MSc Program in IT

Best 211 Master of Science Programs in IT 2017

IT

A Master of Science, or a Master’s degree in Science is an academic degree delivered by Universities in many countries. A Master of Science is a popular choice after completing a Bachelor’s degree.

Master of Science (MSc) in IT

Read More

Master of Science in Information Studies

Trine University
Campus Full time September 2017 USA Fort Wayne Avon + 1 more

A Master of Science in Information Studies* (MSIS) from Trine University is designed to provide students with an opportunity to develop technological leadership in the analysis, design, development, maintenance and operation of information systems. [+]

Master of Science Programs in IT. Master of Science in Information Studies A Master of Science in Information Studies* (MSIS) from Trine University is designed to provide students with an opportunity to develop technological leadership in the analysis, design, development, maintenance and operation of information systems. Technology leadership degree for you Focused, values-driven, and accelerated, this one-year graduate program for adults holding a bachelor degree is defined by an intense focus on information systems. Do you want to grow your leadership and business skills? Are you hoping to advance to the next level in your organization? Do you hold a bachelor degree in a technology field and want a Master's degree in technology? If you answered yes, the MSIS is the right program for you. Learn more about the degree course offerings. Move to the next level In the MS in Information Studies program, students will use the latest tools and techniques to: utilize the managerial process and tools for effective management and leadership. assess and leverage the impact of information technology to enhance business competitiveness and optimize business management. develop professional communication skills in public speaking, public relations, and electronic media. As a technology-savvy specialist ready to move to the next level, you'll be able to critically analyze, design, develop and maintain information systems to solve business problems.You will advance your information and project management skills with the ability to lead and execute information system projects. Graduates will be able to clearly address issues, influence others and encourage cooperation toward organizational goals. Application Instructions A complete application includes the following: Three (3) Letters of Recommendation Transcript(s) Resume Personal Statement GMAT or GRE Scores (if applicable) Completed Online Application Offered This program is currently available at: International and domestic students: Fort Wayne Domestic students only: Avon Degree course requirements The Master of Science in Information Studies program requires 31 credit hours for completion. Prerequisites Students holding a bachelor degree in the following fields of study are best qualified to begin the MSIS program: Computer Engineering Informatics Information Technology Information Systems Information Studies Required Prerequisite Required course for international students who have not studied in the US. ENG 502 Critical Writing & Application (2) Business core courses - 16 credit hours Enhance your leadership skills with business courses that focus on improving your management and professional skills. BA 6933 Statistics & Quantitative Analysis (3) ECO 5033 Macro and Micro Economic Decision Making (3) ENG 501 Research & Writing Skills for Professional Success (1) FIN 6923 Managerial Accounting and Finance (3) GE 5103 Project Management (3) LDR 5223 Organizational Communication (3) Information Studies core - 15 credit hours Build on your background in the technology field with courses that focus on toning your advanced skills. BA 6953 Managing Business Information Systems (3) INF 503 Advance Database (3) IS 5203 Network Management (3) IS 5303 Information Systems Development and Design (3) IS 5803 Information Studies Capstone (3) [-]

Master in Applied Information Technology

Towson University - College of Business & Economics
Campus or Online Full time September 2017 USA Towson

Master in Applied Information Technology Applied (AIT) covers design, development, implementation and support of information systems an addresses the question on how to solve the major challenges in today's work environment. [+]

Why do a Master degree in Applied Information Technology? Applied information technology (AIT) is the study, design, development, implementation and support of information systems to solve the major challenges in today's work environment. Graduate students can update and enhance their skills in a full range of areas, including systems development, IT project management and business analysis. Students complete the requirements for one or more graduate certificates as they work toward completing their degrees. These post-baccalaureate certificate programs are applied programs that focus on the most relevant and timely topics in the field, including: Database Management Systems - Design and develop database systems and learn to manage a large database system. Information Security and Assurance - Implement and support computer-based information systems with a focus on securing information. Information Systems Management - Learn information systems processes and understand the central function of technology in managing organizational processes and achieving objectives. Internet Application Development - Create and apply the latest information systems capabilities for the Internet. Networking Technologies - Develop and implement the design requirements of a successful networked environment. Software Engineering - Study, design, develop, implement and support computer-based information systems. Build Your Degree Students can complete requirements for one of six graduate certificates and can take an additional six graduate-level courses to complete the M.S. in applied information technology. The AIT curriculum is designed to train students in the most current information technology needs and practices. Its six certificates can be earned in a year, increasing the marketability of students immediately. Students also can gain work experience with information technology companies through a graduate assistantship program. Advance Your Career Students who hold bachelor's degrees in other areas but are already working in information technology, those seeking additional coursework for professional growth and career advancement, and students who want to enter the fast-paced world of information technology are all encouraged to enroll. Learn from Leaders Build your IT expertise as you learn from nationally recognized faculty who bring both strong academic reputations and years of practical experience to the classroom. Course content and schedules are geared to working professionals. Courses are offered year round online and in the daytime, evenings and on weekends at Towson's suburban Baltimore campus. Off-Campus Locations This program is also offered at the University Center - Northeastern Maryland. The admission and degree requirements for this master's degree program are the same as those offered on campus. If you are enrolling in this program and have not attended Towson University for one year, you must complete a Graduate Admissions application. Application Deadline This program has rolling admissions--in order to ensure timely processing we recommend submitting your application by August 1 for fall admission, December 1 for spring admission, and May 1 for summer admission. While we will continue to accept applications and materials after these dates, we cannot guarantee that your application will be reviewed in time for the start of classes. Admission Requirements A baccalaureate degree from a regionally accredited college or university* A minimum undergraduate GPA of 3.00 for full admission and 2.75 for conditional admission. These programs are intended for students who have a bachelor's degree in information technology, computer science, computer information systems or a related field who will enter the program for advanced studies; students who have a bachelor's degree in a field not listed above who are already employed in the IT field and are seeking additional academic studies for professional growth or career advancement; and students who have a bachelor's degree in disciplines other than IT who are seeking preparation for careers in this field. [-]

Master in Digital Security

EURECOM
Campus Full time September 2017 France Biot

The Master in Digital Security is designed for those wishing to develop a career as an expert / project manager in the growing field of computer security. [+]

Master of Science Programs in IT. DESCRIPTIONThe Master in Digital Security is designed for those wishing to develop a career as an expert / project manager in the growing field of Computer Security and master skills in a comprehensive range of applications (System and Sotfware Security, Embedded systems Security, Forensics, Biometrics...) OBJECTIVES Provide a solid background in the design and management of security in major areas of communications and computer science. The professional training in security will be offered as a complement to an advanced program in computer networking, mobile services and imaging. Get the skills to tackle security problems encountered in networking, distributed software applications and image processing. The paid 6-month internship provides a cutting-edge professional experience and a future competitive asset. [-]

MSc in Computer Science

University of Nicosia
Campus Full time Part time September 2017 Cyprus Nicosia Greece Athens + 3 more

The Master degree advances the students’ knowledge in core areas of Computer Science beyond the undergraduate level and exposes them to current and emerging trends. The programme provides an introduction to research within the field, while strengthening the candidate's effective application of Computer Science methods. [+]

Concentrations: 1. Cyber Security, 2. Mobile Systems (MSc, 1.5 Years or 3 Semesters) Duration (years): 1.5 years or 3 semesters Qualification Awarded: Computer Science (MSc, 1.5 years or 3 semesters) Level of Qualification: 2nd Cycle (Master’s Degree). Language of Instruction: English. Mode of Study: Full time/ Part time. Minimum Credits: 36 Minimum ECTS Credits: 90 Profile of the Programme: The Master degree advances the students’ knowledge in core areas of Computer Science beyond the undergraduate level and exposes them to current and emerging trends. The programme provides an introduction to research within the field, while strengthening the candidate's effective application of Computer Science methods. The degree is designed to have the learning outcomes related to the application of knowledge and understanding for the analysis, design and development of computer systems. The curriculum prepares the student for a wide variety of computer-oriented careers, such as managerial positions in the ICT industry as well as technical development, administration or entrepreneurial positions in ICT. The degree constitutes an independent and terminal study in addition to providing the basis for acceptance to, and continued studies towards, a doctoral degree in Computer Science. The content of the programme is highly practical and experimental and allows the students to choose those elective courses that will meet their future career goals. The practical direction of the degree aims to address the current and anticipated needs of the local industry, this is achieved through close collaboration between the Department of Computer Science and industrial partners through joined projects, guest lecturers to courses, and open days organised by the University and industrial bodies. The program aims of the specialization in Cyber Security focus on the impact of cyber warfare in the contemporary digital era and the analysis of threats, vulnerabilities and risks in a network environment. It also focuses on penetration testing principles and approaches to mitigate potential network attacks. The program aims of the specialization in Mobile Systems focus on the fundamental concepts of Mobile Computing and wireless technology as well as on the development of software and applications for mobile platforms. Career Prospects: Graduates of the MSc programme should be able to: hold managerial positions in the ICT industry or government offices; become senior technical developers or administrators in the ICT marketplace; become entrepreneurs and establish their own enterprises; continue studying towards a doctoral degree. In addition, graduates of the Cyber Security concentration will be well-suited for positions within government and private industry and should be able to: work as Chief Information Security Officers become System, Network, and/or Web Penetration Testers become Computer Network Defense Analysts hold positions such as Security Consultants as well as System and Application Developers Alternatively, the specialization in Mobile Systems, will enable graduates to: become senior technical developers and Mobile Systems Experts providing Mobile computing solutions hold managerial positions in the Mobile Systems industry hold critical positions in Mobile industry operators Access to Further Studies: The graduate programme provides the basis for acceptance to a doctoral degree in Computer Science. [-]

MSc Cyber Security and Forensics

University of Westminster - Faculty of Science and Technology
Campus Full time United Kingdom London

Computers are central to all aspects of our daily lives; as industries ranging from communications to banking have come to rely on them, the need for improved computer security has never been greater. This course focusses on two aspects of Cyber Security: analysis and assessment of risk plus how to minimise it, and, how to extract and use digital information from a wide range of systems and devices. [+]

Master of Science Programs in IT. Computers are central to all aspects of our daily lives; as industries ranging from communications to banking have come to rely on them, the need for improved computer security has never been greater. This course focusses on two aspects of Cyber Security: analysis and assessment of risk plus how to minimise it, and, how to extract and use digital information from a wide range of systems and devices. The course is structured so that all students cover the same introductory material, but then choose to specialise in either Cyber Security or Digital Forensics. Students taking the course will gain an understanding of the nature of the security threats that face computer systems and the type of information that is stored on digital devices (and how it can be extracted from them). They will benefit from a broad and varied array of state-of-the-art technologies, including: EnCase, FTK and open-source forensic tools, and a dedicated forensics computer laboratory Specialist input from guest lecturers Over 20 university computing laboratories providing access to Unix, Novell and NT servers, all supported by high-bandwidth networks Specialist technicians to ensure you can get the most out of these technologies. Course content All students will take the core modules which are designed to give a comprehensive introduction to this specialist field. They will cover basic digital forensics and network security, and also cover computer system tools and the UNIX operating system. Dealing with digital evidence in a professional manner (that includes adhering to appropriate legal guidelines) is also covered. You will then follow either the Cyber Security or Digital Forensics pathway within the course (though each lead to the same named degree: the pathways are simply opportunities to specialise within the field). In addition, all students will take a Research Methods module and complete a project module. The course offers the opportunity to examine a variety of tools available on the open market, and the use of forensic tools to retrieve data from electronic sources. It will also consider the analysis of professional and ethical issues relating to computer security and forensics, and the development of professional competencies, such as report writing and presenting evidence in court. Teaching methods include lab-based sessions, student-led tutorials and lectures by internal staff and guest speakers from industry. Our courses are offered by friendly, highly experienced staff, and benefit from the diverse specialist knowledge and skills within the departments of the Faculty. Assessments will be carried out mostly through practical or research-based course work. Core modules COMPUTER FORENSICS FUNDAMENTALS This module gives you an introduction to some of the general concepts of computer forensics, as well as helping you to develop the skills that will be needed on other modules. You will cover in detail the layout of volumes on storage devices, and file systems within volumes, with particular emphasis on the FAT file system. You will learn to look at raw devices using low-level tools like hex editors, and consider how security considerations should affect software design and implementation. COMPUTER SYSTEM TOOLS This module commences by giving you a hands-on introduction to the UNIX operating system. You will look at a range of tools that might be used by a forensic examiner: this will include high-level tools like EnCase, FTK and Autopsy, although your main focus will be on low-level tools such as dd and the Sleuthkit tools, as these help to develop your understanding of what (and how) the higher level tools are actually doing. You will also learn to use basic system tools such as grep. In addition you will learn a scripting language so that you can develop your own forensic tools. EVIDENCE AND PROCEDURE You will examine the legal obligations of computer forensics, gaining an understanding of the relevant statutes and industry guidelines, and of proving the authenticity of evidence via a chain of custody from collecting evidence through to presenting findings in a professional manner. The module also aims to provide you with a broad understanding of the professional factors that influence the work of professional practitioners, particularly in the context of the 'Expert Witness'. NETWORK SECURITY The module will cover the basics of how networks work, what the specific threats to networks are, and how they might be ameliorated. POSTGRADUATE PROJECT MODULE This module is the culmination of the course. It is an opportunity for you to put into practise many of the skills learned elsewhere on the course. It is a major piece of work on a topic chosen by you (normally, this topic will be chosen as part of the Research Methods module). You will undertake this work individually, and will be assigned a project supervisor to assist with and guide the development of the project. RESEARCH METHODS This module is shared with other MSc courses run by the Department. Its main focus is on introducing you to research, and developing the skills you need to read and evaluate original research literature. This in turn leads into the Project, and a major outcome of the module should be a Project Proposal. In addition, the module addresses certain aspects of Personal Development Planning (PDP). Course-specific entry requirements You are usually expected to have a good degree (generally an upper second class honours) in a computing-related discipline from a UK university or overseas equivalent. If your first degree does not have a strong computing element then your work experience and other qualifications may also be taken in to account. You should submit a statement of purpose with your application in which you present your key interests and career aspirations and how you believe the course can help you to achieve these, as well as the relevant qualities and experience you will bring to the course. You may invited by the admissions tutor an informal interview. If your first language is not English you will need an IELTS score of at least 6.5 (or equivalent). Associated careers Depending on their chosen pathway graduates of the course are expected to find employment as information security/senior security officers and related cyber security roles or more technical roles investigating threats and safeguarding digital assets their life-cycle. Such roles will range from supporting industry, the public sector in general and the police and law enforcement agencies specifically, while some may focus more on researching new security threats and countermeasures. Additional also arrive for a supportive alumni community, including graduates with work experience who use their new skills and qualification to progress their career to more senior posts. [-]

Information, Network, & Computer Security, M.S.

NYIT- Abu Dhabi
Campus Full time September 2017 United Arab Emirates Abu Dhabi

In the Master of Science in Information, Network, and Computer Security, you will critically evaluate various technical/architectural solutions to limit risk, mitigate the effects of hostile action, and recover from attacks; design, implement, and maintain software tools to support network security across multiple operating systems; oversee the information life cycle of an organization, including planning, acquisition, and implementation of secure infrastructures; study algorithm concepts, computer forensics, risk management and legal issues, and intrusion detection and hacker exploits [+]

Information, Network, & Computer Security, M.S. In the Master of Science in Information, Network, and Computer Security, you will: critically evaluate various technical/architectural solutions to limit risk, mitigate the effects of hostile action, and recover from attacks design, implement, and maintain software tools to support network security across multiple operating systems oversee the information life cycle of an organization, including planning, acquisition, and implementation of secure infrastructures study algorithm concepts, computer forensics, risk management and legal issues, and intrusion detection and hacker exploits NYIT professors have been awarded several prestigious research grants in the field, in areas including: biometrics conceptual modeling cryptography cyber behavioral authentication genomic computation mobile and cybersecurity swarm intelligence Our 30-credit curriculum also offers a thesis option in which you’ll take six credits relating to thesis courses. This allows you to gain specialization in areas that make you better qualified for specific research and development opportunities. Our Entrepreneurship and Technology Innovation Center (ETIC) in Old Westbury offers you the opportunity to join research projects in areas such as cybersecurity, health care, and energy. This may lead to your work getting published in peer-reviewed journals and presented at major conferences. You can also join us at the annual Cybersecurity Conference at our Manhattan campus, where we welcome experts from academic, business, and government worldwide. Career Options An NYIT degree is your passport to an exciting future in an in-demand field. Possible career opportunities for graduates with this degree include: AI scientist Cybersecurity expert IT director Network specialist Research and development expert Software engineer [-]

MS in Information Technology and Management

University of North Carolina Greensboro
Campus or Online Full time Part time August 2017 USA Greensboro

The MS in IT Management program prepares students to deal effectively with a variety of complex issues related to the application of IT within organizations. Our curriculum provides state-of-the art exposure to both IT and management practices. In addition to technology and business studies, all students will be required to demonstrate communication and presentation skills, interpersonal skills, teamwork skills, and problem-solving capabilities. The MSITM program is open to students with diverse undergraduate backgrounds. The length of the program varies based on the number of hours a student takes per semester. Our flexible and dynamic curriculum helps students achieve their individual career objectives. The MSITM program is available in two distinct modes: face-to-face and online. Please note: Applicants requiring F1 visa can only apply to the Face-to-Face Program [+]

Master of Science Programs in IT. The MS in IT Management program prepares students to deal effectively with a variety of complex issues related to the application of IT within organizations. Our curriculum provides state-of-the-art exposure to both IT and management practices. In addition to technology and business studies, all students will be required to demonstrate communication and presentation skills, interpersonal skills, teamwork skills, and problem-solving capabilities. The MSITM program is open to students with diverse undergraduate backgrounds. The length of the program varies based on the number of hours a student takes per semester. Our flexible and dynamic curriculum helps students achieve their individual career objectives. The MSITM program is available in two distinct modes: face-to-face and online. The online MSITM program was ranked 12th out of 38 online graduate Computer Information Technology programs by U.S. News & World Report’s 2015 list of Best Online Programs. Please note: Applicants requiring F1 visa can only apply to the face-to-face program This school offers programs in: English [-]

Master in Data Science

University of Helsinki
Campus Full time August 2017 Finland Helsinki

In the Data Science master’s programme, you will gain a solid understanding of the methods used in data science. You will learn not only to apply data science: you will acquire insight into how and why methods work so you will be able to construct solutions to new challenges in data science. In the Data Science master’s programme, you will also be able to work on problems specific to a scientific discipline and to combine domain knowledge with the latest data analysis methods and tools. The teachers of the programme are themselves active data science researchers, and the programme is heavily based on first-hand research experience. [+]

Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Data scientists help organisations make sense of their data. As data is collected and analysed in all areas of society, demand for professional data scientists is high and will grow higher. The emerging Internet of Things, for instance, will produce a whole new range of problems and opportunities in data analysis. In the Data Science master’s programme, you will gain a solid understanding of the methods used in data science. You will learn not only to apply data science: you will acquire insight into how and why methods work so you will be able to construct solutions to new challenges in data science. In the Data Science master’s programme, you will also be able to work on problems specific to a scientific discipline and to combine domain knowledge with the latest data analysis methods and tools. The teachers of the programme are themselves active data science researchers, and the programme is heavily based on first-hand research experience. Upon graduating from the Data Science MSc programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. In particular, you will be able to Understand the general computational and probabilistic principles underlying modern machine learning and data mining algorithms Apply various computational and statistical methods to analyse scientific and business data Assess the suitability of each method for the purpose of data collection and use Implement state-of-the-art machine learning solutions efficiently using high-performance computing platforms Undertake creative work, making systematic use of investigation or experimentation, to discover new knowledge Report results in a clear and understandable manner Analyse scientific and industrial data to devise new applications and support decision making. The MSc programme is offered jointly by the Department of Computer Science, the Department of Mathematics and Statistics, and the Department of Physics, with support from the Helsinki Institute for Information Technology (HIIT) and the Helsinki Institute of Physics (HIP), all located on the Kumpula Science campus. In your applied data science studies you can also include multidisciplinary studies from other master's programmes, such as digital humanities, and natural and medical sciences. The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee is 15 000 EUR. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check the FAQ at the Studyinfo website whether or not you are required to pay tuition fees. In­form­a­tion on the lan­guages of in­struc­tion All teaching is in English. You can also take exams and complete work, such as your Master's thesis, in Finnish or Swedish. Pro­gramme con­tents The Data Science MSc programme combines elements from computer science and mathematical sciences to provide you with skills in topics such as machine learning, distributed systems and statistical methods. You might also find that knowledge in a particular scientific field is useful for your future career. You can obtain this through elective studies in the MSc programme, or it might already be part of your bachelor-level degree. Studies in the Data Science MSc programme include both theoretical and practical components, including a variety of study methods (lectures, exercises, projects, seminars; done both individually and in groups). Especially in applied data science, we also use problem-based learning methods, so that you can address real-world issues. You will also practise academic skills such as scientific writing and oral presentation throughout your studies. You are encouraged to include an internship in your degree in order to obtain practical experience in the field. Elective studies give you a wider perspective of Data Science. Your elective studies can be an application area of Data Science (such as physics or the humanities), a discipline that supports application of Data Science (such as language technology), or a methodological subject needed for the development of new Data Science methods and models (such as computer science, statistics, or mathematics). Se­lec­tion of the ma­jor You can specialise either in the core areas of data science -- algorithms, infrastructure and statistics -- or in its applications. This means that you can focus on the development of new models and methods in data science, supported by the data science research carried out at the University of Helsinki; or you can become a data science specialist in an application field by incorporating studies in another subject. In addition to mainstream data science topics, the programme offers two largely unique opportunities for specialisation: the data science computing environment and infrastructure, and data science in natural sciences, especially physics. Pro­gramme struc­ture You should be able to complete the MSc Programme in Data Science of 120 credits (ECTS) in two years of full-time study. The programme consists of Common core studies of basic data science courses Several modules on specific topics within data science algorithms, data science infrastructures and statistical data science, and on data science tools Seminars and colloquia Courses on academic skills and tools Possibly an internship in a research group or company Studies in an application domain Master’s thesis (30 credits) Thesis The programme includes a mandatory Master’s thesis. Your Master’s thesis will focus on a data science problem and on applying the knowledge you have learned during your MSc courses to solve that problem. The problem you address can be theoretical or practical in nature, but your thesis work must always have a research component and a scientific basis. In your thesis you will demonstrate your ability to think scientifically, your command of research methods, your familiarity with the subject of study, and your aptitude for written scientific communication. Your thesis should contain a definition of the research questions, a review of the relevant literature, and theoretical, constructive or empirical parts developing answers to your research questions. You will have a supervisor appointed to oversee your thesis. You and your supervisor will have regular meetings to ensure that your work is progressing smoothly and on schedule. The thesis is worth 30 credits, roughly corresponding to one semester of full-time studies. Although your thesis is independent work, you can often write it as part of a research group. You might also be able to write your thesis for a company as long as you fulfil the academic criteria described above. You can discuss these issues with your supervisor. Ca­reer pro­spects Industry and science are flooded with data and are struggling to make sense of it. There is urgent demand for individuals trained to analyse data, including massive and heterogeneous data. For this reason, the opportunities are expected to grow dramatically. The interdisciplinary Data Science MSc programme will train you to work in data-intensive areas of industry and science, with the skills and knowledge needed to construct solutions to complex data analysis problems. If you are focusing on the core areas of data science, you will typically find employment as a researcher or consultant, sometimes after taking a PhD in Computer Science or Statistics to deepen your knowledge of the field and research methods. If your focus is on the use of data science for specific applications, you will typically find work in industry or in other fields of science such as physics, digital humanities, biology or medicine. Com­pet­ence A Master's degree gives eligibility to apply to positions that require a second cycle academic degree i.e. a Master’s level degree. In­ter­na­tion­al­iz­a­tion The Data Science MSc is an international programme, with students from around the world and an international research environment. All of the departments taking part in the programme are internationally recognised for their research and a significant fraction of the teaching and research staff come from abroad. The departments participate in international student exchange programmes and offer you the chance to include international experience as part of your degree. Data Science itself is an international field, so once you graduate you can apply for jobs in any country. In the programme, all courses are in English. Although the Helsinki area is quite cosmopolitan and English is widely spoken, you can also take courses to learn Finnish at the University of Helsinki Language Centre. The Language Centre also offers an extensive programme of foreign language courses for those interested in learning other languages. Net­work­ing Education in the programme is multidisciplinary, combining the expertise of the Department of Computer Science, the Department of Mathematics and Statistics, the Department of Physics, the Helsinki Institute for Information Technology (HIIT) and the Helsinki Institute of Physics (HIP). The University of Helsinki offers a huge variety of possibilities for elective studies with which you can complement your data science expertise. For example, you can take advantage of courses offered by the MSc Programme in Life Science Informatics. Collaboration with Aalto University, through the joint institutes HIIT and HIP, gives you further opportunities. Teaching in the programme is based on research carried out in the above-mentioned departments and institutes, often in collaboration with other fields of science, as well as with industry. Particle physics data analysis, for instance, is carried out in collaboration with CERN. An example of industrial cooperation is the Nokia Center for Advanced Research, a joint research centre between the University of Helsinki, Aalto University, and Nokia. Re­search fo­cus The MSc programme in Data Science is offered jointly by three departments and two research institutes. Their research covers a wide spectrum of the many aspects of data science. At a very general level, the focal areas are Machine learning and data mining Distributed computation and computational infrastructures Statistical modelling and analysis Studies in the programme are tightly connected to research carried out in the participating departments and institutes. [-]

Master of Science in Information Technology

Virginia International University
Campus Full time September 2017 USA Fairfax

The Master of Science in Information Technology (MIT) program prepares students for leadership roles in the IT industry. The program provides knowledge and skills across the entire range of topics in the industry – systems engineering, decision-making for IT, ethics and law, computer networking, database technologies, IT governance and strategy, Web development, and information assurance. [+]

Master of Science Programs in IT. The Master of Science in Information Technology (MIT) program prepares students for leadership roles in the IT industry. The program provides knowledge and skills across the entire range of topics in the industry – systems engineering, decision-making for IT, ethics and law, computer networking, database technologies, IT governance and strategy, Web development, and information assurance. The core of the program is focused on building a foundation of critical thinking skills on which to make professional judgments and design and implement solutions aligned with business needs. The MIT program builds these thinking skills through a solid understanding of theoretical methods, principles, and tools and an examination of fundamental information technology issues and processes. Topics include systems engineering, decision-making for IT, ethics and law, computer networking, database technologies, IT governance and strategy, Web development, and information assurance. Faculty with both academic and industry backgrounds also provide practical perspective. Real-world problems and opportunities with software intensive systems are explored, and methods to evaluate, adopt and take advantage of emerging technologies are learned. MIT students will be working closely with fellow IT professionals, to complete class assignments within teams, in order to prepare students for the real-world work environment and build their professional networks. Possible career path: Network Administrator, Network Architect, IT Manager, Chief Technology Officer, Network and Security Engineer, Web Developer, Integration Engineer, Network and Systems Administrator. Degree Requirement The program consists of seven (7) Core Courses and five (5) Elective courses. The elective courses provide the opportunity for the students to develop further competencies covered in the core courses, based on their area of interest. Pre-IMT Program Students who have earned their bachelor’s degrees with less than 120 undergraduate credit hours can be given conditional admission to the MIT program, provided they enroll in and successfully complete the remaining credit hours by selecting from the Bachelor of Science in Computer Science (BCS) undergraduate courses offered at VIU. Among the 120 required credit hours, the MIT program prerequisite courses must be fulfilled. Before choosing the Pre-MIT courses, students must consult their academic advisor who will advise them on the appropriate course selections from VIU’s BCS program while complying with MIT program prerequisites. Successful completion of the Pre-MIT courses will allow these students to complete the undergraduate credit hour requirement of 120, and enter into the program.. Objectives The program objectives fall in two general categories: technical and organizational. Upon completion of the program, graduates will be able to: In the technical domain: Utilize a methodological approach to system design and implementation. Develop architectural solutions for computer systems and associated technologies. Develop applications using database technologies. Implement and maintain networking and system infrastructure. Apply problem solving skills in web site development, web-database integration, and network and system administration. Develop depth in a selected area of expertise. In the organizational domain: Contribute to business processes through a process of analysis, design, and optimization in response to organizational needs. Interact effectively within the organization. Communicate effectively in oral, written, and graphical modes. [-]

Masters of Science in Engineering in Artificial Intelligence and Robotics

Sapienza University of Rome
Campus Full time October 2017 Italy Rome

The Masters of Science in Engineering in Artificial Intelligence and Robotics (LM-28224) aims to provide students with the knowledge and ability to design and implement artificial intelligence and robotic systems, as well as the interdisciplinary skills that are essential to manage complex projects and their impact on the society. [+]

The Masters of Science in Engineering in Artificial Intelligence and Robotics (LM-28224) aims to provide students with the knowledge and ability to design and implement artificial intelligence and robotic systems, as well as the interdisciplinary skills that are essential to manage complex projects and their impact on the society. Computer Engineering is among the fastest growing fields and presents unlimited opportunities in nearly every field. Students will learn to: Design and develop advanced knowledge-based and multi-agent software systems; Design and develop robotic systems for services and industrial applications, including safety and security, space, home, care of the elderly, medicine; Design and develop computer animation systems for the movie and videogame industries; Design and develop video systems for environmental, production and service surveillance and monitoring; Compose and coordinate research and development teams in advanced technology companies; Plan, supervise, design and implement, when possible through interdisciplinary teams, innovative applications in information technology and related areas such as automation, telecommunications, and resource management; Promote the technological transferal of research results and technological advancements to public and private organizations; Manage and train human resources for information technology. Career opportunities Computer engineering is among the fastest-growing fields with unlimited opportunity in nearly every industry. The Master's degree in Artificial Intelligence and Robotics provides the knowledge and tools to the design and implementation of information processing systems and their specific components. Engineers with the Artificial Intelligence and Robotics graduate degree qualify for jobs in information technology, with focus on Artificial Intelligence, Robotics, or Computer Graphics. Typical examples of target activities are: automation and robotics software development dedicated and embedded systems design Potential job titles include: Knowledge engineer Robotics engineer Computer graphics engineer Project manager Applications engineer Design engineer Development engineer [-]

MSc in International Information Systems

Friedrich-Alexander-Universität Erlangen-Nürnberg FAU
Campus Full time October 2017 Germany Nürnberg

International Information Systems [+]

Master of Science Programs in IT. Contents of the degree programme Managing Enterprise-wide IT Architectures Managing IT-enabled Business Managing IT-enabled Organizations Managing Global Projects & Information Technology IT-enabled Innovation & Value Creation IT-enabled Processes & Services Database Systems (3 modules) Software Engineering (3 modules) Master Thesis Occupational fields Leading positions in globally operating companies, public administration, and international organisations Typical occupational fields: business consulting, project management, process management, enterprise architecture, change management, technology management or IT strategy, innovations management, digital marketing,social media management and analytics Qualification requirements Above-average university degree in management, economics, computer science, information systems or an IT-focused engineering subject Language requirements Good English proficiency required, e.g. 95 points in TOEFL iBT, Cambridge CAE, Unicert III Good German proficiency at the GER A2 level (minimum) Student Services fee The contribution of students currently amounts to 42 Euro per semester. An additional charge of 70 Euro covers the mandatory basic “semester ticket”, a transit pass that provides students with unlimited access to public transportation in the metropolitan region Nürnberg from 7pm to 6am weekdays and around the clock on weekends (for an optional charge the pass can be valid around the clock every day). [-]

Data Science: Business and Governance (MSc)

Tilburg University
Campus Full time 12  August 2017 Netherlands Tilburg

Today’s society operates on large amounts of data. Industry, governments and academia are asked to provide insight into these data. The MSc specialization Data Science: Business and Governance trains students to become Data Scientists that can address these questions. The Harvard Business Review calls the job of Data Scientist "the sexiest job of the 21st century"!... [+]

Master Specialization in Data Science: Business and Governance (MSc) Today’s society operates on large amounts of data. Industry, governments and academia are asked to provide insight into these data. But how do we deal with such large amounts of data? What techniques do we use to mine the data? What are the legal and ethical aspects regarding these data sets? And what economic value can be found in big data? The MSc specialization Data Science: Business and Governance trains students to become Data Scientists that can address these questions. The Harvard Business Review calls the job of Data Scientist "the sexiest job of the 21st century"! Why Data Science: Business and Governance in Tilburg? Tilburg University offers a wide range of complementary expertise, including techniques for data mining, pattern recognition, business analytics, visualization and process analytics; as well as knowledge on law, regulation, ethics and entrepreneurship. The MSc specialization consists of courses in methods of analysis, together with economic and management as well as legal, ethical and methodological perspectives on data, all of them taught by experts in these fields. The Master’s specialization Data Science: Business and Governance offers (constitutes/ consists of) a well-balanced mixture of theoretical and practical (elective) courses. These elements combine to make this specialization unique in Europe and possibly even in the world: Four schools (Tilburg School of Economics and Management, Tilburg School of Law, Tilburg School of Social and Behavioral Sciences, and the Tilburg School of Humanities) work together in offering the best possible training for the job of the future, that of Data Scientist. Career Prospects Data Science: Business and Governance graduates will not only have knowledge and expertise in the area of data analysis and data mining, but also in economic, management and legal perspectives on big data. Growing need for Data Scientists There is a growing need in government organizations, in companies and in academia for employees with the analytical skills needed to analyze large datasets, recognize patterns, and visualize data, and combining these skills with interdisciplinary knowledge of perspectives on Data Science. [-]

Master Startup and Digital Development - Taught in FRENCH

École de Management de Normandie / Normandy Business School
Campus Full time September 2017 France Caen

This program is taught in FRENCH. [+]

Master of Science Programs in IT. This program is taught in FRENCH. Read the official French description and apply here: MS Startup et Développement Numérique [-]

MSc in Data Science for Business

University of Stirling
Campus Full time 12  September 2017 United Kingdom Stirling

This exciting new course is the first in Scotland to be run in partnership with SAS, a global leader in business analytic solutions. It has been developed in close collaboration with leading financial services organisation HSBC and The Data Lab, to produce graduates with the skills that industry needs. [+]

This exciting new course is the first in Scotland to be run in partnership with SAS, a global leader in business analytic solutions. It has been developed in close collaboration with leading financial services organisation HSBC and The Data Lab, to produce graduates with the skills that industry needs. The course addresses the acknowledged shortage of business leaders and managers with a detailed working knowledge of data analytics. It provides students with a deep understanding of the industrial and scientific relevance of advanced analytics and their application in strategic and operational decision making. In doing so it develops graduates with highly sought after blend of data analytics, business acumen and advanced management skills. The course gives you the opportunity to develop specialist skills by choosing elective modules from finance, marketing, data science and management. You’ll work in real life consultancy-style projects alongside industry leaders in data analytics. Our extensive network of external organisations across all sectors provides opportunities to build your knowledge, skills and experience for a successful career in business analytic roles. SAS partnership Our partnership gives students access to SAS educational material and licensed software, plus the opportunity for engaging in projects with an industry leader in the field of business analytics. Global organisations from all sectors use SAS to support strategic decision making. We’re confident that this partnership will make students stand out in their chosen career path. The Data Lab We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, TheDataLab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations seeking business analytics skills with students looking for exciting opportunities in this field. www.thedatalab.com Top Reasons To Study With Us Flexible course structure — specialise in finance, marketing, data science or management Industry partnership — gives our students access to SAS educational materials and licensed software Endorsed by The Data Lab — one of Scotland’s innovation centres that helps universities develop new data science capabilities in a collaborative environment Stirling’s global research rating — we’re among the top 25 in the UK according to REF 2014 Build your global network — study alongside international students across a range of business disciplines What makes us different? Entry requirements Academic requirements You’ll need a minimum of a second class honours degree in any subject, or an equivalent qualification. However, you can still apply if you don’t have these formal qualifications, but bring significant work experience in a relevant area. If you don’t meet the required criteria for this course, you can complete the Graduate Diploma in Business, Finance and Sport to gain a guaranteed entry onto this Master's degree. INTO University of Stirling offers a Graduate Diploma for those students who do not meet the required criteria for this course. If you successfully complete the Graduate Diploma in Business, Finance and Sport and meet the required progression grades, you will be guaranteed entry onto this Master's degree. English language requirements If English is not your first language you must have one of the following qualifications as evidence of your English language skills: IELTS: 6.0 with 5.5 minimum in each skill Cambridge Certificate of Proficiency in English (CPE): Grade C or above Cambridge Certificate of Advanced English (CAE): Grade C or above Pearson Test of English (Academic): 54 with 51 in each component IBT TOEFL: 80 with no subtest less than 17 If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard. Scholarships & funding Stirling Management School postgraduate scholarships Stirling Management School is committed to investing in academically talented students, helping them to further their education with one of our degree courses. There are various categories of funding available to support the cost of your studies. Other scholarships and funding You may qualify for University funding as well as funding from government bodies, the European Commission, funding trusts, research councils, industry and employers. Find out more with our Scholarship finder. Postgraduate Tuition Fee Loan This course is currently approved for PTFL funding from SAAS. Fully funded masters scholarships In partnership with the Scottish Funding Council (SFC), Scottish Aquaculture Innovation Centre and The Data Lab, the University of Stirling is currently offering up to 82 fully funded places on a select range of Masters Programmes during 2016/17. For each place, the full cost of tuition will be covered across a diverse set of courses. All of the cutting-edge programmes supported by this funding have been handpicked because they arm graduates with all the skills necessary to impact Scotland's key up-and-coming industries – and each scholarship is supported by a set of inclusive eligibility requirements. How do I apply? You don't. So long as you apply for one of the listed postgraduate courses, accept an unconditional offer and meet all eligibility requirements, you will automatically be considered for one of the SFC's 82 masters scholarships. Successful candidates will then be notified via email by the University's Admissions Office. Structure and content Begin your course in the best possible way, with our unique Flying Start Leadership programme. It’s exclusively for new students about to start one of our postgraduate courses. You’ll take part in a wide range of group and individual activities, workshops and information sessions to help you prepare for the year ahead, and make the most of your time at the University of Stirling Management School. Attend the Flying Start Leadership programme and you will: Discover more about the exciting period of learning ahead Understand what is expected of you in your course Get to know the teaching and support staff Learn more about a diverse range of approaches to learning Work as part of a successful team Develop your personal goals for the year ahead Activities range from practical skills – such as effective public speaking – to developing ways to work in groups with other students. The programme is also a chance to discover all that the University and the vibrant city of Stirling has to offer, and to make new friends. Other learning activities to prepare you for study in the UK Prepare for Success is an interactive web learning tool for international students who are coming to the UK to study. The aim of the course is to equip graduates with a highly sought after blend of data analytics, business acumen and advanced management skills. Through a series of core modules, you’ll acquire the knowledge, skills and experience for a successful career in data analytic roles. You’ll also develop an understanding of the ways data analytics is used in organisations across different sectors. This will be achieved through data analytics theory and practice, with many opportunities to work with real data sets. You’ll also have the opportunity to work with industry partners, through consultancy projects, as well bringing their expertise into the classroom. Over the two semesters, you will: Acquire knowledge, skills and experience for a successful career in data driven roles Understand the applications and implications of data analytics in organisations across different sectors Develop knowledge and skills of data analytics tools and techniques for business decision making Enhance your capabilities and confidence for championing data analytic projects Enhance and develop critical, analytical, interpersonal and other transferable skills Delivery and assessment The one-year MSc course is delivered via a mix of lectures, tutorials, case studies, role playing, computer simulations, fieldwork exercises, site visits, guest speakers and company projects. Much of the assessment is continuous. Assessed work is often conducted in groups, developing your teamwork and communication skills. During the second semester you’ll carry out a consultancy project with an external organisation tackling a critical business challenge. This will give you an opportunity to integrate and apply the knowledge and skills you develop throughout your degree. Strengths Wide-ranging expertise This programme has been developed in close collaboration with key business and research partners across private and public sector. The course has been endorsed by the DataLab, Scotland’s leading Data Science Innovation Centre. It aims to enable industry, public sector and researchers to innovate and develop new data science capabilities in a collaborative environment. The strength of the programme is twofold: It combines data science with business, including personal and professional skills development The practical application of the modules helps students make a difference in the workplace from day one Flexible course structure The flexible design of the degree course means you can specialise in finance, marketing, data science and management. Networking opportunities Many of our postgraduate students come from overseas. Studying at Stirling offers an excellent opportunity to establish your own global network of contacts at the outset of your career. Professional development for long-term success Our Flying Start Leadership programme helps you develop self-awareness about your strengths and acquire new competencies in a supportive environment. Career opportunities Demand for people with data analytics skills is projected to grow rapidly. Average salaries are higher in data analytics jobs than the IT average and the skills shortage will make that gap bigger. The Stirling MSc Data Science for Business is run in partnership with industry and is designed to produce graduates with the skills that companies need. The Tech Partnership UK estimate that: By 2020 there will be 56,000 big data jobs in the UK alone Big data professionals earn on average 31% more than other IT professionals 77% of companies say it is difficult to recruit people with the big data skills they need A 2014 report by Egon Zehnder and the Kellog School of Management states that “all leaders need a working knowledge of data science” and that “there is no lack of data scientist, rather a lack of data-ready managers”. This is the specific issue that the proposed programme is going to address. There’s a clear need for high-quality graduates with a blend of skills in data analytics and business management. This MSc will develop graduates with the necessary specialist knowledge, technical skills and experience for a successful career in roles requiring data-driven decision making across a range of sectors. This course combines the latest theories with their application in real organisations and brings together two areas of expertise within the University – big data analytics (Computing Science and Mathematics, Faculty of Natural Sciences) and management and leadership (Management). The course has a high level of engagement with industry, research and recruitment partners in the course design, delivery, project work and skill development activities. You’ll have the opportunity to gain first-hand practical experience by working on consultancy style projects with external clients. [-]

MS in Computational and Data Sciences

Chapman University
Campus Full time Part time September 2017 USA Orange

The Master of Science in Computational and Data Sciences is a uniquely interdisciplinary approach to solving critically important problems, using mathematics, physics, chemistry, biology, statistics and computing. [+]

Master of Science Programs in IT. As the challenges we face—environmental, biological, chemical, geophysical—continue to grow and generate massive amounts of data, it’s computational and data sciences that will help us meet those issues head on. The Master of Science in Computational and Data Sciences is a uniquely interdisciplinary approach to solving critically important problems, using mathematics, physics, chemistry, biology, statistics and computing. Through modeling, simulation, data mining, and study of specific phenomena via computer analysis and engineering, you will learn to apply extraordinary technology and processes to answer the world’s most complex questions as part of your Computational and Data Science degree. Whereas computer science involves the pursuit of new frontiers chiefly within the realm of computer software and hardware, computational science practitioners apply the knowledge and power of computing to other science disciplines, whether it be running a costly physics experiment through a computer simulation to save millions, or creating new software that can sift through raw data with a far more strategic and sophisticated eye. Your Classes Four concentrations are available within the graduate program: - Analytics and Applied Mathematics - Bioinformatics and Computational Biology - Computational Economics - Earth System Science Computational Scientists construct mathematical models, develop quantitative analysis techniques and use modern computing technology to tackle Big Data problems in a wide variety of disciplines. In this program you will learn to apply techniques including Machine Learning, High Performance Computing, Time Series Analysis and Image Processing to answer the world’s most complex questions in fields such as Bioinformatics, Climate Modeling, Drug Design, Economic Science and Predictive Analytics. You will also be prepared for a career in the exploding new field of Data Science. Your Faculty Chapman’s computational science faculty consists of internationally renowned educators, scholars, researchers, and experts in their fields, all committed to collaborative, faculty-mentored student research aimed at preparing graduates for the most demanding careers. Our faculty are involved with the top scientific communities in the country: NASA, Jet Propulsion Laboratory, Environmental Protection Agency, U.S. Geological Survey, and the National Institutes of Health, among others. Your Career According to academic forecasters and business analysts, computational and data science is one of the most rapidly emerging areas of study in the nation. Chapman’s graduate program in computational and data science will help you find your place in this ever-growing field. Upon graduation, you’ll be greeted with a diverse range of career options. Graduates go on to work in the areas of aerospace engineering, data science, environmental modeling, medical development, gene sequencing, geology and meteorology. Admission Guidelines Prerequisite Courses: All prerequisite courses must be met by the end of the first semester - Differential Equations - Data Structures - Probability and Statistics Admission Requirements: 1. Online application for admission (includes $60 non-refundable application fee) 2. Official transcript from degree granting institution 3. Graduate Admission Test Scores – The Graduate Record Examination (GRE) general test scores are required and must have been taken within the last five years. Applicants must achieve the following minimum scores which are listed as previous version test scores and new version test scores: - Verbal: 500/153 - Quantitative: 550/146 - Analytical Writing: 4.0/4.0 4. Letters of recommendation – two letters of recommendation are required, including one from an academic source which describes your professional and academic abilities. 5. Statement of Intent – a 750 word essay. Applicants are expected to address science topics they are interested in and how they envision applying computational science in those areas. 6. Resume – a resume or curriculum vitae is required. 7. TOEFL (International Students Only) – applicants who have completed their undergraduate degree outside of the United States are required to achieve an acceptable score on the Test of English as a Foreign Language (TOEFL), minimum: - 550 (paper-based) - 213 (computer-based) - 80 (internet-based) 8. Financial Certification Form (International Students Only) [-]