Masters Program in IT

Best 192 Master Programs in IT 2017

IT

A Masters degree is an academic degree awarded to individuals who successfully denote a higher level of expertise. There are two main types of Masters - taught and research.

In information technology programs, students may be able to explore different types of technology applications and the way in which information is created, exchanged and stored. Students may learn how to write code and can explore areas such as information security, software applications, system design and databases.

Master Degree in IT

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MRes Computer Science

Xi'an Jiaotong-Liverpool University
Campus Full time 18  September 2017 China Suzhou

The MRes (Master of Research) in Computer Science programme is designed to develop students’ understanding of the research process and their ability to carry out research. [+]

Master's Degrees in IT. Overview The MRes Computer Science programme is designed to develop your understanding of the research process. It is for graduates from a computer-related discipline who wish to investigate research as a possible career, or who wish to extend their knowledge of one particular facet of computing. This programme provides you with an MRes that allows you to focus on your desired specialism, whilst our international staff provide all necessary support. Graduates of this programme, as with all XJTLU masters degrees, earn a University of Liverpool degree that is recognised by the Chinese Ministry of Education. Knowledge and skills The MRes Computer Science programme will equip you with comprehensive knowledge and understanding of: • advanced theoretical fundamentals of current trends in computer science • state-of-the-art key research issues in specialised areas of computer science • techniques for project management and the design, implementation and evaluation of IT solutions. Modules You will complete four taught modules in the first semester, followed by a research project for a total duration of 18 months. The precise content of your research project will be discussed and decided with your project supervisor and is subject to approval. Core modules: • Research methods • Project management • Dissertation. Elective modules: • Cloud computing • Data mining and Big Data analytics • Interactive systems • Object-oriented programming. Additional learning activity modules Careers Graduates from this programme will find employment as research and development engineers, systems developers and project leaders in IT companies, or will go on to further studies as a PhD candidate. Fees RMB 90,000 for the entire 18 month full-time programme. University tuition fees cover the cost of your study with us. Entry requirements: academic background An undergraduate degree (UK 2:1 or equivalent) in a computer science-related discipline with suitable programming and programme design experience. English language requirements • IELTS: 6.0 (minimum of 5.0 in all sections) • TOEFL iBT: 80 [-]

Master in Data Science

Bologna Business School
Campus Full time 12  December 2017 Italy Bologna

The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. [+]

The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. The data business is becoming a key sector for the European economy, the development of products and services based on data and the analysis of data collected in companies, public entities or that are available on social networks. The aim being to obtain operational indications and to identify new business opportunities. Big Data is a big challenge of today’s world, but we are training professionals to understand and create value from this complex information. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data. Data Scientist is defined by the Economist as “the most interesting job of the twenty-first century, combining the skills of an IT technician, statistician and storyteller to extract the golden nuggets hidden under the mountains of data.” The Master in Data Science offers 3 different types of skills: solid computer training, an understanding of the technological aspects and knowledge of business dynamics. This Master creates professionals with across-the-board skills who are able to integrate with the company’s management. The program concludes with a Field Laboratory Work and a company internship. THE MASTER IS AN INVESTMENT. THE HONOR LOAN IS THE WAY TO FUND IT. “PerTe Prestito Con Lode”, a long-term and low-interest honor loan, with no collateral required to cover the full amount of the tuition fee. STRUCTURE The Master in Data Science is a full-time program structured in 1,500 hours of learning activities over 12 months of study, divided into: 360 hours of lecturing, an estimated 540 hours of independent study, and 600 hours of internship. The structure of the Master is divided into two terms: First term: December 2017 – April 2018 Second term: April 2018 – July 2018 Internship: September 2018 – December 2018 The Master offers a series of pre-courses at the start of the academic schedule: Software programming (Python), the foundations of data and SQL, basics in descriptive and inferential statistics, explorative data analysis and the fundamentals of economics. Classroom participation is about 30 hours per week structured in order to allow time to work in groups, while not neglecting individual students focus and management of interpersonal relationships. LEARNING METHOD The educational sessions provide different learning methods, including lectures, simulations, discussions of case studies and presentations by companies, testimonials, and group work. The curriculum is completed with master lectures held by professionals from the worlds of business, academia and politics, with opportunities for discussion and interaction with the business world through case histories. CAREER DEVELOPMENT Building synergies with businesses is a priority and a distinguishing characteristic of all programs of Bologna Business School, including the Master in Data Science. The School is fully dedicated to preparing students for the job market and it accomplishes this through systematic career development, with an ongoing commitment to combine the best professional projects by students with the demands of businesses. The internship is an excellent springboard to the professional world, evidenced by the fact that six months after completing the full-time master at Bologna Business School, an average of 85% of alumni are working in a company. [-]

Master Sensor System Engineering (SSE)

Hanze University of Applied Sciences - Groningen, the Netherlands
Campus Full time September 2017 Netherlands Groningen

This master prepares you for a bright future in the fascinating world of advanced sensor applications. A domain that is rapidly growing, providing all kinds of interesting prospects for you, ambitious engineers. Within the globally important domain of health, sensor applications will provide totally new ways to monitor, heal, treat and care for people. [+]

Master's Degrees in IT. Sensor System Engineering: www.hanzegroningen.eu/msse Passionate about technology and engineering? ​​ Are you open minded, do you like to stretch boundaries to find out what is out there? Can you apply yourself, developing new ways to move the technology ahead, specifically in the health domain? Then take a moment to consider the opportunity to join us for one year to complete the Sensor System Engineering (SSE) honours master's programme.​​​ Programme overview General knowledge about sensor applications needed for any type of specialisation Specialised knowledge involving sensors in the health domain Honours content Master's thesis project (30 ECTS) General knowledge about sensor applications needed for any type of specialisation Linear algebra (4 ECTS): mathematics required for the next modules. Advanced data analysis (4 ECTS): integrating data coming from multiple complex sensors and to interpret this data correctly Modelling & simulation (4 ECTS): theory and tools required to model complex systems and to analyse and represent simulated data. Data centric architectures (4 ECTS): the architectural design of sensor systems at the level of of system architectures for big data applications and at the level of digital signal processing (DSP). Specialised knowledge involving sensors in the health domain Products and services in Health (4 ECTS): using real cases to learn the full design process of a health related sensor system. Sensor applications in Health (3 ECTS): exploration of sensor applications in biology, technology, diagnostics and application in health environments like hospital and home care. Honours content Professional skills (3 ECTS): learning to excel in the professional fi eld by developing essential professional, non-technical skills. Research & ethics (5 ECTS): learning necessary research skills as well as the ability to reflect on ethical issues. Community contribution (1 ECTS): forming a network for the students to help them solve particular problems in a multidisciplinary setting. Master's thesis project (30 ECTS) A six month research project in the domain of sensor technology and health in industry, a research institute or university department, resulting in a master's thesis. [-]

Master of Information Technology

University of South Australia
Campus Full time January 2017 Australia Adelaide

Organisations are increasingly reliant on digital capabilities. Those that capitalise on IT trends such as virtualisation, cloud computing and data analytics are able to maximise business value by streamlining operations, innovating and transforming business models and relationships... [+]

Business Information Systems Enterprise Management Organisations are increasingly reliant on digital capabilities. Those that capitalise on IT trends such as virtualisation, cloud computing and data analytics are able to maximise business value by streamlining operations, innovating and transforming business models and relationships. This program prepares the next generation of IT managers to keep pace with IT developments, while supporting day-to-day operational management. Effective enterprise management enables businesses to navigate through this ever changing environment, positioning them well to take advantage of potential opportunities by aligning IT with core business processes and practices. [-]

Master's Programme in Molecular Techniques in Life Science

Karolinska Institutet
Campus Full time August 2017 Sweden Stockholm

The programme is a unique collaboration between Karolinska Institutet, KTH Royal Institute of Technology and Stockholm University, in the environment of Science for Life Laboratory, Stockholm. [+]

Master's Degrees in IT. The programme is a unique collaboration between Karolinska Institutet, KTH Royal Institute of Technology and Stockholm University, in the environment of Science for Life Laboratory, Stockholm. The students will receive a comprehensive education in life science emphasising cutting-edge methods in bioinformatic analysis of big data, combined with state-of-the-art techniques used in modern "high throughput" molecular biology and how to translate biological findings into diagnostic tools and novel treatments. Programme presentation This two-year Master’s programme is delivered by a team of teachers who are internationally recognised researchers in their respective disciplines to ensure a relevant curriculum at the research forefront. The programme consists of courses aiming to give a solid education in a combination of molecular biology, biotechnology and medicine with a focus on high-throughput biology and analysis of big data for translation of biological findings from lab bench to patient bedside. The education also aims to develop skills and abilities essential to the professional career –including oral and written presentation, team working skills, and how to make ethical and societal considerations about life science related issues, all of which important for the ability to lead projects in academy and industry. Courses - Master’s programme in Molecular Techniques in Life Science *might be subject to changes Year 1 The first year contains advanced level courses in genetics, biophysical chemistry, and translational medicine, as well as the foundations of bioinformatics and comparative genomics. There is also a project course. All three universities offer courses during the first year, with an emphasis on Karolinska Institute (fall semester) and Stockholm University (spring semester). Mandatory courses fall semester Frontiers in life science 1 Frontiers in translational medicine Applied communication Genetics Mandatory courses spring semester Frontiers in life science 2 Bioinformatics Project in molecular life science Comparative genomics Biophysical chemistry Year 2 The second year offers courses in applied gene technology, proteomics, drug design, and bioinformatics analysis of large-scale data. There is also a project course. Most courses during the fall semester are offered by KTH Royal Institute of Technology. During the spring semester, the individual degree project is performed. Mandatory courses fall semester Frontiers in life science 3 Project in molecular life science Proteomics Drug development Applied gene technology Analysis of data from high-throughput molecular biology experiments Mandatory courses spring semester Degree project The application process for the programme will be handled by the Royal Insititute of technology (KTH) in collaboration with Stockholms universitet (SU) and Karolinska Institutet (KI). Career opportunities The combination of molecular biology, biotechnology and medicine provides an excellent profile for a professional research career in an academic setting or in the biotechnological and pharmaceutical industry. The life science industries and academic institutions working in these areas are active and the life science sector is expanding worldwide, which gives students an excellent job market and wide range of possible employments. Application and tuition fees If you have citizenship within the EU/EEA, or Switzerland, you are not required to pay application or tuition fees. Application fee 900 SEK Tuition fee Total amount: 400 000 SEK First instalment: 100 000 SEK [-]

Master Control Systems Engineering

HAN University of Applied Sciences
Campus Full time Part time 16 - 18  September 2017 Netherlands Arnhem + 1 more

HAN's Masters course in Control Systems Engineering provides you with cutting-edge knowledge and techniques that can be directly used in an industrial [+]

Applying knowledge to the industrial environment HAN's Masters course in Control Systems Engineering provides you with cutting-edge knowledge and techniques that can be directly used in an industrial environment. Complex processes require advanced control systems. This Masters course focuses on advanced regulating systems used in industry, such as optimal and model predictive control devices and multi-variable non-linear control devices. You also learn about the latest methods of statistical analysis. Upon graduation you will be ready for a specialised career in systems engineering. Cooperation with companies and other universities Associated large industries and specialised companies all acknowledge the constant need for control systems engineers with a Masters qualification. This is reflected in the support given by companies like DNV GL (KEMA), Shell, IPCOS, OMRON, SKF and Tatasteel, who share their knowledge by providing trainers and facilitate many of our major projects and excursions. HAN also cooperates with other institutes and universities, such as Delft University of Technology, Wageningen University, Eindhoven University of Technology and Artemis/Edulab. As a result, teaching and laboratory facilities can be shared and students can benefit from guest lecturers. This also enables the level and content of the course to be continuously monitored. The course is recognised and supported by the Royal Institute of Engineers in the Netherlands. International focus This course is unique in the Netherlands in that it focuses on the translation of skills and knowledge taught at university to the real world. Many of our graduation projects are carried out in association with multinational companies and the course itself has a truly international focus with students from all over the world. Master of Engineering in Control Systems Students completing the course with a graduation project (thesis) will be awarded the title Master of Science which is acknowledged worldwide. Completion of the course curriculum (without thesis) will entitle you to a postgraduate certificate. Full-time or part-time course taught in English The Masters course in Control Systems Engineering is taught entirely in English. You can combine your work and studies by choosing the part-time option. If you opt for studying full-time in the Netherlands, we will help you find a work placement position. Entry Requirements Applicants for this course need a Bachelors degree in Engineering or a related technical discipline, with a GPA of 2.8 or higher based on a 4.0 scale. Sufficient level of English As well as having a Bachelors degree, you will also need to be proficient in English. You will need one of the following: - TOEFL score of 550 or more - IELTS score of 6.0 or more - Cambridge Certificate in Advanced English - Cambridge Certificate of Proficiency in English Mathematics If you have doubts about whether you possess the required level of mathematics, you can work on some extra mathematics modules at home before the course starts. Exemptions If you can demonstrate that you have already covered certain units in the curriculum, you may receive exemption from some of the taught components of the course. All candidates with sufficient academic or field experience may indicate this in their application. [-]

2-year Master in Management in Virtual Environments

Kozminski University
Campus Full time October 2017 Poland Warsaw

In September 2014, Kozminski University launches unique, graduate two-year program in management studies - Management in Virtual Environments. The studies will be offered free of charge to 20 highly selected candidates. [+]

Master's Degrees in IT. In September 2014, Kozminski University launches unique, graduate two-year program in management studies - Management in Virtual Environments. The studies will be offered free of charge to 20 highly selected candidates. The program is aimed at preparing “digitally native” students for the role of managers and specialists ready to take advantage of Internet and network technologies in creating competitive advantage of an enterprise. The greatest value of the program is to provide the students with the mix of the top quality managerial courses with the specialized courses linked with internet and technology influence on contemporary management. CAREER DEVELOPMENT Graduates of the new program in management can develop their career in: - “Brick and mortar” companies, which consider Internet as a new environment to operate in, - “Bricks and clicks” companies, which want to take advantage of new possibilities given by the Internet environment, - “Pure clicks” companies, which want to strengthen their position on virtual market, Consulting companies, interactive agencies, social media agencies, etc. which provide Internet services for other companies, Establishing their own e-business. KNOWLEDGE, SKILLS, COMPETENCES After completion of the program, graduates will among others know how to effectively: - Manage organizations in contemporary business landscape, - Take advantage of business models available in the cyberspace, - Use the Internet and social media in management and marketing activities, - Manage the virtual cooperation and organization changes determined by the Internet, - Synergistically combine on-line and off-line business activities, - Take advantage of the virtual communities’ potential, exemplified by crowdsourcing, - Use in business practice such phenomena as: collaboration, business networking, digitization and virtualization, Operate in legal, financial and ethical e-environment, - Cooperate with e-customers – prosumers. ADMISSION DEADLINE: EU citizens 15 September, non-EU citizens 1 August. [-]

M.Sc. Computer Science – Data Analytics

National University of Ireland Galway College of Engineering & Informatics
Campus Full time September 2017 Ireland Galway

Globally, there is a reported shortage of data analytics talent, particularly of individuals with the required deep [+]

Big Challenges being addressed by this programme – motivation Globally, there is a reported shortage of data analytics talent, particularly of individuals with the required deep technical and analytical skills. (1) Accenture, Gartner and McKinsey have all identified Data Analytics as one of the fastest growing employment areas in computing and one most likely to make an impact in the future. The Irish Government’s policy is for Ireland to become a leading country in Europe for big data and analytics, which would result in 21,000 potential new employment opportunities in Ireland alone. (1) CNN has listed jobs in this area in their Top 10 best new jobs in America. 1) “Assessing the Demand for Big Data and Analytics Skills”, 2013-2020. Forfás Expert Group on Future Skills Needs, 2014. Programme objectives & purpose This is an advanced programme that provides Computing graduates with advanced knowledge and skills in the emerging growth area of Data Analytics. It includes advanced topics such as large-scale data analytics, information retrieval, data mining, natural language processing, and web data analytics. It also includes foundational modules in topics such as statistics and programming for data analytics. Students on the programme further deepen their knowledge of Data Analytics by working on a project either in conjunction with a research group or with an industry partner. Graduates will be excellently qualified to go into academic research or to pursue careers in industry in a wide range of areas. Opportunities include: - PhD-level research in NUI Galway, elsewhere in Ireland, or abroad - Multinational enterprises, in Galway and elsewhere, that provide services and solutions for analytics and big data; - Multinational enterprises whose businesses depend on analytics and big data technologies; - Innovative indigenous companies and leading-edge start-ups whose provide analytics solutions and products. What’s special about CoEI/National University Ireland Galway in this area: The MSc in Computer Science (Data Analytics) is being delivered by the Information Technology Discipline, in collaboration with the Insight Research Centre and with input from the School of Mathematics, Statistics and Applied Mathematics in NUI Galway - The Information Technology Discipline is NUI Galway’s Computer Science academic discipline, with a 25-year track record of education, research, and industry collaboration - The Insight research centre in NUI Galway is Europe’s largest research centre for Data Analytics - This programme opens the door for graduates for opportunities in PhD level research, careers in industry, or starting new ventures. Programme Structure 90 ECTS programme One full year in duration, beginning September and finishing August Comprises: - Foundational taught modules (20 ECTS) - Advanced taught modules (40 ECTS) - Research/Industry Project (30 ECTS). Programme Content Sample Modules - Statistics - Probability - Advanced Biomaterials - Linear Algebra - Digital Signal Processing - Programming for Data Analytics - Research Project Fundamentals - Open & Linked Data - Information Retrieval - Machine Learning & Data Mining - Learning for Information Retrieval - Tools & Techniques for Large Scale Data Analytics - Data Mining on the Web - Systems Modelling and Simulation - Case Studies in Data Analytics - Embedded Signal Analysis and Processing - Natural Language Processing - Data Visualisation Opportunity for number of Industrial & Research internships: Students enrolled on this programme will have an opportunity to apply for a one-year post-graduation internship in either a related industry or research group in Ireland. Scholarships   A number of scholarships are being made available by the College of Engineering and Informatics to non-EU students registered on these MSc programmes. Each scholarship will be valued at €2,500 and will be awarded to successful candidates based on the submission of a personal statement and CV to the College.    A number of industry sponsored Scholarships will also be available, each to the value of €2,500. Entry Requirements The M.Sc. is suitable for high-performing graduates of Computer Science and closely related degree programmes. Entry to the programme is open to individuals who have at least Second class honours, grade one in a Level 8 degree such as a B.Sc. in Computer Science or a BE in Computer Engineering, or another degree programme that is similar in content to the relevant undergraduate degrees offered by NUI Galway and is from a recognised university or third level college. How to apply Applications are made online via the Postgraduate Applications Centre (PAC). The PAC code for this program is GYE06. [-]

Master in Information Systems

University of Liechtenstein
Campus Full time 4 - 10  Liechtenstein

Do you want to pursue a career at the interface between business and IT? Do you want to engineer excellent business processes? Do you want to create IT-enabled innovations? [+]

Master's Degrees in IT. Do you want to: pursue a career at the interface between IT and business? develop and implement digital strategies and innovations? become a business process expert? become a data scientist? Join the Master’s degree programme in Information Systems with majors in Business Process Management and Data Science at the University of Liechtenstein! The Master’s programme in Information Systems is a unique programme that gets you ready for the digital world: majors in Business Process Management and Data Science strong focus on digital innovation highly relevant IT-related and business-related topics strong integration of theory and practice attractive tuition fees preparation for PhD programme programme entirely taught in English excellent student-faculty ratio After gaining their Master of Science in Information Systems (MSc IS) our students have excellent career opportunities. Typically, they start working for international IT & management consultancies or industry and service companies (e.g., in financial services, telecommunications, logistics, manufacturing, or public administration). Admission requirements The following minimum prerequisites must be fulfilled prior to admission: - Completion of a relevant Bachelor’s degree (or equivalent) in Information Systems, Business Administration, Economics, Computer Science as well as both Natural or Engineering Sciences with at least 180 ECTS credits. - Performance above average in your former study programme. Applicants are evaluated based on their individual profile. - English language proficiency on level B2, provided that English is not the native language. - Basic knowledge in research methods. Application deadline - EU/EEA and Swiss citizens: June, 30th - Other citizens: March, 31st Intakes for the summer semester are possible (course start in February) - EU/EEA and Swiss citizens: November, 30th - Other citizens: September, 30th Tuition fees CHF 850.- per semester Study and career Study and career are compatible. Depending on your workload the study duration can be extended. Student Research Fellowship - Your Funding Opportunity The Hilti Chair of Business Process Management offers highly motivated full-time degree and Erasmus students the opportunity to get involved in the department's research activities alongside their studies. In order to be accepted onto this unique research scheme, students must have demonstrated outstanding academic performance during their previous studies. The selection process is highly competitive with only a few places available each academic year. Early applications are recommended. Further information: www.uni.li/student-research-fellowship [-]

Master in Artificial Intelligence and Distributed Computing

Universitatea De Vest Din Timisoara
Campus Full time September 2017 Romania Timisoara

The Faculty of Mathematics and Computer Science offers study programmes in mathematics and informatics for around 1200 students. The Department of Computer Science offers BSc study programmes in Informatics (in Romanian and in English) and Applied Informatics (in Romanian), MSc study programmes in Artificial Intelligence and Distributed Computing (in Romanian and in English), Software Engineering (in Romanian) and Applied Informatics in Science, Technology and Economics (in Romanian), PhD programmes in Cloud Computing, High Performance Computing, Artificial Intelligence, Automated Reasoning and Theoretical Computer Science which are also the main research directions of the department members. [+]

The Faculty of Mathematics and Computer Science offers study programmes in mathematics and informatics for around 1200 students. The Department of Computer Science offers BSc study programmes in Informatics (in Romanian and in English) and Applied Informatics (in Romanian), MSc study programmes in Artificial Intelligence and Distributed Computing (in Romanian and in English), Software Engineering (in Romanian) and Applied Informatics in Science, Technology and Economics (in Romanian), PhD programmes in Cloud Computing, High Performance Computing, Artificial Intelligence, Automated Reasoning and Theoretical Computer Science which are also the main research directions of the department members (for details see http://research.info.uvt.ro). The Artificial Intelligence and Distributed Computing Masters Programme taught in English aims to offer competences in designing intelligent systems with application in various scientific and technical fields and in using the most recent technologies in high performance computing and distributed computing. It is a two years programme organized in three semesters devoted to teaching and a fourth one focused on research activities and the MSc thesis preparation. The students have the opportunity to use the infrastructure of the High Performance Computing Lab (http://hpc.uvt.ro), participate to international research projects and to industrial projects conducted in collaboration with IT companies. Main course titles Distributed Systems Parallel Computing Systolic Algorithms Workflow Technologies Multi-agent systems Operational Research and Optimization Data Mining Term rewriting Metaheuristic Algorithms Advanced Logical and Functional Programming Distributed Methods and Technologies based on XML Automated Theorem Proving Data Structures and Algorithms in Parallel Computing Potential labour market positions following graduation The graduates can target positions in IT industry as distributed systems engineer, high performance computing software engineer, cloud platform developer, data scientist/engineer, machine learning engineer, analytics engineer. They can also choose a PhD path oriented toward cloud computing and/or machine learning, fields which are currently in high demand of specialists. The students interested in research can be involved in the projects conducted at the e-Austria Research Institute (http://www.ieat.ro) The HPC lab from the West University of Timisoara includes one of the most performant computing infrastructure in Romania. [-]

Master in Computer Science & Information Engineering

National Central University
Campus Full time September 2017 Taiwan Taoyuan

Founded in 1981, the Department of Computer Science and information Engineering at National Central University initially offered a graduate degree only. After offering doctoral degree in 1988 and the undergraduate degree in 1992, the department quickly evolves and sets up a complete curriculum for computer science education and research. [+]

Master's Degrees in IT. Founded in 1981, the Department of Computer Science and information Engineering at National Central University initially offered a graduate degree only. After offering doctoral degree in 1988 and the undergraduate degree in 1992, the department quickly evolves and sets up a complete curriculum for computer science education and research. The department admits around 100 undergraduates, 100 students to the master program, 30 students to the part-time master program, and 25 students to the doctoral program each year. Our department has one of the most stringent academic programs in Taiwan. 
While placing emphasis on the core knowledge enabling students to apply their skills to many computer science and engineering disciplines, our program requires students participating in practical projects and provides numerous hands-on opportunities in collaborations with industry and government labs. We offer cross-disciplinary research opportunities that encourage innovation and collaboration across multiple disciplines, helping students become well-prepared engineers and researchers. Fundamental Courses & Professional Courses Network Performance Analysis: Queuing Theory Techniques and Algorithms for WWW (Information Systems) Wireless Multimedia System Advanced Data Structures Artificial Intelligence Advanced Algorithms for Distributed Computing Interactive Computer Graphics in Game Designs Information Retrieval and Extraction Intelligent Surveillance Machine Learning Computational Geometry Interactive Technologies for Rehabilitation Requirements for Graduation Required credits : 24 credits Duration of Study : 1~4 years Other requirements : Seminars for 2 semesters. Special Topics in Computer Science for 4 semesters Research Facilities & Lab Artificial Intelligence and Pattern Recognition Lab Computational Intelligence and Human Computer Interaction Lab Distributed System Lab Image Processing and Virtual Reality Lab Mobile and Broadband Networks Lab Software Engineering Lab Admission Documents Autobiography Research Proposal Two Letters of Recommendation TOEFL or Other Evidence of English Proficiency Evidence of Chinese Proficiency Related Academic Publications [-]

International Master in Project Management & Data Science

HTW Berlin University Of Applied Sciences
Campus Full time October 2017 Germany Berlin

In the world's corporate environment it is highly important to be familiar with the international context and have a better understanding of it. The Master’s degree programme in Project Management and Data Science at HTW Berlin will help you to successfully manage and supervise projects in the international environment as well as facilitate, process and interpret extensive datasets and carry out analyses across different disciplines. [+]

Innovation and Diversity HTW Berlin, the largest University of Applied Sciences in Berlin, is defined by its future-oriented range of programmes and courses, consistently covering areas of current interest as well as those with longer term appeal. Increasing quantities of data are being generated across numerous industries and service provision areas and the international Project Management & Data Science Master’s Programme was developed in order to tackle the shortage of qualified staff in this area. Data related to customers, markets and competitors is extremely important in today’s commercial landscape. Sensitive and responsible handling of data is an important success factor for all manner of companies. “Big Data” – the intelligent management of large and simultaneously heterogeneous data – is one of the biggest commercial challenges of our times. The processing and analysis of this volume of data also generates extremely far-reaching findings. In the fight against cancer, for instance, Molecular Medicine uses vast quantities of data to develop individual treatments and therapies. Many firms have identified the lack in project handling and business analytics skills. They invest billions of dollars in training for employees in the areas of Project Management and Data Analytics. With quintillion bytes of data being generated every day, qualified managers are required who can appropriately assess this data and use it for managing projects in an industry and company-specific way. The combination of Project Management and Data Science studies therefore represents a comprehensive and in-demand academic qualification. It opens up a diverse range of commercial, creative and organizational opportunities and career paths. Graduates of the Master’s Programme Project Management and Data Science will possess a broad range of techniques and methodologies which are of huge interest to businesses today. Their extensive knowledge will equip them with the skills to increase efficiency and reduce costs in complex business processes. The Master of Science qualification offers graduates a wide range of potential areas of application as well as opportunities for career advancement. International context In the world's corporate environment it is highly important to be familiar with the international context and have a better understanding of it. The Master’s degree programme in Project Management and Data Science at HTW Berlin will help you to successfully manage and supervise projects in the international environment as well as facilitate, process and interpret extensive datasets and carry out analyses across different disciplines. Ideally prepared for a successful career This specialisation is based on our survey of major German industrial companies, which revealed a strong demand for internationally oriented project management specialists and data scientists. During this program you will acquire international skills by working together with students of different nationalities and background. Since the programme is taught entirely in English, you will also be ideally prepared for the international labour market. Language skills in German are not necessary. International and practice-oriented During your studies you will acquire knowledge of business administration with an international basis. The curriculum focuses on different areas of project and Information Management, various Data Analysis techniques as well as HR and Marketing. Deep knowledge of statistics is not required. Excellent Career Prospects Project Management & Data Science M.Sc. The rapid increase in data generation is resulting in a huge demand for Big Data specialists – specialists who possess the skills to efficiently and effectively organize the growing volume of information. In today’s workforce, there is already a lack of several hundred thousand managers qualified to tackle complex and interrelated managerial tasks. Standard period of study 4 semesters / incl. last semester thesis / 2 years: Master of Science (M.Sc.) First semester: International Project Management I, Foundations of Data Analytics and Statistical Programming, Contract and International Business Law, elective: Group Facilitation, Technology Management in Practice or Negotiation Techniques Second semester: International Project Management II, Advanced Computational Data Analytics, Change Management and Leadership, Financial Reporting and Management Information Systems Third semester: Project Management and Data Analytics Lab, Advanced Data Mining Techniques, Databases and Big Data, Practical Data Governance, Data Security and Regulatory Compliance, elective: Group Facilitation, Technology Management in Practice or Negotiation Techniques Fourth semester: Thesis and oral exam All modules are planned and structured in an extremely practice‐oriented manner. Cooperations with world leading companies are included. The modules involve working through specific questions during case‐studies and project simulations. Human resource, soft skills, intercultural topics and trainings, in particular, are covered. Other programmes at the HTW See also our international Industrial Engineering programme, Master of Business Administration & Engineering here. [-]

Master in Wireless Industrial Automation

University of Vaasa
Campus Full time August 2017 Finland Vaasa

Are you interested in wireless communication? Do you want to learn how to understand smart systems? Do you have a Bachelor’s degree in telecommunication, computer science, production automation, energy or electrical engineering? The Master’s Programme in Wireless Industrial Automation offers a carefully designed education programme to integrate advanced wireless communication with monitoring, control, and automation in industrial applications. [+]

Master's Degrees in IT. Are you interested in wireless communication? Do you want to learn how to understand smart systems? Do you have a Bachelor’s degree in telecommunication, computer science, production automation, energy or electrical engineering? The Master’s Programme in Wireless Industrial Automation offers a carefully designed education programme to integrate advanced wireless communication with monitoring, control, and automation in industrial applications. The aim of the programme is to educated qualified Masters of Science with a specialization in distributed energy production information systems. Wireless communication is the backbone of connecting people as well as machines and devices toward the era of the Internet of Things (IoT). By 2020, it is expected that about 70% of the total IP traffic will be handled in the last mile (i.e., the end-part of the telecommunication) by wireless networks. Hence, wireless communication is an essential part of other distributed systems such as smart cities, wireless automation, smart grids, e-health systems, e-government, security, and countless other applications. Therefore, the major mission of our programme is to provide the required scientific and technical information to our students to be able to understand, analyze, and deal with such advanced systems. The programme addresses the areas of telecommunication architecture evolution, digital communication and radio technology, modern wireless networks, systems engineering, embedded systems, and programming skills. Besides the courses, several seminars are organized to address more advanced topics related to for example smart automation, game theory, and energy informatics. Our two-year programme leads to a degree of Master of Science in Technology. We prepare our students for the future job market requirements in the technology sector as well as research institutions. [-]

3rd Cycle Information Systems Manager - Taught in FRENCH

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

This program is taught in FRENCH. [+]

This program is taught in FRENCH. Read the official French description and apply here: 3ème cycle Manager des Systèmes d’Information [-]

Master of Information Technology

Macquarie University
Campus Full time January 2017 Australia North Ryde

The Master of Information Technology program provides the opportunity to strengthen your understanding of underlying principles by applying them to... [+]

Master of Information Technology

The Master of Information Technology is designed for students who are established IT professionals and want to hone their skills in a particular area, build on the knowledge gained in their undergraduate degree, or to simply give themselves the edge in career advancement.The Master of Information Technology program provides the opportunity to strengthen your understanding of underlying principles by applying them to practical, industry focused problems. Knowledge and skills gained in the coursework units is consolidated in a project unit in a leading edge topic.

Key features

Study units have been developed in partnership and consultation with industry Professionally accredited by the Australian Computer Society (ACS) Gives you the opportunity to undertake a major project, providing you with practical, often industry-based experience Specialisations are available in Information Systems, Management, Security and Network Management, and Web Engineering Offers students who successfully complete the Master of Information Technology with a minimum GPA of 3.50, the chance to proceed to the Master of Information Technology Consulting (subject to an interview) ... [-]