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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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. [+]

Master's Degrees in IT. 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. [+]

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... [+]

Master's Degrees in IT. 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 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. [+]

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. [-]

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 [+]

Master's Degrees in IT. 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. [-]

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. [-]

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 [+]

Master's Degrees in IT. 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 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 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) ... [-]

Master Programme (one year) in Informatics

University of Borås
Campus Full time August 2017 Sweden Borås

Second level education shall essentially build on the knowledge that students acquire in first level education or corresponding knowledge. Second level education shall involve a deepening of knowledge, skills and abilities relative to first level education and, in addition to what applies to first level education, shall further develop the students' ability to independently integrate and use knowledge, develop the students' ability to deal with complex phenomena, issues and situations, and develop the students' potential for professional activities that demand considerable independence or for research and development work. [+]

Master Programme in Informatics  

The overall goal of the Master's program in Informatics is that students will develop advanced skills and knowledge in the subject of informatics. After completion of the program, the student will show Knowledge and understanding

knowledge and understanding in their major field of study, including both an overview of the field and deeper knowledge of certain parts of the field and insight into current research and development, deepened knowledge of methods applicable in informatics,

Skills and abilities

ability to integrate knowledge and to analyze, assess and deal with complex phenomena, issues and situations, even with limited information, ability to independently identify and formulate issues and to plan and to carry them out within specified time frames, ability to verbally and in writing, to present and discuss their conclusions and the knowledge and arguments behind them, in dialogue with different groups, the skill required to participate in research and development work or to work in other advanced contexts. Entry Requirements Bachelor’s degree, 180 credits, in Informatics (or equivalent). Verified knowledge of English corresponding to the course English B/6 in the Swedish Upper Secondary School. For further information about English language proficiency, please view: http:www.hb.se/en/International-student/Bachelor--Master-student/Application--Admission/Admission-process/English-language-proficiency/ Examination Completed program leads to a Degree of Master of Science (60 credits) with a major in Informatics. Further information Teaching is normally in English. The course literature is in English. The training is mainly organized on campus, with elements of some courses that support flexible learning. The program provides national and international co-operation with relevant courses from other institutions for higher education after individual agreement / assessment on the student's request. [-]

Master in Applied Informatics

University of Hradec Králové, Faculty of Informatics and Management
Campus Full time September 2017 Czech Republic Hradec Králové

The Master’s degree programme in Applied Informatics is a follow-up two-year study programme to the Bachelor studies in Applied Informatics or some other close fields of studies. It combines subjects from the core fields of Computing and related areas, Information Systems and Software Engineering, Image Processing as well as Communication Technologies. [+]

Master's Degrees in IT. Master in Applied Informatics The Master’s degree programme in Applied Informatics is a follow-up two-year study programme to the Bachelor studies in Applied Informatics or some other close fields of studies. It combines subjects from the core fields of Computing and related areas, Information Systems and Software Engineering, Image Processing as well as Communication Technologies. Necessary skills in the field of designing and building secure information systems, information and knowledge technologies, as well as methods of collecting, structuring and evaluating large quantities of data will be developed. The options of some background in the associate disciplines of managerial psychology and economics are offered as optional courses for students as well. The duration of the programme: 2 years Master’s degree applicants are required to have 2 semesters of mathematics in the previous Bachelor’s degree education. The tuition fee for one academic year: 3000 EUR. The deadline for submitting application forms is 31st March. [-]

Master in Digital Business Innovation and Transformation

IMC University of Applied Sciences Krems
Campus Part time September 2017 Austria Krems

Information technology innovations are driving forward the digital transformation at lightning speed – the internet of things, big data, the cloud, social media and mobile working are having an impact on the strategy, structure, culture and processes of all companies. [+]

Master in Digital Business Innovation and Transformation Introduction Information technology innovations are driving forward the digital transformation at lightning speed – the internet of things, big data, the cloud, social media and mobile working are having an impact on the strategy, structure, culture and processes of all companies. In view of these fundamental changes, companies need to start preparing to meet these new demands in good time, and to capitalise on the digital transformation as an opportunity to respond to structural challenges with intelligent concepts; businesses should also use digitalisation and networking as a means to develop further. That's where our study programme comes in: The part-time Master programme prepares you for the role as a digital change agent. It is held in English and focuses on the economic skills necessary to develop digital strategies for organisations. Key skills The degree programme is designed to help students develop specific transformational capabilities that enable them to manage and support digitalisation processes in various corporate environments. Graduates will act as change agents in corporate digital transformations. The skills students acquire as experts in business process innovation are based on a combination of business administration expertise with IT know-how as well as key competences including communication, cooperation, problem-solving and development capabilities, data mining and design thinking skills. After completing the degree programme, graduates are able to understand the specific requirements placed on digital business models as well as the criteria for their success in a full range of core business administration activities and in all phases of the value creation process. This means graduates are in a position to plan, manage and comprehensively drive forward the digitalisation of production, service and sales processes. *subject to the accreditation of AQ Austria Programme details The Digital Business Innovation and Transformation part-time master programme lasts four semesters and is taught entirely in English. Objectives of the degree programme The programme is designed to give students a broad-based, non-industry-specific education covering digital transformation, digital business innovation and business administration. It provides graduates with the skills required to assume operational and strategic management responsibilities in a forward-looking company. By completing an English-language degree programme, graduates build on their existing language proficiency to acquire additional language skills and the requisite specialist vocabulary that allows them to work in an international environment. The degree programme also gives students the know-how required to identify digital trends at an early stage and successfully transform existing processes. Graduates are fully equipped to initiate a shift from analogue to digital organisational structures and to drive forward and implement the integration of digital technologies. Degree programme structure The programme lasts for four semesters including final examinations. Students select the topic for their master thesis at the end of the second semester. Core elements of the degree programme Interdisciplinary qualifications Business administration (e.g. strategy and organisational design, change and transformation management, innovation controlling, human development and communication) Digital transformation (e.g. data management and data analysis, digital trends, human-computer interaction) Research and master’s thesis (research seminar, preparation for master thesis) Entry requirements Students who have obtained a bachelor or postgraduate degree/Austrian Diplomstudium in a relevant business or technical discipline (or a combination of business and technical disciplines), or provide proof that they have completed a degree with a workload of at least 180 ECTS credits in one of the aforementioned disciplines at a recognised institute of higher education in Austria or abroad, are judged to have fulfilled the academic entry requirements for the English-language Digital Business Innovation and Transformation master degree programme. The Rectorate is responsible for assessing compliance with the entry requirements on a case-by-case basis. Further requirements Proof of English language skills Students whose previous academic qualifications were taught entirely in English are exempted from submitting a certificate. Students whose native language is not English must provide proof of their English skills by submitting one of the following certificates or one of the specified types of confirmation: IELTS Academic Training - minimum score: 7.0 Cambridge English: Advanced (CAE) – level C1 TOEFL - (IBT) - minimum score 95 Language certificates should be no more than two years old and can be submitted by the start of the degree. In this case you have to upload a copy of the confirmation of enrolment for one of the accepted language certificates. Further information For male applicants holding Austrian citizenship it is strongly recommended that they have completed their compulsory military or alternative service, or received a dispensation. Career prospects The non-industry-specific Digital Business Innovation and Transformation master programme aims to develop specialists who are able to initiate, manage and implement the digitalisation of business processes in public- and private-sector organisations, both in Austria and abroad. The career profile is geared towards employment in complex fields and equips graduates with the tools required to achieve success in a challenging, rapidly changing interdisciplinary and cross-cultural environment. Due to the diverse range of skills that they acquire during the programme, graduates are able to work in the following areas: Change management with a focus on digital technologies Project management Digital supply chain management and logistics Designing and integrating digital business models Business-oriented IT management Strategic management with a focus on digital business management E-commerce, and e-marketing in retail and various kinds of service company Applying digital technology in big data analysis, and optimising production lines by means of digital simulations of the entire production process Degree awarded In order to be awarded a Master of Arts in Business degree you must successfully complete the required examinations and submit a master thesis which demonstrates your ability to independently conduct a research project, in line with the latest academic and professional requirements. Graduates will be awarded the degree of Master of Arts in Business (M.A.) and 120 ECTS credits. As a graduate you are eligible to apply for doctoral degree programmes at universities in Austria and abroad. [-]

Master of Science in Health Informatics

The University of Findlay
Online & Campus Combined Full time Part time September 2017 USA Findlay + 1 more

The online master of science in health informatics program at The University of Findlay is based on the science behind electronic health records. [+]

Master of Science in Health Informatics

The online master of science in health informatics program at The University of Findlay is based on the science behind electronic health records. Health informatics is the field that defines how health information is technically captured, transmitted and utilized.Health informatics focuses on information systems, informatics principles and information technology as it is applied to the continuum of health care delivery. It is an integrated discipline with specialty areas that include:

    Management science     Management engineering principles     Health care delivery and public health     Patient safety     Information science     Computer technology At The University of Findlay, you can earn your master’s degree in just two years. No graduate record exam (GRE) required! Accepting applications until August 1 for the Fall class, so apply today! All courses are 100% online (no classes held on campus - no scheduled sessions at all)! Students access course content at their convenience. All courses are delivered in convenient eight-week blocks. ... [-]

Master's Programme in Governance of Digitalization

Åbo Akademi
Campus Full time August 2017 Finland Turku Vaasa + 1 more

Effective and efficient management of digital transformation is critical for the success of enterprises and organisations in the contemporary society. In this master's programme you learn howdigitalization enables new ways to create knowledge, to create value to the customer, new ways to configure organizational processes, and new ways to organize industry level co-operation between organizations. [+]

Degree awarded: Master of Science (Economics and Business Administration) Annual intake: 20 Contact: digi@abo.fi Website: http://www.abo.fi/fakultet/fse_digi Description Effective and efficient management of digital transformation is critical for the success of enterprises and organisations in the contemporary society. In this master's programme you learn howdigitalization enables new ways to create knowledge, to create value to the customer, new ways to configure organizational processes, and new ways to organize industry level co-operation between organizations. This two-year programme prepares its graduates for challenging careers in the field of digital transformation and focuses data analytics, digital services design, business models, digital information and knowledge management and IT governance. Admission requirements A completed university level Bachelor's degree with or in addition to the degree 20 ECTS in business and economics or information studies or other relevant studies. In the statement of purpose (motivation letter) the applicant should pay attention to his/her reasons for applying to this programme. Eligible applicants are assessed on the basis of their academic merits (transcript of records and the evaluation of the bachelor's thesis/other academic paper) and the motivation letter. The academic merits weight more in the assessment than the motivation letter. Applicants must always prove their knowledge of the English language: www.abo.fi/ansok/en/language How to apply? For more information on the application requirements and procedures, tuition fee and scholarships, please see http://www.abo.fi/ansok/master [-]

Master of IT in Business (MITB)

Singapore Management University
Campus or Online Full time Part time 1 - 2  Open Enrolment Singapore

The definitive Master of IT in Business (MITB) programme will give you an unparalleled edge with the knowledge of data, processes, technologies [+]

Master's Degrees in IT. The definitive Master of IT in Business (MITB) programme will give you an unparalleled edge with the knowledge of data, processes, technologies and management strategies. With two unique specialisation tracks to choose from, you will be poised to lead the industry in a time of transformation. Financial Services Track: Singapore's increasing stature as Asia's banking and financial hub demands a new breed of business IT professionals for a rapidly growing Financial Services sector. SMU MITB (FS) is an intensive programme designed to groom world-class professionals adept in process management, operations, technology solutions and innovation strategies. Its curriculum, with inputs from over 60 industry experts, provides in-depth knowledge of business methods and management concepts for the Technology and Operations group. MITB (FS) is aimed at T&O professionals wanting to enhance their knowledge to advance their career and for other professionals aspiring to embark on banking T&O careers. Analytics Track: In a competitive environment, marshalling Business Intelligence and Data Analytics on a real-time basis to make decisions, create value and develop a sustained competitive advantage is imperative. SMU MITB (AT) is Asia's first professional masters programme to meet this demand. Co-designed by leading global and regional sector firms from hospitality, tourism, supply chain, retail, healthcare, public sector and telecommunications, it promises a robust and systematic understanding across processes, operations, data, technology solutions and management supervision. It is aimed at professionals with a background in Computer Science, Information Systems, IT, Engineering or the Sciences. Analytics Track (Blended Learning): MITB Analytics Blended Learning aims to deliver a high quality program that is accessible to global audiences (focusing on Asia) which follows the existing MITB (Analytics) curriculum. The blended learning MITB program will make it possible for professionals who are unable to relocate to another country, to pursue a graduate education. Class sessions are a combination of face-to-face lectures and with online lectures with discussions, hands-on lab sessions, problem-solving practice classes and group work. Financial Services Analytics Track: Technology is pushing the envelope for financial institutions in many fronts – for example, customer data, risk measures, capacity, market expectations and operational efficiency. Institutions that leverage on analytics to gain insights into their customers, operations and market opportunities can position themselves for continuing success. Transforming data into actionable insights require analytics and people with knowledge in business domain and skills in using the tools. Analytics can be leveraged across all lines of business in a financial institution in areas which include but not limited to customer attrition, cross selling, value of a transaction can be unlocked using analytics. In addition, analytics help combat fraud more efficiently while protecting customers. Today, risk management needs to be revitalized; optimization is needed to drive profits. MITB (FA) spells agility in translating data into concrete actionable insights that drive growth in financial services industry Residential Programmes Part Time & Full Time Studies Full-time candidature 1 year to a maximum of 2 years and 8 months. Part-time candidature 2 years to a maximum of 4 years. The MITB programme runs its academic year on 3 regular terms. Each of these 15-week regular terms is then further divided into two 7-week mini-terms with a 1-week break. All classes are held either on weekday evenings from 7 pm onwards, Saturday morning, or Saturday afternoons. These timings have been chosen to accommodate the working schedules of our part-time students who are concurrently working and our full-time students who are engaged with industry attachments. Blended Learning Part Time Studies Part-time candidature minimum of 1 year & maximum of 3 years. Analytics (Blended Learning) programme will have a total of 4 blocks in the curriculum covering the 13 Course Units (CU’s). Teaching terms is divided into 4 blocks of 12 weeks each. Each block starts with residential period of up to 1 week followed by 10 weeks of online sessions. A term break of one week at the end of each block. The entire program takes 48 weeks inclusive of term breaks. Fees Application: S$100 Registration Singapore Citizens & Permanent Residents - S$400 Foreigners - S$500 Tuition*: S$ 45,000 Residential Programmes Academic Calendar The MITB programme runs its academic year based on that of the Singapore Management University, which operates on 3 regular terms. Each of these 15-week regular terms is then further divided into two 7-week mini-terms with a 1-week break. Time Table All classes are held either on weekday evenings from 7 pm onwards, Saturday morning, or Saturday afternoons. These timings have been chosen to accommodate the working schedules of our part-time students who are concurrently working and our full-time students who are engaged with industry attachments. Blended Learning Part Time Studies Academic Calendar Analytics (Blended Learning) programme will have a total of 4 blocks in the curriculum covering the 13 Course Units (CU’s). Each block will start with 3 face-to-face lessons of 3 hours each to cover the first 3 lessons. Face-to-face lessons will be recorded to help those who cannot attend these sessions. Class sessions will combine lectures with discussions, hands-on lab sessions, problem-solving practice classes, and group work. Exams will be held during face-to-face sessions in the following block though online proctored exams will also be available on a case to case basis.” Time Table During the 1st week of each block (residential studies – Monday to Saturday), classes starts at 9am to 12pm with a break from 12pm to 2pm, followed by another an afternoon class starting at 2pm to 5pm. During online sessions from week 2 to 11, classes are held on Friday nights from 9pm to 10.30pm and Saturday mornings from 10.30am to 12pm and afternoons from 12.30pm to 2pm. To read more, please click here. [-]