Masters Degree in IT in Europe

Find Masters Programs in IT in Europe 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.

There are more than four thousand higher education organizations in Europe, from leading research institutions to small, teaching-focused universities. Europe itself is not as much different than other continents, reaching from the Arctic Circle to the coast of Africa.

View all Master Programs in IT in Europe 2017

Read More

Master in Data Science

Bologna Business School
Campus Full time 12 months 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. [+]

Masters in IT in Europe 2017. 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 1 year 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 in Cyber Security

Harbour.Space
Campus Full time September 2017 Spain Barcelona

Programme Description The MS program is designed for those who want to extend their technical and programming skills to handling enterprise security challenges. Our comprehensive courses will provide a solid foundation in key technology including computer and network security, cryptography, enterprise security architecture analysis, etc. The graduates will learn to stay current on rapidly changing technology, adapt and control to new threats and start a successful career in enterprise security. [+]

Masters in IT in Europe 2017. Programme Description This program is taught in ENGLISH. The MS program is designed for those who want to extend their technical and programming skills to handling enterprise security challenges. Our comprehensive courses will provide a solid foundation in key technology including computer and network security, cryptography, enterprise security architecture analysis, etc. The graduates will learn to stay current on rapidly changing technology, adapt and control to new threats and start a successful career in enterprise security. PROGRAMME STRUCTURE Year 1 During the first year students quickly recap basics of computer science and then focus on fundamentals of cyber security including computer architecture, operating systems security, secure programming, networks, and cryptography. Modules Computer Architecture Secure Programming Algorithms and Data Structures Practical Unix Windows Administration Operating Systems Computer Networking Human Aspects of Cyber security: Law, Ethics and Privacy Cryptography Software Engineering & Design Scripting Languages Java Programming Identity and Access Management Technical Writing and Presenting Introduction to Interaction Design Leadership and Group Dynamics Secure Data management Capstone Project Seminars & Workshops Year 2 The second year exposes students to different dimensions of cyber security field. Subjects range from Mobile and Cloud Security to Digital Forensics and Quantum Communication and Cryptography. Additionally students participate in communication and leadership modules preparing them for the career as a successful member of a professional team. At the end of the program, graduates will be ready to take on responsibilities to safeguard an organization’s information and technology assets. Modules Technical Project Management Application Security Mobile Security Network Security Enterprise Security Architecture and Design Software Testing Reverse Software Engineering Vulnerability Analysis, Penetration Testing, Intrusion Detection and Incident Handling Ethical Hacking and Response Cyber Warfare Security Tools for Information Security Digital Forensics Quantum communication and cryptography Parallel and Distributed Computing Cloud Computing Advanced computer networks Distributed Databases Global Cyber Capabilities and Trends Enterprise Security Threats Enterprise Security Case Studies Economics of Security Cyber Risk Management Information Governance Cybersecurity Governance and Compliance Cybersecurity Law & Policy Captstone Project Seminars & Workshops Programme Leadership RICHARD BUCKLAND PhD,Chair of the Academic Board of the Australian Computer Society Education, Member of UNSW Academic Board LIVING IN BARCELONA Studying in Barcelona has the following advantages: Barcelona is #1 in Europe for quality of life and clearness of environment (2012 Quality of Life City Rankings – Mercer Survey) Barcelona is #1 in the world for the level of infrastructure and urban development (2011, Ernst & Young). The region of Catalonia, where Barcelona is the capital, contributes significantly to the Spanish GDP. The growth of Catalonia’s GDP is currently 3.3%, much higher than in Europe on average. Catalonia’s exports are €42.2 billion, higher than in any other region of Spain. 7,000+ innovation and technological companies during the last 10 years. Barcelona is 6th in Europe for attractiveness and comfort for doing business (European Attractiveness Survey 2011, Ernst & Young), Barcelona is 2nd in Europe (after London) for being promoted as a business center (European Cities Monitor 2011); Barcelona is 2nd in the world for hosting different international conferences and congresses (City and Country World Report 2011, ICCA ). Barcelona is the host of the annual World Mobile Congress, which attracts thousands of international companies that work in the mobile industry. 7,000,000 + millions of tourists / year 20° C - average temperature during the day 2437 hours of sunshine/ year Cost of living 550 euro / month [-]

Master’s in Project Management

EPITECH
Campus Full time September 2017 France Paris

This specialisation responds to a growing need to train managers who are able to plan and manage industrial, services-related or cultural projects. The development of project-based organisation in many public organisations and private companies indeed requires project team managers to have advanced skills. [+]

The Master in Project Management is a joint degree between EPITECH and the UNIVERSITY OF HAUTE-ALSACE (University of Upper-Alsace). International students will thus be able to obtain the Master’s in Management Sciences, a Project Management specialization of the University of Haute-Alsace. This specialisation responds to a growing need to train managers who are able to plan and manage industrial, services-related or cultural projects. The development of project-based organisation in many public organisations and private companies indeed requires project team managers to have advanced skills. This specialisation requires a teaching method focusing on learning by doing, through real-life projects. To this end, the UHA develops partnerships with businesses, regional CCIs and the Centre Européen d'Entreprise et d'Innovation Alsace (Alsace European Business and Innovation Centre) as part of their mission to help with the creation of new and innovative businesses. The idea is also to create a technology transfer tool in the field of Management based on specific areas of expertise. The aim is to build an innovative way of acquiring, exchanging and developing Management knowledge. Therefore this is a double specialisation. The challenge is to offer an architecture that allows for a diverse range of incoming (and therefore outgoing) student profiles, while certifying the Master’s level for the various targeted professional circles. Technology transfer is the expression of a diverse range of profiles on offer within a defined area of competency: Project Management. Expertise and skills In addition to general managerial skills, the following skills are acquired during the course: Mastery of assessment, planning and project management tools; Leadership, or the ability to motivate, involve and make people work together, and learn to make better use of their own skills Relational skills, because the project manager is the main point of contact for the internal functions but also customers, suppliers, and various partners Capacity for anticipation and decision-making in unpredictable or antagonistic situations Understanding of markets and technologies. Occupational integration Careers: Information Systems Project Manager; Industrial Project Manager; Research & Development Project Manager; Innovative Business Founder. There are career opportunities in the following industries: Industrial companies, large or medium-sized; Commercial enterprises that promote or wish to promote international expansion; Service companies (banks, consultancy firms, international trading companies, etc.); Local authorities, public and parastatal bodies. The course offers the skills needed by entrepreneurs, particularly in small or medium-sized companies. Considering that starting a company is a project in itself, it makes sense to combine this training with entrepreneurship training for students wishing to start their own business. Epitech-UHA Partnership Epitech and the University of Haute-Alsace (UHA) signed an agreement in autumn 2014, setting out their shared lines of action in the field of entrepreneurship. For Epitech, the partnership gives its students access to a Master’s in Project Management diploma course, a useful academic addition to Epitech’s training, which would take its place after the 4th year. This course is open to international students by written application. As well as the Graduate Diploma in Information Technlogy awarded by Epitech, international students will thus be able to obtain the Master’s in Management Sciences, a Project Management specialisation of the University of Haute-Alsace. Interaction with the Epitech curriculum In order to obtain the UHA Master’s, as well as the modules required to earn the Epitech Graduate Diploma in Information Technology, international students will have to pass the “Information Systems Management” major, which will be taught by UHA teachers. The UHA modules will be taught on the Epitech campus during the second year of study at Epitech. Terms and conditions of admission International students interested in this double course must express their interest in their first-year application to Epitech. Admission to the programme is based on selection by written application, which must be submitted to Epitech’s international office during the first year of study at Epitech. Only candidates who have completed a Bachelor’s in computer science in their country of origin, as well as the compulsory modules needed to validate the first year at Epitech, are eligible. The final decision to admit the student to the program will be made at the end of the first year of study at Epitech. About the UHA The University of Upper Alsace has around 8,000 students: 6,300 students in Mulhouse and 1,700 in Colmar. The university has a strong career focus because it has always known how to successfully build active partnerships with various socio-economic circles. This results in a large number of vocational courses, from DUT (technology degree) to doctorate, through engineering diplomas. It also enjoys strong support from local authorities. The characteristics of “proximity and openness” are therefore the two keywords of its identity. Innovative, multidisciplinary, and an important player in the construction of the regional higher education and research space, the UHA is a stakeholder in the excellence of Alsace. The University of Haute-Alsace is partner with the University of Strasbourg. Thanks to this partnership, all degrees delivered by UHA have a double mention (Unistra & UHA). [-]

Master Control Systems Engineering

HAN University of Applied Sciences
Campus Full time Part time 16 - 18 months 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 [+]

Masters in IT in Europe 2017. 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. [-]

Master in Wireless Industrial Automation

University of Vaasa
Campus Full time 2 years 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. [-]

International Master in Business Analytics & Big Data (BABD)

MIP Politecnico di Milano School of Management
Campus Full time 12 months September 2017 Italy Milan

Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM. [+]

Masters in IT in Europe 2017. In partnership with CEFRIEL Start date: September Format: Full Time Duration: 12 months Tuition fee: € 14,000 Language: English Location: Milan Admission Requirements: 3 or 4 year Bachelor's degree (minimum 180 ECTS) Business Analytics and Big Data is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM. With the Big Data revolution an ever-growing number of leading organizations and governments are launching big data initiatives to gain actionable insights, drive key decisions and improve performance across all business functions. Welcome to the International Master in Business Analytics and Big Data designed to train a new generation of data-savvy professionals able to manage complex business analytics problems across a variety of different industries and environments. This truly unique programme is jointly offered by MIP and CEFRIEL- Politecnico di Milano. Be prepared for the jobs of the future as Business Analyst and Big Data Manager. The Partners MIP Politecnico di Milano: a global business school accredited by EQUIS, AMBA, EFMD and ranked by the Financial Times amongst the best European business schools, further complemented by it's deeply rooted knowledge and reputation in the luxury value chain management. The quality of the competencies expressed are also supported by the strong links developed with the Faculty of Engineeirng and Design of Politecnico di Milano, which is the largest one in Europe. CEFRIEL – Politecnico di Milano is a not-for-profit center of excellence in the field of Digital Innovation, established by Politecnico di Milano in 1988. CEFRIEL shareholders include Universities, Public Administration, and leading multinational companies in ICT and Media sectors. Since its inception, CEFRIEL mission has been to strengthen existing ties between the academic and business worlds through a multidisciplinary approach that innovates products and services with ICT and Design. CEFRIEL competences span all areas of ICT expertise, from microelectronics to the most advanced user experience models, addressing both technological and project management issues. CEFRIEL is actually able to merge technical and design skills with business and process expertise, thus working side by side with companies to create innovative and one-of-a-kind solutions, and offering advanced educational programs to graduate students and innovation executive professionals. Moreover, the center actively participates in European research projects and contributes to the dissemination of their results. CEFRIEL offices are located in Italy and USA, Cincinnati (Ohio), so to address the growing innovation demands both of its national and international clients. IBM is a globally integrated technology and consulting company headquartered in Armonk, New York. With operations in more than 170 countries, IBM attracts and retains some of the world's most talented people to help solve problems and provide an edge for businesses, governments and non-profits. Innovation is at the core of IBM's strategy. The company develops and sells software and systems hardware and a broad range of infrastructure, cloud and consulting services. Today, IBM is focused on five growth initiatives - Cloud, Big Data and Analytics, Mobile, Social Business and Security. IBMers are working with customers around the world to apply the company's business consulting, technology and R&D expertise to enable systems of engagement that deliver dynamic insights for businesses and governments worldwide. WHO IS IT DESIGNED FOR? The programme is specifically conceived for graduates who wish to acquire and develop advanced quantitative skills to analyze data describing transactions, interactions or people's behavior, in order to extract relevant insights, optimize actions and drive innovation. Students backgrounds reflect the dual focus of the master, coming from computer science, economics, engineering, management, mathematics, science or statistics. While having different academic backgrounds, students all share a deep interest in analytics and big data technologies for creating business value. Relevant career positions revolve around the roles of data scientist, business analyst and big data manager, and might include among others: Data Users: Business folks in the end user corporate community able to exploit insights from data to make better decisions. Data Producers: Data analysts able to use the appropriate tools to convert analytical problems into analytical solutions. Data Interpreters: Professionals able to understand both users and producers establishing a successful communication among them. Modules The course is entirely taught in English and has a duration of 12 months starting in September. The programme is divided into seven major modules: General Management, Data management and Warehousing, Foundamentals of Statistics and Data Visualization, Predictive Analytics and Business Applications, Analytics for Management and Electives. The master will end with the Project Work to present. Admissions IDEAL CANDIDATES FOR THE PROGRAMME The International Master in Business Analytics and Big Data is specifically designed for young graduated talents that want to be prepared for the jobs of the future as Business Analyst and Big Data Manager. Students with 3 or 4-year Bachelor's degree (minimum 180 ECTS) in the areas of Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics from Accredited Institutions are eligible for the programme. APPLICATIONS FOR THE 2016 PROGRAMME Applications for the September 2016 intake are now closed. Applications for the September 2017 intake will open in September 2016. Non-EU students are encouraged to apply at least three months before the start of the programme in order to allow enough time for the Declaration of Value (DOV) procedure for Italy and establishment of the student visa. If you would like more information about the International Master in Business Analytics and Big Data, please download our programme brochure by clicking the link, or write to infomasters@mip.polimi.it and we will respond to your requests in a timely fashion. Visit the BABD Frequently Asked Questions page to find out more! [-]

MSc in Information Sciences

Radboud University
Campus Full time 1 year September 2017 Netherlands Nijmegen

This Master’s programme will give you everything you need to become an expert coordinator of ICT, people and organisations. [+]

A good computer system is one thing, but a system that meets its users’ needs is another. This Master’s programme will give you everything you need to become an expert coordinator of ICT, people and organisations. The Netherlands is the European leader in information science. By providing excellent training in a stimulating research environment, Radboud University is thus a leader among leaders, producing graduates who ensure that good software is also useable software.

Programme This programme is structured as follows: Mandatory courses, including information science, business rules, security in organisations, research methods, information and science, philosophy (30 EC) Specialisation courses (6 EC) Elective courses (6 EC) Master’s thesis (18 EC) ... [-]


Information Technology

SRH University Heidelberg
Campus Full time 18 months October 2017 Germany Heidelberg

Wireless communications, cellular TV phone technology, satellite technology, robotics, network technology … these are modern applications of information technology. Are you interested? Then [+]

Master - Information Technology

(School of Engineering)

Wireless communications, cellular TV phone technology, satellite technology, robotics, network technology … these are modern applications of information technology. Are you interested? Then get ready to learn how to convert, store, protect, process, transmit, and securely retrieve information.To prepare you for your future, we designed the programme “Information Technology”. You will focus on the implementation, support and management of computer-based information systems, particularly software applications and computer hardware but also on Antenna design for mobile and satellite applications.... [-]


Master in Artificial Intelligence and Distributed Computing

Universitatea De Vest Din Timisoara
Campus Full time 2 years 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 Information Systems

University of Liechtenstein
Campus Full time 4 - 10 semesters 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? [+]

Masters in IT in Europe 2017. 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 [-]

International Master in Project Management & Data Science

HTW Berlin University Of Applied Sciences
Campus Full time 4 semesters 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 1 year September 2017 Ireland Galway

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

Masters in IT in Europe 2017. 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, IT in Public Administration

Örebro University
Campus Full time 2 years August 2017 Sweden Örebro

Our Master gives you the skills by providing scientific knowledge and opportunities to apply these to real-life settings. We provide cutting edge scientific and practitioner expertise and a vast network of experts to become part of. [+]

The use of IT expands and skilled IT developers developing systems that are efficient, user friendly and fulfil the needs of users and organisations are therefore urgently needed. Do you want to work as a professional IT-specialist developing organizations and businesses using IT? Then this master program is for you by providing you with skills and knowledge about the social and technical aspects needed to use IT in order to improve organisations and businesses. Information technology is today an integrated part of all organisations and businesses. Today there is therefore a need for a new expertise that is innovative and that skilfully combines the technical, organisational and social skills required to make IT-systems truly useful for people and organisations. We focus on the building blocks necessary to harness technology for development: Users, Organization, Technology, and Economy. Our Master gives you the skills by providing scientific knowledge and opportunities to apply these to real-life settings. We provide cutting edge scientific and practitioner expertise and a vast network of experts to become part of. You become an expert able to provide the necessary cross-sector integration necessary to manage change in situations with multiple and conflicting interests, including departmental and business interests, regulatory and legal standards and norms, and human and social concerns. Our Master in Informatics/Information Systems prepares you well for working life and includes two specialisations: IT project management and IT in public sector. Specialization IT project management: This specialization gives you the skills to initiate and lead IT- projects in order to solve strategic and operative problems in organisations. Central skills concern system requirement, project work and management, evaluation and investment assessment. Specialization IT in public sector: This specialization gives you the skills needed to understand and act upon the technical, organizational and sociological changes that occur when IT is used in public sector. You will know how information is created and used in organizational processes and how these processes can be managed and improved. Central skills concern how IT is used in public sector; political and democratic dimensions; management and infrastructures; e-services; process modelling and enterprise architecture. During our Master you will also enhance your skills in professional writing and communication. You can also influence your specialization via assignments and thesis writing. Specific entry requirements A first-cycle qualification comprising at least 180 credits, of which at least 90 credits are for specialised study in a main field of study and at least 60 credits are for courses in informatics or computer science. The applicant must also have qualifications corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School. Qualifications (degree awarded) Degree of Master of Arts/Science [60 credits] Degree of Master of Arts/Science [120 credits] Career The career opportunities for skilled IT systems developers are very good. After finishing the Master you can work as an IT-consultant or project leader. You are an expert on assessing how to best use IT to solve organisations' various problems and you are highly skilled in project management within businesses. The program also prepares you for PhD studies in Informatics. Additional information The application period is open between October 16th 2015 - January 15th, 2016. [-]

Master of Information Technology

Macquarie University
Campus Full time 1 year 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) ... [-]