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Masters Degrees in Computer Science, Netherlands

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This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches. Read more

This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches.

What does this master’s programme entail?

The two-year master’s programme in Computer Science offers six specialisations which combine excellent theoretical teaching with possibilities for applied work with industrial relevance. This is achieved by intensive collaboration with companies at the Leiden Centre of Data Science. Course themes include topics such as Evolutionary Algorithms, Neural Networks, Databases and Data Mining, Swarm-Based Computation, Bayesian Networks, Multimedia Systems, Embedded Systems and Software, Advanced Compilers and Architectures, Bio-Modeling and Petri Nets.

Read more about our Computer Science programme.

Why study Computer Science at Leiden University?

  • Interdisciplinary research opportunities as well as industrial applications provide you with exciting possibilities. The industrial application areas and interdisciplinary activities include, among others: Bioinformatics and Life Sciences, Medicine, Pharma, Physics, Engineering Applications, Logistics Applications, Energy and Utility related Applications and Financial Applications.
  • You will benefit from our diverse collaborations and the possibilities for internships and projects with our partners such as BMW, ING and Strukton.
  • You have ample of opportunities to assemble your own study path: an individually tailored programme will be designed for each student.

Find more reasons to choose Computer Science at Leiden University.

Computer Science: the right master’s programme for you?

The programme is open for students with an internationally recognized bachelor’s degree in computer science or equivalent. You will be trained as an independent researcher, equipped with the necessary skills to advance your career as a computer scientist.

Read more about the entry requirements for Computer Science.

Specialisations



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In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. Read more

In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. The programme is unique in the Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.

The emphasis of the Master's is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, Complexity Theory, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.

Within both institutes, ICIS and WINST, there is a concentration of researchers working on mathematical logic and theoretical computer science with a collaboration that is unique in the Netherlands. The research topics range from work on algebra, logic and computability, to models of distributed, parallel and quantum computation, as well as mathematical abstractions to reason about programmes and programming languages.

See the website http://www.ru.nl/masters/mathematics/foundations

Admission requirements for international students

1. A completed Bachelor's degree in Mathematics or Computer Science

In order to get admission to this Master’s you will need a completed Bachelor's in mathematics or computer science that have a strong mathematical background and theoretical interests. We will select students based on their motivation and their background. Mathematical maturity is essential and basic knowledge of logic and discrete mathematics is expected.

2. A proficiency in English

In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:

- TOEFL score of ≥575 (paper based) or ≥90 (internet based)

- IELTS score of ≥6.5

- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher

Career prospects

There is a serious shortage of well-trained information specialists. Often students are offered a job before they have actually finished their study. About 20% of our graduates choose to go on to do a PhD but most find jobs as systems builders, ICT specialists or ICT managers in the private sector or within government.

Our approach to this field

In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. The programme is unique in the Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.

The emphasis of the Master's is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, General Topology, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.

Our research in this field

Within both institutes, ICIS and WINST, there is a concentration of researchers working on mathematical logic and theoretical computer science with a collaboration that is unique in the Netherlands. The research topics range from work on algebra, logic and computability, to models of distributed, parallel and quantum computation, as well as mathematical abstractions to reason about programmes and programming languages.

See the website http://www.ru.nl/masters/mathematics/foundations



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A solid, theoretical understanding of computer technology with plenty of attention for the wide range of ICT applications. The enormous and rapidly growing power of ICT is the main driving force shaping our modern society. Read more

A solid, theoretical understanding of computer technology with plenty of attention for the wide range of ICT applications.

The enormous and rapidly growing power of ICT is the main driving force shaping our modern society. This goes beyond the technical and economical aspects. ICT is also essential in research as all sciences benefit from the raw power of software in processing huge quantities of data. But how do we manage and control the complexity of modern software? How can we make the most of the opportunities? And, not to be forgotten, how can we secure the ICT infrastructures we so heavily rely on? The Master’s programme in Computing Science covers all these aspects.

We offer specialisations in each terrain: security, software, data and the mathematics at the base of it all. These are not, however, isolated disciplines. We also look at the interesting interplay between them. For example, by taking privacy into account when dealing with big data. And by doing a thorough analysis of newly designed software to prevent security breaches later. Thanks to a large number of optional courses, you can decide where you want your focus to be.

The job opportunities in computer science are excellent: many of our students get offered jobs before they’ve even graduated and almost all have positions within six months after graduating. Many of our graduates find jobs as systems builders, ICT specialists or ICT managers and a few continue as researchers.

See the website http://www.ru.nl/masters/computingscience

Specialisations

- Cyber Security

You’ll learn to assess the security of existing ICT solutions, and how to develop more secure solutions for the future. This specialisation is offered in collaboration with the Eindhoven University of Technology, meaning you get taught by many of the best cyber security experts in the country.

- Data Science

You’ll learn how to turn real-world data sets into tools and useful insights, with the help of software and algorithms. Radboud University and the iCIS research institute are leading in research on legal and privacy aspects of data science and on the societal and administrative impact of data science.

- Mathematical Foundations of Computer Science

You’ll come to understand the fundamental mathematical concepts of computation and information in order to stretch the boundaries of computer technology. We’re the only specialisation in the country – and one of the few in the world – to focus on the theoretical and abstract playing field linking mathematics and computer science.

- Software Science

You’ll learn how to design high-level software that guarantees safety while controlling its complexity. At Radboud University, we are specialised in model based development. In other words, writing and testing code before they are unleashed in the real world or built into an expensive prototype.

- Societal Master's specialisations

You can either follow one of the above-mentioned research Master's specialisations as a whole (2 years), or you can combine the first year of the research specialisation with an additional year of one of the societal Master’s specialisations, namely:

- Science in Society

- Science, Management and Innovation

Why study Computing Science at Radboud University?

- All of our specialisations are closely related to the research carried out within the Institute for Computing and Information Science (iCIS).

- Our approach is pragmatic as well as theoretical. As an academic, we don’t just expect you to understand and make use of the appropriate tools, but also to program and develop your own.

- There are plenty of high profile companies in the vicinity such as Philips and ASML, where you could do an internship or the research for your Master’s project.

- Exceptional students who choose the Data Science specialisation have the opportunity to do a double degree in Computing Science together with the specialisation in Web and Language Interaction (Artificial Intelligence). This will take three instead of two years.

Career prospects

There is a serious shortage of well-trained information specialists. Often students are offered a job before they have actually finished their study. About 20% of our graduates choose to go on to do a PhD but most find jobs as systems builders, ICT specialists or ICT managers in the private sector or within government.

Our research in this field

The Institute for Computing and Information Science (iCIS) is the research institute that is connected to Radboud University. Within this institute there are three research sections:

- Model Based System Development

- Digital Security

- Intelligent Systems

Within each research section there are different departments/groups that have their own research. On the websites of the research sections you will find more information about their research, publications, the departments/groups and contact information.

See the website http://www.ru.nl/masters/computingscience



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Program Brief. The LCT program is an international distributed Master program. Read more

Program Brief

The LCT program is an international distributed Master program. It is designed to meet the demands of industry and research in the rapidly growing field of Language Technology. Research and innovation in Language Technology is vital for many of the smart applications that are pervasive in modern daily life, such as virtual assistants, automatic translation services, search engines, voice-driven technology, social media analytics etc. Language Technology (also known as Computational Linguistics or Natural Language Processing) is an interdisciplinary field at the intersection of Linguistics, Computer Science and Mathematics (logic, probability theory, formal language theory, statistics). Hence, students in this program choose appropriate combinations of modules in Language Technology, Computational and Theoretical Linguistics, and Computer Science. Moreover, the students are able to acquire practice-oriented knowledge through our strong and continuous links with industry through internships, joint industry-academia supervisions, and the like.

Mobility

The program involves studying one year each at two different European partner universities. Optionally, a stay at one of the non-european partners for some months is possible, as well as an internship at any of our industrial partners. After completing all study requirements, the students obtain two Master degrees: one from each of the two European universities where they studied.

 

Study program

The course consists of compulsory core modules, as well as elective advanced modules in Language Technology and Computer Science, possibly complemented by an internship project, and completed by a Master Thesis.

 

History

The LCT Masters program has been successfully implemented since 2006, being funding by the Erasmus Mundus Programme from 2007 to 2011 and from 2013 to 2017. In 2012 the LCT Program operated as an Erasmus Mundus Brand Name. Intake 2018: the program commits to respecting the Erasmus Mundus requirements and to maintain the high quality of the implementation during the years of funding.

Key facts:

+ duration 2 years (120 ECTS credits)

+ in-depth theoretical and hands-on instruction in computational linguistics methods and technologies

+ study one year each at two different partner universities in Europe

+ double degree

+ possibility to visit one of two non-European partners for a part of the study

+ language of instruction and academic and administrative support is English

European partners:

1. Saarland University in Saarbruecken, Germany (coordinator)

2. University of Trento, Trento, Italy

3. University of Malta, Malta

4. University of Lorraine, Nancy, France

5. Charles University, Prague, Czech Republic

6. Rijksuniversiteit Groningen, The Netherlands

7. The University of the Basque Country / Euskal Herriko University, San Sebastian, Spain

 

Non-European partners:

8. Shanghai Jiao Tong University, China

9. The University of Melbourne, Australia

 

Frequently Asked Questions

You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php

Careers

The LCT program offers education and training opportunities for the next generation of leaders in research and innovation in artificial intelligence as well as language and speech technologies. Examples of jobs held by the LCT alumni include: PhD student; university professor; company founder, data scientist, software engineer, IT consultant, senior analyst, researcher, senior linguist, information extraction engineer, project leader, computational linguist, assistant professor, post-doctoral researcher. 

Visit the European Masters Program Language & Communication Technologies page on the University of Malta website for more details!


Frequently Asked Questions

You can find answers to our Frequently asked questions here: https://lct-master.org/contents_2014/faq.php



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Rapid changes in information and communication technology and its applications over recent years have caused major changes for individuals, organisations and industries. Read more
Rapid changes in information and communication technology and its applications over recent years have caused major changes for individuals, organisations and industries. The internet, and information systems and communication technology in general, have radically impacted our personal and professional lives. New business models have emerged, as well as new types of entrepreneurship and new forms of leadership.

This two-year programme aims at providing a deeper understanding of the issues, challenges and opportunities in this area, with a specific focus on the alignment of ICT and management. The programme combines the knowledge and expertise of the Leiden Institute of Advanced Computer Science (LIACS) with those of professionals from the field.

Visit the website: http://en.mastersinleiden.nl/programmes/ict-in-business/en/introduction

Course detail

The ICT in Business programme consists of around 20 courses and a 38ects thesis project. The master’s thesis research project is not necessarily but often based on an in-company project.

The courses cover business fundamentals, core ICT & Business topics, research related courses and electives:

Business Fundamentals
A set of courses that will bring students onto a basic level of business understanding. Examples: Marketing, Finance and Managing People.

Core courses: ICT in Complex Organisations
Advanced courses that focus on the interrelationship between organizational processes, management and ICT. Examples: ICT Architectures, Strategy and Software Engineering.

Research Courses
Courses to develop research skills, necessary for your master thesis research project. This project is not necessarily, but often based on an in-company project in a complex organization like a Governmental Institution, a multinational or a bank. Duration: 6 months.

Electives
The electives allow you to individualize your programme and accommodate special interests. Examples: ICT in the Public sector, legal aspects of ICT and Data Driven Marketing. Taking electives abroad is encouraged.

The programme schedule is intense, allowing participants to complete the programme (regular course load: two academic years) in around 22 months of full-time study.

Reasons to Choose ICT in Business in Leiden:

1. The programme offers a managerial focus on ICT and Business, combining the reputation of the Leiden Institute of Advanced Computer Science (LIACS) with that of the RSM Erasmus University (ranked in the top-3 in Europe)

2. Both the faculty and the department have a strong international focus:

– world-class international faculty and focus on global issues
– small groups (30 students), diverse international student population (50%)
– cross-cultural team work
– study-abroad exchange and in-company research thesis opportunities

3. This master’s offers a seamless transition from most bachelor’s programmes in Computer Science.

4. Graduates of the master’s programme have excellent career opportunities, and typically multiple employment offers upon graduation.

5. Students benefit from the department’s strong links to industry with guest lectures, in-company research projects and placement opportunities.

Careers

After finishing M.Sc. ICT in Business, job opportunities are excellent and diverse, ranging from consultancy to IT management and from entrepreneurship to PhD research. Graduates of our programme are particularly suitable for a career path leading to Chief Information Officer in large organisations. They have found jobs in all the above categories, both within Europe and outside, in industry, government and universities.

How to apply: http://en.mastersinleiden.nl/arrange/admission

Funding

For information regarding funding, please visit the website: http://prospectivestudents.leiden.edu/scholarships

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How can we develop secure and robust software? How can we teach computers to see? How can we make our software easily adaptable to new tasks? How do we improve learning by computers?. Read more
How can we develop secure and robust software? How can we teach computers to see? How can we make our software easily adaptable to new tasks? How do we improve learning by computers?

If you find these questions fascinating, you should choose the Master's degree programme in Computing Science in Groningen. This programme deals with both the theoretical and the practical aspects of computing.

You will develop and increase your in-depth knowledge within the areas of Distributed Systems, Software Engineering, Intelligent Systems, Computational Science and Visualization. Most courses offer insightful lectures covering both theory and practice. Apart from acquiring core computer science skills, mathematics and research methodology are also important.

In student colloquia research and presentation skills are developed. For those aiming to go into business rather than academia, project management and related topics are also offered. All skills acquired are actively used in research projects, either within the university or during business and industrial internships.

Because computer science is pivotal in many areas of research, students can easily participate in one of many research collaborations with other fields, such as bioinformatics, medicine and astronomy. In addition, contacts with many businesses facilitate internships in a variety of fields, matching the interests of most students.

Why in Groningen?

- Excellent computing facilities: Virtual Reality Cube, 12000+ processor, STELLA Blue-Gene type supercomputer, world's biggest touch screen
- Also offers Computational Science and Visualisation, in particular 3-D medical imagining

Job perspectives

Having completed the Master's degree programme in Computing Science, you will be spoilt for choice regarding future employment. There are hardly any areas of business or research which do not require computer scientists, either software engineers and architects, or researchers. Usually our students are offered suitable jobs within one month of graduating (or even before graduating).

After graduating, most of our alumni move on to software companies (or found their own) or to academia, usually by entering into PhD programmes.

Those in industry are generally promoted to managerial roles after a few years and, for example, become project managers.In academia the usual path is from PhD via post-doctoral researcher to university staff member, though quite a few of our successful PhD students have moved on to industry as well. Many MSc and PhD students have gone into the field of medical imaging, either at various universities or in the research labs of large companies. More and more are moving into bioinformatics.

Job examples

- PhD research position
- Work for a software company
- Medical imaging
- Bioinformatics

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Why study Visual Computing and Communication?. Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. Read more

Why study Visual Computing and Communication?

Visual Computing and Communication focuses on the acquisition, processing, analysis, transmission, and rendering of visual information, including aspects of learning and decision making. It is an interdisciplinary programme at the intersection of computer science and information technology where students can be active in the areas of image processing and communication, image analysis, computer vision, computer graphics, augmented reality, visualisation, visual analytics, as well as web-based and network applications. Our graduates combine technological and business aspects to create products and services for our ocular-centric world.

Why choose Visual Computing and Communication at EIT Digital?

Visual Computing and Communication is a perfect Masters education for those who are fascinated by the algorithms and services that handle visual information in today’s digital society. Students with excellent skills in data and signal processing, linear algebra, probability, and programming will thrive on this programme, which provides opportunities to solve real-world problems and to create new innovative solutions. There is a growing community of technologists and innovators in this challenging, yet rewarding field.

What are the career opportunities?

Our graduates become professionals with an expertise in dealing with visual information. Some may work on computer vision problems in the area of robotics or autonomous vehicles. Others may work on visualisation problems for visual analytics. Many may be drawn to the new world of augmented reality. Careers are made, for example, as an engineer at a telecommunications company, a software developer in the area of e-commerce, a technology innovation consultant, the founder of a tech start-up chasing global markets, or even a PhD researcher at a university in Europe.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the I&E minor please click here.

Where can I study Visual Computing and Communication?

Entry - 1st year (common courses)

  • Delft University of Technology (TUD)
  • Royal Institute of Technology (KTH)
  • University of Trento (UniTN)

Exit - 2nd year (specialisation)

  • Communication Services and Applications at BME
  • Computer Vision and Multimedia Analysis at UniTN
  • Mobile Visual Computing at KTH
  • Visual Analytics and Pattern Recognition at TUD
  • Web-based Applications at Aalto

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



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Why study Human Computer Interaction and Design?. Smart devices (mobile phones, PDAs, tablet computers), smart products (car, navigation) and smart environments (ambient intelligence) are enabling new services that require innovative interfaces. Read more

Why study Human Computer Interaction and Design?

Smart devices (mobile phones, PDAs, tablet computers), smart products (car, navigation) and smart environments (ambient intelligence) are enabling new services that require innovative interfaces. Human-Computer Interaction and Design (HCID) focuses on the study, design, development and evaluation of novel user interfaces, interactive systems and services.

Why choose Human Computer Interaction and Design at EIT Digital?

The EIT Digital Master's degree HCID is an interdisciplinary programme where our User-Centred Design approach places the users at the centre of the design process. By combining human aspects (both at a cognitive, aesthetic and sensory-motor levels) to technological and business aspects, we create new products and services with great usability and user experience, and a solid customer demand, which often translate into commercial success.

HCID serves as the bridge to new products and services. Students learn how to design and define how people interact and live with the modern ever changing technical world.

What are the carrier opportunities?

Graduates from the HCID master’s programme qualify for jobs in international and local organizations in both technical and business roles. Graduates could become:

  • User experience (UX) or interaction designer
  • UX Architect
  • Usability engineer
  • Interactive systems engineer
  • Human factors expert
  • Business developer
  • Product manager
  • Consultant

Through their multidisciplinary attitude, HCID graduates are valuable in open innovation settings where different aspects (market, users, social aspects, media technologies) come together. They can choose to work within companies that provide value-added products and services, such as game companies, e-learning, web developers, and entertainment. An alternative path would be to start your own company to provide product or technology development, media content, business development or consultancy services.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

Where can I study Human Computer Interaction and Design?

Entry - 1st year, common courses

  • Aalto University (Aalto)
  • KTH Royal Institute of Technology (KTH)
  • Université Paris-Sud (UPS)
  • University of Twente (UT)
  • Universidad Politecnica de Madrid (UPM)
  • Polytechnic University of Milan (Polimi)

Each Entry University in HCID provides an introduction course to HCI, working knowledge to the design and implementation of interactive systems, necessary usability evaluation methods and a multi-disciplinary design project.

Exit - 2nd year, specialisation

  • Accessible and Adaptive Interaction, Universidad Politecnica de Madrid (UPM)
  • Cognitive Interaction, University of Trento (UniTN)
  • Intelligent systems, University of Twente (UT)
  • Mobile and ubiquitous interaction, KTH Royal Institute of Technology (KTH)
  • Multimodal interaction, TU Berlin (TUB)
  • Situated Interaction, Université Paris-Sud (UPS)
  • User Modeling for Advanced Human-Computer interaction, Aalto University(Aalto)

To learn more about the I&E minor please click here.

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



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Learning how to design high-level software that guarantees safety and correctness while still being in control of its complexity. Read more

Learning how to design high-level software that guarantees safety and correctness while still being in control of its complexity.

Software plays a role in almost every aspect of our daily lives and in every organisation anywhere in the world. It can often be a crucial key to their success. Well-structured software that is attuned to an organisation’s needs and future plans can be cost effective, improve efficiency, offer better services and be innovative. Many companies, in every branch out there, are therefore looking for highly skilled software specialists. Graduates of the Master’s specialisation in Software Science will have no trouble finding a job.

Producing software is not merely a technological enterprise but a deeply scientific and creative one as well. Modern cars drive on 20 million lines of code. How do we develop all this software and control its complexity? How do we ensure correctness of software on which the lives in a speeding car literally depend on? This specialisation goes far beyond basic code writing. It’s about analysing and testing code in order to improve it as well as simplify it.

Why study Software Science at Radboud University?

- Although not the only focus, our programme puts a lot of emphasis on embedded software and functional programming.

- We teach a unique range of software analysis techniques and application down to practical/commercial use in industry.

- This specialisation builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in areas such as model based and virtual product development, advanced programming, and domain specific languages. We also closely collaborate with the Embedded Systems Institute.

- Our approach is pragmatic as well as theoretical. As an academic, we don’t just expect you to understand and make use of the appropriate tools, but also to program and develop your own.

- For your Master’s research we have a large number of companies like Philips, ASML and NXP offering projects. There are always more projects than students.

- Thanks to free electives students can branch out to other Computing Science domain at Radboud University such as security, machine learning or more in-depth mathematical foundations of computer science.

- The job opportunities are excellent: some of our students get offered jobs before they’ve even graduated and almost all of our graduates have positions within six months after graduating.

See the website http://www.ru.nl/masters/softwarescience

Admission requirements for international students

1. A completed Bachelor's degree in Computing Science or related area

In order to get admission to this Master’s you will need a completed Bachelor’s degree in Computing Sciences or a related discipline.

2. A proficiency in English

In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:

- TOEFL score of >575 (paper based) or >232 (computer based) or >90 (internet based)

- IELTS score of >6.5

- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher

Career prospects

Writing good software is a highly creative process, which requires the ability to approach problems in entirely novel ways through computational thinking. Besides creativity, a professional software scientist also has fine problem-solving, analytical, programming, and communication skills. By combining software programming, model-checking techniques and human intellect, software scientists can make a real difference to help and improve the devices that govern such a large part of our lives.

The job perspective for our graduates is excellent. Industry desperately needs software science specialists at an academic level, and thus our graduates have no difficulty in find an interesting and challenging job. Several of our graduates decide to go for a PhD and stay at a university, but most of our students go for a career in industry. They then typically either find a job at a larger company as consultant or programmer, or they start up their own software company.

Examples of companies where our graduates end up include the big Dutch high-tech companies such as Océ, ASML, Vanderlande and Philips, ICT service providers such as Topicus and Info Support and companies started by Radboud graduates, like AIA and GX.

Our research in this field

The Master’s programme in Computing Sciences is offered in close collaboration with the research Institute for Computing and Information Sciences (iCIS). Research at iCIS is organised in three different research sections:

- Model Based System Development

- Digital Security

- Intelligent Systems

The Software Science specialisation builds on the strong international reputation of iCIS in areas such model based and virtual product development, advanced programming, and domain specific languages.

Research project and internship

For your research project, you may choose to do your internship at:

- A company

---- SME, such as as Océ, Vanderlande, Clarity or GX

---- multinational, such as the Philips, ASML, NXP, Logica or Reed Business Media

- A governmental institute, such as the (Dutch) Tax Authorities or the European Space Agency.

- Any department at Radboud University or another university with issues regarding software, like studying new techniques for loop bound analysis, the relation between classical logic and computational systems, or e-mail extension for iTasks.

- One of the iCIS departments, specialising on different aspects of Software Science.

- Abroad, under supervision of researchers from other universities that we collaborate with. For instance, exploring a new technique for automata learning at Uppsala University in Sweden, or verifying the correctness of Erlang refactoring transformations at the Eötvös Loránd University (ELTE) in Budapest, Hungary.

See the website http://www.ru.nl/masters/softwarescience



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Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans. Read more

Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.

The human brain is a hugely complex machine that is able to perform tasks that are vastly beyond current capabilities of artificial systems. Understanding the brain has always been a source of inspiration for developing artificially intelligent agents and has led to some of the defining moments in the history of AI. At the same time, theoretical insights from artificial intelligence provide new ways to understand and probe neural information processing in biological systems.

On the one hand, the Master’s in Neural Computing addresses how models based on neural information processing can be used to develop artificial systems, such as neuromorphic hardware and deep neural networks, as well as the development of new machine learning and classification techniques to better understand human brain function and to interface brain and computer.

On the other hand it addresses various ways of modelling and understanding (the limitations of) cognitive processing in humans. These range from abstract mathematical models of learning that are derived from Bayesian statistics to resource-bounded computations in the brain, explainable AI, and neural information processing systems such as neural networks that simulate particular cognitive functions in a biologically inspired manner.

See the website http://www.ru.nl/english/education/masters/neural-computing/

Why study Neural Computing at Radboud University?

- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.

- Together with the world-renowned Donders Institute, the Behavioural Science Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.

- Master’s students are free to use the state-of-the-art facilities available on campus, like equipment for brain imaging as EEG, fMRI and MEG.

- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Brain Network and Neuronal Communication. This will take three instead of two years.

- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.

- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.

Our research in this field

The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You will be able to use these facilities for developing new experimental research techniques, as well as for developing new machine learning algorithms to analyse the brain data and integrate them with brain-computer interfacing systems.

- Deep learning

Recent breakthroughs in AI have led to the development of artificial neural networks that achieve human level performance in object recognition. This has led companies like Google and Facebook to invest a lot of research in this technology. Within the AI department you can do research on this topic. This can range from developing deep neural networks to map and decode thoughts from human brain activity to the development of speech recognition systems or neural networks that can play arcade games.

-Computational framework for counterfactual predictive processing

In a recent paper we introduced a computational framework, based on causal Bayesian networks, to computationally flesh out the predictive processing processing framework in neuroscience. In this project we want to extend this to so-called counterfactually rich generative models in predictive processing. Such models encode sensorimotor contingencies, that is, they represent 'what-if' relations between actions and sensory inputs. We aim to further operationalize this account using Pearl's intervention and counterfactual semantics. In this project you will combine formal computational modelling with conceptual analysis. 

- Brain Computer Interfacing

Brain computer interfaces are systems which decode a users mental state online in real-time for the purpose of communication or control. An effective BCI requires both neuro-scientific insight and technical expertise . A project could be to develop new mental tasks that induce stronger/easier to decode signals, such as using broadband stimuli. Another project could be to develop new decoding methods better able to tease a weak signal from the background noise, such as adaptive-beam forming. Results for both would assessed by performing empirical studies with target users in one of the EEG/MEG/fMRI labs available in the institute.

Career prospects

Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Google, Facebook, IBM, Philips and the Brain Foundation. Some students have even gone on to start their own companies or joined recent startups.

Job positions

Examples of jobs that a graduate of the specialisation in Computation in Neural and Artificial Systems could get:

- PhD researcher on bio-inspired computing

- PhD researcher on neural decoding

- PhD researcher on neural information processing

- Machine learning expert in a software company

- Company founder for brain-based computer games

- Hospital-based designer of assistive technology for patients

- Policy advisor on new developments in neurotechnology

- Software developer for analysis and online visual displays of brain activity

Internship

Instead of an extended research project (45 ec) you can also choose to do a smaller (30 ec) research project plus a 15 ec internship, giving you plenty of hands-on experience with AI. We encourage students to do this internship abroad.



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Cloud Computing is the outsourcing of IT resources like servers, storages, network, and services and their provisioning over the Internet. Read more

Cloud Computing is the outsourcing of IT resources like servers, storages, network, and services and their provisioning over the Internet. Its advantages, when compared to self-operated IT resources, are significant cost reductions and increased elasticity, which is due to the fact that the IT resources can be simultaneously and flexibly shared among many customers by the concept of virtualisation.

Thus, more and more companies take advantage of the benefits that cloud can provide, and the demand for cloud professional is booming. According to a study conducted by Deloitte for the EU in 2016, 1.6 million jobs could be created and the formation of 303 000 new businesses, in particular SMEs, is expected.

As a result, knowing how to build applications with cloud-based concepts and technologies and how they work is an essential key skill for a promising and rewarding career.

Why choose Cloud Computing and Services at EIT Digital?

Cloud Computing and Services at EIT Digital Master School combines a technical major on cloud computing at two leading European universities with a minor in Innovation and Entrepreneurship (I&E).

Part of the technical major is the transfer of knowledge in technology platforms, practical skills, and formal foundations that are needed to understand state-of-the-art cloud solutions to implement distributed software applications on top of them. The programme also focuses on future directions of cloud computing, for example, in the fields of edge and fog computing as well as blockchains and distributed ledger applications respectively.

The technical skills will be extended with a comprehensive understanding of user driven innovation and how to build business models and business cases. Students get the chance to get in contact with Europe’s leading companies and start-ups and conduct an industry-based internship at one of these companies. Successful students receive a degree from both universities they visited during their two-years study as well as a certificate from EIT Digital.

What are the career opportunities?

Graduates qualify for jobs in international and local organisations in both technical and business roles. Typical titles are:

  • Cloud CTO
  • Cloud Software Engineer
  • Lead software Developer
  • Cloud Service Broker
  • Cloud Alliance Manager
  • Cloud Infrastructure Architect
  • Business developer
  • Product manager
  • Consultant

Through their multidisciplinary attitude graduates are valuable in open innovation settings where different aspects (market, users, social aspects, media technologies) come together. They easily find jobs within companies that provide value-added products and services, such as telecom companies, ecommerce providers, e-learning, web developers, and cloud operators. An alternative path would be to start your own company to provide product or technology development, media content, business development or consultancy services.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the I&E minor please click here.

Where can I study Cloud Computing and Services?

Entry - 1st year, common courses

  • Aalto University (Aalto), Finland
  • Technical University of Berlin (TUB), Germany 
  • University of Rennes 1 (UR1), France
  • University of Technology Delft (DUT), Netherlands

Exit - 2nd year, specialisation

  • Mobile Services at Aalto University (Aalto), Finland
  • Data intensive computing at Royal Institute of Technology (KTH), Sweden
  • Cloud & Data Analytics at Technical University of Berlin (TUB), Germany
  • Distributed Data Processing at University of Technology Delft (DUT), Netherlands
  • Data and Knowledge at University Paris Sud (UPS), France
  • Cloud Infrastructures at University of Rennes 1 (UR1), France

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

  • European citizen: No tuition fees. Up to 750 Euros monthly allowance
  • Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

  • 15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



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Cyber security is a topic of growing importance, as ICT affects ever more aspects of our daily lives Businesses and government rely on ICT to an ever larger degree. Read more

Cyber security is a topic of growing importance, as ICT affects ever more aspects of our daily lives Businesses and government rely on ICT to an ever larger degree. Both assessing the security of existing ICT solutions and developing more secure solutions for the future pose major scientific and societal challenges.

This Master specialisation covers a broad range of topics that is important for computer security. This includes topics in computer science (software, computer networks, and hardware, esp. smart-cards and RFID), but also mathematical aspects (cryptography and security protocols), as well as organisational and management issues, legal aspects, and societal issues (in particular privacy).

Master's specialisation in Cyber Security

The Digital Security group at Radboud University is the largest research group in computer security in the Netherlands, with a strong international reputation. Several times, research by the group made the news headlines. For example, in 2008 students revealed security flaws in the chipcard used for public transport in the Netherlands (the ov-chipkaart) and as the London Oyster card. In 2013, two researchers of the Digital Security group found security vulnerabilities in car immobiliser systems used by various car manufacturers.

This master specialisation is offered in a collaboration with the Eindhoven University of Technology (TU/e) and the University of Twente (UT), through a virtual institute called the Kerckhoffs Institute (http://www.kerckhoffs-institute.org/). Mandatory courses offered at the TU/e and UT can be followed by video connections, but following optional courses at these institutes may require traveling to Eindhoven or Enschede. Such courses are always scheduled back-to-back at one location to minimise travel time. While this does incur a cost in time and travel expenses, it does offer a unique opportunity to choose courses from the broad range of specialties at the three universities.

Cyber Security is a specialisation in the Master's programme in Computing Science and available for students with a Bachelor's degree in Computing Science or Mathematics.

Admission requirements for international students

1. A completed Bachelor's degree in Computing Science or related area

In order to get admission to this Master’s you will need a completed Bachelor’s degree in Computing Sciences or a related discipline.

2. A proficiency in English

In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:

- TOEFL score of >575 (paper based) or >232 (computer based) or >90 (internet based)

- IELTS score of >6.5

- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher

Career prospects

ICT security is a hot topic, with excellent job opportunities. Some students join companies that specialise in security, such as security evaluation labs, consultancy companies, or ICT companies that develop security solutions. Students with security expertise are also in strong demand by the (growing) number of organisations that heavily rely on ICT security, both in the private and public sector. Finally, some graduates go on to pursue a career in scientific or industrial research.



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Why study Cyber Security?. "There are over one million unfilled cyber security jobs in the world!!" (Forbes). At EIT Digital we see cybersecurity as one of the cornerstones of creating a safe and inclusive digital society. Read more

Why study Cyber Security?

"There are over one million unfilled cyber security jobs in the world!!" (Forbes)

At EIT Digital we see cybersecurity as one of the cornerstones of creating a safe and inclusive digital society. The omnipresence of digital technology has made that cybersecurity has even become an essential ingredient in defending our democratic values, as this recent article in politico.eu illustrates nicely.

Our Master School Programme Cyber Security has been developed to equip responsible cybersecurity specialists with the right knowledge and skills to be able to contribute to make the digital world a safer place.

The programme focuses on the study of the design, development and evaluation of secure computer systems, which are also capable of ensuring privacy for future ICT systems. The aim is to provide students with an understanding of the concepts and technologies for achieving confidentiality, integrity, authenticity, and privacy protection for information processed across networks.

Students will learn the fresh hot topics of the field including blockchain technologies, crypto currencies, practical (ethical) hacking, and quantum cryptography.

What are the career opportunities?

Graduates from the Cyber Security (CSE) master’s programme will qualify for jobs in international and local organisations in both technical and business roles. Typical titles are:

  • Cyber Security consultant
  • Security Analyst
  • Information Security Architect
  • Cyber Security Specialist
  • Computer forensics expert
  • Privacy-by-design consultant
  • Security Auditor

Cyber Security is also a burgeoning field for the design and development of new products and services. Graduates will easily find jobs within companies that provide value-added products and services, such as telecom companies, game companies, e-learning, web developers, and the entertainment industry.

Through their multidisciplinary attitude graduates are valuable in open innovation settings where different aspects (market, users, social aspects, media technologies) come together.

An entrepreneurial path is also open to those who seek to start their own company to provide product or technology development, media content, business development or consultancy services.

Why choose Cyber Security at EIT Digital?

The EIT Digital Cyber Security (CSE) Master’s degree offers:

  • Cutting edge technical content within the field of Cyber Security
  • Studies at two of Europe´s foremost technical universities leading to a double degree
  • A close integration with tailored business courses in Innovation and Entrepreneurship
  • A thesis work well grounded in industrial security and privacy problems
  • Access to the competence of eight EIT Digital innovation action lines, not least through a summer school between the two years.
  • Access to the co-location centres and innovation ecosystems of the EIT Digital nodes.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the I&E minor please click here.

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



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Cognitive Science and Artificial Intelligence. Read more

Cognitive Science and Artificial Intelligence

Are you interested in applications of Artificial Intelligence in communication techniques? Are you triggered by the question of how human reasoning can be represented in computer systems? Would you like to work for a company like Google or Philips? Then our interdisciplinary Master’s track Cognitive Science and Artificial Intelligence is your right choice!

The CSAI program draws on breakthrough discoveries and insights in the two closely related scientific disciplines Cognitive Science and Artificial Intelligence. Cognitive Science is the study of human reasoning, emotions, language, perception, attention, and memory. Artificial Intelligence is the study and design of computers and software that are capable of intelligent behavior.

Are you interested in applications of Artificial Intelligence in communication techniques? Are you triggered by the question of how human reasoning can be represented in computer systems? Would you like to work for a company like Google or Philips? Then our interdisciplinary Master’s track Cognitive Science and Artificial Intelligence is your right choice!

The CSAI program draws on breakthrough discoveries and insights in the two closely related scientific disciplines Cognitive Science and Artificial Intelligence. Cognitive Science is the study of human reasoning, emotions, language, perception, attention, and memory. Artificial Intelligence is the study and design of computers and software that are capable of intelligent behavior.

Career Prospects Communication Design

Graduates will be able to contribute to advancements in working fields like artificial intelligence and robotics, data science, data mining, knowledge technology and decision support systems.

This is a small selection of positions you may apply for after you have completed your programme:

•Intelligent Software Developer

•Web Analyst

•Social Media Analyst

•Data Journalist

•Social Robot Developer

•Web Data Entrepreneur

•E-Health and Healthcare Quality Analyst



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Why study Embedded Systems?. Embedded systems are everywhere! More than 98% of the world’s processors are located in embedded systems. Read more

Why study Embedded Systems?

Embedded systems are everywhere! More than 98% of the world’s processors are located in embedded systems. Embedded systems focuses on enabling technologies and design methodologies for computing systems which are embedded as integral parts of larger systems. They are designed for specific control functions of devices with various electronic and mechanical components.

Applications include a wide variety of industrial and personal systems such as robots, cars, airplanes, satellites, elevators, mobile telephones, washing machines, and health-care equipment just to mention a few. In all these areas, embedded systems confer added value to the products by either extending the range of the delivered functionalities or by enhancing the quality of a “traditional” functionality that is rendered to the user.

Why choose Embedded Systems at EIT Digital?

The mission of the Embedded Systems (ES) programme is to give students a holistic and multidisciplinary view and skillset on embedded systems, their underlying technologies, their development, and their integration.

Through the combined technical and entrepreneurial education, students get insight into the role of embedded systems in the modern society and ability to develop innovations into business ideas and high tech embedded systems start-ups.

Graduates of the ES programme become world-class specialists and innovators in the field of embedded systems, capable of developing smart embedded solutions for new challenges in domains of Cyber-Physical Systems (CPS) and the Internet-of-Things (IoT). They are also capable of taking on leading management roles in embedded systems and more general ICT companies.

What are the career opportunities?

Many European companies are world leading in the field of embedded systems design and have a strong demand for highly skilled, creative engineers, innovators, system architects, and specialists. In this ever-changing world, Europe needs brand new companies that are able to provide innovative embedded solutions to address societal challenges, to improve the quality of life, and to boost the European economy and leadership. Graduates of this programme could be the pioneers to bring about that change.

As a result, ES can lead to a very wide variety of jobs. To name a few:

  • Embedded Systems Engineer
  • Embedded Solutions Engineer
  • Robotic Systems Software Engineer
  • Embedded Operating Systems Software Developer
  • Hardware Engineer
  • Wireless Embedded Software Engineer
  • Audio Software Systems Engineer
  • Autonomous Vehicle Systems Engineer
  • Automotive Systems Engineer
  • Internet of Things Solutions Architect
  • Software Test Engineer
  • Embedded Systems R&D Test Engineer
  • Space Vehicle Software Test and Systems Engineer

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the I&E minor please click here.

Where can I study Embedded Systems?

Entry - 1st year (common courses)

  • Eindhoven University of Technology (TU/e), Netherlands
  • Royal Institute of Technology (KTH), Sweden
  • Technical University of Berlin (TUB), Germany

Exit - 2nd year (specialisation)

  • Mobile Cyber-Physical Systems, Aalto University (Aalto), Finland
  • Critical Embedded Systems, Budapest University of Technology and Economics (BME), Hungary
  • Embedded Platforms, Royal Institute of Technology (KTH), Sweden
  • Embedded Multicore Processing, Technical University of Berlin (TUB), Germany
  • Embedded Networking, Eindhoven University of Technology (TU/e), Netherlands
  • Real-Time Systems and Design of Cyber-Physical Systems, University of Trento (UNITN), Italy
  • Internet of Things for Smart Embedded Systems, University of Turku (UTU), Finland

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



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