Unite!'s Master’s Programme in Communications and Data Science
Applications open
2022/03/31
This master's programme allows you to choose between three European universities, to advance your knowledge in the broad field of computer networks and cybersecurity, and gain professional experience through tailored industry-relevant projects and entrepreneurship training. Application is already open and the deadlines vary from May to June, depending on the University students chose for their first year.
The Master's Programme in Communications and Data Science is a double degree programme offered by the Unite! alliance. It’s a two-year programme carried out jointly with three European universities: Aalto University, Grenoble INP Graduate schools of Engineering and Management at Université Grenoble Alpes, and Técnico Lisboa at Universidade de Lisboa in Portugal. Students start their studies in one of these universities and after one year, they will change their study place. In the first year, all universities have a comparable programme. In the second year, they’ll choose their area of specialisation, which is different in each university.
At Aalto, a student can specialise in Communications, Automation and Machine Learning. At Grenoble, a student can specialise in Communications, Data Science, and Security and at Técnico Lisboa in Communications and Data Science.
Objectives of studies
The expertise gained through the Communications and Data Science Programme features diverse programming skills, good mathematical background, goal-oriented problem solving, as well as efficient project planning and management.
Students will acquire competences in a range of techniques covering the broad areas of electronics, data science, distributed systems, modelling and analysis of signals and systems, machine learning models, and communication systems. The programme will empower students to solve industry-relevant problems employing cutting-edge tools of artificial intelligence, automation and control theory, data analytics, wireless systems, and signal processing.
Students can collaborate with fellow students from the other universities as well. Great examples are hybrid courses and project courses where students from different universities do a project together.
We talked to the Head of the Master’s Programme, Professor Stephan Sigg from Aalto University.
Professor Sigg, why should a student choose the Communications and Data Science programme?
For a student, the programme has lots of personal benefits. It’s a richness to have the opportunity to study in different environments and countries. In this programme, you will enlarge your network and get to know more teachers, students, and systems.
What will they learn during their studies?
The programme is composed of courses in mathematics and programming. The first year’s general studies are mostly related to communication and AI and they are similar in all three universities. Students can also choose many courses freely depending on their interests. In the second year, students will focus more on their area of specialisation, such as communication, AI, automation and cybersecurity.
What kinds of solutions can the students provide for society’s needs after their education?
There are lots of good opportunities for students who graduate from this master’s programme. Companies are interested in people who are open to new things, who challenge themselves, and who don’t only focus on small areas of expertise.
The programme offers a good mix of topics that will be relevant in the near future, and that’s something that makes this programme unique. For example, machine learning, AI, and automation are all hot topics right now. The students have a great opportunity for an international career as well, because their network is bigger, and they might have some extra language competence.
For all of these three universities, students usually don’t experience problems in finding jobs after they’ve graduated.
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How to apply?
Students with a B.Sc./B.Eng. Degree in a technical area related to the programme, such as computer science, electrical or computer engineering, are welcomed to apply. A good background in mathematics or communications is expected from students.
Students need to apply to their chosen partner University, in which they study their first year of studies. Please see each University’s admission information below:
Information for applying at Grenoble INP Graduate schools of Engineering and Management
If you need a visa to study in France, we strongly recommend you to apply by the end of April 2022.
Deadline for European and French students: May 15th, 2022.
Instructions for application to the CoDas Master's programme at Grenoble INP here.
Information for applying at Técnico Lisboa
Deadline is May 31th, 2022.
Instructions for application to the CoDas Master's programme at Técnico Lisboa here.
Information for applying at Aalto University
Aalto’s bachelor students can apply until June 15th, 2022.
Instructions for application to the CoDas Master's programme at Aalto here.
About Unite!
Alongside TU Darmstadt as the coordinator,Unite! (University Network for Innovation, Technology and Engineering) also includes Aalto University (Finland), KTH Royal Institute of Technology (Sweden), Grenoble Institute of Technology (France), Politecnico di Torino (Italy), Universitat Politècnica de Catalunya (Spain) and Universidade de Lisboa (Portugal).
The seven partner universities aim to use the European University to create a trans-European campus for students and researchers with the involvement of regions and companies. The partners have a total of 167,000 students, already cooperate closely in more than 80 EU projects and have exchanged more than 2,000 students in the past five years. The alliance has set itself the goal of combining courses for the benefit of students, breaking down existing technical and administrative hurdles, and thus significantly increasing student mobility. Research will also benefit from the conditions created for larger and easier cooperation, which will strengthen the competitiveness of the European Higher Education Area overall.
