Communications Engineering and Data Science (CoDaS)

ERASMUS Mundus: Master of Science in Communications Engineering and Data Science (CoDaS)

Start your international career with the CoDaS degree programme!

What is CodaS?

CoDaS is an Erasmus Mundus Joint Masters (EMJM) programme, funded by the Erasmus+ Programme of the European Union. CoDaS is also one of the first degrees promoted by the European Programme University Network for Innovation, Technology and Engineering (Unite!). Unite! envisions a ‘European University’, in which University-hubs at excellent European institutes share resources and services in education, research, and management, thereby removing structural barriers and generating new frameworks for a European degree.

In this two-year master’s programme, students will study at least in two of the partner universities and in two countries, one year at both.

Why study CoDaS?

While studying CoDaS, students gain proficiency in...

project planning,
teamwork,
coordination,
entrepreneurship,
critical thinking,
and sustainability.

The program empowers students to be able to solve industry-relevant problems using cutting-edge tools in artificial intelligence, automation, control theory, data analytics, network security, wireless systems, distributed systems, and signal processing. Training includes designing and analyzing machine learning models and communication systems.

This skills portfolio is in demand on the international labour market.

For further information on the CoDaS programme check out the official CoDaS homepage following this link : https://www.unite-codas-master.eu/

Studierende arbeiten in Kleingruppen zusammen

First year

Basic studies common in all Consortium Universities:

General studies (languages, soft skills)
Mathematics/Programming/Security
Communications
Data Science

Second year

Specialization studies, specific to all Consortium Universities, and Thesis:

Communications, Data Science, and Security (Grenoble INP-UGA)
Communications and Data Science (Tecnico Lisboa)
Communications, Automation, and Machine Learning (Aalto University)
Communications, Machine Learning, Medical Informatics & Biomedicine (TU Braunschweig)
Communications, 5G/6G and Internet of Things, and Data Science (UPC BarcelonaTech)

For further information visit: https://www.unite-codas-master.eu/programme.html

Year	Area	Course	ECTS
1st year (entry year):	General Studies	Seminar Computer Science	5
	Communication	Computer Networks 2	5
	Communication	Mobile Communications	5
	Data Science	Introduction to Machine Learning	5
	Data Science	Pattern Recognition	5
	Mathematics and Algorithms	Student chooses from elective studies "Mathematics and Algorithms" list below	10
	Project Course	Project course "Communication Engineering and data Science Project"	5
	Electives - fulfil 60 credits	Student chooses from the elective studies "all" list below	14
	Spezialization (remote preparation for 2nd year)	Health-Enabling Technologies A	6
2nd year (exit year):	Communications	Recent Topics in Computer Networking	5
	Medical informatics and biomedicine	Biomedical Image and Signal Analysis	5
	Medical informatics and biomedicine	Network Biology	5
	MSc Thesis	MSc Thesis	30
	Electives - fulfil 60 credits	Student chooses from the list below	15

Subject to change
	Course	ECTS
Elective Studies "all" at TU Braunschweig
	Seminar Computer Science (for year 2; only possible if no other seminar has been taken before in year 1)	5
Elective Studies "Networking" at TU Braunschweig
	Practical Course Computer Networks	5
	Practical Course Computer Networks Administration	5
	Mobile Computing Lab	5
	Wireless Networking Lab	5
	Advanced Networking 1	5
	Advanced Networking 2	5
Elective studies “Data Science and Health” at TU Braunschweig
	Python Lab	5
	Computer Lab Pattern Recognition	5
	Health-Enabling Technologies B	5
Elective studies “Mathematics and Algorithms” at TU Braunschweig
	Mathematical Foundations of Data Science	10
	Computational Geometry	5
	Approximation Algorithms	5
	Online Algorithms	5
Elective studies “Data and Information” at TU Braunschweig
	Warehousing and Data Mining Techniques	5
	Information retrieval and web search engines	5
	Knowledge based systems and deductive database systems	5

Who can apply?

The Basic requirement to apply in master's admissions is a bachelor’s degree. Make sure that your bachelor's degree is equivalent to 180 ECTS credits or three years of full-time study and gives eligibility to apply for master’s degree studies at university in the awarding country. You also need a set of application documents that are listed on the CoDaS-Homepage linked below.

Applicants can apply for the available scholarships when they apply to the CoDaS programme. Further information can be found here: www.unite-codas-master.eu/scholarship.html

How to apply?

The application consists of an electronic application form and a set of required application documents. On the CoDaS-Homepage you will find detailled instructions on how to apply and selection criteria to resess your suitability.

Further information can be found following this link: https://www.unite-codas-master.eu/admission.html#apply

Local contact information

Below you will find the contact information of the key personnel working with CoDaS at TU Braunschweig.

For any questions regarding admission to the programme, scholarships, fees, insurance etc. please contact the coordinating University, Aalto University, School of Electrical Engineering. codas(at)aalto.fi

TU Braunschweig – local admission and support: Marvin Plagge, international-fk1(at)tu-braunschweig.de

Communications Engineering and Data Science (CoDaS)

ERASMUS Mundus: Master of Science in Communications Engineering and Data Science (CoDaS)

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