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Master in Information and Computer Sciences

The first semester is an orientation semester with a set of common courses for all students that establish a firm foundation for more specialised courses.

In semesters 2 and 3 she/he chooses 4 courses from the selected track and two more courses from other tracks.

In the semester 4, the student writes a master thesis, usually in the context of a research project. A cooperation with industry is possible for the master thesis.
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Download complete course description

Semester 1 (Winter 2021-2022)

Lecture (hours)Exercise (hours)ECTS
TOTAL (mandatory / optional) 0 / 0 0 / 0 0 / 0
Basic Algebraic Structures
[MICS2-5] 		Module 1.1 - Theoretical Foundations30 15 3
Foundations of Computing
[MICS2-6] 		Module 1.1 - Theoretical Foundations30 3
Communication Theory
[MICS2-7] 		Module 1.2 - Communication and Networking30 3
Networking
[MICS2-8] 		Module 1.2 - Communication and Networking30 3
Distributed Systems
[MICS2-2] 		Module 1.3 - Distributed Systems30 3
Intelligent Systems - Agents and Reasoning
[MICS2-36] 		Module 1.4 - Intelligent and Adaptive Systems30 3
Intelligent Systems - Information Retrieval and Learning
[MICS2-37] 		Module 1.4 - Intelligent and Adaptive Systems30 3
Intelligent Systems - Problem Solving
[MICS2-38] 		Module 1.4 - Intelligent and Adaptive Systems20 10 3
Information Security Basics
[MICS2-3] 		Module 1.5 - Information Security Basics30 3
Reliable software-intensive systems
[MICS2-47] 		Module 1.6 - Reliable software-intensive systems22 8 3

Semester 2 (Summer 2020-2021)

Lecture (hours)Exercise (hours)ECTS
TOTAL (mandatory / optional) 0 / 0 0 / 0 0 / 0
Principles of Software Development
[MICS2-50]   (optional)		 Module 2.145 5
Algorithms for Numbers and Public-Key Cryptography
[MICS2-14]   (optional)		 Module 2.245 5
Formal Methods
[MICS2-22]   (optional)		 Module 2.445 5
Big Data Analytics
[MICS2-41]   (optional)		 Module 2.530 30 5
Information Theory and Coding
[MICS2-20]   (optional)		 Module 2.645 5
Intelligent Agents I
[MICS2-21]   (optional)		 Module 2.745 14 5
Knowledge Discovery and Data Mining
[MICS2-13]   (optional)		 Module 2.830 15 5
Computational Complexity Theory
[MICS2-51]   (optional)		 Module 2.1045 5
Optimisation for Computer Science
[MICS2-17]   (optional)		 Module 2.1145 5
Principles of Security Engineering
[MICS2-24]   (optional)		 Module 2.1245 5
Quality of Service in Computer Networks
[MICS2-23]   (optional)		 Module 2.1345 5
Symmetric Key Cryptography and Security of Communications
[MICS2-12]   (optional)		 Module 2.1445 5
Introduction to Static Program Analysis
[MICS2-40]   (optional)		 Module 2.1545 5
Software Vulnerabilities: Exploitation and Mitigation
[MICS2-44]   (optional)		 Module 2.1645 5
Virtual and Augmented Reality
[MICS2-52]   (optional)		 Module 2.1745 5

Semester 3 (Winter 2021-2022)

Lecture (hours)Exercise (hours)ECTS
TOTAL (mandatory / optional) 0 / 0 0 / 0 0 / 0
Intellectual Property
[MICS-COMMSYST-022] 		Module 3.130 3
Advanced Project Management
[MICS-COMMSYST-027] 		Module 3.230 3
Cryptocurrencies and the Cryptographic Blockchain
[MICS2-42]   (optional)		 Module 3.530 4
Coding theory
[MICS-COMMSYST-023] 		Module 3.630 4
Autonomous Robot Software
[MICS2-31]   (optional)		 Module 3.830 4
Intelligent Agents II
[MICS-47]   (optional)		 Module 3.930 4
Machine Learning
[MICS-39]   (optional)		 Module 3.1030 4
Model-Driven Software Development
[MICS-32]   (optional)		 Module 3.1230 4
Selected Topics in Network and System Security
[MICS-COMMSYST-025]   (optional)		 Module 3.1330 4
Open Network Security
[MICS-41]   (optional)		 Module 3.1430 4
Parallel and Grid Computing
[MICS-COMMSYST-024]   (optional)		 Module 3.1516 30 4
Security Modelling
[MICS2-29]   (optional)		 Module 3.1630 4
Security Protocols
[MICS-SECURTRUST-014]   (optional)		 Module 3.1724 6 4
Selected topics in Artificial Intelligence
[MICS-IAS-024]   (optional)		 Module 3.1830 4
Software Engineering Environments
[MICS2-33]   (optional)		 Module 3.1910 20 4
Testing and Validation
[MICS-43]   (optional)		 Module 3.2126 4 4
Computer Vision and Image Analysis
[MICS2-46]   (optional)		 Module 3.2430 4
Connected and Autonomous Vehicles
[MICS2-48]   (optional)		 Module 3.2530 4
Fundamentals of causal learning
[MICS2-49]   (optional)		 Module 3.2630 4

Semester 4 (Summer 2020-2021)

Lecture (hours)Exercise (hours)ECTS
TOTAL (mandatory / optional) 0 / 0 0 / 0 0 / 0
Master thesis
[MICS2-30] 		Module 4.1 30