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Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
Master's Programme in Computer Science

Learning outcomes

Upon completion of the Master's degree the student
- masters at least one sub-field in computer sciences in depth
- knows scientific thinking and can apply scientific working methods in his or her own field of specialization
- is motivated for life-long learning
- has the required skills and knowledge for post-graduate studies
- can apply newly acquired information and operate in international working situations
- can communicate in professional and scientific contexts
- knows the ethical norms in his or her specialization and can apply them in his or her work.

Studies in the Master's programme in Computer Science are divided into specializations. In addition to the general goals of the Master's programme, each specialization has its own goals. Below you can find the learning outcomes of each specialization

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Master's Programme in Computer Science

Advanced Studies in Master's Programme in Computer Science 80 ECTS
Advanced Studies in Computer Science 40– ECTS
TIETS02 Automata I, 5 ECTS
TIETS03 Automata II, 5 ECTS
TIETS14 Introduction to Formal Specification, 5 ECTS
TIETS13 Advanced Functional Programming, 10 ECTS
HTIS59 Information Visualization, 5–10 ECTS
TIETS26 Conceptual Modelling I, 5–10 ECTS
TIETS27 Conceptual Modelling II, 5–10 ECTS
TIETS28 Information Management: Textbook Examination, 5–10 ECTS
TIETS21 Master's Thesis Seminar, 1–5 ECTS
TIETS35 Qualitative research - methods and process, 5–10 ECTS
TIETS17 Requirements Engineering, 5 ECTS
TIETS19 Software Project Management, Theory and Practice, 10 ECTS
TIETS10 Artificial Intelligence Programming, 5–10 ECTS
TIETS24 Design Methods of Information Systems, 10 ECTS
TIETS12 Computer Graphics, 10 ECTS
TIETS25 Textbook Examination on Knowledge Management, 10 ECTS
TIETS36 Research project, 1–10 ECTS
TIETS32 XML retrieval and query languages, 5 ECTS
TIETS01 Algorithms, 5 ECTS
TIETS09 Algorithmic Problem Solving, 5 ECTS
TIETS40 Managing e-commerce; Consumers and Community Perspective, 5 ECTS
TIETS41 Managing industrial e-business and B2B, 5 ECTS
TIETS11 Data Mining, 5 ECTS
TIETS05 Digital Image Processing, 5 ECTS
TIETS31 Knowledge Discovery, 5–10 ECTS
TIETS39 Machine Learning Algorithms, 5 ECTS
TIETS07 Neurocomputing, 5 ECTS
TIETS34 Seminar (Computer Science), 5 ECTS
TIETS42 Databases and Information Retrieval Integration, 5 ECTS
TIETS43 Recommender Systems, 5 ECTS
TIETS44 Big Data Entity Resolution, 5 ECTS
TIETS46 Distributed Systems, 5 ECTS
TIETS33 Advanced Course in Computer Science, 1–10 ECTS
ITIS12 Language technology and information retrieval, 5 ECTS
ITIS13 Information retrieval methods, 5 ECTS
ITIS14 Web Science, 5 ECTS
Advanced Studies in CS, Computational Methods
TIETS01 Algorithms, 5 ECTS
TIETS02 Automata I, 5 ECTS
TIETS03 Automata II, 5 ECTS
TIETS21 Master's Thesis Seminar, 1–5 ECTS
TIETS07 Neurocomputing, 5 ECTS
HTIS59 Information Visualization, 5–10 ECTS
TIETS09 Algorithmic Problem Solving, 5 ECTS
TIETS11 Data Mining, 5 ECTS
TIETS39 Machine Learning Algorithms, 5 ECTS
TIETS10 Artificial Intelligence Programming, 5–10 ECTS
TIETS05 Digital Image Processing, 5 ECTS
TIETS31 Knowledge Discovery, 5–10 ECTS
TIETS12 Computer Graphics, 10 ECTS
TIETS43 Recommender Systems, 5 ECTS
Master's thesis 40 ECTS
TIETS37 M.Sc. Thesis, 40 ECTS
Optional Studies in Master's Programme in Computer Science 40 ECTS
TIEH0 Internship, 2–10 ECTS
Faculty of Natural Sciences
Degree Programmes