Master Data Science (2026) - Interactive curriculae of TU Ilmenau

The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.

Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).

You can find all details on planned lectures and classes in the course catalogue.

Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.

This curriculum is planned for 4 semesters and a total of 120 credit points.

	1. Sem			2. Sem			3. Sem			4. Sem			exam	CP
module	L	E	P	L	E	P	L	E	P	L	E	P	exam	CP
Mandatory Studies														40
Advanced Deep Learning				2	2	0							PL	5
Causal Inference				2	2	0							sPL 120 min	5
Cloud Computing				3	1	0							PL	5
Research Skills	0	2	0										SL	5
Bayesian Data Assimilation	4	2	0										sPL 120 min	10
Sequential Decision Making	2	2	0										sPL 120 min	5
Theoretical Foundations of Data Management	2	2	0										mPL 30 min	5
Advanced Studies														25
Advanced Computer Graphics				2	2	0							aPL	5
System Security				3	1	0							sPL 90 min	5
The Probabilistic Method				2	1	0							mPL 30 min	5
Time Series Analysis				2	1	0							mPL 30 min	5
Virtual and Augmented Reality (VR/AR)				2	1	1							aPL	5
Advanced Computer Architectures							3	0	0				mPL 30 min	5
Advanced Distributed Systems							3	1	0				mPL 30 min	5
Communication Networks							4	2	0				PL	10
Global Optimization							4	2	0				mPL 30 min	10
Modelreduction							2	1	0				mPL 30 min	5
Quantum Computing for Engineers							2	2	0				aPL	5
Security in Embedded Systems							2	2	0				sPL 90 min	5
Stochastic Processes							4	2	0				mPL 30 min	10
	1. Sem			2. Sem			3. Sem			4. Sem			exam	CP
module	L	E	P	L	E	P	L	E	P	L	E	P	exam	CP
Individual Studies														20
Master Seminar Data Science				0	2	0							aPL	5
Research Project Data Science							450 h						aPL 450 min	15
Softskills														5
Final Thesis														30
Master´s Thesis with Colloquium										900 h			PL	30

Legend

Kind of examination
Sem	semester
L	lecture
E	exercise course
P	practical exercise
CP	credit points
PL	examination performance
SL	pass-fail certificate (Grading according to curriculum)
BA	bachelor thesis
MA	master thesis
DA	diploma thesis
Form of examination
a	alternative
e	electronic
k	Kolloquium
m	oral
p	practical examination with pass/fail certificate
s	written
MC	multiple choice