MSc in Artificial Intelligence and Data Science
Deggendorf, Germany
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
01 Nov 2025*
EARLIEST START DATE
Mar 2026
TUITION FEES
EUR 82 / per semester **
STUDY FORMAT
On-Campus
* Application period: 1 October until 1 November
** student union fee | additional fees may apply, please read below for more details
Introduction
Just as electricity brought about far-reaching changes over 100 years ago, artificial intelligence (AI) has fundamentally started to change our lives. AI is the next phase of the industrial revolution and has established itself firmly in our society. Almost all branches of industry have been affected by the ongoing transformation through its algorithms.
The Master of Artificial Intelligence and Data Science course addresses this transformation by providing you as a student with the broad and in-depth skills required to work with and develop AI. You will be trained how to obtain, process and store enormous amounts of data, which is the root of AI and development processes.
Unique to master programmes in this field is the integrated internship that you are required to complete, providing you with invaluable work experience in your chosen field.
In addition, this course of studies strengthens EU goals of cooperative learning, research and teaching. Due to the cross-border nature of the course, its embeddedness in regional high-tech companies and its international character, you will not only gain expertise and practice in this sector but also benefit from a diverse and multicultural student community that will promote your intercultural skills and provide a solid foundation for innovative thinking.
Admissions
Curriculum
Course Fact Sheet
- Degree: Master of Science (M.Sc.)/ Master - A joint degree from DIT and the University of South Bohemia (USB).
- Duration: 4 semesters (2 years) - If applicable, you can have a semester of practical training from your Bachelor's degree recognised.
- Start and Location:
- March (summer semester at DIT)
- September (winter semester at University of South Bohemia)
- March (summer semester at DIT)
- September (winter semester at University of South Bohemia)
- Course language: 100% English
- Course highlights:
- A joint degree program, with a min. of 1 compulsory semester in South Bohemia (Ceske Budejovice/Budweis), Czech Republic
- Compulsory internship
- A joint degree program, with a min. of 1 compulsory semester in South Bohemia (Ceske Budejovice/Budweis), Czech Republic
- Compulsory internship
Subject Overview
Overview of lectures and courses, SWS (Semesterwochenstunden = weekly hours/semester) and ECTS (European Credit Transfer and Accumulation System) in the Bachelor's degree Applied Computer Sciences.
| Semester 1 | SWS | ECTS |
| Artificial Intelligence and Software Development | 4 | 5 |
| Theoretical Fundamentals of Artificial Intelligence | 6 | 8 |
| Advanced Machine Learning | 4 | 5 |
| Elective 1* | 4 | 5 |
| Elective 2* | 4 | 5 |
| German or Czech | 2 | 2 |
| Semester 2 (at the University of South Bohemia) | SWS | ECTS |
| Information Theory | 3 | 4 |
| Mathematics for Artificial Intelligence and Data Science | 4 | 6 |
| Computational Intelligence | 3 | 4 |
| Feature Engineering for Data Science | 3 | 4 |
| Advanced Data Storage and Analyses | 4 | 6 |
| Parellel Programming and Computing | 3 | 4 |
| German or Czech | 2 | 2 |
| Semester 3 | SWS | ECTS |
| Internship | - | 20 |
| Elective 3* | 4 | 5 |
| Elective 4* | 4 | 5 |
| Semester 4 | SWS | ECTS |
| Advanced topics in AI | 4 | 5 |
| Master seminar | - | 5 |
| Master thesis | - | 20 |
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| *All 4 electives must be chosen in consultation with the MAID study coordinator. Electives must have relevance for AI and/or data science |
Scholarships and Funding
There are several opportunities to partially finance your studies through a scholarship, particuarly if you are an ambitious or talented student. However, please be informed that we only give scholarships to students who already have studied at DIT at least one semester. The grades students achieve here at DIT as well as extracurricular activities are relevant and considered during the evaluation of the eligibility for scholarships.
Program Tuition Fee
Gallery
Career Opportunities
- Software engineer - AI specialist
- System architect - AI specialist
- Machine learning engineer
- Machine learning researcher
- Data scientist
- Data analyst
- Software and systems designer
- IT manager
- Researcher
- Software developer
- Software Analyst
- Business Intelligence (BI) developer
- Business Intelligence (BI) officer
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.