Data Science (B.Sc.)
Do you enjoy math and problem-solving and are you looking for a practice-oriented degree program?
Then our bachelor program in Data Science might be just right for you! The program is one of the newest offerings at THA and perfectly prepares you for a career as a data scientist, business analyst, or data analyst.
Program Profile and Content
Do you enjoy mathematics, statistics, programming, communication, and data visualization? Are you interested in solving problems and analyzing large amounts of data?
The Data Science program at the Technical University of Applied Sciences Augsburg prepares you to analyze complex data. Using methods from mathematics, computer science, and project management, you’ll create a clear basis for decision-making for stakeholders in companies and organizations. Thanks to your multidisciplinary skill set, you’ll serve as a key liaison across all areas of a company. Our program offers a strong practical focus and intensive support from our faculty team in small learning groups.
If you’re interested in what typical worksheets in the math lectures during the first two semesters look like, feel free to check them out!
Is the Data Science program also offered as a dual program?
Would you like to combine theory and practice? In our dual-track Work and Study Program, you’ll gain professional experience at a company while you’re still in school and apply your knowledge directly to real-world projects. We’d be happy to advise you on the options available in the Data Science program.
Although we do not offer a dual degree program for accreditation purposes, our Work and Study Program likely meets exactly what you’d expect from a dual degree program.
→ Click here to learn more about our Work and Study Program.
Downloads
Study Plan
| Semester / CP1 | Total | |||||
|---|---|---|---|---|---|---|
| 1 | Fundamentals of Computer Science (5 CP) | Data Analytics (5 CP) | Linear Algebra (8 CP) | Analysis 1 (8 CP) | Communication, Philosophy of Science, and Research Methods (5 CP) | 31 |
| 2 | Databases and Data Management (5 CP) | Object-Oriented Programming (5 CP) | Machine Learning 1 (7 CP) | Analysis 2 (8 CP) | English for Data Science (5 CP) | 30 |
| 3 | Business Intelligence (8 credits) | Digital Storytelling (5 credits) | Descriptive Statistics and Stochastics (8 CP) | Advanced Methodology 1 (8 CP) | 29 | |
| 4 | Neural Networks and Deep Learning (5 CP) | Machine Learning 2 (5 CP) | Inductive Statistics (10 CP) | Advanced Domain Knowledge (5 CP) | Elective Modules 1 (4 CP) | 29 |
| 5 | Data Science Project (10 CP) | Statistical Models (10 CP) | Advanced Methodology 2 (8 CP) | Elective Modules 2 (2 CP) | 30 | |
| 6 | Accompanying Seminar for the Internship Semester (5 CP) | Practicum Semester (25 CP) | 30 | |||
| 7 | Ethics, Law, and Safety (5 CP) | Elective Modules 3 (5 CP) | Advanced Methodology 3 (6 CP) | Bachelor’s Seminar (3 CP) | Bachelor’s Thesis (12 CP) | 31 |
Want to learn more about the program? Click here!
Curious about data science? Listen now!
In our podcast from the English for Data Science module, students share exciting insights into the program, current topics, and career prospects! Here you’ll find all the episodes to listen to on the topic of data science.
Interested in data science? Hit play!
Check out our YouTube channel to discover what data science is really like in academia and in the real world.
Augsburg University of Applied Sciences offers you an extensive network of partner universities and a wide range of opportunities for studying or completing an internship abroad. A stay at one of our partner universities will not only expand your academic and language skills but also broaden your intercultural experience.
Important: Plan
Early If you’re planning a stay abroad, you should start making preparations at least one year in advance.
Our International Office will be happy to assist you with planning and the application process. If you have any questions regarding the content of the data science courses, Prof. Dr. Tobias Rossmann is available to assist you.
Take advantage of this opportunity to gain valuable international experience and enrich your studies with a global perspective!
→ You can find a testimonial from a data science student from the Winter Semester 24/25 here.
Experience-Report-University-of-Oklahoma.pdf (106.0 KB)
International Opportunities on Campus
The Center for Languages and Intercultural Communication offers numerous courses in its program that cover foreign languages and (inter)cultural knowledge. This allows you to improve your language skills and expand your international competencies right here at the university.
→ Center for Languages and Intercultural Communication (ZSI)
BAZI has been maintained at the Technical University of Applied Sciences Augsburg since July 2024 under the direction of Professor Dr. Wolfgang Bischof. The program was developed at the University of Augsburg under the direction of Prof. Dr. Friedrich Pukelsheim.
BAZI is a Java program that... (continue reading on the BAZI homepage)
The Data Science degree program has been officially accredited through March 14, 2032.
The accreditation confirms that the program meets the quality requirements for academic studies and teaching.
Here you will find the academic regulations and examination guidelines
Is this degree program right for me?
Interests and strengths that will help you in college
- Interest in data, digital technologies, and their application in business, society, and research
- Enjoyment of analytically examining complex issues and developing solutions
- Curiosity about patterns, correlations, and insights hidden within data
- An interest in mathematics, statistics, and logical thinking
- Enthusiasm for modern technologies such as artificial intelligence, machine learning, and big data
- Motivation to understand and actively help shape data-driven decisions
- Openness to interdisciplinary work at the intersection of computer science, business, and science
- An interest in combining theory and practice
- Enjoyment of teamwork and the collaborative development of innovative solutions
- Willingness to continuously develop your skills by engaging with new technologies and methods
Ideally, you should have the following:
- Analytical and structured thinking skills
- Interest in mathematics, statistics, and computer science
- Enjoyment of working with data and digital technologies
- Problem-solving skills and a curiosity about new questions
- Motivation to understand complex relationships and present them clearly
- A meticulous and independent work style
- Openness to interdisciplinary perspectives
- A willingness to learn and an interest in technical innovation
Formal Requirements
This degree program is intended for:
- Prospective students with a high school diploma or equivalent qualification (e.g., Abitur, Fachhochschulreife, or comparable qualification)
- Individuals with an interest in mathematics, computer science, and data-driven problems
- Working professionals and career changers who meet the respective admission requirements and wish to expand their skills in the field of data science
Do you still have questions?
Our Student Advising Office has all the answers you need!
We take the time to provide you with personalized advice, with no obligation.
Your perspective afterward
Career prospects for data scientists are excellent now and will remain so in the coming years. The job market is in high demand for highly qualified professionals who
- have a solid foundation in mathematics and statistics,
- can use software to collect, process, and analyze data, and have a firm grasp of both the fundamentals and the practical application of machine learning and statistical learning methods.
Our graduates can work as data scientists, business analysts, or data analysts in nearly all industries and many areas of business—for example, in consulting, auditing, market research, manufacturing, insurance, banking, and IT companies, as well as in the public sector and applied research.
Our program is actively networked with regional companies operating in various industries (data science, IT, insurance, management consulting, the internet, and mechanical engineering). These industry contacts are available to our students and graduates to support their career development. You can find the list of our partner companies here.
Actuarial Training Following College Graduation
Actuaries analyze risks and develop data-driven models for insurance and financial companies.
You’ll acquire the necessary skills in statistics, mathematics, and data analysis during your bachelor program in Data Science. Through our partnership with the German Actuarial Association (DAV), selected coursework can be credited toward the “DAV Actuary” certification. This allows you to lay a solid foundation for a career in risk and financial management while you’re still in school.
For more information, visit aktuar.de/de/ueber-uns/qualifizierung/dav-ausbildung/
If you’re interested, we’d be happy to advise you.
Your Application
Be sure to check this out—the THA's basic information on the application process
Additional university-wide information on the application process
If you want to find out whether your expectations and ours regarding the data science program align, take this self-assessment.
Formal requirements:
High school diploma
or equivalent; proof of German language proficiency (DSF or TestDaF) if required
Data Science (B.Sc.) is a program with no minimum admission requirements, and you can enroll through the Augsburg University of Applied Sciences application portal (application period: May 2–July 15).
Please apply even if you do not yet have your high school diploma. The deadline for submitting your high school diploma (HZB) is August 31. Please upload your high school diploma to the HISinOne application portal as soon as you receive it.
In general, you can transfer to Augsburg University of Applied Sciences starting in the second semester and at any time thereafter. However, the best time to transfer also depends on your specific semester.
Click here for the most important information.