Data Science and Artificial Intelligence (Bachelor) (WS 26/27)
Workshops at hobit contact
Photonics and Machine Vision
- 9:00 a.m.: Machine vision and recognition
- 9:45 a.m.: Experience photonics
- 10:45 a.m.: 3D view into the body
NEW! Analytics in Business and Financial Markets
- 9:00 a.m.: Simulating stock market prices - understanding randomness in price and return dynamics
NEW! Data Science and Artificial Intelligence
- 9:45 am: What happens under the hood of Chat GPT?
NEW! Computational Mathematics
- 10:45 am: Standing on your head with mathematics!
Meeting point for all offers:
Schöfferstraße 3, Building C10, booth of the Department of Mathematics and Natural Sciences in the glass box
Full steam ahead into the AI age
The Data Science degree program combines computer science, applied mathematics and modern data analysis and thus the principles of artificial intelligence. This opens up excellent career opportunities in data-intensive professional fields such as IT, industry, healthcare and marketing, as well as numerous other sectors. Practical content, state-of-the-art technologies and dedicated teaching staff ensure that you are optimally prepared for a successful career in the field of data science right from the start.
Degree | Bachelor of Science (B.Sc.) |
Standard duration of study | 6 semesters |
Start | for the first time in the winter semester 2026/27 |
Application deadline | on September 1 (more about the application process at h-da.de) |
Admission | No admission restrictions, NC-free degree course. Admission requirements include general higher education entrance qualification, subject-specific higher education entrance qualification, entrance qualification for universities of applied sciences. Information on vocational qualifications can be found under Study without Abi |
Language | German |
| Location | Darmstadt University of Applied Sciences, Schöfferstraße 3, Darmstadt |
Dual | a dual study option is expected to be possible from winter semester 2027 / 28 |
- Interdisciplinary and in demand:
Combination of computer science, applied mathematics & data analysis - Best career preparation:
Practical project, work placement & company cooperation - Future-oriented:
Ideal for data-intensive professions with growing demand - Flexible:
Easy transfer to the Computational Mathematics and Analytics in Business & Financial Markets degree programs up to the third semester - Several options for a Master's degree at h_da, e.g. Data Science
The career prospects for data science graduates are excellent: data competence is one of the most sought-after skills of the future. Companies in all sectors are looking for experts who can translate complex data into well-founded decisions. High demand, attractive salaries and diverse development opportunities make data science one of the most dynamic career fields of our time.
With a degree in data science, you will become a designer of data-intensive solutions - someone who turns information into well-founded strategies and innovations. This opens up a wide range of career paths in many different areas:
Industry
AI engineer:
- Analysis of machine data to identify maintenance requirements and efficiency potential at an early stage (predictive maintenance)
- Use of statistical methods and AI to monitor and continuously improve production quality
- Linking sensor data from devices and systems and developing data-based control models for intelligent production systems
Research
Research Data Scientist:
- Development of new methods of data analysis, research on AI processes and collaboration on scientific publications and research projects
- Application of data science methods to physical, biological or technical research questions, often in interdisciplinary teams
- Investigating complex questions on neural networks, machine learning and ethical AI and developing prototypes for innovative applications
Consulting
Data Science / AI Consultant:
- Advising companies on the use of data and artificial intelligence to optimize business processes and decision-making
- Planning and supporting data-intensive digital strategies by integrating data science into business processes
- Supporting companies in the introduction of data-based innovation projects and organizing corresponding implementation processes
Practical relevance and our cooperation networks as a booster for your career start.
- Practical projects during your studies
- (Dual) cooperation with companies
- Practical semesters and/or final theses in companies
- Guest lectures, excursions, company visits
More about our cooperation partners
In the standard study program, the 5th semester was designated as a potential semester abroad (window of mobility).
- Darmstadt University of Applied Sciences (h_da) is one of 9 European universities of the European University of Technology (EUT+). As this university network grows together, there are more and more opportunities for uncomplicated exchanges.
- In addition, the Erasmus+ program of the European Union encourages students to study in another European country.
- There are over 250 partner universities worldwide at which students can study as part of the h_da Exchange Program from the 3rd semester onwards.
- In preparation, the Language Center offers numerous language courses at different levels.
- The International Office offers more support in preparing for an exchange.
What documents are required?
Applications are submitted via the application process at h_da. Please note that all necessary documents must be submitted with your application. Preparing these takes time. You should therefore start at least four weeks before the application deadline.
Checklist:
- University entrance qualification (degree certificate)
- Curriculum vitae in tabular form
- Proof of health insurance
- Further documents if necessary (e.g. residence permit, language certificates)
Further tips & information:
- You can find help with finding accommodation here.
- The semester fee includes a Deutschlandticket and Call-a-Bike.
We look forward to hearing from you
- Head of degree program / subject advisor at the MN department: Prof. Dr. Timo Schürg(timo.schuerg@h-da.de)
- Central Student Advisory Service of the h_da