Applied Data Science

In the first two semesters, you will learn all the necessary fundamentals for your studies, such as programming, mathematics, and theoretical computer science. You will also become familiar with data science methods, as well as project-oriented applications and areas of application.

In the following semesters, you will delve particularly into machine learning and deep learning as key methods of modern AI. Alongside numerous courses in data science, you will take interdisciplinary modules from an elective catalog, such as those on time management, diversity, or conflict management, and learn the fundamentals of academic writing. To prepare you for the fact that English is often the working language, selected modules will be taught in English.

Furthermore, you choose modules from a focus area (Biology, Engineering, Humanities, Computer Science, Economics). You have the option of choosing a focus area that will later be shown on your certificate, or studying without a specific focus area and exploring several focus areas as you wish.

During the final phase of your studies, you can complete your practical phase in a company and thus gain insights into real working life even before your actual graduation.

The program is designed so that the 5th semester can be completed as a mobility semester, meaning you can easily complete the modules of the 5th semester during a semester abroad

The detailed study program with Electivemodules can be found in the module handbook.

Biomedical research laboratories generate vast amounts of data daily. However, this data alone does not lead to new insights unless it is systematically analyzed, understood, and interpreted. This specialization focuses on the analysis of biological data to support researchers in biology in generating new knowledge.

The Engineering focus area combines data science methods with engineering applications. The emphasis is on the analysis, modeling, and optimization of technical systems, as well as the development of practical, data-driven solutions.

Application areas include embedded systems, cyber-physical systems, computer simulation, computer vision, assistance systems, and robotics. The program teaches methods of artificial intelligence, signal processing for analyzing sensor data, and data-driven system optimization, applying them to real-world engineering problems.

The humanities focus on people, their interactions, and their cultural works. For data scientists, this means analyzing data generated by human activity: texts, audio and video, surveys, or social networks. This specialization combines artificial intelligence methods with questions from the humanities.

Computer science is everywhere – it's in smartphones, cars, medicine, and virtually every aspect of daily life. Computer scientists develop such applications by analyzing requirements, designing solutions, and programming them. The focus here is on the fundamentals of computer science, software development, and advanced topics such as IT security, web applications, and cloud computing.

Understanding economic relationships and acting in a data-driven manner are crucial factors for the strategic direction of companies today. It is essential to analyze past developments using internal and external company data with appropriate analytical methods, derive reliable forecasts for the future, and proactively develop suitable business measures based on these insights.

If you don't want to commit to a specific focus, you can study without a fixed specialization and freely combine modules from all five areas of focus. This allows you to tailor your studies to your individual interests.

As an Applied Data Scientist, you have a solid scientific foundation in the areas of programming, mathematics, theoretical computer science, application focus areas, as well as in methods of AI and data analysis.

They have excellent career prospects: Data scientists are in demand in numerous professional fields, as hardly any area can function without data today. Whether in the software and IT industry, mechanical and automotive engineering, consulting and finance, research and development institutions, the healthcare sector, or social and cultural organizations – digitalization makes data scientists indispensable in almost all industries and application areas.

Specific job examples that the degree prepares students for include:

Data Scientist/Data Analyst: prepares data, develops models, analyzes large datasets, visualizes results and supports data-driven decisions.

Consultant for Data & AI: advises companies strategically on the use of data and artificial intelligence.

AI Specialist: works on deep learning models, natural language processing systems, or computer vision solutions.

degree

Bachelor (B.Sc.)

Standard period of study

6 semesters

Accreditation

ASIIN Düsseldorf

Study options

Full-time studies

Main language of instruction

German

Study location

Giessen

Cost

Semester fee

Admission mode

The course is open admission. You only need to enroll within the respective deadline and meet the enrollment requirements to secure a place.

Start of studies

Winter and summer semesters

Bridge courses

Before the start of lectures, THM one-week bridging courses in subjects including mathematics, physics, programming, and chemistry. First-year students can use these courses to refresh their prior knowledge and fill any gaps.

Enrollment period

June 1st to September 20th (winter semester)
December 1st to March 20th (summer semester)

Application period for international students

Applications are accepted via uni-assist from April 1st to July 15th (winter semester) and from October 1st to January 15th (summer semester)
Further information for international applicants is available from the International Office.

matriculation

Continue to enrollment