Technische Hochschule Mittelhessen

What you'll study

Early semesters provide foundations across mathematics, biology, chemistry, computer science and introductory bioinformatics. The programme lists specific modules with weekly hours (SWS) and credit points. Examples include:

• Semester 1: Programmieren 1, Theoretische Informatik 1, Mathematik 1, Chemie für Bioinformatik, Bioinformatik 1 (total ~30 CrP).
• Semester 2: Programmieren 2, Theoretische Informatik 2, Mathematik 2, Allgemeine Biologie, Bioinformatik 2 mit Projekt (total ~30 CrP).
• Semester 3: Algorithmen der Bioinformatik, Molekularbiologie, Statistik und Datenanalyse, plus Wahlpflichtmodule.
• Semester 4: Software Engineering: Konzepte und Methoden, Computational Biology, Biodatenanalyse, Biochemie für Bioinformatik, plus Wahlpflichtmodule.
• Semester 5: Software Engineering: Realisierung; Current Topics in Bioinformatics; Wahlpflichtmodule.
• Semester 6: Praxisphase (15 CrP) and Bachelorarbeit mit Kolloquium (15 CrP).

The programme includes a wide Wahlpflichtmodule (electives) catalogue covering topics such as Deep Learning on biological sequences; Data Science in Biology; Proteinkristallographie; Computer-assisted drug design; High Performance Computing; Machine Learning (and Advanced Topics); Natural Language Processing; databases, IT security, visualization and other computer science subjects. The detailed curriculum and module descriptions are in the programme's module handbook.

Entry requirements

The course language is German. Admission is zulassungsfrei: if you enrol in the official immatriculation periods and fulfil the university's enrolment requirements you are admitted. Immatriculation windows are given on the programme page; international applicants apply via uni-assist within stated application periods and may contact the International Office for further information.

Career prospects

Graduates can work in software development and application in areas such as the pharmaceutical industry or pursue scientific roles in research institutions. The strong computer-science component opens broader IT-related opportunities beyond life sciences. The programme emphasises practical skills so students gain hands-on experience relevant to industry and research.

Scholarships & funding angle (general)

Specific scholarships are not listed on the programme page. Prospective students should investigate university, state and national funding options, industry-sponsored scholarships in biotech/pharma, and mobility or research grants if planning an exchange or project abroad.