Data Science
At a glance
Academic degree
Master of Science (M.Sc.)
Form of study
Consecutive full-time Master’s degree
Standard period of study
3 semesters (incl. Master’s thesis), 90 ECTS, extension to 5 semesters possible
Place of study
Language of instruction
German and English
Start of studies
Winter semester (October 01);
Summer semester (March 15)
Admission requirements
- University degree or other equivalent degree with at least 14 ECTS in mathematics/statistics and 14 ECTS in computer science
- Generally 210 ECTS including a practical semester; for degrees with 180 ECTS, missing ECTS in theory or practice can be made up before the start of studies or within one year after the start of studies. Recognition is possible.
- German and English language level B2
- You can find more information in the study and examination regulations
- For international applicants: all information about the application including an overview of the required language certificates here
Costs
Semester fee (incl. semester ticket)
Semester abroad
Possible as a theoretical or practical semester
Studying with a practice partner
On request as a degree course with in-depth practical experience (PraxisPlus)
Accreditation
is accredited
Registration
from May 2 – September 30 (for the winter semester)
from November 15 – March 14 (for the summer semester)
Profile of the Master's program
This Master’s degree program gives you, as a Bachelor’s graduate from various fields, the chance to expand your knowledge in areas such as mechanical engineering or automation technology with modern IT skills. Data science is about gaining valuable knowledge from data and deriving meaningful recommendations for action. This skill is becoming increasingly important, especially in the digital world, where IT has long been more than just support for business processes – it is part of the products and business models themselves. Your success depends more and more on how well you can analyze and use data. If you find technology, mathematics and data analysis exciting, additional training in data science could be just the thing for you. This Master’s degree will not only qualify you for management roles, but also for scientific activities in research and development.
What we value
Study internationally
Students at Coburg University of Applied Sciences have the opportunity to complete a study or practical semester abroad. Coburg University of Applied Sciences maintains relationships with foreign partner universities for this purpose.
Further information is available from the university’s Study Abroad service.
Combination of research and practice
In research, Master’s students can participate in ongoing research projects. We have contacts and joint projects with many small and large companies in Bavaria and beyond. The focus project in the second semester is precisely about implementing a data-driven project from practice.
Specialists for the data-driven world
The Master’s degree program in Data Science at Coburg University of Applied Sciences prepares specialists for the challenges of a data-driven world and opens up attractive career options. There is a high demand for data scientists who can analyze large amounts of data and support business decisions. The program offers diverse career opportunities and enables professional growth, especially for professionals with an industry-specific background. Working as a data scientist is challenging and interesting, requiring critical thinking and creativity. Data science plays a growing role in everyday life and offers attractive salaries.
Course content and schedule
The Master’s degree program in Data Science at Coburg University of Applied Sciences offers intensive supervision and small groups of students with different backgrounds. It includes practically relevant and scientifically sound topics as well as numerous opportunities for project work and Master’s theses.
Core contents:
- Computer science basics: tools and programming for data science, data management, big data and cloud computing
- Mathematics and statistics: mathematics, multivariate statistics, visualization
- Specialization: Data Mining, Deep Learning
- Application: Seminar and project work
- Reflection: Ethics of AI, privacy and data protection, digital transformation
Procedure:
- Individual mentoring: “Interdisciplinary perspectives and study planning” module to support study and career planning
- First two semesters: academic modules, project work, interdisciplinary modules
- Third semester: Master’s thesis
The module handbook provides information on the content of the individual modules. The study and examination regulations form the legal basis of the degree program. Questions about the content of the degree course will be answered by the course director Prof. Dr. Thomas Wieland.
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More InformationDo your doctorate now!
After successfully completing your Master’s degree, you can further deepen your knowledge with a doctorate at Coburg University of Applied Sciences.
