Master of Science in Data Science
A multidisciplinary Master's programme at the intersection of computer science, mathematics, and statistics.
Best for:Best for students with a strong background in computer science, mathematics, statistics, or economics seeking a multidisciplinary approach to data science.
Overview
The Master of Science in Data Science at Trier University is a comprehensive, multidisciplinary programme designed to equip students with the tools and methods necessary to analyze large datasets and derive actionable insights. Jointly taught by experts in computer science, mathematics, and statistics, the curriculum ensures a broad understanding of the field while allowing for specialization in areas such as algorithmic optimization, financial economics, and natural language processing. Students engage in propaedeutics courses, state-of-the-art e-learning, and a compulsory research project to apply scientific methods to real-world problems. The programme is designed to foster lifelong learning and adaptability, preparing graduates for diverse professional environments or future doctoral studies.
What you'll do
- Complete compulsory modules including advanced courses in Big Data Analytics and Statistical Methods.
- Select and complete elective modules within a chosen specialization track.
- Conduct a compulsory research project to apply scientific methods to real-world data problems.
- Participate in propaedeutics courses to bridge knowledge gaps from diverse academic backgrounds.
- Author a Master's thesis as the final requirement for the degree.
Requirements
Degree required: Bachelor's degree (at least 180 ECTS) in computer science, business informatics, economics, mathematics, or statistics.
Degree offered: Master of Science
Language: English; C1 level (e.g., IELTS 6.5, TOEFL iBT 80/95, or equivalent).
Instruction: English
- Academic proficiency in computer science, mathematics, statistics, or economics.
- English language proficiency at C1 level.
- Ability to engage with multidisciplinary course content.
- Bachelor's degree with a final grade of 1.7 or better (German system) in relevant subjects.
- Case-by-case evaluation for grades between 1.8 and 2.2 in relevant subjects.
- Case-by-case evaluation for grades between 1.5 and 1.9 in related subjects.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-05-31
Applicants must submit their application through the university's official online portal. A letter of motivation regarding the study programme is required as part of the application package.
- Bachelor's degree certificate
- Letter of motivation
- English language proficiency certificate
Contact
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