Master of Science in Applied Mathematics for Network and Data Sciences
A practice-oriented Master's programme focusing on mathematical foundations for machine learning, cryptography, and network analysis.
Best for:Best for students with a strong background in mathematics seeking a practice-oriented career in data science, machine learning, or cryptography.
Overview
The Master of Science in Applied Mathematics for Network and Data Sciences at Mittweida University of Applied Sciences is a full-time, four-semester programme designed to equip students with advanced mathematical skills for modern technological fields. The curriculum emphasizes algorithmic approaches to machine learning, statistical data analysis, cryptography, and graph theory. Students engage in project-based learning and participate in active research areas such as stochastic processes and discrete mathematics. The programme includes a mandatory five-month research internship, providing students with practical experience in industry or academic settings before completing their Master's thesis.
What you'll do
- Complete core coursework in machine learning, cryptography, and advanced graph theory.
- Participate in research projects alongside faculty members.
- Undertake a mandatory five-month research internship in an industrial or academic environment.
- Develop and present mathematical models and algorithms through project work.
- Conduct independent research for the Master's thesis, culminating in a colloquium.
Requirements
Degree required: Bachelor's degree or diploma in mathematics (minimum six semesters) or an equivalent degree.
Degree offered: Master of Science
Language: English; B2 level (e.g., IELTS 6.0, TOEFL iBT 76, or UNIcert II).
Instruction: English
- Strong foundation in mathematical concepts and methods.
- Proficiency in English at B2 level or higher.
- Ability to demonstrate mathematical knowledge via a mandatory first-semester test.
- Hold a first professional university degree in mathematics or equivalent.
- Must pass a mathematical knowledge test during the first semester.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2025-05-15
International applicants must submit their application through the university's official portal. Ensure all required academic transcripts and language certificates are prepared according to the university's guidelines.
- Academic transcripts
- Bachelor's degree certificate
- English language proficiency certificate
- Self-disclosure form
Contact
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