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Universität Heidelberg
Master English Mathematics & Natural Sciences

Mathematics of Machine Learning and Data Science

Master of Science (M.Sc.)

Universität Heidelberg Heidelberg · Baden-Württemberg

About the Program

The Master's program in Mathematics of Machine Learning and Data Science provides mathematical foundations of the research area 'Machine Learning and Data Science' through relevant teaching content in pure mathematics (topology, differential geometry, dynamic systems) and applied mathematics (statistics, optimization, numerics, functional analysis), which are necessary for understanding and further developing the methods. The program differs from the Master's program in Mathematics through its focus on the interaction of mathematical concepts and the research-oriented focus on Machine Learning and Data Science. The project work in the Data Science Lab trains the application of methods and teamwork. The study is structured into a ring lecture, specialized studies, Data Science Lab, interdisciplinary competencies, and a master's thesis. The specialized studies are divided into 5 areas with corresponding modules, of which 3 are mandatory: Geometric Methods for Machine Learning, High-dimensional Numerics, Partial Differential Equations and Measures, Statistical Learning and Empirical Process Theory, and Variational Methods and Numerical Optimization.
▶ Show the original English text
The Master's program in Mathematics of Machine Learning and Data Science provides mathematical foundations of the research area 'Machine Learning and Data Science' through relevant teaching content in pure mathematics (topology, differential geometry, dynamic systems) and applied mathematics (statistics, optimization, numerics, functional analysis), which are necessary for understanding and further developing the methods. The program differs from the Master's program in Mathematics through its focus on the interaction of mathematical concepts and the research-oriented focus on Machine Learning and Data Science. The project work in the Data Science Lab trains the application of methods and teamwork. The study is structured into a ring lecture, specialized studies, Data Science Lab, interdisciplinary competencies, and a master's thesis. The specialized studies are divided into 5 areas with corresponding modules, of which 3 are mandatory: Geometric Methods for Machine Learning, High-dimensional Numerics, Partial Differential Equations and Measures, Statistical Learning and Empirical Process Theory, and Variational Methods and Numerical Optimization.

Which Professions Does This Program Open Up?

Related profession searches from Bundesagentur für Arbeit (BERUFENET) data:

See Mathematics & Natural Sciences professions "Mathematics" "Data Science" "Machine Learning"
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Subjects / Topic Areas

Mathematics Data Science Machine Learning

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How do I apply to Mathematics of Machine Learning and Data Science at Universität Heidelberg?

Most international applicants apply via uni-assist (document verification + APS for some countries). Prepare your secondary/Bachelor diploma, transcripts, language certificate (DSH/TestDaF or IELTS/TOEFL), motivation letter and CV. Non-EU students also need a Sperrkonto (~11,904 EUR/year) for the visa.

  1. Check requirements — Verify your degree is recognised + meet language/grade thresholds.
  2. Get language certificate — TestDaF / DSH for German programmes, IELTS / TOEFL for English.
  3. Submit via uni-assist (non-EU) — Document review + APS if your country requires it (China, India, Pakistan, Vietnam, etc.).
  4. Apply directly or via uni portal — Some universities accept direct applications — check the official programme page.
  5. Open Sperrkonto + apply for visa — After admission, deposit 11,904 EUR, get health insurance, book embassy appointment.

Frequently Asked Questions

Quick answers about Mathematics of Machine Learning and Data Science at Universität Heidelberg

Is Mathematics of Machine Learning and Data Science at Universität Heidelberg taught in German or English? ▼

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Mathematics of Machine Learning and Data Science programme cost? ▼

161 EUR / semester. International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Mathematics of Machine Learning and Data Science at Universität Heidelberg? ▼

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline? ▼

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Mathematics of Machine Learning and Data Science? ▼

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Universität Heidelberg — directly or via uni-assist? ▼

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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