Statistics (M.Sc.) - Uni4edu

Statistics (M.Sc.)

Humboldt University of Berlin, Germany

700 € / years

Master's & Postgraduate24 months
Humboldt University of Berlin historic main building on Unter den Linden street, neoclassical architecture with columns, students walking in front, Berlin cityscape in background, autumn atmosphere
Master

Master of Science in Statistics

Humboldt University of Berlin

Statistics

Duration2 Years (4 Semesters)
LanguageEnglish & German
FormatFull-time
Credits120 ECTS

Program Overview: M.Sc. Statistics at Humboldt University of Berlin

The Master of Science in Statistics at Humboldt University of Berlin is an interdisciplinary joint degree program offered in collaboration with Freie Universität Berlin, Technische Universität Berlin, and Charité-Universitätsmedizin Berlin. This unique consortium structure gives you access to a broad range of faculty expertise and research facilities across four leading Berlin institutions.

The program comprises 120 ECTS credits over four semesters and provides rigorous training in probability theory, mathematical statistics, stochastic processes, and time series analysis. In 2025, the program was recognised as a Berlin University Alliance (BUA) Joint Degree program, a distinction reserved for research-oriented, cooperative study programs of global significance.

Most courses are taught in English, with some compulsory modules offered in German. The curriculum is designed for graduates with a quantitative background and prepares you for careers in data-driven industries, research, and academia.

Key Program Highlights

  • Joint degree program across four prestigious Berlin institutions within the Berlin University Alliance
  • Recognised as a BUA Joint Degree program in 2025 for its research orientation and international significance
  • Interdisciplinary curriculum combining mathematical statistics, applied methods, and domain-specific applications
  • Access to Berlin's thriving research ecosystem with leading institutes in data science and quantitative methods

Curriculum and Modules

The M.Sc. Statistics curriculum is structured to build a solid mathematical foundation while offering flexibility through elective and interdisciplinary modules. The compulsory area establishes core competencies in probability theory and mathematical statistics, while specialisation and elective areas allow you to tailor your studies to your career goals.

Probability Theory (Stochastik I)

10 ECTS

This foundational module covers advanced probability theory including measure-theoretic probability, convergence theorems, and limit theorems essential for statistical inference.

Mathematical Statistics

10 ECTS

Covers estimation theory, hypothesis testing, confidence regions, and asymptotic statistical methods, providing the theoretical backbone for applied statistical work.

Stochastic Processes and Time Series Analysis

10 ECTS

Explores Markov chains, martingales, Brownian motion, and time series modelling techniques used in finance, economics, and the natural sciences.

Special Fields of Statistics

10 ECTS

Offers in-depth study of specialised statistical topics such as nonparametric statistics, multivariate analysis, Bayesian methods, or computational statistics.

Interdisciplinary Studies (ÜWP)

10 ECTS

An ungraded component covering general studies such as language courses, interdisciplinary seminars, professional skills, and optional internships.

Master's Thesis

30 ECTS

An independent research project demonstrating your ability to apply advanced statistical methods to a research question, supervised by faculty from any of the participating universities.

Elective Modules

Statistical Learning and Machine Learning Econometrics Biostatistics and Clinical Trials Computational Statistics and Simulation

Admission Requirements

Admission to the M.Sc. Statistics program is competitive and requires a strong quantitative background. The program welcomes graduates from statistics, mathematics, economics, social sciences, physics, and other quantitative disciplines. Contact Uni4Edu for personalised guidance on your application.

Academic Requirements

  • Bachelor's DegreeCompleted university degree (Bachelor's, Master's, or Diploma) in a quantitative subject such as statistics, mathematics, economics, social sciences, or physics
  • Quantitative FoundationMinimum 20-30 ECTS in mathematics, probability theory, and statistics or related quantitative subjects
  • Academic PerformanceStrong academic record in your undergraduate studies; contact Uni4Edu for specific GPA guidance
  • MotivationStatement of purpose demonstrating your interest in statistics and career objectives
  • Quantitative SkillsDemonstrated proficiency in calculus, linear algebra, and introductory statistics

Language Requirements

  • German ProficiencyMinimum B1 level (CEFR) required, as some compulsory courses are taught in German
  • English ProficiencyMinimum B1 level (CEFR) or equivalent (e.g., IELTS, TOEFL); most courses are taught in English
  • Language CertificatesAccepted certificates include IELTS, TOEFL, Cambridge, or equivalent; contact Uni4Edu for details

Required Documents

Certified copies of academic transcripts and degree certificates Proof of German language proficiency (minimum B1 level) Proof of English language proficiency (minimum B1 level) Curriculum vitae (CV) Statement of purpose / motivation letter

Application Deadlines

May 31 Winter Semester (International Applicants)
May 31 Winter Semester (EU/EEA Applicants)
Early Application Recommended

For personalized admission guidance, document verification, and application support, please contact Uni4Edu

Scholarships and Funding

Germany's public universities generally charge minimal semester fees, making the M.Sc. Statistics program highly accessible. Additionally, several scholarship opportunities are available to support international students during their studies in Berlin.

Deutschlandstipendium (Germany Scholarship)

EUR 300 per month

A merit-based scholarship funded jointly by the German federal government and private donors, awarded to high-achieving students regardless of nationality.

DAAD Scholarships for International Students

Varies by program

The German Academic Exchange Service (DAAD) offers a range of scholarships for international master's students, covering living expenses and sometimes travel costs. Contact Uni4Edu for eligibility details.

Berlin University Alliance Funding

Varies

As a recognised BUA Joint Degree program, students may have access to alliance-specific funding opportunities for research projects, mobility, and academic activities.

For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.

Career Prospects

Graduates of the M.Sc. Statistics program are highly sought after across a wide range of industries. The program equips you with advanced analytical and quantitative skills that are in strong demand in today's data-driven economy. Berlin's position as a major European tech and research hub offers excellent networking and employment opportunities.

Top 100 University Ranking (THE 2026)
4 Partner Institutions
120 ECTS Credits

Typical Career Roles

Statistician Data Scientist Quantitative Analyst Biostatistician Econometrician Research Scientist (Academia)

Typical Employers and Sectors

Banks and Financial Institutions Pharmaceutical and Biotechnology Companies Management Consulting Firms Public Research Institutes Government Statistical Agencies Technology and Data Analytics Companies

Rankings and Recognition

Humboldt University of Berlin is one of Germany's most prestigious universities, consistently ranked among the top institutions globally. Founded in 1810, it is renowned as the birthplace of the modern research university model and is a member of the Berlin University Alliance, Germany's first and only university consortium of excellence.

QS World University Rankings
#130
2026
THE World University Rankings
#89
2026
U.S. News Best Global Universities
#47
2026
ARWU (Shanghai Ranking)
Top 150
2025
SubjectRanking BodyRank
MathematicsQS Subject Rankings51-100
Economics and EconometricsQS Subject RankingsTop 150
Mathematics (Germany)EduRank#11
Arts and HumanitiesQS Subject Rankings#26

How to Apply

Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.

1

Contact Uni4Edu

Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.

2

Prepare Your Documents

Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.

3

Submit Your Application

Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.

4

Receive Your Offer

Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.

Contact Uni4Edu

+90 5435286292
+44 7868736984
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