Management and Data Science B.Sc.
Technical University of Munich (TUM), Germany
Bachelor of Science in Management and Data Science
Technical University of Munich (TUM)
Management & Data Science
Program Overview: Management and Data Science B.Sc.
The Bachelor of Science in Management and Data Science at TUM is an interdisciplinary program located at the interface of economics and computer science. Students learn to analyze and use data to develop and implement economic and social innovations, acquiring competencies across all major fields of management while mastering how data science can be efficiently applied in a digitally transforming business environment.
Offered entirely in English at the TUM Campus Heilbronn, this program integrates managerial and technological aspects across all modules, providing a holistic perspective on data-driven business challenges. Students build a strong mathematical foundation and attend computer science courses at the TUM School of Computation, Information and Technology, while also exploring ethical dimensions of AI, big data, and machine learning.
With a particular focus on family-run and medium-sized enterprises, the program leverages Heilbronn's position as one of Europe's most prospering hubs for artificial intelligence. Real-world projects with leading companies and multifaceted electives in digital transformation and family enterprise promote a customized and career-oriented study experience.
Key Program Highlights
- Fully English-taught interdisciplinary program combining management education with cutting-edge data science techniques
- Located at TUM Campus Heilbronn, embedded in one of Europe's leading AI and innovation hubs with strong industry connections
- Real-world project-based learning with leading companies and a dedicated mobility window in the fifth semester
- Part of the triple-accredited TUM School of Management (EQUIS, AACSB, AMBA) at a University of Excellence
Curriculum & Modules
The Management and Data Science B.Sc. curriculum spans six semesters and 180 ECTS, structured into mandatory foundation courses in the first four semesters and flexible elective and project modules in the fifth and sixth semesters. In the first four semesters, students cover business administration (39 credits), economics (12 credits), law (6 credits), quantitative foundations (27 credits), and technical data science basics (36 credits). The fifth semester serves as a mobility window with elective modules and a project study, while the sixth semester includes further electives, a communication module, and the Bachelor's thesis.
Business Administration Foundations
39 ECTSCore management modules covering accounting, marketing, logistics, and organizational management, all systematically examined through the lens of data science applications and digital transformation.
Quantitative Methods and Mathematics
27 ECTSA strong quantitative foundation including differential and integral calculus, systems of equations, probability theory, and statistics, preparing students for advanced data analysis and research methods.
Data Science and Computer Science Fundamentals
36 ECTSTechnical data science courses delivered by the TUM School of Computation, Information and Technology, covering programming, machine learning, artificial intelligence, and data-driven technology applications.
Economics
12 ECTSModules in micro- and macroeconomics providing students with a solid understanding of economic principles and their relevance to data-driven managerial decision-making.
Law for Management
6 ECTSAn introduction to legal frameworks relevant to business operations, data governance, and digital transformation, including regulatory and institutional issues in the German and international context.
Project Study and Bachelor's Thesis
24 ECTSAn individually arranged project study (12 ECTS) with a partner company or research group, plus the Bachelor's thesis (12 ECTS) consisting of a scientific paper and a Bachelor's colloquium.
Elective Modules
Admission Requirements
Admission to the Management and Data Science B.Sc. is based on a two-stage aptitude assessment procedure. In the first stage, your overall secondary school grades, subject-specific grades in English, Mathematics, and an Advanced Natural Science, as well as any relevant practical experience or additional qualifications are evaluated using a point system. Depending on the points accumulated, applicants are either directly admitted or invited to an admission interview. Contact Uni4Edu for guidance on preparing your application.
Academic Requirements
- University Entrance QualificationAbitur or recognized international equivalent (e.g., IB Diploma, A-Levels, or country-specific secondary school leaving certificate)
- Subject-Specific GradesStrong grades in English, Mathematics, and an Advanced Natural Science (Chemistry, Physics, Biology, Informatics, or Technology)
- Aptitude AssessmentTwo-stage procedure: document-based evaluation followed by a potential admission interview
- International ApplicantsPreliminary Review Documentation (VPD) required for applicants with non-German qualifications; APS certificate required for Chinese, Vietnamese, and Indian applicants
- Extracurricular QualificationsUp to 4 additional points awarded for evidence of relevant extracurricular qualifications, internships, or professional experience
Language Requirements
- English ProficiencyEnglish language skills are verified as part of the aptitude assessment; no separate English language certificate is required for the application
- German LanguageNot required for admission; the program is taught entirely in English. Integrated German language courses are available during the program.
- Optional CertificatesWhile not mandatory, TOEFL, IELTS, or Cambridge certificates may strengthen your application profile. Contact Uni4Edu for advice.
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships & Funding
TUM and external organizations offer several funding opportunities for international students enrolled in the Management and Data Science B.Sc. program. While the program itself has no tuition fees for EU/EEA students, non-EEA international students may be subject to tuition fees. Various waiver scholarships, merit-based awards, and need-based grants are available to help offset costs. Contact Uni4Edu for personalized guidance on funding options.
TUM Scholarship for International Students
EUR 500 – EUR 1,800 per semesterFunded by the Bavarian government, this one-time per-semester financial aid is available to enrolled international students. It is merit- and need-based, and students can reapply each semester for a maximum funding period of 36 months.
TUM Merit-Based Waiver Scholarship
Full tuition fee waiver for two semestersAvailable from the third semester onwards for non-EEA students who demonstrate outstanding academic performance. The waiver covers the full tuition fees for international students, and re-application is possible after each award period.
Deutschlandstipendium (Germany Scholarship)
EUR 300 per month (EUR 3,600 per year)A national merit-based scholarship funded jointly by the German federal government and private sponsors. It supports talented students regardless of nationality and is awarded based on academic achievement, social engagement, and personal background.
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 Management and Data Science B.Sc. program are excellently qualified to start careers in national and international companies across a wide range of sectors. The program prepares students for both generalist management roles in the digital age and specialized positions at the interface of business administration and data science. TUM's strong industry network in the Heilbronn-Franken region, home to numerous world market leaders and innovative family-run enterprises, provides exceptional career networking opportunities through frequent career events and corporate partnerships.
Potential Career Roles
Top Employers in the Region & Beyond
Rankings & Recognition
The Technical University of Munich (TUM) is consistently recognized as one of the top universities in Europe and worldwide. As a three-time University of Excellence, TUM is the highest-ranked university in Germany across multiple prestigious international ranking systems. The TUM School of Management holds the rare triple accreditation from EQUIS, AACSB, and AMBA, placing it among an elite group of business schools globally.
| Subject | Ranking Body | Rank |
|---|---|---|
| Computer Science | THE Subject Rankings | #15 |
| Business & Economics | THE Subject Rankings | #27 |
| Engineering & Technology | THE Subject Rankings | #22 |
| Management | ARWU Subject Rankings | #1 in Germany |
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.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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