Program overview The Master’s in Business Analytics is structured in staged phases that first ready you for research activities and help you expand your leadership capabilities. After this initial preparation, the curriculum focuses on the core technical and applied topics of business analytics, allowing you to consolidate newly acquired knowledge while developing as a leader.
Practical learning and skill development The programme combines technical courses (e.g., statistics, machine learning, Python) with applied, real-world experiences such as a field project and an analytics hackathon. Complementary professional development workshops and modules aimed at modern financial professionals round out the training, so you gain both analytical competence and leadership-oriented soft skills.
Location and language This English‑taught Master’s is delivered at the university campus in Oestrich‑Winkel, Germany, and awards the Master of Science (MSc) degree.
Core modules and practical elements
This Master’s is built to be flexible so it can match your prior knowledge, skills and career goals. Depending on the path you choose, the programme combines on-campus study at EBS with options for international mobility, prolonged practical experience, or an accelerated timetable. All routes conclude with a research-based master’s thesis and are designed to develop both analytical expertise and applied business skills for an international career.
Four study options let you tailor the degree to your priorities:
Typical learning outcomes across these tracks include the ability to apply quantitative and managerial methods to real business problems, conduct independent research culminating in a master’s thesis, and operate effectively in international business environments. Depending on your chosen route you will gain deeper practical experience (via the internship), broader international perspective (via the semester abroad or dual degree), or a faster transition to the job market (via the accelerated option).
Requirements / track prerequisites (as stated)
This master’s programme requires a completed undergraduate degree and evidence of academic performance, proof of English proficiency, and a valid standardized admissions test. Applications that meet the formal criteria are followed by an individual interview to evaluate personal motivation and interpersonal skills. The interview focuses on your drive to learn and perform, your communication style, willingness to assume social responsibility, and your initiative.
International applicants should note the minimum credit requirement is expressed in ECTS; if your bachelor’s degree was completed under a different credit or national system, you will need to demonstrate equivalence (check the programme’s admissions guidance for accepted documentation). Also be prepared to provide official transcripts and any required language-test certificates.
Admission requirements (bullet points)
For country-specific document equivalence or further details on acceptable language tests and score thresholds, consult the programme’s official admissions page.
Winter Semester (International)
31 May 2026
Summer Semester (International)
30 September 2026
Graduates are prepared for roles that require advanced analytics and data-driven decision-making, such as data scientist/analyst positions, quantitative roles in finance and asset management, analytics consultants, and product or risk roles in FinTech companies. The combination of technical training and professional development workshops also positions alumni for leadership and cross-functional roles where they must translate complex analytics into business strategy.
Choosing the Semester Abroad or dual-degree options can further enhance international employability, while the Practice Track provides extended internship experience that helps graduates enter the job market with practical project experience and corporate contacts.
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