Program Overview
The Master of Science in Business Analytics equips students with analytical skills and business acumen to manage and analyze data, solve business problems, and make data-driven decisions. The two-year program offers a tailored curriculum with elective courses, internships, and potential SAS Institute certification, preparing graduates for high-demand roles as business analysts and consultants. Emphasizing engaging learning and practical application, the program prepares students to bridge the gap between technology and business needs.
Program Outline
Degree Overview:
The Master of Science in Business Analytics is a future-oriented program designed to equip students with advanced analytical skills combined with business and management expertise. The program aims to produce graduates capable of managing and analyzing data, translating big data into business value, and solving business problems using analytics. It emphasizes the art of data-driven decision-making. The curriculum includes training in data analysis, statistical models, quantitative tools, programming, data management, and a strong understanding of business functions like finance, marketing, and operations. A unique feature is the opportunity for an internship at SAS Institute, the world's largest business analytics company, along with free certification in their software. The program boasts a high job placement rate, with over 95% of graduates finding relevant employment within six months of graduation, many securing jobs even before graduation. The second year allows for flexible study from anywhere globally, accommodating internships or consultancy projects.
Outline:
The program is structured across two years (120 ECTS credits total), each year divided into autumn and spring semesters with exams at the end of each.
Year 1 (60 ECTS):
- Autumn:
- Data Management and Python Programming (6 ECTS)
- Decision Theory and System Dynamics (6 ECTS)
- Business Optimisation (6 ECTS)
- Data Protection and Ethics in the Modern Business Environment (6 ECTS)
- Applied Data Analytics (6 ECTS)
- Spring:
- Artificial Intelligence - Technologies and Applications (6 ECTS)
- Machine Learning for Business (6 ECTS)
- Visualisations and Network Theory (6 ECTS)
- Two specialisation electives (12 ECTS)
Year 2 (60 ECTS):
- Autumn:
- Exchange semester or courses, including specialisation electives and internship (- ECTS – note the dash indicates variable credit allocation depending on the chosen path)
- Specialisation electives (18 ECTS)
- Causal Inference with Big Data (6 ECTS)
- Master thesis (6 ECTS)
- Spring:
- Value Added Analytics (6 ECTS)
- Master thesis (24 ECTS)
Teaching:
The program emphasizes engaging learning experiences and quality teaching to build a solid skill and competency base.
Careers:
Graduates are well-suited for roles as business analysts, either within companies or as consultants. There is high demand for individuals who can bridge the gap between technologists/data scientists and business needs. Examples of jobs obtained by graduates include: Business Analyst, Data Analyst/Scientist, Business Developer, Marketing Analyst, and Consultant.
Other:
The program offers opportunities to customize the degree through internships, elective courses, and a potential internship at SAS Institute with free software certification. The internship program allows students to gain practical experience and explore different industries. Elective courses enable students to tailor their studies to personal interests and career goals. The program is taught in English and is a full-time program.
