Master of Science in Business Analytics
Master of Science in Business Analytics
This MSc in Business Analytics equips you with advanced skills in data analysis, statistical modeling, and programming, alongside a deep understanding of business functions like finance, marketing, and operations. You’ll learn to translate big data into actionable insights, solving complex business challenges with analytics. The programme emphasizes practical experience through internships, consultancy projects, and SAS Institute certification, enabling you to bridge the gap between analytics and business, and preparing you for leadership in a data-driven world.
This programme is ideal for aspiring business analysts, whether in companies or consultancy roles. It meets the high demand for professionals who bridge technology, data science, and business strategy. Over 95% of graduates secure relevant jobs within six months, many before graduation. Common roles include Business Analyst, Data Analyst/Scientist, Business Developer, Marketing Analyst, and Consultant, showcasing the programme’s strong career prospects and industry relevance.
The candidate should have acquired knowledge of:
- Theories and frameworks for decision-making in both the private and public sectors
- Fundamental principles of markets, competition, and value creation
- Various data sources and techniques for transforming data into actionable insights for decision-making
- A broad range of analytical methods, their applications to specific business challenges, and their limitations
- The use of artificial intelligence and machine learning in predictive analytics
- Ethical considerations and legal regulations surrounding the collection, storage, analysis, and dissemination of data
The candidate should be able to:
- Recognize and formalize complex and unstructured business decisions
- Develop effective code for statistical analyses using a relevant programming language
- Identify, acquire, extract, clean, and construct databases from both internal and external data sources
- Analyze data to understand business problems and perform predictive analyses
- Assess the value added by analytics projects and present findings to management
- Apply and critically evaluate the results of empirical studies to recommend optimal solutions for business decisions, including visualizing and communicating the proposed solutions
The candidate should be able to:
- Demonstrate how rigorous analyses can improve the quality of business decisions, and at the same time develop an ability to reflect critically around:
- Understand the limitations of data and the assumptions underlying the methods used for data analysis
- Recognize ethical dilemmas related to the use of individual-level data, algorithms, and statistical tools
- Comprehend the legal considerations of data analysis, particularly regarding privacy and data security issues