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About the Program
The Master of Science in Business Analytics at Swiss International University (SIU) is an advanced postgraduate study program designed for professionals, managers, analysts, entrepreneurs, and future decision-makers who want to understand how data, digital tools, and analytical thinking can support modern business strategy. This program is delivered across SIU Zurich, SIU Dubai, and SIU Bishkek.
Program Overview
The program is delivered 100% in English through a blended study method, combining flexible online learning with selected academic activities and optional on-campus engagement. Students may complete their thesis defense on campus in Zurich, Dubai, or Bishkek, giving the program an international academic dimension.
Program Title: Master of Science in Business Analytics
Study Level: Equal to ISCED / EQF Level 7*
European Cycle: Equal to the 2nd European cycle
Duration: 18 Months
Study Method: Blended
Language of Study: 100% English
ECTS: Equal to 90 ECTS
Tuition Fee: CHF 49,000
Thesis Defense: Zurich, Dubai, or Bishkek campus
*ISCED means the International Standard Classification of Education, a global framework used to compare education levels internationally. EQF means the European Qualifications Framework, which helps compare qualifications across European education systems. Level 7 usually refers to master’s-level studies.
This program starts once per year, on the first Monday of October. The first intake began in October 2013.
Program Content
First Year: 9 Modules
Business Analytics and Data-Driven Decision-Making
Statistics for Business and Management
Data Management and Database Systems
Business Intelligence and Data Visualization
Predictive Analytics and Forecasting
Artificial Intelligence and Machine Learning for Business
Digital Transformation and Business Strategy
Operations Analytics and Performance Management
Research Methods for Business Analytics
Second Year: Thesis
Master Thesis in Business Analytics
Thesis Defense
The thesis allows students to apply business analytics concepts to a real or research-based business problem. The defense may be completed on campus in Zurich, Dubai, or Bishkek.
Learning Themes
The program focuses on key themes in modern business analytics, including:
Data-driven decision-making, business intelligence, statistical analysis, predictive modeling, artificial intelligence, machine learning applications, digital transformation, data visualization, strategic management, operations performance, research methods, and ethical use of data.
Students are expected to develop the ability to collect, analyze, interpret, and communicate business data in order to support effective management decisions.
Typical Class Profile
Class size: Up to 25 students
Female participants: 66%
Average age: 34 years
Nationalities represented: 18
Average professional experience: 11 years
Benefits of the Program
The Master of Science in Business Analytics is designed for learners who want to combine management knowledge with analytical and digital skills. It supports professionals who need to understand business problems through data and transform information into practical decisions.
Key benefits include:
Flexible blended learning, 100% English instruction, international thesis defense options, practical business analytics modules, strong focus on digital transformation and AI, development of research and analytical skills, and a global classroom with experienced professionals from different sectors.
Who Can Apply?
This program is suitable for applicants who hold a bachelor’s degree or an equivalent qualification and wish to continue to master’s-level studies in business analytics.
It is especially suitable for:
Business graduates, data analysts, managers, entrepreneurs, consultants, finance professionals, marketing professionals, IT professionals, project managers, and applicants from related fields who want to develop strong analytical and decision-making skills.
Applicants should have a good command of English and an interest in business, data, technology, digital transformation, and applied research.