Data-Driven Decision Making
Master of Science (MSc) – Business Analytics
Degree: Master of Science (MSc) Master of Science (MSc) – Business Analytics: Data-Driven Decision Making
Duration: 2 years (4 semesters)
Total Credits: 60 (approximately 60-66 credits per semester, depending on the program)
You will gain the analytical skills and strategic insight needed to leverage data for informed decision-making, design data-driven strategies, and drive organizational growth preparing you to lead, adapt, and make a meaningful impact in the fast-evolving world of business analytics and data-driven management.
- 2 Years / Onsite
- September, February
Overview
The MSc in Business Analytics: Data-Driven Decision Making equips students with the analytical, strategic, and technical skills required to interpret data, generate actionable insights, and support informed business decisions. The program combines data analysis, statistical modeling, and business strategy to prepare future leaders who can leverage data to drive growth, optimize performance, and create competitive advantage.
Students learn to collect, process, and analyze data, evaluate business opportunities, and design data-driven strategies that enhance organizational effectiveness. By graduation, they will be ready to transform complex data into actionable business solutions and contribute to the success of organizations across industries.
Career Opportunities
Graduates with an MSc in Business Analytics can pursue careers as data analysts, business intelligence consultants, analytics managers, strategy consultants, or project leaders in startups, corporations, and technology firms. Many also work in innovation hubs, research centers, or data-driven business development roles to support decision-making and drive growth.
Program Learning Outcomes
Gain a deep understanding of data analytics, business intelligence, and statistical modeling for decision-making.
Apply analytical tools to evaluate business performance, identify trends, and uncover opportunities.
Design data-driven strategies that align with organizational goals and market needs.
Develop leadership and communication skills to interpret and present data insights effectively.
Understand ethical, legal, and regulatory considerations in data collection, analysis, and usage.
Programme
🎓 Year 1: Foundations of Data-Driven Decision Making
Year 1: Foundations of Data-Driven Decision Making
Semester 1
| Course Title | Course Code | Credits |
|---|---|---|
| Introduction to Data-Driven Decision Making | DDD101 | 3 |
| Data Management & Quality Assurance | DDD102 | 3 |
| Business Statistics & Quantitative Methods | DDD103 | 3 |
| Data Visualization & Reporting Tools | DDD104 | 3 |
| Introduction to Predictive Analytics | DDD105 | 3 |
Total Credits – Semester 1: 15
Semester 2
| Course Title | Course Code | Credits |
|---|---|---|
| Advanced Predictive Analytics for Decision Making | DDD201 | 3 |
| Machine Learning for Business Decisions | DDD202 | 3 |
| Decision Support Systems & Optimization | DDD203 | 3 |
| Data-Driven Strategy & Risk Management | DDD204 | 3 |
| Capstone: Data-Driven Decision Making Project | DDD205 | 3 |
Total Credits – Semester 2: 15
Total Credits – Year 1: 30
🎓 Year 2: Advanced Sustainable & Social Entrepreneurship
Year 2: Advanced Data-Driven Decision Making
Semester 1
| Course Title | Course Code | Credits |
|---|---|---|
| Advanced Business Analytics & Modeling | DDD301 | 3 |
| AI & Machine Learning for Strategic Decisions | DDD302 | 3 |
| Big Data Analytics for Decision Making | DDD303 | 3 |
| Decision Analytics & Optimization Techniques | DDD304 | 3 |
| Ethics & Governance in Data-Driven Decisions | DDD305 | 3 |
Semester 2
| Course Title | Course Code | Credits |
|---|---|---|
| Advanced Decision Analytics Capstone Preparation | DDD401 | 3 |
| Predictive & Prescriptive Modeling for Business | DDD402 | 3 |
| Business Intelligence & Decision Analytics Integration | DDD403 | 3 |
| AI-Enabled Decision Strategy & Risk Management | DDD404 | 3 |
| Capstone: Advanced Data-Driven Decision Making Project | DDD405 | 3 |
Contact us
Zernike Science Park, Zernikeplein 1,9747
AS Groningen, Netherlands
How to Apply?
- You Apply
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
- We Connect
After you submit your application, an admissions representative will contact you and will help you to complete the process.
- You Get Ready
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.