Predictive Analytics
Master of Science (MSc) – Business Analytics
Degree: Master of Science (MSc) – Business Analytics: Predictive Analytics
Total Credits: 60 (approximately 60-66 credits per semester, depending on the program)
You will develop the advanced analytical skills and strategic mindset needed to interpret data, forecast trends, and design predictive models that enhance decision-making preparing you to lead, innovate, and create meaningful impact in the fast-growing field of predictive analytics and data-driven strategy.
- 2 Years / Onsite
- September, February
Overview
The MSc in Predictive Analytics equips students with advanced analytical, statistical, and technological skills to forecast trends, anticipate risks, and guide data-driven decision-making. The program integrates machine learning, statistical modeling, and business strategy to prepare professionals who can transform raw data into forward-looking insights that drive innovation, efficiency, and competitive advantage.
Students learn how to build predictive models, analyze patterns, optimize operations, and apply forecasting tools across industries. By completion, they will be able to leverage predictive techniques to support strategic planning, improve performance, and solve complex organizational challenges.
Career Opportunities
Graduates can pursue careers as predictive analysts, data scientists, forecasting specialists, risk analysts, business intelligence managers, and strategy consultants. Many also go on to support startups, tech companies, financial institutions, and innovation hubs where predictive insights drive product development, risk management, and long-term planning.
Program Learning Outcomes
Gain deep expertise in predictive modeling, machine learning, and statistical forecasting.
Apply analytical tools to evaluate historical and real-time data, identify patterns, and predict future outcomes.
Design and implement predictive strategies that support strategic planning and business optimization.
Develop strong communication and leadership skills to translate analytics into actionable recommendations for teams and stakeholders.
Understand ethical standards, data policies, and regulatory frameworks related to predictive analytics and data use.
Programme
🎓 Year 1: Foundations of Predictive Analytics
Year 1: Foundations of Predictive Analytics
Semester 1
| Course Title | Course Code | Credits |
|---|---|---|
| Introduction to Predictive Analytics | PA101 | 3 |
| Statistical Foundations for Prediction | PA102 | 3 |
| Data Preparation & Feature Engineering | PA103 | 3 |
| Machine Learning Fundamentals | PA104 | 3 |
| Programming for Predictive Modeling (Python & R) | PA105 | 3 |
Total Credits – Semester 1: 15
Semester 2
| Course Title | Course Code | Credits |
|---|---|---|
| Advanced Predictive Modeling Techniques | PA201 | 3 |
| Time Series Forecasting & Trend Analysis | PA202 | 3 |
| Predictive Analytics for Business Strategy | PA203 | 3 |
| Risk Modeling & Predictive Decision Making | PA204 | 3 |
| Predictive Analytics Applications in Industry | PA205 | 3 |
Total Credits – Semester 2: 15
Total Credits – Year 1: 30
🎓 Year 2: Advanced Predictive Intelligence & Capstone
Year 2: Advanced Predictive Intelligence & Capstone
Semester 1
| Course Title | Course Code | Credits |
|---|---|---|
| Machine Learning for Predictive Intelligence | PA301 | 3 |
| Deep Learning for Prediction & Forecasting | PA302 | 3 |
| Predictive Modeling for Customer Analytics | PA303 | 3 |
| Predictive Systems Deployment & Automation | PA304 | 3 |
| Ethics, Compliance & AI Governance in Prediction | PA305 | 3 |
Total Credits – Semester 1: 15
Semester 2
| Course Title | Course Code | Credits |
|---|---|---|
| Predictive Analytics Research & Capstone Preparation | PA401 | 3 |
| Enterprise Predictive Intelligence Systems | PA402 | 3 |
| AI-Powered Predictive Strategy & Optimization | PA403 | 3 |
| Predictive Analytics Industry Case Studies | PA404 | 3 |
| Capstone Project: Predictive Analytics Implementation | PA405 | 3 |
Total Credits – Semester 2: 15
Total Credits – Year 2: 30
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.