MBM (MSc) with specialisation in Data Analytics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1.5 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon October 2026

Course Overview

In an era where data drives strategic decisions, the MBM (MSc) with a specialisation in Data Analytics at Wittenborg University of Applied Sciences equips you with the essential skills to thrive. This postgraduate programme is designed for ambitious individuals seeking to bridge the gap between complex data and actionable business insights, preparing you for leadership roles in today's information-centric economy. You will explore the critical interplay of globalisation, marketing management, and micro/macroeconomics through a data-driven lens, developing a sophisticated understanding of how to leverage data analytics and artificial intelligence in business contexts. This specialisation is ideal for those ready to tackle challenges in data visualisation, machine learning, and algorithmic thinking.

You will study this programme full-time on campus over 18 months, immersing yourself in a curriculum that balances theoretical knowledge with practical application. Your learning journey will encompass modules such as Data Structure & Algorithms, AI in Business, and Research Methods, culminating in a substantial Final Project. This project-based approach, including dedicated Project Weeks, allows you to apply your developing expertise to real-world scenarios. You will graduate with a Master's Degree, prepared to pursue impactful careers in data science, business intelligence, and strategic management, equipped to lead data-informed initiatives and drive innovation within organisations worldwide.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Business and Management (MBM) program with a specialization in Data Analytics equips students with essential business knowledge and advanced analytical skills. The curriculum covers foundational business concepts such as marketing, economics, and financial management, alongside specialized data analytics topics including data visualization, artificial intelligence, and machine learning. Students will also engage in research methods and a substantial final project, culminating in a professional-based learning experience to apply their acquired expertise.

1 Year 1, Semester 1

Globalisation, Society & Culture
Marketing Management
Research Methods Introduction (Final Project)
Micro & Macroeconomics - Global Perspectives
Data Analytics & Visualisation
Professional Inquiry
Data Structure & Algorithms

2 Year 1, Semester 2

Research Methods (Final Project)
Artificial Intelligence in Business
The World Economy
Machine Learning
Financial & Strategic Management
Project Module (3 Project Weeks, linked to Final Project)

3 Year 2 (1 Semester /Term)

Professional-Based Learning
Final Project

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 12,528.00
Second Year Fee Tuition fee
USD 12,528.00
Total Program Cost Estimated total tuition
USD 25,056.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 432.00 - USD 1,195.00
Food & Groceries USD 2,105.00 - USD 3,509.00
Transport USD 702.00 - USD 1,123.00
Utilities & Bills USD 1,404.00 - USD 2,105.00
Estimated Total USD 4,211.00 - USD 6,737.00

Living cost estimates are based on Apeldoorn Campus.

Outcomes & Employability

What happens after you graduate

95%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Agricultural Services & ExtensionCybersecurityEvent & Experiential MarketingFood Processing & ManufacturingGovernment & Regulatory AgenciesIndustrial & Mechanical EngineeringLogistics & Warehouse ManagementTax & Legal ComplianceTextile & Fabric DevelopmentWealth Management & Financial Advisory

Top Employers Hiring for this course

Blue Wireless

H&M

Nike

Rabobank

Why Study MBM (MSc) with specialisation in Data Analytics at Wittenborg University of Applied Sciences

What makes this program stand out

October 2026 Closing soon

Next intake is in October 2026

Life at Wittenborg University of Applied Sciences in Netherlands

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about MBM (MSc) with specialisation in Data Analytics at Wittenborg University of Applied Sciences

Can I work while studying?

International students can work up to 16 hours per week during term time and full-time during breaks. A valid work permit is required for employment.

What English language score do I need for this course?

To enroll in the program, non-native speakers must meet specific English test requirements. Acceptable scores include a TOEFL overall score of 90, or an IELTS overall score of 6.5, among other criteria.

What jobs can I get after studying this course?

Graduates can pursue various roles such as Data Analyst, Business Intelligence Consultant, Data Scientist, Analytics Manager, and Business Analyst.

What will I actually study in this course?

In the information-driven era where data dictates decisions, the demand for skilled professionals who can interpret and leverage data has surged across all sectors. Recognising this critical need, Wittenborg offers a Master of Business and Management (MBM/MSc) with a specialisation in Data Analytics. This programme is designed for those who aspire to harness the power of data in driving business strategy and innovation.

Our MBM in

When can I start — what are the intake months?

The MBM (MSc) with specialization in Data Analytics offers multiple intake months: February, April, May, September, October, and December. This flexibility allows students to join the program at a time that best suits their schedule.
ℹ️️
ℹ️️
ℹ️️
 
Account
  • New student?

Search for universities & courses

ℹ️️
ℹ️️
ℹ️️
ℹ️️