Business Analytics

MSc - Digital Transformation

Degree: Master of Science (MSc) MSc – Digital Transformation : Business Analytics
Duration: 2 years (4 semesters)
Total Credits: 60 (approximately 60-66 credits per semester, depending on the program) 

You will develop the strategic insight and analytical expertise needed to identify digital opportunities, design data-driven business models, and implement technology-enabled strategies that drive growth and innovation preparing you to lead, adapt, and make a meaningful impact in the rapidly evolving world of digital business and analytics.

Overview

The MSc in Digital Transformation: Business Analytics equips students with the analytical expertise, technological proficiency, and strategic insight required to leverage data for digital business transformation. The program combines business analytics, data-driven decision-making, and digital strategy to prepare students to identify opportunities, optimize operations, and enhance performance in a data-driven digital environment.

Students learn to collect, analyze, and interpret complex datasets, develop actionable insights, and implement analytics-driven strategies that support organizational growth. By graduation, they will be prepared to drive digital initiatives and make informed decisions that improve efficiency, competitiveness, and innovation.

Career Opportunities

Graduates can pursue careers as business analysts, data analytics managers, digital transformation consultants, data-driven strategy specialists, or analytics project leads. They may also work with startups, technology companies, or corporate innovation teams to implement data-centric solutions, optimize processes, and support digital growth strategies.

Program Learning Outcomes

  • Apply business analytics tools and techniques to analyze large and complex datasets.

  • Use data-driven insights to support strategic digital transformation initiatives.

  • Design and implement analytics-driven solutions that optimize business processes and performance.

  • Lead projects that integrate data, technology, and organizational strategy.

  • Understand ethical, regulatory, and governance considerations in the use of data for business decision-making.

Programme

🎓 Year 1: Foundations of Digital Transformation & Business Analytics

Year 1: Foundations of Digital Transformation & Business Analytics

Semester 1

Course TitleCourse CodeCredits
Introduction to Digital TransformationDTB1013
Fundamentals of Business AnalyticsDTB1023
Data Management & Digital PlatformsDTB1033
Business Intelligence ToolsDTB1043
Programming for Analytics (Python & SQL)DTB1053

Total Credits – Semester 1: 15

Semester 2

Course TitleCourse CodeCredits
Digital Transformation StrategyDTB2013
Advanced Business Analytics TechniquesDTB2023
AI & Machine Learning for Digital BusinessDTB2033
Digital Customer Analytics & InsightsDTB2043
Capstone Project: Analytics ImplementationDTB2053

Total Credits – Semester 2: 15
Total Credits – Year 1: 30

Year 2: Advanced Digital Transformation & Capstone

Semester 1

Course TitleCourse CodeCredits
Enterprise Digital Transformation SystemsDTB3013
Analytics Consulting & StrategyDTB3023
AI & Emerging Tech in Digital TransformationDTB3033
Ethics & Governance in Digital TransformationDTB3043
Capstone Project: Digital Transformation ImplementationDTB3053

Total Credits – Semester 1: 15

Semester 2

Course TitleCourse CodeCredits
Advanced Digital Transformation Case StudiesDTB4013
Enterprise Analytics & Digital Systems IntegrationDTB4023
Innovation & Emerging Technologies in BusinessDTB4033
Strategy Implementation & GovernanceDTB4043
Capstone Project Completion & PresentationDTB4053

Total Credits – Semester 2: 15
Total Credits – Year 2: 30

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Zernike Science Park, Zernikeplein 1,9747
AS Groningen, Netherlands

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