Business Intelligence & AI

Master of Science (MSc) – Business Analytics: Business Intelligence & AI

Degree: Master of Science (MSc) – Business Analytics: Business Intelligence & AI
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 entrepreneurial expertise needed to identify opportunities, design sustainable business models, and implement socially responsible strategies that drive impact and growth preparing you to lead, adapt, and make a meaningful difference in the evolving world of sustainable and social entrepreneurship.

Overview

The MSc in Business Analytics: Business Intelligence & AI equips students with the strategic, analytical, and technical expertise required to harness business intelligence and artificial intelligence for data-driven decision-making. The program integrates AI technologies, predictive analytics, and business strategy to prepare future leaders who can transform complex data into actionable insights that drive innovation and competitive advantage.

Students learn to implement AI-driven solutions, analyze large datasets, design predictive models, and develop strategies that optimize business performance. By graduation, they will be ready to leverage advanced analytics and AI tools to support organizational decision-making and drive sustainable growth

Career Opportunities

Graduates with an MSc in Business Analytics: Business Intelligence & AI can pursue careers as AI analysts, business intelligence consultants, data scientists, analytics managers, or strategy consultants in corporations, startups, and technology firms. Many also work in AI-driven innovation hubs, research centers, or as project leaders managing data and analytics initiatives to drive organizational growth.

Program Learning Outcomes

  • Develop a deep understanding of business intelligence, AI, and machine learning applications for business.

  • Apply analytical and AI tools to interpret data, identify trends, and inform strategic decisions.

  • Design AI-driven strategies that enhance operational efficiency, innovation, and market responsiveness.

  • Build leadership and communication skills to implement data-driven insights across teams and stakeholders.

  • Understand ethical, legal, and regulatory frameworks governing AI, data use, and business intelligence.

Programme

🎓 Year 1: Foundations of Business Intelligence & AI

Year 1: Foundations of Business Intelligence & AI

Semester 1

Course TitleCourse CodeCredits
Introduction to Business AnalyticsBAI1013
Data Management & WarehousingBAI1023
Statistics & Quantitative AnalysisBAI1033
Data Visualization & DashboardingBAI1043
Business Analytics Tools & SoftwareBAI1053

Total Credits – Semester 1: 15

Semester 2

Course TitleCourse CodeCredits
Artificial Intelligence for Business AnalyticsBAI2013
Machine Learning & Predictive AnalyticsBAI2023
Big Data Analytics & Cloud ComputingBAI2033
Decision Support Systems & OptimizationBAI2043
Capstone: Business Intelligence & AI ProjectBAI2053

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

Year 2: Advanced Business Intelligence & AI

Semester 1

Course TitleCourse CodeCredits
Advanced Predictive & Prescriptive AnalyticsBAI3013
AI-Driven Decision Making & AutomationBAI3023
Business Analytics Strategy & ManagementBAI3033
Natural Language Processing & AI ApplicationsBAI3043
Ethics & Governance in AIBAI3053

Total Credits – Semester 1: 15

Semester 2

Course TitleCourse CodeCredits
Advanced Data Mining & AI TechniquesBAI4013
Big Data Analytics for Business IntelligenceBAI4023
AI-Enabled Business Process OptimizationBAI4033
Decision Analytics Capstone PreparationBAI4043
Capstone: Business Intelligence & AI ProjectBAI4053

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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