MSc Business Analytics and Artificial Intelligence

Module 1: Data and AI Ecosystem (30 credits)

❚ Understanding AI and data analytics in businesscontexts

❚ Ethical, legal, and strategic dimensions

❚ AI governance and compliance

❚ Global regulations and frameworks

❚ Sustainable AI implementation

 

Module 2: Data-Powered Decision Making (30 credits)

❚ Big data management

❚ Business intelligence fundamentals

❚ Data modeling and cleaning

❚ Industry-specific AI applications

❚ Regulatory compliance in data use

 

Module 3: Leading with Analytics and AI (30 credits)

❚ Strategic decision-making with AI

❚ Predictive analytics and modeling

❚ Tools: Power BI, Tableau, Orange Data Mining

❚ AI governance aligned with aCAP Domain 6

❚ Risk management and ethical deployment

 

Module 4: Future Leaders’ Challenge (30 credits)

❚ Real-world business challenges

❚ Team-based problem solving

❚ Strategic thinking and innovation

❚ Digital transformation planning

❚ Global case studies

 

Module 5: Learning Without Limits (30 credits)

❚ Personal and professional growth analysis

❚ Industry trend identification

❚ Skills mapping and reflection

❚ Personal branding and networking

❚ Digital portfolio development

 

Module 6: Impact Project (30 credits)

❚ Self-directed consultancy project

❚ No traditional dissertation required

❚ Applied research methods

❚ Real-world business challenge

❚ Career-focused outcomes