Programme structure
Semester 1
Mandatory courses:
Data Science 1: Statistics and Econometrics with Pyhton, 4 credits
Digital Innovation Management, 3 credits
Digital Business and Economics, 3 credits
AI in Digital Marketing, 2 credits
AI Company Project 1 / Power Platform Certification, 1 credit
AI Management, 3 credit
Project Management Fundamentals, 1 credit
Certification Microsoft Azur SQL, 0 credit
Ethics in Digital Business, 2 credits
Career Management 1, 1 credit
Research Methods, 1 credits
TOTAL CREDITS : 21
Semester 2
Mandatory courses:
Strategy in the Digital Economy, 3 credits
Data Science 2: Advanced Machine Learning for business, 3 credits
Business Analytics and Consumer Behaviour, 1 credit
Big Data and Analytics, 3 credits
Design Thinking, 1 credit
Data Analysis for Corporate Entrepreneurship, 3 credits
AI Company Project 2, 1 credit
AI & Business Models, 1 credit
Data Privacy, AI and Ethics, 2 credits
Elective courses (choose from)
Google Advertisement with Machine Learning Solutions, 1 credit
Certification AGILE Scrum Master, 2 credits
Creating and Scaling a Business, 1 credit
Data Visualisation, 1 credit
TOTAL CREDITS : 21
Professional thesis, 18 credits
TOTAL CREDITS : 60
These details are for information only and may be changed by the school without prior notice
