In what ways can machine learning drive product innovation? What role does artificial intelligence play in navigating global markets? How do you launch and scale an AI-powered startup?
Designed for aspiring tech-savvy business leaders, this intensive three-year program prepares students to solve real-world problems with cutting-edge digital tools. The curriculum covers essential topics such as machine learning, predictive analytics, neural networks, and natural language processing (NLP). Students explore the transformative impact of AI across diverse global markets through practical projects and real-world case studies.
Students receive a comprehensive business education with a strong emphasis on digital innovation and data-driven strategy. The program fosters agile thinking and prepares graduates to lead data-powered initiatives, develop sustainable AI solutions, and drive business growth in a fast-changing global economy.
1. Completed secondary education: A/S Levels, IB Diploma, GCSE/IGCSE, AP Program, or equivalent.
2. English proficiency: Native speaker, TOEFL (min 32 iBT), IELTS, Cambridge CAE, prior instruction in English, or GBSB internal test.
3. Completed online application with required documentation (transcripts, CV, motivation letter, copy of passport).
4. Admissions interview (online or in-person).
Aspiring tech-savvy business leaders who want to combine business acumen with AI expertise to solve real-world problems and lead data-powered initiatives.
Year 1 — Compulsory (60 ECTS)
Global Business Environment (7 ECTS)
Business Communication (6 ECTS)
Introduction to Digital Entrepreneurship and Innovation (7 ECTS)
Fundamentals of Marketing in the Digital Era (13 ECTS)
Principles of Accounting (7 ECTS)
Business Law in a Digital Context (7 ECTS)
Business Math and Statistics (13 ECTS)
Year 2 — Compulsory + Specialization Electives (60 ECTS)
Strategic Management of Enterprise and Digital Innovation (13 ECTS)
Managerial Accounting (6 ECTS)
Leadership and Organizational Behavior (6 ECTS)
Starting a New Digital Business (7 ECTS)
Business Economics (7 ECTS)
Business Research Methods (6 ECTS)
Year 3 — Compulsory + Specialization Electives (60 ECTS)
Professional and Career Development (6 ECTS)
Innovative and Creative Thinking (4 ECTS)
Corporate Finance (7 ECTS)
Disruptive Technologies for Innovation and Change (13 ECTS)
Specialization Electives — Artificial Intelligence for Business (45 ECTS)
AI & Big Data (4 ECTS)
AI & Cybersecurity: Protecting Digital Assets (4 ECTS)
AI-driven Learning Ecosystems (4 ECTS)
AI-powered Business Solutions (7 ECTS)
Consumer Behavior and Emerging Technologies (4 ECTS)
App Development with AI (7 ECTS)
Dissertation in the area of AI and Business (15 ECTS)
Machine learning and predictive analytics for business decisions
AI-powered product development and innovation
Natural language processing and neural network applications
Data-driven strategy and business intelligence
Sustainable AI solutions for global markets