Master in AI
Master in AI is a modern, practical, and strategically designed program intended for managers, executives, entrepreneurs, and professionals who want to understand, lead, and implement artificial intelligence projects within a business environment. The program combines a managerial perspective with contemporary technological insights - without requiring any programming skills.
The selection of topics is based on best practices from international AI programs, the market needs of companies in the region, and the approaches of leading global organizations integrating AI into their operations.
Through 10 integrated modules, participants gain competencies in global economics, finance, leadership, project management, and digital marketing, and then progressively move into the domains of AI strategy, use cases, machine learning algorithms, data management, and exponential technologies.
Master in AI Modules
This module provides participants with an understanding of the current global economic, geopolitical, and market environment. The focus is on macroeconomic trends, global risks, and changes in value chains that directly influence business decisions. Special attention is given to the role of AI and digital technologies in shaping international business and new market opportunities.
This module explores how AI can be aligned with business objectives and transformed into measurable business value. Participants learn how to define an AI strategy, identify relevant use cases, and assess ROI and associated risks. Through a practical workshop, participants develop an AI strategy for a specific business scenario.
This module provides the knowledge and tools needed for effective project management in complex environments. The focus is on agile methodologies, risk management, stakeholder engagement, and change management. Participants gain the ability to lead projects in a structured and adaptable way.
This module equips participants with the knowledge and skills to navigate the complexities of modern marketing in a digitally driven world. It explores the evolution of marketing from traditional approaches to the current digital ecosystem, where the boundaries between disciplines have become fluid, and hybrid models of communication and content delivery dominate. The module provides a strategic approach to marketing, emphasizing its integration into broader business and marketing practices. Participants will learn to set measurable goals, create effective marketing strategies. Key areas of focus include customer journey mapping (CJ), creative frameworks for marketing content, interface and user experience design (UI/UX), and the role of data-driven decision-making. By the end of this module, participants will be equipped to approach marketing with a strategic, results-driven mindset. They will develop the skills needed to design impactful marketing initiatives, leverage emerging digital platforms, and create meaningful customer experiences. This module prepares future business leaders to effectively manage and lead marketing efforts in an ever-changing, technology-driven marketplace.
This module presents real-world AI applications through examples from industries such as healthcare, manufacturing, FMCG, and finance. Participants analyze successful projects as well as implementation challenges and common pitfalls. An industry panel provides direct insights from hands-on, real-life experience.
This module gives students insight into Financial statements, Budgets, Forecasting techniques, Purchasing decisions and Laws that regulate the handing and dissemination of financial information.
In an MBA program, the Change Management and Leadership module equips students with the skills to guide organizations through change and lead effectively. It covers strategies for managing and implementing change, including addressing resistance and ensuring sustainable outcomes. Additionally, it emphasizes leadership skills such as decision-making, motivating teams, and fostering a positive organizational culture. The module combines theoretical knowledge with practical skills to prepare students for leading organizations through various challenges.
This module offers a business-oriented understanding of core machine learning algorithms. Participants are introduced to predictive analytics, NLP, computer vision solutions, and recommendation systems. The focus is on understanding capabilities, limitations, and model interpretability - without programming.
This module explains the technological infrastructure required for successful AI initiatives. Participants gain insight into cloud platforms, data architectures, AI integration within IT ecosystems, and vendor selection. Particular emphasis is placed on data security, privacy, and governance models.
The module explores how AI connects with other advanced technologies and the business, ethical, and regulatory implications of this integration. Students will develop an understanding of AI not only as a tool for efficiency and innovation, but also as a matter of responsible, sustainable, and long-term application. Particular attention will be given to identifying and managing risks arising from the integration of AI with other technologies. Upon completion of the module, students will understand the broader technological ecosystem in which AI operates, as well as the importance of ethics, regulation, ESG principles, and a responsible AI approach in modern business.
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