MBA in Artificial Intelligence
Validated by Swiss School of Business and Management (SSBM)
Duration
12 monthsStudy Mode
OnlineTotal Tuition
7000 EURMonthly Payment
Payment plan is available. Please discuss this with your admissions advisorQualification
MBA ProgrammeStart Date
One of the major advantages of this program is its flexibility. Students may start at any time throughout the year, since the MBA is fully online and self-paced.Programme Overview
The Online MBA in Artificial Intelligence from the Swiss School of Business and Management (SSBM) Geneva is a future-focused business degree designed for managers, executives, entrepreneurs, and professionals who want to lead organizations in the age of Artificial Intelligence. Delivered 100% online, the program combines advanced business management with practical applications of AI, machine learning, data science, and digital transformation. Students can complete the program in 12 months or less, earning 60 ECTS credits, while continuing to work full-time. The curriculum was developed in collaboration with more than 20 business and industry partners, ensuring that graduates gain practical, career-ready skills that can be applied immediately in the workplace.
Rather than focusing on programming or advanced mathematics, the MBA emphasizes how executives can strategically leverage AI to improve decision-making, enhance organizational performance, increase operational efficiency, and create competitive advantage. Through flexible asynchronous learning combined with live webinars and faculty interaction, students gain exposure to emerging technologies such as Generative AI, Big Data, Data Analytics, AI in Marketing, AI in Human Resource Management, and Business IT. The program prepares graduates to lead digital transformation initiatives across public and private sector organizations worldwide.
Areas of Specialization
The MBA focuses on three primary areas:
Artificial Intelligence & Machine Learning
Data Science
Application of Artificial Intelligence in Business
Why This Program is Ideal for Caribbean Executives
Artificial Intelligence is rapidly transforming industries throughout the Caribbean, including tourism, financial services, banking, healthcare, education, logistics, telecommunications, manufacturing, and government. Caribbean organizations increasingly need leaders who understand not only business strategy but also how AI can improve productivity, customer experience, cybersecurity, and data-driven decision making.
This MBA equips Caribbean executives with practical leadership skills to implement AI solutions without needing a technical programming background. Whether managing a hotel chain in Jamaica, a financial institution in Trinidad and Tobago, a government agency in Barbados, or a healthcare organization in Guyana, graduates will be able to lead digital transformation initiatives, improve operational efficiency, and position their organizations for global competitiveness.
Entry Requirements
Applicants should have:
Bachelor's degree from a recognized university or equivalent
Basic financial literacy (recommended)
English language proficiency where applicable
Required Documents
Applicants must submit:
Bachelor's Degree
Academic transcripts
Current CV/Resume
Passport or Government-issued ID
Passport-sized photograph
Who is this course for?
This MBA is ideal for:
Senior Managers
Executives
Entrepreneurs
Business Owners
IT Managers
Digital Transformation Leaders
Consultants
Banking Professionals
Government Executives
Healthcare Administrators
Operations Managers
Professionals seeking leadership roles in AI-enabled organizations
Career Opportunities
Chief Artificial Intelligence Officer (CAIO)
AI Strategy Consultant
Digital Transformation Director
Business Intelligence Manager
Data Analytics Manager
Innovation Manager
AI Product Manager
Technology Strategy Manager
Operations Transformation Manager
Executive Director of Digital Innovation
Programme Highlights
Students learn how information technology supports modern organizations, improves operational efficiency, and enables innovation. The module explores enterprise systems, digital infrastructure, IT strategy, and how executives can align technology investments with organizational objectives to create long-term business value.
This course demonstrates practical applications of AI across business functions. Students learn how organizations deploy AI to automate processes, improve customer service, optimize operations, enhance forecasting, and strengthen strategic decision making through real-world business cases.
Designed specifically for non-technical leaders, this module introduces the foundations of Artificial Intelligence, Machine Learning, and intelligent systems. Students gain an understanding of AI capabilities, limitations, business opportunities, and implementation strategies without requiring programming expertise.
This module examines how AI is revolutionizing modern marketing. Topics include customer analytics, predictive marketing, personalized customer experiences, automation, recommendation systems, digital advertising optimization, and consumer behavior analysis using AI technologies.
Students learn to transform organizational data into actionable business intelligence. The course focuses on interpreting business data, using analytics to support executive decisions, identifying trends, evaluating performance metrics, and improving strategic planning.
This course explores how AI enhances recruitment, employee engagement, workforce planning, performance management, and talent development. Students examine ethical considerations while learning how organizations use intelligent technologies to improve HR effectiveness.
Students gain practical knowledge of Generative AI technologies including large language models and content generation tools. The course demonstrates how businesses can improve productivity, automate workflows, create marketing content, support innovation, and streamline operations using Generative AI solutions.
This module introduces the concepts of Big Data, data management, predictive analytics, and data science within a business environment. Students learn how organizations collect, organize, analyze, and leverage large datasets to gain competitive advantage.
Students examine how emerging technologies drive innovation, business model transformation, and sustainable competitive advantage. The course emphasizes strategic innovation, digital disruption, and identifying new value creation opportunities through technology adoption.
The final module teaches students how to communicate complex business insights through dashboards, visual reports, and compelling data storytelling techniques. Graduates learn to present analytical findings clearly to executives, stakeholders, and decision-makers for improved organizational outcomes.
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