Bachelor of Science (BSc) in Artificial Intelligence
Validated by Swiss School of Business and Management (SSBM)
Duration
3 yearsStudy Mode
OnlineTotal Tuition
€10,500Monthly Payment
Payment plan is available. Please discuss this with your admissions advisorQualification
Bachelor’s DegreeStart Date
Students may begin at any time throughout the year, as the program is fully online and self-paced with rolling admissions.Programme Overview
The Online Bachelor of Science (BSc) in Artificial Intelligence from SSBM Geneva is a 100% online, three-year Swiss bachelor's degree designed for students who want to build practical expertise in Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, Generative AI, and the business applications of emerging technologies. The program combines technical AI knowledge with business, management, ethics, and digital transformation, preparing graduates to develop AI-driven solutions that solve real-world problems across industries. Students benefit from a flexible online learning model that includes both self-paced study and live webinars, making it ideal for working professionals throughout the Caribbean.
Unlike many traditional computer science degrees, this program places significant emphasis on applying AI within business environments. Students learn how AI is transforming finance, marketing, human resource management, operations, project management, and organizational decision-making while also exploring ethical AI development and responsible innovation. Throughout the program, learners complete practical AI projects, an internship, and a final research thesis, ensuring graduates possess both theoretical knowledge and practical experience that employers increasingly demand.
Entry Requirements
Applicants should have:
High School Diploma, Swiss Baccalaureate, International Baccalaureate, or equivalent qualification
Vocational qualification equivalent to Swiss standards (where applicable)
Academic transcripts
Current CV or Resume
Proof of English proficiency for applicants from non-English speaking countries
Good news for Caribbean students: Applicants from English-speaking Caribbean countries generally satisfy the English language requirement because English is the official language of instruction.
Who is this course for?
This program is ideal for:
Recent secondary school graduates interested in AI
Working professionals wanting to transition into technology
Business professionals seeking AI and digital transformation skills
Entrepreneurs building AI-enabled businesses
Software developers looking to specialize in AI
IT professionals seeking career advancement
Data analysts expanding into Machine Learning
Professionals preparing for the future digital economy
Career Opportunities
Artificial Intelligence Engineer
Machine Learning Engineer
Data Scientist
AI Solutions Consultant
Business Intelligence Analyst
AI Software Developer
Digital Transformation Specialist
AI Product Manager
Data Analytics Consultant
AI Research Assistant
Programme Highlights
The foundational course that introduces the principles of AI, intelligent systems, search algorithms, reasoning, and machine learning concepts. It provides the knowledge base upon which all advanced AI courses are built.
Covers the collection, preparation, analysis, and interpretation of data. Students learn statistical analysis, predictive modeling, and data visualization—the essential skills required for developing AI solutions.
Focuses on today's fastest-growing AI technologies, including Large Language Models (LLMs), AI assistants, prompt engineering, content generation, and responsible use of generative AI in business environments.
Teaches students how to build applications that integrate AI models into software solutions. Learners develop practical programming skills using AI tools to automate workflows and improve business processes.
Explores how AI powers robotics, smart cities, autonomous systems, IoT, healthcare innovations, blockchain, and other next-generation technologies that are shaping the future economy.
Introduces techniques for managing and analyzing massive datasets. Students learn how big data supports machine learning, business intelligence, predictive analytics, and organizational decision-making.
Demonstrates how AI transforms digital marketing through customer segmentation, predictive analytics, recommendation systems, marketing automation, personalization, and consumer behavior analysis.
Examines AI applications in banking, investment analysis, fraud detection, financial forecasting, credit scoring, and risk management, preparing students for careers in the rapidly evolving financial sector.
Shows how AI enhances talent acquisition, workforce planning, employee engagement, performance management, and HR analytics while addressing ethical and legal considerations.
Covers the ethical, legal, and social implications of artificial intelligence, including bias, fairness, privacy, transparency, governance, cybersecurity, and responsible AI development—an increasingly critical area for every AI professional.
Brings together the technical and business aspects of AI by teaching students how organizations use AI to improve operations, automate decision-making, increase productivity, and drive digital transformation.
Serves as the program's culminating practical experience before the internship and thesis. Students design and implement a comprehensive AI solution, demonstrating their ability to solve real-world business challenges while showcasing the technical and analytical skills employers seek.
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