Unlock the power of AI to shape the future of business. This cutting-edge program blends technical expertise with strategic thinking, equipping you with the skills to harness machine learning, data analytics, and automation for impactful business innovation. Whether you're aiming to optimize operations, design intelligent systems, or lead AI-driven transformations, this degree prepares you to thrive at the intersection of technology and business strategy.

Want to expand your horizons? You can transfer between EU campuses or take part in exchange programs with our OMNES sister schools and other partners all over the world. Plus, with our fast-track option, you can graduate faster by completing one or two summer semesters.

Learn how to:

• Implement AI in business processes
• Analyze data for strategic insights
• Design AI-driven innovative solutions
• Manage AI responsibly & ethically
• Develop AI-focused business models

This is a three-year, seven-semester program (240 ECTS) taught exclusively in English.

Our courses have been specifically designed to foster job-ready graduates, giving you the knowledge and skills that will equip you for the business landscape of the future.

You can also earn a Diploma of Advanced Studies by studying an optional 8th semester. 

Semester 1 (22 CH | 30 ECTS)

• Business Management
• Managing People & Organizations
• Marketing & UX
• lmpactful Communication
• Finance & Accounting
• Innovative Technology in Business

Semester 2 (22 CH | 30 ECTS)

• Creativity & Design Thinking
• Digital Branding, Advertising & Media Channels
• Responsible Management
• Economics & Enterprise
• Applied Data Analytics
• Project Management

Semester 3 (22 CH | 30 ECTS)

• Logistics & Operations
• Digital Business
• Financial Reporting & Analysis
• Entrepreneurship & Business Development
• AI Business Fundamentals
• Getting Started with Data Literacy, Big Data & Visualization

Semester 4 (22 CH | 30 ECTS)

• Strategies in A Disruptive World
• Marketing in Action
• Business Research Methods
• Principles of AI-Driven Decision-Making
• AI Product Management & Design
• Machine Learning & Deep Learning in Business

Semester 5 (22 CH | 30 ECTS)

• Creative Business Cases
• Transformational Change Management
• lnnovation in Business
• NLP, Generative AI, & Robotics in Business
• AI in Investment & Business Growth
• Responsible AI Principles

Semester 6 (22 CH | 30 ECTS)

• Global Business & Strategy
• The Business Consultancy Project Part I
• Marketing Across Cultures

Semester 7 (22 CH | 30 ECTS)

• Developing Leadership & Management
• The Business Consultancy Project Part II
• lnternational Entrepreneurship

To graduate, in addition to the listed courses, students will also have to successfully complete the following for a total of 22 CH | 30 ECTS:

Business Immersion Week

All students are required to participate in five Business Immersion Weeks during their bachelor studies. The norm is to attend once per semester or two times per year. The Business Immersion Week provides a week of dynamic and engaging activities designed to stimulate entrepreneurial thinking and develop student networking skills.

Dissertation Seminars

These seminars provide support and information for students during the dissertation process,

including the documentation and administrative requirements, and assistance with topic selection, research focus and dissertation proposals.

Final Cases: Business/Specialization

All students must prepare two final cases and successfully defend them before a panel of judges. The first is a general business case and the second is in the student's specialization subject.

Dissertation

The dissertation component marks the culminating academic requirement for students at all levels and allows them to identify and investigate real world challenges, and to produce an independent piece of academic work reflecting their knowledge, research and analysis.

Semester 8 (21 CH | 30 ECTS)

• Business Consulting & Project Management
• Entrepreneurial Leadership
• Professional Soft Skills
• AI for Change in Competitive Markets
• AI Future in Society, Economy & Sustainability
• Research & Innovation in the AI Industry

• Acquire fundamental knowledge of current AI from a primarily business-oriented perspective.
• Leverage the latest AI technologies to gain a competitive advantage in today’s dynamic business environment.
• Apply AI projects and solutions to enhance business processes, decision-making, and product/service development.
• Gain familiarity with key areas of AI (machine learning, deep learning, NLP, generative AI, etc.) in the context of digital transformation and Big Data.
• Develop into a tactical and strategic leader in creating and applying AI-driven business solutions.

On successful completion of this program, you will earn: 

• A university-specific bachelor's degree (titulo propio*) from Universitat de Vic - Universitat Central de Catalunya (Uvic-UCC), Spain
• An ACBSP and IACBE accredited bachelor’s degree from EU Business School Switzerland, which is institutionally accredited by IQA and certified by eduQua
• A state-recognised BA (Hons) in Business Management degree from University of Derby, U.K.

Optional diploma:

• You can study an additional (8th) semester of your specialization to earn a Diploma of Advanced Studies (DAS) awarded by EU Business School Switzerland.

Ready to unlock your potential? Our Career Support team will give you personalized strategies to transform your unique experience into your competitive edge and help you achieve your career dreams.

AI Operations Analyst

Monitor AI system performance, optimize workflows, & support integration of AI tools across operations.

AI Product Management Coordinator

Coordinate product development tasks, gather user requirements, & assist in managing AI solution lifecycles.

Data Analyst

Interprets data, builds reports & empowers teams with clear, strategic insight from complex numbers.

Strategy & Data Science Consultant

Analyze market trends, develop models, & support clients in solving strategic & data-driven challenges.

Machine Learning Project Associate

Support machine learning project execution, coordinate tasks, & ensure timely delivery of data science milestones.

These are the admission requirements for this bachelor's program. If you're not sure if you meet our requirements, contact us for a personalized assessment. Our team is here to help!

Academic requirements:

One certified copy of high school diploma and transcripts; or equivalent

Proof of English level: 

TOEFL score 79/4 (as of Jan 2026) (internet-based), 211 (computer-based); IELTS 6.0; CAE B2 with a minimum score of 169; minimum PTE-A of 59; native speaker of English or equivalent.