Bachelor in Artificial Intelligence for Business

EU Business School

Combine the power of technology with strategic business insight to lead the AI-driven transformation of industries. This innovative program equips you with the knowledge of machine learning, data analytics, and automation to design intelligent solutions, optimize decision-making, and drive sustainable business innovation in the digital era.

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Bachelor

Programme level

36 months

Study duration

19,128$

Cost per year

English

Study language

Programme info

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)

  • Consultancy Project I
  • Organizing and Managing Across Borders
  • International Trade and Finance
  • The Practice of Management


Semester 7 (22 CH | 30 ECTS)

Consultancy Project I

Organizing and Managing Across Borders

International Trade and Finance

The Practice of Management

Consultancy Project II

Practicing Business Strategy

Leading Innovation

The Practice of International Business

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.

  • 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-campus

On successful completion of this bachelor’s (título propio*) + BA (Hons) in Business Management program, you will earn: 

  • A university-specific bachelor’s degree (título propio*) awarded by Universitat de Vic – Universitat Central De Catalunya (UVic-UCC), Spain.
  • A Certificate of Specialization in one of the eight majors from EU Business School Switzerland.
  • A state-recognized Dublin Business School BA (Hons) in Business awarded by Quality and Qualifications Ireland.


The degree programs (títulos propios*) awarded by the Universitat de Vic - Universitat Central de Catalunya (UVic-UCC), are authorized to be delivered at EU Business School Munich GmbH in accordance with Article 112 of the Bavarian Higher Education Innovation Act (BayHIG).


Online

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 BSc (Hons) in International Business Management degree from London Metropolitan University, 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 Business Bridging Program. If you're not sure if you meet our requirements, contact us for a personalized assessment. Our team is here to help!


One of the following or equivalent: 

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


Proof of English level: 

TOEFL score 79 (internet-based), 211 (computer-based), 550 (paper); IELTS 6.0; CAE B2 with a minimum score of 169; minimum PTE-A score of 51; native speaker of English or equivalent

Programme campus:

Munich

University’s main campus:

EU Business School

Munich, Germany

Programme name:

Bachelor in Artificial Intelligence for Business

Field of study:

Business & Management, Digital Business, Data & Technology

Programme level:

Bachelor

Programme language:

English

Language requirements:

TOEFL: 79

IELTS: 6

Duration & semesters:

36 months / 7 semesters

Next admission date:

01 Jun 2026

Programme pricing

Study mode Workload Duration Cost per year Total cost
On-campus Full-time 36 months 19,128$ 57,384$
Online Full-time 36 months 19,128$ 57,384$
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Study at EU Business School

Munich

An international hub for future business leaders, combining practical learning, entrepreneurship, and innovation. With a diverse community, expert faculty, and strong industry links, students develop the skills and mindset to build successful global careers.

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