The Bachelor of Applied Data Science & Business Analytics is designed for students who want to combine business knowledge with data science, artificial intelligence, programming, and analytics. The programme prepares graduates to analyze large datasets, develop data-driven business strategies, and solve real-world business problems using modern digital technologies.

Key Reasons to Choose this Programme

• 100% English-taught programme
• Combines Business Administration with Data Science and Information Technology
• Focus on Artificial Intelligence, Machine Learning and Business Analytics
• Strong practical orientation through real company projects
• 20 weeks of compulsory internships
• One compulsory semester abroad
• Optional second international semester through the Global Track
• Double Degree opportunity with a partner university in Australia
• Access to approximately 190 international partner universities
• AACSB-accredited business school
• Excellent preparation for careers in the rapidly growing fields of AI, analytics and digital transformation.

Programme Structure / Subjects

The curriculum combines business management, information technology, statistics, programming and data analytics.

Business Foundation

• Business Administration
• Economics
• Business Mathematics
• Accounting
• Marketing
• Management
• Project Management

Data Science & Technical Subjects

• Programming
• Databases
• Big Data
• Business Intelligence
• Artificial Intelligence
• Machine Learning
• Statistics
• Data Analytics
• Business Analytics
• Digital Transformation
• IT Trends
• Data Visualization
• Research Methods

Practical Components

• Company consulting projects
• Workshops
• Industry excursions
• Semester abroad
• 20-week internship
• Bachelor's thesis

Disciplines / Specialisations Offered

Students can develop expertise in areas such as:

• Applied Data Science
• Business Analytics
• Artificial Intelligence
• Machine Learning
• Business Intelligence
• Data Management
• Digital Transformation
• Analytics & Dynamics
• Market Analytics
• Programming Technologies
• IT Management.

Programme Highlights

• 100% English-taught
• Bachelor of Science degree
• AACSB-accredited business school
• Strong integration of Business and Data Science
• Artificial Intelligence and Machine Learning focus
• 20 weeks of compulsory internships
• One compulsory semester abroad
• Optional Global Track with second international semester
• Double Degree opportunity with an Australian partner university
• Access to approximately 190 partner universities worldwide
• Practical learning through real company projects, workshops and business excursions.

Career Outcomes

Graduates are prepared for careers in rapidly expanding digital and analytical fields, including:

• Data Scientist
• Business Analyst
• Data Analyst
• Business Intelligence Analyst
• Machine Learning Analyst
• AI Consultant
• IT Consultant
• Digital Transformation Consultant
• Data Engineer
• Business Intelligence Developer
• Analytics Consultant
• Technology Consultant
• Information Systems Analyst
• Data Strategy Specialist
• Product Analytics Specialist

Visa Requirements

International students from outside the EU/EEA generally require a German National Student Visa before travelling to Germany.

Typical requirements include:

• Valid passport
• Official ISM admission letter
• Proof of sufficient financial resources (such as a blocked account or equivalent)
• Valid health insurance
• Academic certificates and transcripts
• English language proficiency documents
• Completed visa application forms
• Proof of accommodation (if requested)
• Visa application fee

Latest Updates / Special Requirements

• Programme is 100% taught in English.
• Available as a full-time on-campus programme at Dortmund, Frankfurt/Main, Munich and Hamburg campuses.
• Two annual intakes: March and September.
• Includes 20 weeks of compulsory internship with an international focus.
• Features one compulsory semester abroad and an optional second semester abroad through the Global Track.
• Students have the opportunity to earn a Double Degree with a partner university in Australia.
• The curriculum has been updated to include emerging topics such as Artificial Intelligence, Machine Learning, Big Data, Business Intelligence and Digital Transformation, ensuring graduates are prepared for evolving industry demands.