BSc Data Science, AI & Digital Business

This unique combination of business and technology will help you build a future-oriented career in a global company or innovative start-up. 
Become an expert in data science by mastering analytics, visualisation, and governance of data, and discover the fascinating world of AI. This programme also covers general business skills, which will boost your employability. 
You will benefit from a highly international atmosphere by studying at GISMA Business School at the Berlin-Potsdam campus, in close proximity to global companies such as SAP. You’ll also have the opportunity to spend a semester abroad – choose from a selection of leading technology hubs such as London, Shanghai, and Singapore. You can combine this with an internship or business project so that you’ll be ready to kick-start your career as soon as you graduate.

Accreditations and rankings
GISMA Business School also has a long history of working with partner universities in Europe and has successfully delivered partner programmes accredited by AACSB, AMBA, EQUIS, and EPAS.

Who is the programme for?
The programme is perfect for those who are passionate about data and cutting-edge technology and who seek to combine this passion with general business skills and intercultural competencies to enhance their job prospects in the field of data and AI.

What will you learn?
This programme covers all aspects of data science, from statistical modelling to big data and data governance. You’ll dive into the highly relevant topic of AI and predictive analytics and you’ll learn to make strategic decisions based on data. You will also acquire intercultural communication skills and digital business competencies such as digital marketing and economics. With this diverse and valuable skillset, you will be an asset to any technological company anywhere in the world.

How will you study? 

GISMA Business School supports flexible and individual learning by applying a systematic hybrid learning scheme. 
You will spend part of your lectures in class at our Berlin-Potsdam campus. These face-to-face phases are complemented by e-learning sessions. You will work on cases, reflect on readings, take part in online discussions, and participate in group exercises and projects. This variety of learning methods is part of our unique teaching strategy, which includes student-centred pedagogy, project-based learning, collaborative learning, and personalised coaching. 

Programme Structure

Data Science and AI
• Data, AI and the Digital Enterprise
• Introducing Computing and Information Technology
• Data Analytics and Computing Tools
• AI and Predictive Analytics
• Analysing Data
• Applied Statistical Modelling
• Data Visualisation and Big Data
• Data Driven Strategic Decision Making
• Data Governance, Security and Ethics
General business competencies
• Digital Transformation and Cases
• Economics and Digital Economics
• Marketing
• Circular Economy and Sustainabilty
• Project Management
• Innovation Management in a Digital and Globalised
World
• Digital Marketing and Analytics
• Leadership in a Digitalised & Globalised World
Action and intercultural competencies
• Foreign Language I
• Intercultural Skills and Ethics
• Creative Problem Solving and Strategy Development
• Internship
Study Abroad, Internship or Career Development Semester
Scientific and Methods Competencies
• Business Mathematics
• Statistics
• Academic Writing and Research Methods
• Bachelor Thesis

Entry requirements

• General university entrance qualification 
• English proficiency: B2 (IELTS 5.5) or equivalent
• Non-standard entry: non-standard applicants are welcome to apply.  Enquire for more details

25%  early bird offer*
*For applications submitted at least 8 weeks before orientation date.