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 University of Applied Sciences at the Berlin campus, in the heart of the city. 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.

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.

The degree programme has been awarded the quality seal of the Accreditation Council Foundation. The Accreditation Council Foundation is a joint institution of the federal states of Germany for quality assurance in study and teaching at German universities.

Gisma University of Applied Sciences is state recognised. It also benefits from AMBA accreditation, which was awarded for the Global MBA and is an honour shared by only 6 universities in Germany and 2% of all universities worldwide. The prestigious AMBA accreditation represents innovation and excellence in education.

Gisma University of Applied Sciences supports flexible and individual learning by applying a systematic hybrid learning scheme. You will spend part of your lectures in class at our Berlin 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.

The full-time bachelor’s degree programme comprises a standard study period of six semesters. The curriculum includes a ‘mobility window’ in the 5th semester: a semester reserved for you to study abroad or undertake further modules with an applied focus as part of career development.

For the bachelor’s programmes, the total student workload for the courses is 180 ECTS credits.

A key element of this programme is the Career Development Semester, within which you will work on an end-to-end data science project. This project will allow you to work on a business problem, similar to what you may be given by a future employer. You will take this problem and develop a solution by collecting data, then building software to resolve the problem. You will then evaluate, test, and deliver the business solution, just like you would for an employer or client.

Data Science and AI

Python Programming

Data Structures & Algorithms

Databases & Big Data

Data Mining

Data Integration

Artificial Intelligence & Machine Learning

Applied Statistical Modelling

Data Visualisation

Data Driven Strategic Decision Making

Data Governance, Security and Ethics

AI Studio

General Business Competencies

Digital Transformation and Cases

Fundamentals of Marketing

Sustainability Management

Project Management

Innovation Management in a Digital and Globalised World

Digital Marketing and Analytics

AI Applications for Digital Business

Data Driven Business Models

Action and Intercultural Competencies

Creative Problem Solving and Strategy Development

End-to-End Data Science Project

Business Start-up Simulation

Internship

Study Abroad Option

Scientific and Methods Competencies

Mathematical Foundations

Statistics

Academic Writing and Research Methods

Bachelor Thesis

Computer technologies are integral to modern day life and essential to nearly all modern businesses. Today, we see advanced movements towards some form of digitisation in all aspects of life. As a computational engineering graduate, you will be in high demand across many industries, including IT, software engineering, information technology, web design, and more.

Potential graduate opportunities: app or games developer, web developer, information systems manager, IT consultant, multimedia programmer, network engineer, software developer.

General university entrance qualification

English proficiency: B2 (IELTS 6.0 overall, no less than 5.5 in any component) or equivalent scores in TOEFL iBT, Pearson PTE or Duolingo. Gisma also offers an English test free of charge.

International students must conduct an entrance test.