Data Science, Bachelor of Science

Who is suitable for the Bachelor Data Science programme at XU Exponential University?

The Bachelor’s degree programme in Data Science at the XU Exponential University of Applied Sciences is aimed at everyone seeking a solid education in data analysis, artificial intelligence, and modern technologies. The target group is particularly school leavers with general or subject-specific higher education entrance qualifications who are looking for a practical entry into the world of digitalisation, data, and innovation. People interested in economic processes, digital business models, and the transfer of data knowledge into companies and organisations are also addressed. Ideal applicants bring analytical thinking, willingness to work with data and digital tools, as well as curiosity for new technologies.

Admission requirements for the Data Science degree

• General higher education entrance qualification (Abitur) or subject-specific higher education entrance qualification: Classical admission requirement for Bachelor studies in Germany.
• Advanced technical college entrance qualification: Also recognised for studying at XU Exponential University.
• International qualifications: Applicants with a foreign higher education entrance qualification may apply if their degree is recognised as equivalent.
• Proof of English language skills: The degree programme is conducted entirely in English. Usually, language certificates such as TOEFL or IELTS are required.
• Further documents (depending on the individual case): Motivational letters and/or interviews may be part of the admission process.

Personal requirements for studying Data Science are:

• Analytical thinking: Working with numbers, data, and statistics forms the foundation of the degree.
• Motivation for problem solving: Enjoyment in understanding complex questions and translating them into innovative solutions.
• Interest in digitalisation and new technologies: Openness to technical developments in Data Science, Machine Learning, and Artificial Intelligence.
• Communication skills: Ability to present and explain results and contexts clearly, also to non-experts.
• Basic knowledge of mathematics and/or computer science: Helpful but not mandatory – the degree imparts the relevant basics step-by-step.
• Independent learning: Willingness to independently explore new tools and methods, for example within the framework of projects or stays abroad.

Course Content in Detail

In the Bachelor's degree programme Data Science at XU Exponential University of Applied Sciences in Potsdam, you will learn the central methods and tools of data science. The programme combines theoretical foundations with practical application and covers, among other things, the following content:

• Fundamentals of Data Science: Introduction to data science, data structures, programming, data modelling and databases.
• Data Analysis & Visualisation: Collection, visualisation and evaluation of data, quantitative methods, big data and smart data.
• Algorithms & Programming Techniques: Development and implementation of algorithms for data processing and analysis.
• Machine Learning & Artificial Intelligence: Construction and application of AI systems, machine learning, text mining and information retrieval.
• Data and Cyber Security: Strategies for securing data, data protection, data ethics and legal frameworks.
• Communication & Innovation Management: Communication skills, innovation methods such as design thinking or lean startup, cooperation and presentation techniques.
• Practice & Projects: Practical projects, labs, simulations, excursions, a compulsory internship as well as an optional semester abroad.

In the 5th and 6th semesters, you will additionally choose two specialisations (electives) from the following:

• Programming and Optimization
• Domain Specific Case Studies and Tools
• Web Technologies
• Security
• Computational Intelligence
• Team Management

This allows you to shape your profile individually according to your goals and interests in the field of data science.

How is the course structured?

The programme comprises a standard period of study of 6 semesters in on-campus attendance and is accredited with 180 ECTS credits. The courses are held in English and start annually in October. The curriculum is practice-oriented and includes various project and laboratory phases:

• Semesters 1–3: Teaching of core data science competencies, data-driven project management, digital skills, communication and innovation methods.
• Semester 4: Option to complete a semester abroad at an international partner university or to participate in the Entrepreneurship and Innovation Training on the Potsdam campus.
• Semesters 5–6: Deepening of digital competencies through elective modules; individual specialisation.
• Practical Components: Internship in Germany or abroad, intensive project phases, application of acquired knowledge in corporate practice.
• Bachelor Thesis: Final thesis with practical relevance, often in cooperation with companies.

With the StudyBeyond concept, you also have the possibility to combine your studies with employment and apply your knowledge directly in your professional life.

Career Opportunities and Professional Prospects after Graduation

As a graduate of the B.Sc. Data Science, you will be prepared to develop data-based solutions for companies, agencies and organisations. Typical fields of work include:

• Data Science and Data Analytics
• Data and Information Security
• Research and Development
• Innovation Management
• Marketing Management
• Business Development
• Consulting

Your skills are in demand across a wide range of sectors, including business, start-ups, agencies, public administration and research institutions. The qualification also opens up interface positions between technology, management and innovation.

Location of the Programme

The programme takes place at the campus of XU Exponential University of Applied Sciences in Potsdam. In the fourth semester, there is the possibility to spend a semester abroad at a partner university.

Costs and Financing Options

The tuition fees amount to 694 euros per month or 4,164 euros per semester. The total costs for the six-semester programme are 24,990 euros. The university supports you through the StudyBeyond concept, which enables a combination of studying and working. This allows you to generate your own income during your studies and apply your knowledge directly in practice.