English 
Deutsch Who is suitable for the Master’s in Data Science at UE?
The Master’s degree programme in Data Science at the University of Europe for Applied Sciences is aimed at university graduates with a first degree in computer science, mathematics, engineering, natural sciences or business who wish to deepen their skills in data analysis, machine learning and big data technologies. The target group in particular are career starters and professionals who want to develop and implement data-driven decision-making processes in companies. The programme is also suitable for lateral entrants with solid knowledge of statistics who are seeking specialisation in the growth area of Data Science.
Which formal requirements must you meet?
A successfully completed university degree (Bachelor’s or equivalent qualification) is required. Your first degree should ideally have a connection to computer science, mathematics, statistics, economics or related disciplines. To be admitted to the Master’s in Data Science, you also need:
- Proof of sufficient statistics knowledge (at least 3 ECTS in statistics; alternatively you can complete a pre-master course at UE)
- Good English skills (at least language level B2, as the courses are predominantly held in English)
- Fully completed application form as well as CV and copy of passport
A separate portfolio is not required.
You should have a strong analytical mindset and an interest in working with large data sets. Enthusiasm for interdisciplinary issues and openness to digital innovation processes are important, as the degree programme offers flexible elective modules in areas such as Game Design, UX/UI Design or Digital Media Communication. Good self-organisation skills and teamwork competence are advantageous, as practical projects and collaboration with cooperation partners make up a large part of the study programme. Prior programming knowledge as well as confident use of statistics or analysis tools will facilitate a successful start.
What content is taught in the Data Science Master's programme at UE?
In the Data Science Master's programme at the University of Europe for Applied Sciences, you acquire all the key skills in data analysis, data processing, and digitalisation that are in high demand across various industries. The programme relies on a combination of theoretical knowledge and practical applications related to handling large data volumes (Big Data) as well as data-driven decision-making in companies.
- Data Analytics & Artificial Intelligence: Analysis of complex datasets, development of algorithms and machine learning for predictions and optimisations.
- Data Visualisation & Statistics: Statistical methods, exploratory data analysis, information preparation, and presentation of results for business decisions.
- Data Engineering & Data Management: Design and implementation of data pipelines, handling of data warehouses, data integration via ETL processes, as well as data quality and data security.
- Ethics & Data Protection: Legal and ethical foundations of data analysis, data protection regulations in digital transformation.
- Elective Modules: Individual specialisation options in areas such as Game Design, UX/UI Design or Digital Media Communication as well as a module on contemporary leadership and culture.
Upon completion of the programme, you will have in-depth knowledge in problem solving, data preprocessing, and presentation of analysis results. You will be capable of planning and implementing data projects independently, taking both the technical and strategic perspective.
How is the Data Science programme structured at UE?
The Data Science Master's programme at the Potsdam campus leads to the Master of Science (M.Sc.) within the standard study period of 4 semesters and comprises 120 ECTS credits. Teaching mainly takes place on-site and in English. The study organisation is flexible and can be coordinated with professional or international commitments. Start dates are possible several times a year (January, March, July and September).
- Practice-oriented teaching on three to four days per week (mostly Wednesday to Saturday).
- Project-based learning with case studies, practical projects in collaboration with companies, and a close connection between theory and application.
- Individual elective areas and specialisations to tailor the course to your professional goals.
- Use of modern laboratories and IT infrastructure such as VR labs, data labs, visualisation tools on campus.
- Final phase with a master’s thesis, in which an independent data-driven research or practical project is realised.
By focusing on interdisciplinary content and integrating company projects, you develop practical skills and a personal network for starting your career.
What career opportunities does the Data Science Master open up?
As a graduate of the Data Science Master at UE, you have the skillset that is highly sought after in the digital economy, consulting, and research departments. The entry and development opportunities are diverse:
- Data Scientist: Development, validation, and optimisation of data models to solve business-related questions.
- Data Analyst: Analysis and interpretation of complex datasets, identification of trends and patterns to support decision-making.
- Big Data Engineer: Building and operating large data infrastructures, data integration, and process automation within companies.
- Data Consultant: Professional advice on the implementation of data-driven business models and digitalisation projects.
Across industries, you can work in fields such as technology, healthcare, financial services, media, mobility, or the public sector. According to the provider, the expected salary range (depending on industry, experience, and company size) is approximately €60,000 to €300,000 annually. More than 90 percent of UE graduates find employment within one year after graduation.
What is the study location like for Data Science at UE?
The Data Science Master's programme is conducted at the Innovation Hub of the University of Europe for Applied Sciences in Potsdam. This campus specialises in technologies of digital transformation and is located near the SAP Innovation Centre as well as other technology companies.
- Potsdam: A science city with a high density of research institutions, about 25 minutes from Berlin.
- Modernly equipped campus: Data labs, VR and gaming labs, iMacs, modern seminar and project rooms.
- Opportunities for excursions, practical projects, and networking on site.
Studying at the international campus in Dubai is also optionally possible. The proximity to significant companies in the IT and digital economy fosters the transfer of knowledge between research and practice.
What costs and financing options should you expect?
For the Data Science Master (120 ECTS) at the University of Europe for Applied Sciences, monthly tuition fees of €820 apply. This results in a total cost of €19,680 for the entire duration of study.
- The tuition fees cover all essential services and the use of modern university infrastructure.
- UE offers numerous scholarship programmes (e.g. Women-in-Tech, Digital Pioneers, BVB Scholarship, Diversity Scholarship), which are awarded based on talent, commitment or background.
- Additionally, there are options for instalment payments as well as financing through banks and student loans.
- Eligibility for BAföG or other public funding can be checked (especially for EU citizens).
- Application and study counselling are free of charge beforehand.
UE supports you with all questions regarding scholarships, funding opportunities, and financing models throughout the entire course of study.
Advisory Service
Have questions about Academic Programs Data Science? Ask your question here, even anonymously. An employee of the institution University of Europe for Applied Sciences or the editorial team will answer you.
I m Mubasher Babar from pakistan. I am really interested in Masters in data science at University of Europe for Applied Sciences. I m going to switch my career from accounting and finance to data science. I am already doing freelancing in this field and really passionate in this program. Kindly tell me which documents i have to prepare for this scenario. thanks
since you're an international applicant from Pakistan, here are the required documents and considerations for studying in Germany:
- Application form: Fully completed.
- CV and passport copy.
- Bachelor's degree: In any field, though your transition from finance to data science is fine.
- English proficiency: Minimum B2 level.
- Basic statistics: 3 ECTS or a Pre-Master course.
- Visa and financial proof: You'll need a student visa, and proof of financial resources (e.g., blocked account) is often required for international students.
Additionally, check with the German consulate for visa requirements specific to Pakistan. Good luck with your application!