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University Certificate
Data Science
Integrate AI Excellence: Explore Big Data's Potential with Our Part-Time Program and Elevate Your Career in the Tech World
Free Spots
10
Deadlines
Application deadline: September 15, 2025 Program start: November 24, 2025
Study Fee
7.450 €
Concepts & Modules
The certificate program “Data Science” is aimed at professionals in the field of data analysis, computer science and statistics as well as professionals from all industries and fields in which large amounts of data are generated and are either already used or should be used. The program offers the opportunity to acquire and deepen practice-relevant knowledge and skills in the field of Data Science.The program consists of a total of four modules of the English-language, part-time master’s program “Data Science”, which is a cooperation between the University of Münster and the University of Twente (Netherlands). Participants can choose to combine the modules according to their individual preferences.The first basic module, “Introduction to Data Science and Programming Systems”, comprises seven days of attendance in Münster.
The other two modules of choice selected from the Master’s program have five attendance days each in Münster or Enschede. The fourth module consists of writing a project work and holding a presentation. Participants acquire a total of 32 ECTS credits in the program. The standard period of study is approximately 18 months, including the final examinations. In case of a subsequent entry into the Master’s program “Data Science”, crediting of the completed modules is possible. Profiles from all industries are welcome – prospective students should have a basic understanding of programming, statistics and mathematics.
Introduction to Data Science and Programming Systems
November 24th – November 30th, 2025
- Introduction to data science and its applications.
- Overview of programming systems: R and Python
- Fundamentals of Python programming: variables, control structures, data structures, etc.
- Introduction to R programming: data structures, functions, loops, etc.
- Exploratory data analysis using R.
Prof. Dr. Heike Trautmann
Prof. Dr. Gottfried Vossen
Data Management
February 23rd – February 27th, 2026
- Data Management with SQL and NoSQL systems, application for OLAP tasks
- Distributed file systems (HDFS)
- Algorithms of data mining, map reduce applications, determination of similarity, recommendation, community detection
- Advanced Python
- Development of a Data Science workflow
- Tool selection
- Building LLMs from scratch – text processing, attention mechanisms, GPT implementation, pretraining, fine-tuning for spam classification
Prof. Dr. Gottfried Vossen
Data Analytics
May/June 2026
- Exploratory data analysis and data preprocessing
- supervised learning (classification, regression)
- unsupervised learning (cluster analysis, dimensional reduction)
- model validation
- Programming in R
Prof. Dr. Heike Trautmann
Prof. Dr. Pascal Kerschke
Social Media & Communications
September 2026
- Social research using big data and online sources
- Basics of online communication and psychology
- Network analysis using R, including base concepts, matrix calculations and (sub)structure detection
- Computation content analysis using R, including Natural Language Processing, Sentiment Analysis, Topic Modeling
- Advanced Methods of text analysis (preview)
Prof. Dr. Thorsten Quandt
IT-Management, IT-Security, Ethics, Legal Aspects
November 2026
- Management challenges of growing data volumes
- IT security considerations in data management
- Ethical aspects in IT management and data handling
- Legal framework and regulations for data management
- Utilizing open data for generating value
Prof. Dr. Jos van Hillegersberg
Self-Management & Leadership
February 2027
- Influence of data science results on management decisions
- Data science as part of decision-making processes
- Behavior of executives and the special role of data scientists
- Quality of innovative teams and their effects on data science results
- Methods for effective negotiations
- Methods for presenting and discussing data science results with decision makers
Practical Phase & Project Work
Kick-Off: October 2026 (online)
- Case Analysis in Data Science
- Creative problem-solving of complex real-life cases
- Practical implementation of chosen solutions
- Peer feedback and reflection
- Presentation Skills
Dr. Niels Pulles
Application Areas
May 2027
- Hands-on workshop: Advanced methods of text analysis using AI (including LLMs / transformer models)
- Data-driven decision making
- Application of learned techniques marketing, customer relationship management, supply chain management, logistics, start-ups, etc.
- Future developments: critical discussions about the future of data-driven decisions, including the potential for automated decisions by machines
- Interdisciplinary approach
Prof. Dr. Thorsten Wiesel
Lecturers & Scientific Management
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Dates und Facts
Degree
University Certificate
Credit points
32 ECTS
Department
School of Business and Economics
Duration
approx. 18 months (depending on module choice)
Start Date
November 24, 2025 (1st on-site module)
Application Deadline
September 15, 2025
Language of Instruction
English
Location(s) of Instruction
Münster, Germany | Enschede, Netherlands
Participation Fee
- by arrangement as an individual payment plan
- exempt from VAT pursuant to § 4 No.21 a (bb) UStG
Target Audience
working professionals from the fields of e-commerce, logistics, social media, consulting, analysis and any field that benefits from the usage of big data
Admission Requierments
- Completion of a first academic degree
- Professional working experience of at least one year
- Evidence of English language proficiency at level B2 (TOEFL, IELTS, etc.)
Free spots
10
Do you want to obtain a master's degree?
Integrate AI Excellence: Explore Big Data’s Potential with Our Part-Time Program and Elevate Your Career in the Tech World
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Digital Information Session
Join us for our Digital Information Session on Tuesday, April 1, 2024, at 5:30 PM, featuring Prof. Dr. Gottfried Vossen, who will discuss our Master's and Certificate Programs in Data Science. Explore the study options available and get answers to your individual questions.
In Cooperation with the University of Twente
"The University of Twente is a smart living lab where talented students and stuff provide groundbreaking research, exiting innovations and inspiring education."
Therefore we are happy to have Twente as a strong educational partner.
Data Science (M.Sc.)
On the one hand, digitalisation facilitates numerous processes and opens up design possibilities that would not have been conceivable until recently; on the other hand, companies and institutions are thus faced with new challenges brought about by digitalisation and the volumes of data that accompany it.
We are happy to help you with your questions
Jannis Wegmann
Student advice and support
Mo–Fr: 9.00 am - 4.00 pm