Digital Info Session on 12.11.2024 at 6pm!
Data Science (M.Sc.)
Integrate AI Excellence: Explore Big Data's Potential with Our Part-Time Program and Elevate Your Career in the Tech World
Free Spots
5
Deadlines
Last spots available, apply until October 11, 2024
Program start: November 18, 2024
Study Fee
16.950 €
Nina Wagner, graduation 2024
The university sets the right focus on relevant topics so that students are ideally prepared for a career in the field of data science.
Your Masters Degree in Data Science
Our English-speaking interdisciplinary and international Data Science Master program is designed for full-time working professionals and equips you with the essential skills to tackle the challenges posed by the ever-growing volume, velocity, and variety of data, commonly known as ‘big data‘. Alongside a strong foundation in programming, data analysis, data management, and AI, the program especially focuses on hands-on application within real-world business settings. Participants will learn about cutting edge developments in AI and Deep Learning (e.g., Large Language Models).
Lecture & Modules
The standard period of study for the Master’s program in Data Science is 4 semesters. During this time, you will complete 9 modules, including a project work and the Master’s thesis. An optional preparatory course in e-learning format is also offered. The program is designed for high compatibility with your profession. Modules are typically conducted in blocks of five consecutive days (Monday to Friday). On average, a module takes place every 6 to 12 weeks.
The lectures are held in groups with a maximum of 25 participants, spanning a total of 37 days of in-person attendance. In addition to its interdisciplinary approach, the uniqueness of the program lies in its international collaboration between the University of Münster and the University of Twente, offering courses in English. This part-time education leads to a full Master of Science degree from the University of Münster.
Introduction to Data Science and Programming Systems
November 18th – November 24th, 2024
- 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 Analytics
January 07th – January 11th, 2025
- 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
February 24th – February 28th, 2025
- 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
Data Management
February 24th – February 28th, 2025
- 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
Prof. Dr. Gottfried Vossen
IT-Management, IT-Security, Ethics, Legal Aspects
June 30th – July 04th, 2025
- 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
Application Areas
September 2025
- 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
Practical Phase & Project Work
Kick-Off: October 2025 (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
Self-Management & Leadership
November 3rd – November 7th, 2025
- 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
Lecturer & Academic Director
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Find out more about your Master
Contact us for a personal consultation
Find out what qualifications are required
Dates and Facts
Degree
Master of Science
Credit points
90 ECTS
Department
School of Business and Economics
Duration
4 Semesters
Start Date
18.11.2024 1st on-site module
Application Deadline
Last spots available, apply until October 11, 2024
Language of Instruction
English
Location(s) of Instruction
Münster, Germany | Enschede, Netherlands
Participation Fee
16.950 € in three instalments
- an individual payment plan may be arranged
- 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
5
Do you want a knowledge update on AI and Data Essentials
Customize your focus by selecting modules from the Data Science master’s program and design your University Certificate.
Further Topics
Digital Information Session
Join us for our Digital Information Session on Tuesday, November 12, 2024, at 6 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.
Certificate in Data Science
The certificate provides the knowledge and practical skills necessary for data managers to analyze "Big Data". It comprises four modules (2 elective & 2 compulsory) from the English-language, part-time master's program.
We are happy to help you with your questions
Jannis Wegmann
Student advice and support
Mo–Fr: 9.00 am - 4.00 pm