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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

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Digital Information Session

Digital Information Session on Wednesday, February 7, 2024, at 6 PM

Register here for the Info Session

Application Deadline

15th March 2024

Teilnahmeentgelt

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

  • 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 Vossen10.06.2024 - 16.06.2024

Data Management

  • 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

Data Analytics

  • Exploratory data analysis and data preprocessing
  • supervised learning (classification, regression)
  • unsupervised learning (cluster analysis, dimensional reduction)
  • model validation
  • Programming in R

IT-Management, IT-Security, Ethics, Legal Aspects

  • 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

Self-Management & Leadership

  • 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

  • Case Analysis in Data Science
  • Creative problem-solving of complex real-life cases
  • Practical implementation of chosen solutions
  • Peer feedback and reflection
  • Presentation Skills

Social Media & Communications

  • 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)

Application Areas

  • 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

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Dates und Facts


Degree

University Certificate


Department

School of Business and Economics



Duration

approx. 18 months (depending on module choice)


Start Date

10.06.2024


Application Deadline

15.03.2024


Language of Instruction

English


Location(s) of Instruction

Münster, Germany | Enschede, Netherlands


Participation Fee

7,450 €
  • 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.)


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Integrate AI Excellence: Explore Big Data’s Potential with Our Part-Time Program and Elevate Your Career in the Tech World

Master Degree Data Science

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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.

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Digital Information Session

Join us for our Digital Information Session on Wednesday, February 7, 2024, at 6 PM, featuring Prof. Dr. Heike Trautmann and 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.

Register now for the Info Session

We are happy to help you with your questions

Jannis Wegmann

Student advice and support

Mo–Fr: 9.00 am - 4.00 pm

+49 251 83 27100
jannis.wegmann@uni-muenster.de