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As a Data Scientist, you occupy a key position when it comes to dealing with large and unstructured data sets and extracting knowledge from it. Our Master's in Applied Data Science and Analytics is the right fit for you.
As a Data Scientist, you occupy a key position when it comes to dealing with large and unstructured data sets and extracting knowledge from it. Our Master's in Applied Data Science and Analytics is the right fit for you.
In the Master’s programme Applied Data Science and Analytics, you will gain in-depth knowledge and an understanding of the complete data science process. You will learn how to apply mathematical,
statistical, analytical, and machine learning/deep learning techniques to gain insights from large and often unstructured datasets.
The data visualization and storytelling part of this programme will enable leveraging the data to reveal valuable insights to the stakeholders for decision making. You will also learn with us in a practice-oriented manner: you will work together with real customers in project-related modules. In addition, you will complete a three-month mandatory internship at a company of your choice, and additionally you can write your master thesis in cooperation with a company. This gives you almost a year of professional experience during your studies.
Having a Master of Science degree in “Applied Data Science and Analytics” and qualification in all layers of data science will give you the best chance across all sectors, including the manufacturing industry, banks, insurance companies, the IT sector, consulting, public or industrial research institutes, the public health sector as well as colleges and universities. Graduates from previous years now work for ABB, Heidelberg Cement, Airbus, Accenture, Adidas, Audi, Bosch, BMW, BASF, Deloitte, Deutsche Börse, DKFZ, PWC, SAP, and Verivox, as well as for successful SMEs. Our programme will also qualify you for a position in the public sector, work in research, and Ph.D. programmes.
Possible fields of Work:
First steps into Case Studies
5Data Analytics 1: Statistics and Machine Learning
8Data Visualisation and Storytelling 1: Design Basics
2Big Data Programming 1: Python
6Data Engineering 1: Big Data Databases
5Data Management 1: Data Acquisition and Data Cleaning
4Data Analytics 2: Text Mining and Natural Language Processing
7Data Engineering 2: Big Data Architectures
6Data Visualisation and Storytelling 1: Designing Interactive Dashboards
5Privacy, Ethics and International Law
6Case Study 1
8Data Management 2: Data Curation and Data Management
4Data Visualisation and Storytelling 2: Advanced Data Visualization
5Data Analytics 3: Deep Learning
8Elective Module: Case Study 2 or Internship
14Master Thesis
27750 EUR per month full-time + one-time registration fee of 750 EUR (Prices apply only to students from the European Economic Area).
Applicants from Non-EEA countries without permanent residence permit need to pay a tuition fee of 5,450 EUR per semester + one-time registration fee of 1,000 EUR and must pay the tuition fees for one semester in advance. From the second semester onwards the payments for the remaining semesters of study are due six weeks before the end of the period of study already paid for. The payments have to be done semesterwise.