SRH Campus Hamburg

Applied Data Science and Analytics

  • Master of Science (M.Sc.)
  • 4 Semesters
  • Full time
  • on campus
  • 120 ECTS
  • €790/Month
  • Full time
  • without NC

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.

  • English
  • summer and winter semester
Applied Data & Analytics Master degree students in Hamburg
SRH Campus Hamburg
Your course content

Data Management, Big Data Technologies and more

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.

Your career prospects

Data Analyst, Business Intelligence Developer...

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: 

  1. Data Scientist
  2. Data Analyst
  3. Data Engineer
  4. Data Architect
  5. Business Intelligence Developer
  6. Machine Learning Engineer
  7. Deep Learning Expert
  8. Natural Language Processing Engineer
  9. Artificial Intelligence Expert
  10. ETL Developer

Your curriculum

4 Semester 120 ECTS
1. Semester

1. Semester

  • First steps into Case Studies

  • Data Analytics 1: Statistics and Machine Learning

  • Data Visualisation and Storytelling 1: Design Basics

  • Big Data Programming 1: Python

  • Data Engineering 1: Big Data Databases

  • Data Management 1: Data Acquisition and Data Cleaning

2. Semester


  • Data Analytics 2: Text Mining and Natural Language Processing

  • Data Engineering 2: Big Data Architectures

  • Data Visualisation and Storytelling 1: Designing Interactive Dashboards

  • Privacy, Ethics and International Law

  • Case Study 1

3. Semester

3. Semester

  • Data Management 2: Data Curation and Data Management

  • Data Visualisation and Storytelling 2: Advanced Data Visualization

  • Data Analytics 3: Deep Learning

  • Elective Module: Case Study 2 or Internship

4. Semester


  • Master Thesis

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Admission requirements

Our requirements

  • First degree (i.e. first degree qualifying for a profession) in Computer Science, Data Science, Information Technology, Artificial Intelligence, Data Analysis, Mathematics, Business Informatics awarded with 180 CPs.
  • English Proficiency Proof: The students need to be capable of following an English-language course and understanding English- language professional literature. The proficiency of the English language has to be proven through a passed TOEFL test of at least 80 points,  IELTS/ IELTS ONLINE (6.5), Duolingo (120), MOI (Medium of Instruction letter)
  • Knowledge of machine learning, natural language processing, data warehousing, statistics, data management, data mining is desired
  • Programming experience with Python, R is a plus
Fees and Funding

Your tuition fees

790 EUR per month full-time.

Applicants from Non-EEA countries without permanent residence permit need to pay a tuition fee of 6,450 EUR per semester 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. 

Apply now

Application process and deadlines

  • If you’re interested in our Master’s programme, simply send us your application online
  • If you encounter technical difficulties with the online application or have any questions about your application, Simin Chen will be happy to help you.
  • If you meet all the requirements, we’ll send you the acceptance letter and the study contract.
  • You then sign the study contract and return it to us (applies only to applicants from Germany and the EU).
  • You pay the registration fee (applicable to all students) and, in some cases, one semester’s advance payment (applies only to students from non-EU/EEA countries).
  • We then issue your final letter of acceptance.
  • You take part in our Welcome Days – and then embark on your degree programme!