Master

Applied Data Science and Analytics

  • Master of Science (M.Sc.)
  • 4 Semesters
  • Full time
  • on campus
  • 120 ECTS
  • €790/Month

As a data scientist, you hold a key position to deal with and extract knowledge from large and unstructured datasets.

  • English
  • summer and winter semester
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Your course content
What you will learn

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
Our innovative approach that pays off

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

Learning Outcomes

  • In-depth knowledge and understanding of applied data science.
  • Application of analytical techniques and machine learning/deep learning algorithms to solve complex data problems in business.
  • The skills you need to leverage data to reveal valuable insights and help customers make important decisions.
  • The ability to formulate solutions to technical problems and express them in discourse.
Open Days Ask the Dean: Info session - December

Join the faculties, International Office, and Admission Office in an online live session about the upcoming semester!

Event

Curriculum Applied Data Science and Analytics (M.Sc.) Your curriculum

4 Semester 120 ECTS
1. Semester
  • First steps into Case Studies 5
  • Data Analytics 1: Statistics and Machine Learning 8
  • Data Visualization and Storytelling 1: Design Basics 2
  • Big Data Programming 1: Python 6
  • Data Engineering 1: Big Data Databases 5
  • Data Management 1: Data Acquisition and Data Cleaning 4
2. Semester
  • Data Analytics 2: Text Mining and Natural Language Processing 7
  • Data Engineering 2: Big Data Architectures 6
  • Data Visualization and Storytelling 1: Designing Interactive Dashboards 5
  • Privacy, Ethics and International Law 6
  • Case Study 1 8
3. Semester
  • Data Management 2: Data Curation and Data Management 4
  • Data Visualization and Storytelling 2: Advanced Data Visualization 5
  • Data Analytics 3: Deep Learning 8
  • Elective Module: Case Study 2 or Internship 14
4. Semester
  • Master Thesis 27
Courseplan Applied Data Science and Analytics PDF 19 MB

Impressions Big Data Fest

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 (6.5), Duolingo (95), 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 + one-time registration fee of 750 EUR

Applicants from Non-EEA countries without permanent residence permit need to pay a one-time registration fee of 1,000 EUR and must pay the first year’s tuition fee in advance. From the second year onwards the payments for the remaining years of study are due three months before the end of the period of study already paid for.

For more information and payment modalities, please refer to the current fee schedule (valid from 01.12.2020).

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 year’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!

APS Certificate

Please note that special conditions apply to applicants from some countries: 

India

From 1st of November 2022, applicants from India will be required to have their documents verified by the Academic Evaluation Centre New Delhi (APS-India) before applying for a visa. After successful verification you will receive a certificate which allows you to initiate the visa process. Please note that the verification process at APS-India is expected to take approximately 4 weeks. We recommend that you apply for the APS certificate at the same time as you apply to SRH University Heidelberg. For more information, go to the APS-India website: www.aps-india.de 

The People’s Republic of China

The procedure of the Academic Evaluation Centre of the Cultural Section at the German Embassy in Bejing (Akademische Prüfstelle – APS) must have been successfully completed before you apply. The centre checks documents for authenticity and conducts interviews. The original APS certificate must be enclosed with the application documents. For more information, go to the APS website at: www.aps.org.cn

Please note that you don’t need to complete the APS procedure if you apply for our 3+1 programmes. 

Vietnam

The Academic Evaluation Centre of the German Embassy in Hanoi has been checking the university entrance qualifications of Vietnamese applicants since 2007. The procedure includes checking the submitted written documents as well as an interview with the applicant. An original copy of proof of successful completion of this process, the APS certificate, must be enclosed with the application documents. 

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