As a data scientist, you are in a key position when it comes to dealing with large and unstructured data sets and extracting knowledge from them. Find out more about our Applied Data Science & Analytics Master's programme here.
Applied Data Science and Analytics
Master of Science | Heidelberg, Hamburg, Munich
From 2025 also at the Munich Campus!
From 2025 also at the Munich Campus!
All Facts at a Glance
Degree:
Master of Science (M.Sc.)
Start:
1st April; 1st October
Model:
full-time
Language:
English
ECTS:
120
Curriculum:
Info:
accredited
Duration:
4 semesters/2 years
Location:
Hamburg,
Heidelberg,
Munich
Costs:
from €750 per month
-
Show costs split
Learn more about data visualisation & AI
In the Master's programme in Applied Data Science and Analytics, you will acquire in-depth knowledge and an understanding of the entire 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 data sets.
The data visualisation and storytelling part of this programme will enable you to use the data to provide stakeholders with valuable insights for decision-making. You will also learn in a practice-orientated way: You will work with real clients in project-based modules. In addition, you will complete a three-month mandatory internship in a company of your choice and can also write your Master's thesis in collaboration with a company. This way, you will gain almost a year of professional experience during your studies.
Become a data scientist, data analyst, and more
With a Master of Science in Applied Data Science and Analytics and a qualification at all levels of data science, you will have the best opportunities in all sectors, including the manufacturing industry, banks, insurance companies, the IT sector, consulting, public or industrial research institutes, the healthcare sector and at colleges and universities. Graduates from previous years now work at ABB, Heidelberg Cement, Airbus, Accenture, Adidas, Audi, Bosch, BMW, BASF, Deloitte, Deutsche Börse, DKFZ, PWC, SAP and Verivox, as well as successful medium-sized companies. Our programme also qualifies you for a public sector position, research work, and doctoral programmes.
Possible fields of work:
- Data scientist
- Data analyst
- Data engineer
- Data architect
- Business intelligence developer
- Machine learning engineer
- Deep learning expert
Your modules
The Master's programme in Applied Data Science & Analytics provides practical data analysis and management knowledge. The first semesters focus on case studies, statistics, machine learning, data visualisation basics, and big data programming with Python. You will learn about databases, data collection and cleansing, followed by advanced topics such as text mining, big data architecture and interactive dashboards. You will also deal with data protection, ethics and international law. The final part is Advanced Data Visualisation, and you can choose between a case study or an internship.
This study programme prepares you for leadership roles in data science.
We will be happy to send you further information, including the complete curriculum.
Your curriculum
4 Semester
120 ECTS
1st semester
-
First steps into Case Studies
5 -
Data Analytics 1: Statistics and Machine Learning
8 -
Data Visualisation 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
2nd semester
-
Data Analytics 2: Text Mining and Natural Language Processing
7 -
Data Engineering 2: Big Data Architectures
6 -
Data Visualisation and Storytelling 1: Designing Interactive Dashboards
5 -
Privacy, Ethics and International Law
6 -
Case Study 1
8
3rd semester
-
Data Management 2: Data Curation and Data Management
4 -
Data Visualisation and Storytelling 2: Advanced Data Visualisation
5 -
Data Analytics 3: Deep Learning
8 -
Elective Module: Case Study 2 or Internship
14
4th semester
-
Master Thesis
27
Big Data Fest
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Our projects
Our CORE Principle
Apply your skills in real life
Today, soft and social skills are crucial in addition to hard skills and expertise. That's why SRH University's innovative, successful, and award-winning CORE principle promotes independent and active learning so that you can apply your knowledge directly to projects and your future career—for a clear competitive advantage.
Voices of our graduates
SRH University attaches great importance to practical learning and a connection to the industry. I was impressed by the fact that the university emphasises practical projects, internships and real-life applications. This approach will give me valuable experience and prepare me for the challenges of the advertising industry.
Using the latest tools such as Tableau, R Studio, Apache Spark and Python, we were able to analyse, manage and visualise data to gain meaningful business insights. Coming from an education and business management background, choosing this programme was the best decision to start my career in tech.
