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 and Artificial Intelligence Master's programme here.
Applied Data Science and Artificial Intelligence
Master of Science | Fuerth, Heidelberg, Hamburg, Munich
Select one of five focus areas across four campuses!
Select one of five focus areas across four campuses!
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:
Fuerth,
Hamburg,
Heidelberg,
Munich
Costs:
from €830 per month
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Show costs split
Content Applied Data Science and AI (M.Sc.)
From Raw Data to Real-World Solutions
In the Master's programme in Applied Data Science and Artificial Intelligence, 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. You will also acquire technical expertise, analytical skills, and business acumen needed to drive innovation in AI, data science, and big data analytics.
With a strong industry focus, the program blends machine learning, data engineering, natural language processing, generative AI, cloud computing, and ethical AI principles with real-world applications across diverse domains.
Our range of study programmes in Data Science and Computer Science is very diverse. Let yourself be inspired.
Your modules
This Master’s programme integrates advanced methodological foundations with real-world AI system development — from data engineering and modeling to deployment and innovation.
Students evolve from analytical problem solvers into end-to-end AI architects capable of designing responsible, scalable, and industry-ready intelligent systems.
- Programming for Data Science – Develop scalable, production-ready systems using modular architectures and efficient coding practices
- Statistics & Machine Learning – Master probabilistic modeling, supervised and unsupervised learning, and model evaluation
- Data Engineering & Data Management – Build scalable data pipelines, distributed systems, and high-performance data infrastructures
- Deep Learning & AI Vision – Design neural networks, CNNs, and intelligent perception systems for complex real-world tasks
- Natural Language Processing & Generative AI – Work with language models, multimodal AI, and intelligent content generation
- Cloud Computing & Data Architecture – Deploy AI systems using modern cloud environments such as AWS and Azure
- Data Visualization & Storytelling – Transform complex data into actionable insights and strategic communication
- Ethical & Responsible AI – Ensure fairness, transparency, robustness, and societal responsibility in AI systems
- Data Science in Applications – Apply AI in Media Analytics, Creative AI, Logistics & Supply Chain, Business Analytics, Process Automation, Bioinformatics, and Life Sciences
- Entrepreneurship & Innovation – Transform data-driven ideas into prototypes, products, or ventures
- 6-Month Internship or Semester Abroad (Semester 3) – Gain international exposure or hands-on industry experience
- Master’s Thesis – Address a complex real-world problem in collaboration with a company or research lab
We will be happy to send you further information, including the complete curriculum.
Application-oriented learning
Our study programme combines sound methodological training with consistently practice- and application-oriented teaching. At all locations, students complete the same core modules, follow identical academic standards and graduate with the same accredited master's degree.
While the curriculum remains uniform, selected project phases draw on regional innovation ecosystems and industry-specific networks.
Confirmed quality
Career in Applied Data Science and AI (M.Sc.)
Become a data scientist, data analyst, and more
With a Master of Science in Applied Data Science and Artificial Intelligence 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.
Your curriculum
4 Semester
120 ECTS
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First Steps into Data Science
6 -
Data Engineering
6 -
Statistics and Machine Learning
6 -
Python Foundations for Data Science
6 -
Advanced Python for Data Science/Data Science in Applications (Campus-specific)
6
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Data Management
6 -
Natural Language Processing
6 -
Responsible AI and Data Ethics
6 -
Collaborative Industry Project I/ Data Science in Applications (Campus-specific)
6 -
Collaborative Industry Project II/ Data Science in Applications (Campus-specific)
6
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Cloud Computing and Data Architectures
6 -
Data Visualisation and Storytelling
6 -
Deep Learning
6 -
AI Vision / Data Science in Applications (Campus-specific)
6 -
Entrepreneurship
6 -
6-month internship OR semester abroad*
30
*In the 3rd semester, you have the choice of completing a 6-month internship OR a semester abroad OR taking the modules listed above.
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Master Thesis
24 -
Master Thesis Seminar
6
Your certificates in the Master's degree programme Applied Data Science and Artificial Intelligence
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.
Your contact
Nicole Jensen
Study advisor
