SRH University
Master

Applied Data Science and Artificial Intelligence
Master of Science | Heidelberg, Hamburg, Munich

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.

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All Facts at a Glance
Degree:
Master of Science (M.Sc.)
Start:
1st April; 1st October
Model:
full-time
Language:
English
ECTS:
120
Curriculum:
more info
Info:
accredited
Duration:
4 semesters/2 years
Location:
Hamburg, Heidelberg, Munich
Costs:
from €830 per month -  Show costs split

Content Applied Data Science (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.

Students gain hands-on experience working with large-scale datasets, machine learning models, and AI-driven solutions while developing strategic problem-solving abilities through case studies, research projects, and industry collaborations. By offering specialized tracks, the program enables students to tailor their expertise to sectors such as supply chain analytics, business analytics, media analytics & creative AI, and life sciences analytics.

The curriculum is designed to be practical, industry-aligned, and future-focused, ensuring graduates are prepared for high-impact roles in data science, AI development, business intelligence, and research. With a combination of technical courses, hands-on workshops, global learning opportunities, and professional certifications, students are equipped with the skills necessary to thrive in today’s data-driven world.

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Career in Applied Data Science & Analytics (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.

 

Data Science & Analytics

  • Data Scientist
  • Business Intelligence Analyst
  • Quantitative Analyst / Data Analyst
  • Research Data Scientist
  • Forecasting Specialist

Machine Learning & AI Roles

  • Machine Learning Engineer
  • AI Developer / AI Engineer
  • Deep Learning Specialist
  • Computer Vision Engineer
  • NLP (Natural Language Processing) Engineer
  • MLOps Engineer

Data Engineering & Cloud

  • Data Engineer
  • Cloud Data Engineer
  • Big Data Engineer
  • ETL / Pipeline Developer
  • Data Platform Architect
  • Cloud AI Engineer (AWS, Azure, GCP)

Domain-Specific Roles

  • Health Data Scientist / Bioinformatics Analyst
  • Retail or Supply Chain Analyst
  • Smart City Data Strategist
  • Financial Data Analyst
  • Media AI Consultant
  • Environmental Data Modeler

Innovation & Strategy

  • AI Product Manager
  • Data & AI Strategist
  • AI Ethics & Governance Officer
  • Tech Entrepreneur / AI Startup Founder
  • Innovation Manager in AI/Analytics
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Studentin mit Handy in der Hand läuft an einer roten Wand vorbei
Your path to the future
Apply now!

Start your application now
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Your modules

In this hands-on Master’s program, you’ll gain a solid foundation in Python, statistics, and machine learning, then dive deep into applied topics such as:

  • Data Engineering – Build scalable data pipelines and cloud-based infrastructures
  • Deep Learning – Master neural networks, CNNs, and advanced AI techniques
  • Cloud Computing – Use tools like AWS and Azure to deploy intelligent systems
  • Data Visualization & Storytelling – Transform complex data into actionable insights
  • Ethical & Responsible AI – Ensure fairness, transparency, and societal impact
  • Domain Specific Applications – Apply AI in Media Analytics, Creative AI, Logistics and Supply Chain, Business Analytics, Process Automation, Bioinformatics and Life Sciences
  • Entrepreneurship & Innovation – Turn data-driven ideas into real-world ventures
  • 6 Months Internship or Semester Abroad – Gain international or industry experience in Semester 3
  • Master’s Thesis – Solve a real problem in collaboration with a company or research lab

We will be happy to send you further information, including the complete curriculum.

Campus-Based Specializations with Domain Flexibility

The M.Sc. Applied Data Science and Artificial Intelligence program offers you the flexibility to specialize based on your campus location—while ensuring that the core modules at every campus equip you with transferable skills to work across diverse industries and data types.

No matter your chosen track, the core curriculum in Python, machine learning, data engineering, deep learning, data visualization and cloud computing prepares you to handle a wide variety of structured and unstructured datasets—from financial time series to health records, text, image, or sensor data.

Modern glass facade of the SRH Campus Homburg featuring the Zurich Insurance logo. The building has a round tower and is surrounded by a bright environment.
Hamburg Campus

Specialize in Supply Chain and Logistics Analytics, applying predictive models and optimization techniques to real-world operations and transport networks.

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Heidelberg Campus

Choose between the General Track, offering broad exposure across various domains, or focus on Creative AI and Media Analytics, where you explore AI-powered content generation, sentiment analysis, and visual storytelling.

Entrance to a modern building with large windows and the inscription 'sch.' In front of the building, there are wooden steps and benches.
Munich Campus

Dive into AI-Driven Bioinformatics and Life Sciences, working with biomedical data, genomics, and personalized healthcare solutions using advanced machine learning.

Study plan

Your curriculum

General Track
Creative AI and Media Analytics
Supply Chain and Logistics Analytics
AI-Driven Bioinformatics & Life Sciences
4 Semester 120 ECTS
1. Semester

  • 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

    6
2. Semester

  • Data Management

    6

  • Natural Language Processing

    6

  • Responsible AI and Data Ethics

    6

  • Collaborative Industry Project I - Industry Data Analytics

    6

  • Collaborative Industry Project II - Industry Data Analytics

    6
3. Semester

  • Cloud Computing and Data Architectures

    6

  • Data Visualisation and Storytelling

    6

  • Deep Learning

    6

  • AI Vision

    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.

4. Semester

  • Master Thesis

    24

  • Master Thesis Seminar

    6
Request curriculum
4 Semester 120 ECTS
1. Semester

  • First Steps into Data Science

    6

  • Data Engineering

    6

  • Statistics and Machine Learning

    6

  • Python Foundations for Data Science

    6

  • Recommendation Systems and Media Personalization

    6
2. Semester

  • Data Management

    6

  • Natural Language Processing

    6

  • Responsible AI and Data Ethics

    6

  • Social Media Analytics and Sentiment Analysis

    6

  • Generative AI for Creative Content

    6
3. Semester

  • Cloud Computing and Data Architectures

    6

  • Data Visualisation and Storytelling

    6

  • Deep Learning

    6

  • Gaming Analytics

    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.

4. Semester

  • Master Thesis

    24

  • Master Thesis Seminar

    6
4 Semester 120 ECTS
1. Semester

  • First Steps into Data Science

    6

  • Data Engineering

    6

  • Statistics and Machine Learning

    6

  • Python Foundations for Data Science

    6

  • Demand Forecasting

    6
2. Semester

  • Data Management

    6

  • Natural Language Processing

    6

  • Responsible AI and Data Ethics

    6

  • Inventory Analytics

    6

  • Logistics and Transportation Analytics

    6
3. Semester

  • Cloud Computing and Data Architectures

    6

  • Data Visualisation and Storytelling

    6

  • Deep Learning

    6

  • Risk and Sustainability Analytics

    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.

4. Semester

  • Master Thesis

    24

  • Master Thesis Seminar

    6
4 Semester 122 ECTS
1. Semester

  • First Steps into Data Science

    6

  • Data Engineering

    6

  • Statistics and Machine Learning

    6

  • Python Foundations for Data Science

    6

  • Precision Medicine

    6
2. Semester

  • Data Management

    6

  • Natural Language Processing

    6

  • Responsible AI and Data Ethics

    6

  • AI for Drug Discovery

    6

  • Genomics Analytics

    6
3. Semester

  • Cloud Computing and Data Architectures

    6

  • Data Visualisation and Storytelling

    6

  • Deep Learning

    6

  • Biomedical Image Analysis

    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.

4. Semester

  • Master Thesis

    24

  • Master Thesis Seminar

    6

Your certificates in the Master's degree programme Applied Data Science and Artificial Intelligence

As part of theApplied Data Science and Artificial Intelligence Master's programme, we offer an intensive two-day Scrum training course. This practice-orientated training teaches students agile project management methods that are widely used in the data-driven professional world.

The certificate "SAS Certified Specialist: Visual Business Analyst" provides practical know-how in data visualisation, dashboard creation and analysis with SAS Viya - ideal for data & business analysts.

The NVIDIA Institute's Deep Learning training, within our Applied Data Science and Artificial Intelligence programme, offers a practical introduction to neural networks, TensorFlow, PyTorch and AI models - ideal for getting started in artificial intelligence.

Impressions

Big Data Fest

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Projects from our degree programme

Our projects

Our CORE Principle
The CORE principle describes a unique teaching model consisting of 5-week blocks that focus on 1-2 topics. It promotes skill development and employs interactive teaching methods. Awarded the Genius Loci Award in 2018.
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.

Learn more about CORE

Voices of our graduates

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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.
HUY NGUYGEN, STUDENT Applied Data Science and Artificial Intelligence (ADSA) (M.SC.)
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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.
SUPRIYA NAYAK, STUDENT Applied Data Science and Artificial Intelligence (ADSA) (M.SC.)
Your lecturers and contact persons

Your contact

Get to know us

Our events at a glance

Costs

Smart financing

As a state-recognised private university, SRH University is financed by tuition fees. The fees go towards equipping our campuses, providing services for our students, and ensuring quality assurance. This way, we ensure you receive the best possible education under optimal study conditions.

Tuition fees Hamburg

  • Citizenship | EU/EEA, including Western Balkans, Switzerland and Ukraine: €830 / month
  • Citizenship | non-EU/EEA: €5,950 / semester

Tuition fees Heidelberg

  • Citizenship | EU/EEA, including Western Balkans, Switzerland and Ukraine: €850 / month
  • Citizenship | non-EU/EEA: €6,750 / semester

Tuition fees Munich

  • Citizenship | EU/EEA, including Western Balkans, Switzerland and Ukraine: €830 / month
  • Citizenship | non-EU/EEA: €5,950 / semester

The monthly/semester tuition fees remain the same for the entire duration of the study programme. A one-off enrolment fee of €750 (EU/EEA) or €1000 (non-EU/EEA) is to be paid once.

Except for any placement, aptitude or equivalency tests, no separate examination fees or similar are charged, not even for repeat examinations. So, you'll have maximum cost transparency during your studies.

Goal-oriented studies require good organisational skills and solid financial planning on how to pay rent, living costs, and tuition fees. Various financing options, such as educational loans or scholarship programmes, are available for students.

We have summarised all financing options for you.

About your financing options

Admission requirements and application

Admission

You can apply anytime via our online portal. After receiving your documents, we will review them and invite you to an admissions interview.

To apply for the Master's programme in Applied Data Science and Artificial Intelligence, you will need to provide

  • Bachelor's degree in Computer Science, Data Science, Information Technology, Artificial Intelligence, Data Analysis, Mathematics, Business Informatics If you have not graduated yet, apply with existing transcripts.
  • Proof of English language proficiency
  • Curriculum Vitae
  • Letter of motivation
  • Copy of your identity card or passport

More information about the admission requirements

Apply now
Application process

We look forward to welcoming you to SRH University. This is what our application process looks like:

  1. You submit your online application via the SRH application portal
  2. If you meet the admission requirements, we will invite you to a personal/phone interview
  3. If the interview is successful, you will receive an acceptance letter and the study contract
  4. You sign the study contract and send it back to us
  5. You pay the enrolment fee
  6. You will receive your letter of admission
  7. You take part in our Startklar days and then you are good to go!
Do you still have questions?
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