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Master's programme

Applied Data Science and Artificial Intelligence (MSc) SRH University

Duration
4 semesters
Language of instruction
English
Tuition fees
Tuition varies
Fees may vary. Exemptions or additional costs may apply.
Next application deadline
None
Language level required
English: B2
German: None

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Applied Data Science and Artificial Intelligence (MSc)
© SRH University Heidelberg

Applied Data Science and Artificial Intelligence (MSc)

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Programme overview

Quick facts

Degree
MSc
Duration
4 semesters
Intake
Winter and summer semester
Joint degree / double degree programme
No
A Diploma supplement will be issued
Yes
Combined Master's degree / PhD programme
No

Language of instruction

English

Courses are held in English.

Programme description

Location: Berlin

The Applied Data Science and Artificial Intelligence Master's programme offers a perfect mixture of the courses critical for qualifying as a business application data scientist. The programme not only focuses on technical and statistical courses that concentrate on big data architectures, data and text mining algorithms, neural networks and predictive analytics, but also on familiarising students with creative questioning techniques, visualisation, data storytelling, ethics, and international law. In order to give students the opportunity to acquire practical experience on the topics studied in the courses, the theoretical knowledge gained from the different courses is applied and enhanced in a series of three case studies that are spread across three semesters with increasing level of complexity. In the fourth semester, each student will work on the Master's thesis, ideally on a topic pertaining to the industry.

Programme structure

Structurally, the study programme adopts the theme-centred five-week blocks that are common at SRH University. It comprises a mix of case studies that become larger and more complex with each semester, and it is accompanied by classroom modules, the content of which is directly linked to the case studies. In the first semester, students are taught all the required basic knowledge and methods. The second and third semesters are self-contained units.

Every semester, a case study accompanies the technical courses to put the acquired theoretical knowledge in practical context. Repeatedly conducting complex case studies, including the Master's project, helps the students to understand the interaction between different phases in big data projects and to acquire the required competencies.

Mode of study

  • Fully on-site

International elements in the curriculum

The curriculum of this study programme includes international elements that support global perspectives and cross-cultural learning:

  • Training in intercultural skills
  • Projects with partners in Germany and abroad
  • International guest lecturers
  • International comparisons and thematic reference to the international context
  • Content-related regional focus

Integrated internships

In the third semester, students can complete a mandatory internship at a company or research institution, or they can work on case studies with different companies.

The mandatory internship can be continued during the Master's thesis in the fourth semester.

Application and admission

Application period(s)

No application deadline

Academic admissions requirements

A first professional qualification university degree in computer science, data science, information technology, artificial intelligence, data analysis, mathematics or business informatics with 180 CPs

Language requirements

Please check all requirements directly with the respective higher education institution. Exceptions may apply. See our website for further details.

German language requirements

German: None

English language requirements

English: B2

How to apply?

Website

Please check this website.

Click here

Costs and funding

Tuition fees per semester

Applicants from Tuition fee
Non-EU countries
5,950 EUR
EU countries
4,980 EUR

Tuition fees may vary depending on the course of study or other factors (e.g. part-time/full-time, duration of study, ECTS, study abroad). For an exact breakdown of costs, please consult the programme website.

Tuition fee exemptions apply to

More information on tuition fees

Semester contribution

None

Part-time employment

Working as a non-EU citizen: In possession of a valid German residence permit for study purposes, you are allowed to work for up to 120 full days (full day = eight hours per day) or 240 half days (half day = four hours) during the calendar year. However, freelance work is not permitted. Internships that are mandatory for the successful completion of your studies at SRH do not count towards the above-named 120 full days.

Employment that is considered “student part-time work” ("studentische Nebentätigkeit", e.g. employment as a student worker at a university or in a university-related organisation or "Werkstudent" activities at companies that are related to your studies) can be done without any time restrictions.

Scholarships and financing information

There is a special scholarship available. The "Deutschlandstipendium" is a special scholarship programme supported by the German government and private companies.

Living & services

Support for international students

  • Welcome event
  • Buddy programme
  • Tutors
  • Accompanying programme
  • Specialist counselling
  • Visa matters

International Cultural Club, workshops, free language courses, social and networking events

Career advisory services

We offer individual career counselling services in our Career Development Centre. Here you will find courses on how to prepare for job applications and interviews, covering techniques such as body language and voice training, as well as continued education offerings such as our business skills certificate. In addition, you can access job listings on the university website.

About us

SRH University Campus Heidelberg© SRH University

SRH University

We are the SRH University, part of the non-profit SRH Holding based in Heidelberg.

We offer state-accredited Bachelor's, Master's, and MBA programmes in English and German. Our curricula are built around the CORE Principle, emphasising hands-on, project-based learning in five-week blocks. Our programmes focus on management and logistics, engineering and architecture, computer and data science, hospitality and therapy, design and creative industries, and music and film.

With 17 campuses across Germany, we host a diverse student body from over 140 countries, contributing to our vibrant international atmosphere.

Our approach includes practical work experiences and professional networking opportunities, preparing students for successful global careers.

University facts

  • 100+
    Number of countries represented at our university
  • 17
    Number of campuses in Germany

Location

Berlin, Germany's capital, is a hub for politics, media, science, and education. It's the country’s largest city, offering a vibrant cultural scene with rich nightlife and historical sites. Berlin's dynamic start-up scene is attractive to tech and creative industries. Despite rising costs, it remains affordable compared to other Western European capitals.

Cologne is known for its relaxed culture, famous cathedral, and rich Roman history. It offers a vibrant academic and cultural scene with excellent job opportunities in media and other industries. Cologne is well-connected, making it easy to explore nearby cities.

Dresden combines a vibrant cultural scene with affordable living costs. Known for historical sights like the Zwinger and Semperoper, it offers good job prospects in microelectronics and IT. Its scenic location and rich cultural events make it an attractive city for students and young professionals.

Hamburg, Germany's second-largest city, is a major trade and logistics hub in north-western Europe. With a high standard of living and moderate costs, it offers career opportunities in IT, media, logistics, and renewable energy sectors. Famous for its harbour and nightlife, Hamburg is a city rich in water-related and cultural activities.

Heidelberg is known for its romantic ambiance and vibrant cultural and academic atmosphere. The city offers a picturesque landscape ideal for outdoor activities, with strong sectors in biotechnology, pharmaceuticals, and academia.

Leipzig is an economic hub with a growing population, offering career opportunities in technology, digitalisation, and life sciences. It has a vibrant music and cultural scene and remains one of Germany's more affordable major cities.

Stuttgart is a centre for technology and innovation, home to companies like Mercedes Benz and Porsche. It offers excellent educational and career prospects in engineering and sustainable technologies, supported by a vibrant cultural scene.

Munich, Bavaria's capital, is a leading German hub for economy, science, and education with high living standards. Home to top universities and research, it excels in high-tech industries, offering great careers. Near the Alps and lakes, it provides rich leisure options. Though pricier, its appeal and opportunities make it a desirable place to study and work.

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Contact

Main contact

Admission Office

Name
Study Advisor
Address
12059 Berlin
Email
E-mail

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Always know what comes next

Study Guide gives you a personal to-do list tailored to your background, qualifications and interests, so you always know what to do next.