PhD Monitor
/Detail
Data Science and Artificial Intelligence● OpenMastersOpen until filledPreview

Applied Data Science and Artificial Intelligence (MSc)

A hands-on Master’s programme blending technical data science with business applications, case studies, and industry collaboration in Berlin.

Best for:Best for graduates in computer science, data science, or related fields seeking a hands-on, industry-aligned Master’s programme with strong technical and business applications.

SRH University · Berlin, Germany
More professors at SRH University
big data architecturesdata mining algorithmsneural networkspredictive analyticsdata storytellingethics in AI
This is a masters position — not a PhD studentship.
Deadline
Until filled
rolling
Funding
Unfunded
€5.0k–€6.0k
Start date
Winter or summer semester (flexible)
Full-time
Location
Berlin
Germany

Overview

The Applied Data Science and Artificial Intelligence Master’s programme at SRH University in Berlin combines technical expertise with practical business applications. Students gain proficiency in big data architectures, machine learning, predictive analytics, and data storytelling while working on real-world case studies across three semesters. The curriculum integrates ethical considerations, international law, and visualisation techniques, ensuring graduates are ready for industry roles. A mandatory internship in the third semester and a thesis project in the fourth semester provide direct industry exposure. The programme is taught entirely in English and emphasises project-based learning in five-week blocks, preparing students for careers in data-driven industries.

data scienceartificial intelligencemachine learningbig datapredictive analyticsdata visualizationcase studyindustry collaboration

What you'll do

  • Develop and apply technical skills in big data architectures, machine learning, and predictive analytics through structured coursework.
  • Work on three progressively complex case studies spanning three semesters to bridge theoretical knowledge with practical industry challenges.
  • Complete a mandatory internship in the third semester at a company or research institution, or collaborate on case studies with external partners.
  • Conduct independent research and write a Master’s thesis in the fourth semester, ideally focused on an industry-relevant topic.
  • Engage in interdisciplinary projects that integrate data science with business applications, ethics, and international law.
  • Participate in international guest lectures, intercultural training, and cross-border projects to enhance global perspectives.

Requirements

Degree required: A Bachelor’s degree (180 ECTS credits) in computer science, data science, information technology, artificial intelligence, data analysis, mathematics, or business informatics.

Degree offered: Master of Science (MSc)

Language: English proficiency at B2 level, verified via a placement test or interview.

Instruction: English

Required skills
  • Proficiency in programming and data analysis tools (e.g., Python, R, SQL).
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively in interdisciplinary teams.
  • Basic understanding of statistical methods and machine learning principles.
Nice to have
Experience with big data platforms (e.g., Hadoop, Spark).Familiarity with data visualization tools (e.g., Tableau, Power BI).Prior exposure to industry projects or internships in data science.
Eligibility
  • No German language skills required.
  • Open to international applicants from all countries.
  • No age restrictions or residency requirements.

Funding & terms

Type
Unfunded
Amount
€5.0k–€6.0k
Duration
4 semesters
Programme
SRH University
SRH University

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applicants must submit their application through the SRH University portal. Required documents include a CV, proof of English proficiency (B2 level), academic transcripts, and a motivation letter. The application process is open until filled, with no fixed deadline.

Documents required
  • CV
  • Proof of English proficiency (B2 level)
  • Academic transcripts (Bachelor’s degree)
  • Motivation letter
  • Passport or ID copy
↗Check programme and admissions

Contact

Lab
School of Computer Science and Data Science
SRH University
Germany
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.