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Big Data and Artificial Intelligence

SRH University is a state-recognized private university in Germany with multiple campuses (including Berlin and Leipzig for this master’s), offering international programmes focused on practical skills and employability. Its CORE learning model emphasizes project-based learning, soft skills development and real-world application of technical concepts.

 

Why Study This Programme?

  • English-taught — no German required.
  • Combines Big Data, AI, software engineering and business skills.
  • Internship or research project included.
  • Teaches latest technologies like machine learning, cloud solutions, and data pipelines.
  • Graduates prepared for high-demand roles in analytics, AI, management and consulting.

 

Subjects / Programme Structure

Students gain both broad computer science fundamentals and specialized AI/data skills. While the full curriculum is available on request from SRH, a typical structure includes:

Core & Technical Topics

  • Advanced Data Technologies

  • Tools & Methods for Data Analysis

  • Software Development & Advanced Programming

  • Big Data Technologies

  • Machine Learning & AI Algorithms

  • Cloud Solutions & Deployment

  • Agile Project & Risk Management

  • Advanced Mathematics for AI

  • Research Methods and Scientific Writing

  • Internship or research project (semester 3 for full track)

  • Master’s thesis + defence (final semester)

 

Specialisations / Tracks

While the main degree is in Big Data & AI, students can choose between:

  • General Track (120 ECTS) — standard path with industry project and thesis

  • Fast Track (90 ECTS) — accelerated path for eligible students

 

Highlights of the Programme

  • Industry-relevant curriculum combining big data technologies and AI.
  • Hands-on projects and internships/research experience.
  • English language — accessible to international learners.
  • Choice of two tracks (full and fast).
  • Development of analytical, business and soft skills alongside technical expertise.

 

Career Outcomes

Graduates are prepared for careers such as:

  • Big Data Engineer / Analyst
  • Machine Learning Engineer
  • AI Specialist / Developer
  • IT Consultant
  • Business Analytics Expert
  • IT Project Manager

 

Visa Requirements (for International Students)

If you are a non-EU/EEA student (e.g., Indian national):

  • Apply for a German student visa at the German embassy/consulate in your home country before arrival.
  • You’ll need:
  • Admission letter from SRH University

  • Proof of financial resources (~€934/month required as per German visa rules)

  • Health insurance proof

Accommodation plan

  • After arrival, apply for a student residence permit.
  • Students are typically allowed to work part-time (e.g., 120 full days or 240 half days per year) under German regulations.

 

Latest Updates & Notes

  • Programme is accredited and English-taught for international relevance.
  • Multiple campuses mean flexibility in location choice (Berlin or Leipzig).
  • Tuition fees for private universities are higher than public universities in Germany — plan finances early.
  • Independent student forums sometimes raise concerns about private university value — consider this alongside official info.