24 months
Duration
12900 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Master's inComputer Science - Big Data and Artificial Intelligence of SRH Berlin University of Applied Sciences will turn you into a data science expert! Discover the latest big data technologies and find out how to successfully implement AI tools in companies. Strengthen your analytical, business and soft skills.

Visit the official programme website for more information

Overview

Your Programme | M.Sc. Computer Science - Focus on Big Data and Artificial Intelligence in Hamburg

This Master's Computer Science - Big Data and Artificial Intelligence provides a computer science education that includes classic modules such as software development and programming yet teaches specialised knowledge regarding Big Data and Artificial Intelligence.

Get to know the latest big data technologies and know how to implement AI and machine learning tools in a business environment. In addition to technological expertise, you will deepen your analytical, business and soft skills in various projects and internships.

Choose between:

  • 2-year option: 3-year Bachelor's degree (180 ECTS) needed
  • 1.5-year option (Fast Track): 3.5-year Bachelor's degree (210 ECTS) needed

Your Career

During your studies at SRH Berlin University of Applied Sciences you'll develop your intercultural, managerial and communication skills through practical projects. Your interdisciplinary IT and business education will make you a sought-after expert in the current and future job market.

Choose from the following career paths:

  • Positions in business analytics
  • Management positions in marketing and strategic management
  • IT manager
  • IT consultant

Programme Structure

Your curriculum

1st semester

  • Advanced Data Technologies
  • Tools & Methods of Data Analysis
  • Software Development
  • Machine Learning
  • Advanced Programming
  • Advanced Mathematics

2nd semester

  • Cloud Solutions
  • Artificial Intelligence Use Cases
  • Agile Project & Risk Management
  • Open Source Intelligence
  • Artificial Intelligence
  • Big Data and Business Intelligence

3rd semester

  • Internship

4th semester

  • Scientific Work
  • Master's Project
  • Master's Thesis and Defence

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

120 ECTS

We also offer a Fast Track (90 ECTS) for students who have graduated with a 210 ECTS or 3.5-year Bachelor's degree.

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at SRH Berlin University of Applied Sciences and/or in Germany, please visit Student Insurance Portal.

Other requirements

General requirements

  • Bachelor's degree incl. transcript
  • Curriculum vitae
  • Copy of your passport/ID
  • Letter of motivation

Tuition Fee

To alway see correct tuition fees
  • International

    12900 EUR/year
    Tuition Fee
    Based on the tuition of 6450 EUR per semester during 24 months.
Tuition fees
  • citizenship | EU/EEA (incl. Switzerland, Western Balkans and Ukraine): EUR 800 / month
  • citizenship | Non-EU/EEA: EUR 6450 / semester

Living costs for Hamburg

897 - 1417 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Please contact us for more information: studyinberlin@srh.de

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Computer Science - Big Data and Artificial Intelligence
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SRH Berlin University of Applied Sciences

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