24 months
Duration
12900 EUR/year
9600 EUR/year
Unknown
Tuition fee
Unknown
Unknown
Apply date
Unknown
Start date

About

Our Master's in Big Data & AI at the Hamburg Campus 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 programme 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 (2-year option)

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

More details

Non-EU applicants: Please apply at least 3-4 months before the start of the programme to have enough time for visa and travel arrangements.

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.

Other requirements

General requirements

  • Bachelor's degree in Computer Science, Information Systems or a similar area of studies - please submit your degree certificate and your transcript of records
  • Not sure about the academic requirements? Check out our
  • Proof of English language proficiency
  • Secondary School Certificate
  • Letter of motivation
  • Curriculum vitae
  • Copy of your passport/ID

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.
  • EU/EEA

    9600 EUR/year
    Tuition Fee
    Based on the tuition of 4800 EUR per semester during 24 months.

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 - Focus on Big Data and Artificial Intelligence
-
SRH Berlin University of Applied Sciences

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