Studyportals Study cover for Computer Science - Focus on Big Data and Artificial Intelligence

Computer Science - Focus on Big Data and Artificial Intelligence

M.Sc.
24 months
Duration
10800 EUR/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The new Computer Science - Focus on Big Data and Artificial Intelligence programme from SRH Berlin University of Applied Sciences provides a standard computer science education that includes modules such as software development and programming yet teaches specialised knowledge regarding Big Data and Artificial Intelligence.

Visit the official programme website for more information

Overview

Massive amounts of data are generated each day by consumers, devices and applications that are very valuable for businesses, governments and organisations alike.

Due to the advancements in computing power and the development of advanced algorithms, collecting, storing, analysing and visualising these data is now easier than ever before.

Getting a thorough theoretical and practical understanding of all aspects of big data, however, is becoming more and more complex and has created new industries and a range of upcoming careers for professionals and aspiring university graduates.

These experts need to have both technical and business know-how as well as a range of management and soft skills in order to collect the relevant data, to analyse it using the latest AI technologies and to derive valuable insights for future business strategies and endeavours.

Computer Science - Focus on Big Data and Artificial Intelligence students from SRH Berlin University of Applied Sciences  learn about the latest big data technologies and know how to implement AI and machine learning tools in business environments. Apart from teaching our students to become technical experts, the curriculum provides them with the opportunity to strenghten their analytical, soft and business skills in a range of projects, assignments and internships.

Career Perspectives

Advance your career with a Master's degree 

Computer Science graduates are qualified for demanding analytical positions in leading industries such as banking, healthcare, retail or manufacturing. They are also qualified for careers in IT Management and IT Consulting.

Potential employment opportunities are:

  • Business Analytics
  • Marketing
  • Strategic Management
  • Consulting

Programme Structure

Courses include:

  • Programming  
  • Profiling: Big Data Analysis, Data Visualisation  
  • Big Data Technologies
  • Tools & Methods of Data Analysis  
  • Cloud Solutions

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

120 ECTS

Delivered

On Campus

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
87
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.
59

Other requirements

General requirements

Bachelor's degree in

  • Computer Science
  • Information Systems or
  • equivalent degree in the same area of studies.

Further requirements are

  • proof of English language proficiency and
  • successful participation in the selection process. 

Tuition Fee

  • International

    10800 EUR/year
    Tuition Fee
    Based on the original amount of 5400 EUR per semester and a duration of 24 months.
  • EU/EEA (incl. Albania, North Macedonia, Switzerland) €780 / month
  • Non-EU/Non-EEA €5400 / semester

Funding

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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