About Computer Science - Focus On Big Data And Artificial Intelligence in SRH Hochschule Berlin
Become a data scientist with advanced managerial skills
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.
Our new Master's programme 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.
Computer Science students 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.
Content, Objective and Course Structure
Our Big Data and Artificial Intelligence students gain plenty of real work experience during their studies in different projects and during different assignments. They know how to work in groups and independently and get to deepen their intercultural, managerial and communication skills while working on company, technology and research projects. Their analytical as well as professional mindset makes them a very sought-after asset in today's and tomorrow's job market.
Knowledge, methods, experience and personality
Professional, social, methodological and practical skills: thanks to the newly developed curriculum, our study programme provides you with comprehensive skills. The international profile of our university and the intercultural character of our student body strengthen your personality. SRH offers you the ideal conditions to thrive in a multicultural world.
Career Perspectives
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
Academic qualification equivalents
- Bachelor's degree from a university or technical college with a minimum of 180 ECTS points
English language requirements (one of the below):
- IELTS : (academic) 6.5
- TOEFL : 87 ibt
- PTE : 59
SRH Hochschule Berlin Highlights
Institute Type |
Private Institution |
Campus Setting |
Urban |
Number of Staff |
116 |
Number of Teaching Staff |
34 |
Number of International Students |
1000 |
Undergraduate Programs |
15 |
Graduate Programs |
14 |
MBA programs |
6 |
Mode of Programs Offered |
Full time and Part-time |
Medium of Instruction |
German and English |
Average Tuition Fee for International Undergraduate Students |
3,900 - 4,000 EUR per semester |
Average Tuition Fee for International Graduate Students |
5,400 - 5,600 EUR per semester |
Proficiency Test for the English Language |
TOEFL/ TOEIC/ IELTS/ CAE/ CPE/ PTE/ B2 Firs |
Financial Aid |
Scholarships, loans, and grants |
Mode of Application |
Online |
SRH Hochschule Berlin University Cost of Attendance
The table tabulated below shows the estimated cost of attendance
Fee |
Bachelors Program |
Masters program |
MBA program |
Tuition fee (non-EU/ EEA) (EUR) |
3,900 per semester |
5,400 per semester |
7,200 per semester |
Examination fee |
NA |
600 |
NA |
Diversity Training fee |
NA |
280 |
280 |