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.
|Degree||Master of Science (M. Sc.)|
|Duration of Study||
Winter Semester (September)
|Study Type||Full Time|
Bachelor's degree in Computer Science or Information Technology, proof of English language proficiency and successful participation in the selection process.
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.
|1. Semester||2. Semester||3. Semester||4. Semester|
|Programming||Profiling: Big Data Analysis, Data Visualisation||Big Data Technologies||Internship|
|Tools & Methods of Data Analysis||Cloud Solutions||Machine Learning||Thesis|
|Software Development Process||Technology Project II/Company Project II||AI Use Cases|
|Business Game||Scientific Work|
|Technology Project I||Technology Project III|
|Company Project I||Company Project III|
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
- Strategic Management
Pursue a doctor’s degree
The degree in Computer Science prepares you for a leading position in a company, an academic career or a PhD.
Get your career started at SRH Hochschule Berlin and apply for our Master's programme. Here you find information about admission requirements and your next steps towards studying at SRH.
You can start your studies at SRH Hochschule Berlin in the winter semester. Just apply online now. We will carefully review your application and invite you to an interview if your qualifications meet our Master's study criteria. Applying is free of charge.
Admission requirements vary according to the educational background and citizenship of applicants.
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.
All applications are examined individually to determine if they meet the admission requirements.
Proof of language skills
The following English proficiency tests are accepted:
- TOEFL 87 ibt
- TOEIC Listening/Reading 785, Speaking 160, Writing 150
- IELTS (academic) 6.5
- CAE (grade A, B, or C)
- CPE (grade A, B or C)
- Pearson English Test Academic (PTE-A): 59 Points
- B2 First: 173
Studying at SRH Hochschule Berlin is worth the investment. You benefit from high-quality education that will prepare you for the challenges of your dream job.
A degree from SRH Hochschule Berlin facilitates the entry into the job market. Excellent study conditions and comprehensive services help you focus on your studies.
|citizenship||September 2019 intake|
|EU/EEA (incl. Albania and North Macedonia)||€780 / month|
|Non-EU/Non-EEA||€5400 / semester|
Please note: The monthly/semester tuition fees remain the same for the entire duration of the study programme.
There is a fixed examination fee of €2,400 which is split into four equal instalments of €600 that are due each semester. An extra one-off fee of €280 for our diversity training (intercultural events, excursions and language courses) is added to the tuition fees as well as fees for our career preparation service phase (€700 in total).
An additional enrolment fee of €350 (EU/EEA students) / €750 (Non-EU/EEA students) is to be paid once at the start of the programme.
Funding and Scholarships
Information on financing options & scholarships can be found here.
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