With our Master's in Big Data & AI, you'll become an expert in data science! You will get to know the latest big data technologies and how to introduce AI tools in companies. You will also get to strengthen your analytical, business and soft skills.
Computer Science Big Data and Artificial Intelligence
- English
- summer and winter semester
Artificial Intelligence, Machine Learning...
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.
You will get to know the latest big data technologies and learn how to implement AI and machine learning tools in the business environment. In addition to technological expertise you get to deepen your analytical, business and soft skills in various projects and internships.
You also get to choose between:
- 4 Semester / 2-year option, if you completed your previous bachelor's degree with an equivalent of 180 European credit points (ECTS) or if you have a 3-year Bachelor's degree (subject to assessment by our admissions team)
- 3 Semester / 1.5-year option (Fast Track), if you completed your previous bachelor's degree with an equivalent of at least 210 European credit points (ECTS) or if you have at least a 3.5-year Bachelor's degree (subject to assessment by our admissions team)
Data Scientist, AI Product Manager...
During your studies you get to develop your intercultural, managerial and communication skills with practical projects. Due to your interdisciplinary IT and business education you will become 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
Your choice
2-year Master's or 1.5-year Master's (Fast Track)
We offer you the opportunity to complete your studies within 2 or 1.5 years. Choose between:
- Do your Master's in 2 years (4 semesters): 1.5 years of academic studies + 6-month internship
- Fast Track | Do your Master's in 1.5 years (3 semesters): 1.5 years of academic studies. For this Fast Track option you will need to have a relevant Bachelor's degree that is equivalent to 210 European credit points (ECTS) or at least 3.5 years of studies (subject to approval)
Brochures
Study programme brochure and more ...
The CORE Principle
Our study concept
Your studies are divided into 5-week blocks. During this time you focus on one IT-specific topic which you get to view from different angles. Thanks to this approach you can learn about real world challenges and strengthen the skills that employers are looking for.
Alumni Testimonial
Karanveer Singh Golan about his studies at SRH Berlin
"I have done my Master's Degree in Computer Science, focusing on Big Data and Artificial Intelligence.
I had a great learning experience at SRH Berlin University of Applied Sciences. The study course gave me great exposure and the chance to learn various subjects, including programming languages, machine learning, company projects, scientific work, data science, data analytics, cloud computing and various other latest technology projects, including new platforms, technologies, and approaches. The administration and the professors were very helpful during my studies, which helped me with my learning experience. I successfully completed my internship at BMW while writing my Master's thesis in the final semester."
4 Semester Option
4 Semester
120 ECTS
-
Advanced Data Technologies
5 -
Tools & Methods of Data Analysis
5 -
Software Development
5 -
Machine Learning
5 -
Advanced Programming
5 -
Advanced Mathematics
5
-
Cloud Solutions
5 -
Artificial Intelligence Use Cases
5 -
Agile Project & Risk Management
5 -
Open Source Intelligence
5 -
Artificial Intelligence
5 -
Big Data and Business Intelligence
5
-
Internship
30
-
Scientific Work
5 -
Master's Project
5 -
Master's Thesis and Defence
20
3 Semester Option | Fast Track
3 Semester
90 ECTS
-
Advanced Data Technologies
5 -
Tools & Methods of Data Analysis
5 -
Software Development
5 -
Machine Learning
5 -
Advanced Programming
5 -
Advanced Mathematics
5
-
Cloud Solutions
5 -
Artificial Intelligence Use Cases
5 -
Agile Project & Risk Management
5 -
Open Source Intelligence
5 -
Artificial Intelligence
5 -
Big Data and Business Intelligence
5
-
Scientific Work
5 -
Master's Project
5 -
Master's Thesis and Defence
20
We help you achieve your goals
Our requirements
To submit your application, you will need the following:
- Bachelor's degree in Computer Science, Information Systems or a similar area of studies - please submit your degree certificate and your transcript of records. If you do not have the degree certificate yet, you can also submit it before you start your studies.
- Proof of English language proficiency
- Secondary School Certificate
- Letter of motivation
- Curriculum vitae
- Copy of your passport/ID
You do not qualify for direct entry? Join our preparatory course and get qualified to start your Master’s degree at SRH.
Next available course
Your tuition fees
Tuition fees
- citizenship | EU/EEA (incl. Switzerland, Western Balkans and Ukraine): EUR 790 / month
- citizenship | Non-EU/EEA: EUR 6800 / semester
The monthly/semester tuition fees remain the same for the entire duration of the study programme.
An additional enrolment fee of EUR 750 (EU/EEA) / EUR 1000 (non-EU/EEA) is to be paid once. More information about our fees.
Funding
Information on financing options & scholarships can be found here.
Application process and deadlines
Please find the Application and Late Arrival deadlines here.
We are happy to welcome you to our university. This is our application process:
- You submit your online application via the SRH application portal
- If you meet the admission requirements, we will invite you to a personal/phone interview
- If the interview is successful, you will receive an acceptance letter and the study contract
- You will sign the study contract and send it back to us
- You will pay the enrolment fee
- You will receive your letter of admission
- You take part in our Welcome Week and then you are good to go!
Join our 3 different webinar series
- How do I apply? series
- How do I finance my studies? series
- Q&A with your study advisor series
