SRH Berlin University of Applied Sciences

Computer Science Big Data and Artifical Intelligence

  • Master of Science (M.Sc.)
  • 4 Semesters
  • on campus
  • 120 ECTS
  • €750/Month
  • subject to: approval by the state of Saxony
  • In accreditation
  • Full time
  • Fast track available

Become a Big Data specialist! In our Master's program for Big Data and Artificial Intelligence, you will learn about the latest technologies and discover how to successfully integrate AI tools into businesses.

  • English
  • 1st intake: October 2024
Master in AI & Bid Data student at SRH Campus Leipzig
Your Course Content

Artificial Intelligence, Machine Learning...

Our program offers a comprehensive computer science education that includes traditional modules like software development and programming, while also providing specialized knowledge in the field of Big Data and Artificial Intelligence.

You will lean all about the latest Big Data technologies and how to implement AI and Machine Learning tools in businesses and the corporate environment. In addition to technical expertise, the practical curriculum will help you deepen your analytical, business, and soft skills through various projects and internships.

You can also choose from different options to customize your studies:

  • 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)
YOUR CAREER PROSPECTS

Data Scientist, AI Product Manager...

In your academic journey, you are actively cultivating your intercultural, management, and communication abilities through hands-on projects. Thanks to your education in IT and management, you are positioned as a highly sought-after expert in the current and future job market.

Upon graduation, you will have access to various career opportunities, including:

  • Positions in business analytics
  • Management positions in marketing and strategic management
  • IT manager
  • IT consultant
Your choice
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
Get more information about the study programme!

Study programme brochure and more ...

The CORE Principle
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.

Learn more about our academic approach
Alumni Testimonial
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
1. Semester
  • Advanced Data Technologies

    5
  • Tools & Methods of Data Analysis

    5
  • Software Development

    5
  • Machine Learning

    5
  • Advanced Programming

    5
  • Advanced Mathematics

    5
2. Semester
  • 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
3. Semester
  • Internship

    30
4. Semester
  • Scientific Work

    5
  • Master's Project

    5
  • Master's Thesis and Defence

    20

3 Semester Option | Fast Track

3 Semester 90 ECTS
1. Semester
  • Advanced Data Technologies

    5
  • Tools & Methods of Data Analysis

    5
  • Software Development

    5
  • Machine Learning

    5
  • Advanced Programming

    5
  • Advanced Mathematics

    5
2. Semester
  • 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
3. Semester
  • Scientific Work

    5
  • Master's Project

    5
  • Master's Thesis and Defence

    20
Find your unibuddy.
Chat with our students.

Do you want firsthand information? Our students are happy to share their experiences with you, tell you about their courses, their projects and student life in Berlin, Hamburg and Dresden.

Admission requirements

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 Bachelor’s degree at SRH.

Next available courses

Here are the English requirements you should bring along:

  • TOEFL 87 ibt (direct entry)
  • TOEFL 79 - 86 ibt (with additional agreement)
  • TOEIC 785 (Listening/Reading 785, Speaking 160, Writing 150)
  • IELTS/ IELTS ONLINE (academic) 6.5 on average - please see Language Centre guidelines if results differ
  • CAE (grade A, B, or C)
  • CPE (grade A, B or C)
  • Pearson English Test Academic (PTE-A) 59 points
  • Linguaskill: 176 - 184 (CES) - all four skills required
  • Duolingo 110 points
Fees and Funding

Your tuition fees

Tuition fees

  • citizenship | EU/EEA (incl. Switzerland, Western Balkans and Ukraine): EUR 750 / month
  • citizenship | Non-EU/EEA: EUR 5450 / 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.

Apply now

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:

  1. You submit your online application via the SRH application portal
  2. If you meet the admission requirements, we will invite you to a personal/phone interview
  3. If the interview is successful, you will receive an acceptance letter and the study contract
  4. You will sign the study contract and send it back to us
  5. You will pay the enrolment fee
  6. You will receive your letter of admission
  7. You take part in our Welcome Week and then you are good to go!
Get started now Your path into the future
  • You will take part in a step-by-step learning experience
  • You will study in small teams through practice-oriented tasks
  • You can concentrate on what is important in 5-week blocks
  • You will receive individual support from your lecturers
Apply now!