• Anytime
    Application Deadline
  • 24 months
    Duration
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. 

About

Consumers, applications and businesses are generating an ever-growing amount of data that are hard to manage, yet these data are very important in today’s competitive business environment. Companies that know what type of data to collect and how to use the data in order to develop successful management strategies are and will be ahead of the game.

This difficult task can only be solved by experts with proficient technological knowledge who know how to collect, store, analyse and visualise the relevant data. Not only do they need to be big data experts, they also need to understand how businesses and their decision-making processes work in order to implement successful business strategies and tactics.

During our new Master’s programme our students learn how to analyse critical data, get to know the latest technologies and technological trends and know how to apply their knowledge to real business cases.

After learning some of the foundations in computer science, students focus on data analysis methods, big data technologies and machine learning applications. Case studies on Artificial Intelligence, projects with real industry partners, a profiling semester as well as an internship guarantee that “Big Data and AI” students receive both a theoretical and hands-on education that helps them build their soft, intercultural and communication skills.

Due to the high demand in the job market for people with data science and business skills as well as experience in the industry, graduates of the Bachelor of Science programme are sought-after specialists with many career opportunities in Germany and abroad.

Accreditation

The Master’s degree in Computer Science - Focus on Big Data and Artificial Intelligence at SRH Hochschule Berlin is accredited by  the German Accreditation Council (GAC).

Programme Structure

1. Semester

  • Programming
  • Tools and Methods of Data Analysis
  • Software Development Process
  • Business Game
  • Technology Project I
  • Company Project I

2. Semester

  • Profiling: Big Data Analysis, Data Visualisation
  • Cloud Solutions
  • Technology Project II/Company Project II

3. Semester

  • Big Data Technologies
  • Machine Learning
  • AI Use Cases
  • Scientific Work
  • Technology Project III
  • Company Project III

4. Semester

  • Internship
  • Thesis

Detailed Programme Facts

  • More details: If you are an international candidate, we recommend to apply at least 3 months before the start of your studies in order to have enough time to make the necessary visa and travel arrangements.
  • Programme intensity Full-time
    • Full-time duration 24 months
  • Credits
    120 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus
  • More information Go to the programme website

English Language Requirements

  • Minimum required score:

    6.5

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Schedule IELTS
  • Minimum required score:

    87

    The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.

    Schedule TOEFL®
  • Minimum required score:

    59

    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. Delivered and marked by computer, it reports on a scale between 10 and 90.

General Requirements

Admission requirements vary according to the educational background and citizenship of candidates.

The basic requirements are:

  • Bachelor’s degree or equivalent
  • Successful participation in the selection process
  • Proof of English language proficiency.

Applications of international candidates are examined individually to determine if they fulfil the admission requirements.

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

    9360 EUR/year
    Tuition Fee
    Based on the original amount of 4680 EUR per semester and a duration of 24 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Living costs for Berlin

  • 836 - 1340 EUR/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Study loans and a small number of scholarships

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.

The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.

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