36 months
Duration
10500 EUR/year
9600 EUR/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

If you are interested in business and technology, this AMBA accredited degree will help you gain analytical skills and increase you employability in a highly future-oriented career.

Visit the official programme website for more information

Overview

Become an expert in data science by mastering analytics, visualisation, and governance of data, and discover the fascinating world of AI. 

This Data Science, AI and Digital Business programme offered by GISMA Business School also covers general business skills, which will boost your employability. 

You will benefit from a highly international atmosphere by studying at GISMA Business School at the Berlin-Potsdam campus, in close proximity to global companies such as SAP. 

You’ll also have the opportunity to spend a semester abroad – choose from a selection of leading technology hubs such as London, Shanghai, and Singapore. You can combine this with an internship or business project so that you’ll be ready to kick-start your career as soon as you graduate.

Accreditations and rankings

GISMA Business School also has a long history of working with partner universities in Europe and has successfully delivered partner programmes accredited by AACSB, AMBA, EQUIS, and EPAS.

Who is the programme for?

The programme is perfect for those who are passionate about data and cutting-edge technology and who seek to combine this passion with general business skills and intercultural competencies to enhance their job prospects in the field of data and AI.

What will you learn?

This programme covers all aspects of data science, from statistical modelling to big data and data governance. 

You’ll dive into the highly relevant topic of AI and predictive analytics and you’ll learn to make strategic decisions based on data. 

You will also acquire intercultural communication skills and digital business competencies such as digital marketing and economics. With this diverse and valuable skillset, you will be an asset to any technological company anywhere in the world.

How will you study? 

GISMA Business School supports flexible and individual learning by applying a systematic hybrid learning scheme. 

You will spend part of your lectures in class at our Berlin-Potsdam campus. These face-to-face phases are complemented by e-learning sessions. 

You will work on cases, reflect on readings, take part in online discussions, and participate in group exercises and projects. 

This variety of learning methods is part of our unique teaching strategy, which includes student-centred pedagogy, project-based learning, collaborative learning, and personalised coaching. 

Why GISMA? 

  • Partnerships with some of the best educational institutions from around the world
  • Programmes with top global rankings – the Grenoble MIB is ranked 20th in the world by the Economist in 2017
  • International student cohort with over 40 nationalities represented - expand your network
  • Excellent student services such as a dedicated Career Centre, visa support and accommodation team
  • Scholarships and flexible payment plans available 
  • Graduates will be entitled to apply for an 18-month post-study residence permit to take advantage of career opportunities in Germany
  • Free German classes
  • Programmes taught 100% in English - the language of international communication

Why Germany? 

  • Germany has the 2nd best unemployment rate in the EU, at 3.4%
  • 4th Best Graduate starting salary at £40,650 in Europe, with a growing economy
  • Germany is the most popular option for international students looking to study in Europe; It is recognised for its high-quality education and you can experience this with GISMA
  • Berlin, Germany’s capital is the start-up technology capital of Europe
  • Berlin is the largest city in the EU and has a thriving business scene, offering a range of job opportunities to young professionals and graduates.

Germany is well known for its rich history in culture and arts, offering students an enriching international experience whilst combining world-class education from our globally ranked partner institutions. 

Accreditation

AACSB, AMBA, EQUIS, and EPAS

Programme Structure

Data Science and AI

  • Data, AI and the Digital Enterprise
  • Data Analytics and Computing Tools
  • AI and Predictive Analytics
  • Analysing Data
  • Applied Statistical Modelling
  • Data Visualisation and Big Data
  • Data Driven Strategic Decision Making
  • Data Governance, Security and Ethics
General business competencies
  • Digital Transformation and Cases
  • Economics and Digital Economics
  • Marketing
  • Circular Economy and Sustainabilty
  • Project Management
  • Innovation Management in a Digital and Globalised
World
  • Digital Marketing and Analytics
  • Leadership in a Digitalised & Globalised World

Action and intercultural competencies

Foreign Language Intercultural Skills and EthicsCreative Problem Solving and Strategy DevelopmentInternshipStudy Abroad, Internship or Career Development Semester
  • Scientific and Methods Competencies
  • Business Mathematics
  • Statistics
  • Academic Writing and Research Methods
  • Bachelor Thesis

Key information

Duration

  • Full-time
    • 36 months

Start dates & application deadlines

Language

English
IELTS admission requirements IELTS
5.5

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

IELTS admission requirements IELTS
5.5

Other requirements

General requirements

  • General university entrance qualification 
  • English proficiency: B2 (IELTS 5.5) or equivalent
  • Non-standard entry: non-standard applicants are welcome to apply.  

Tuition Fee

To alway see correct tuition fees
  • International

    10500 EUR/year
    Tuition Fee
    Based on the tuition of 10500 EUR per year during 36 months.
  • EU/EEA

    9600 EUR/year
    Tuition Fee
    Based on the tuition of 9600 EUR per year during 36 months.

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

Upto 25% Scholarship

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.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Data Science, AI and Digital Business
-
GISMA Business School

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