Study cover for Data Science, AI and Digital Business
M.Sc. On Campus Online

Data Science, AI and Digital Business

GISMA Business School

12 months
Duration
15500 EUR/year
13000 EUR/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

In this MSc you’ll combine actual aspects of technology with business perspectives while studying in a multicultural environment. You can even go abroad for one semester. 

Visit the official programme website for more information

Overview

Digital technologies are omnipresent in today's society and business world. All areas of life are affected by a digital revolution which is evolving faster and faster. Artificial intelligence, 5G, Big Data, the Internet of Things, and Blockchain will disrupt traditional business models. Job roles will change. 

Study the MSc in Data Science, AI and Digital Business at GISMA Business School  to be prepared for this change Become an expert in data science and AI by mastering machine learning, big data analytics, methods of prediction, and leadership of virtual teams. 

This programme also covers general business skills such as project and innovation management, which will boost your employability. 

You will benefit from a highly international atmosphere by studying at GISMA Business School in the Berlin area, in close proximity to global companies such as Tesla. If you study the 2-year programme you’ll also have the opportunity to do an internship or business project or spend a semester abroad – choose from a selection of leading technology hubs such as London, Shanghai, and Singapore. 

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 with undergraduate degrees in engineering, data science or technology-related sciences who seek to specialise further in this field. It is also perfect for graduates of other complementary scientific disciplines such as business, economics, law, social sciences, or psychology, who are interested in pursuing a data-related career path. This programme is also suitable for anyone who has work experience in data science and AI and wishes to advance their career with a postgraduate degree. 

What will you learn?

This programme covers multiple aspects of data science and AI, from machine learning to big data analytics and ethics in AI. You will also work on your leadership skills and digital business competencies such as digital marketing and innovation management. With this diverse and valuable skillset, you will be an asset to any future-oriented company.

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.

You can start working on your master thesis after you have earned two thirds of the total programme credits. The thesis takes three months in the 1-year programme and six months in the 2-year programme.

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

"Programme StructureData Science and AI

  • Methods of Prediction
  • AI and Applications
  • Big Data Analytics
  • Data Visualisation and Communication
  • Business Project in Big Data & AI
General business competencies
  • Project Management
  • Innovation Management and Digital Transformation
  • Digital Marketing & Analytics
  • CSR, Diversity and Ethics
Leadership, action and intercultural competencies
  • Behavioural Competencies in Virtual Teams
  • Ethical Issues for AI
  • CEO Decision Making & Case Studies

Study abroad or Internship or Business Project

  • Scientific and Methods Competence
  • Research Methods and Scientific Work
  • Master Thesis

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Delivered

On Campus, Online

Academic requirements

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

Other requirements

General requirements

  • Bachelor’s degree in relevant scientific discipline 
  • English proficiency: B2 (IELTS 6.0) or equivalent
  • For non-standard entry routes please seek clarification on requirements with our admissions team.

Tuition Fee

To alway see correct tuition fees
  • International

    15500 EUR/year
    Tuition Fee
    Based on the tuition of 15500 EUR per year during 12 months.
  • EU/EEA

    13000 EUR/year
    Tuition Fee
    Based on the tuition of 13000 EUR per year during 12 months.

1-year programme

  • EU fee - € 13,000 / Year
  • International fee - €15,500 / Year
2-year programme
  • EU fee - € 11,000 / Year
  • International fee - €12,500 / Year
2-year online programme
  • Online fee - € 4,750 / year

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

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 6 months

Check the official programme website for potential updates.

Our partners

Data Science, AI and Digital Business
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GISMA Business School

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