Apply now and you may be eligible for a scholarship of up to 30% for international and European students!

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 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.

This programme is awarded by GISMA Business School.

 

Our study guarantee: start your studies online or on campus

As an educational institution, we want to ensure that our students can start studying with us no matter the circumstance and we want to give you every chance to progress with your education and build a successful career. At GISMA we want to assure you that there will be an option for you to study and start your programme on time regardless of whether the campus is open or closed. We also want to assure you that you will still be able to study in the case where the campus is open but, due to health concerns or travel restrictions, you are unable to attend the classes in person on time.

With this in mind, all of our students will have the option to start their studies online. Students will learn in a hybrid format, which is a live learning experience and allows for interaction with the tutor, as well as the ability to work in student groups. Students will then have the option to complete the programme on-campus in Germany as soon as possible.

 

Accreditations and rankings

GISMA Business School is state recognised. It also benefits from AMBA accreditation, which was awarded for the Global MBA and is an honour shared by only 6 business schools in Germany and 2% of all business schools worldwide. The prestigious AMBA accreditation represents innovation and excellence in education.

GISMA Business School also has a long history of working with partner universities in Europe and has been trusted to deliver 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 skill set, 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.

 


Programme structure

 

Data Science and AI

  • Intro to AI and Machine Learning
  • 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

Your future career

With a diverse skillset in data science, AI, and digital business you might choose to join a leading data or technology company such as Google, IBM, or Apple. Alternatively, you would be perfectly equipped to contribute to the innovative start-up culture in Berlin, either by driving growth in an up-and-coming enterprise or by founding your own company. As you will have acquired valuable digital business competencies, you’ll also have the option to venture into or advance in a different field of business, such as marketing or project management, and work in a data-driven leadership role.

Our dedicated Career Centre will help students fulfil their career goals through a variety of specialised services and establishes long-lasting relationships with alumni and employers.


Fees and funding

Please contact a programme consultant for more details on how to apply.

1-year programme

Tuition fee - € 13,000 / Year

International fee - €15,500 / Year

 

2-year programme

Tuition fee - € 11,000 / Year

International fee - €12,500 / Year

Apply now and you may be eligible for a scholarship of up to 30% for students and European students!

 

Flexible payment plan

GISMA offers flexible payment plans that allow you to spread the costs of your programme fees in up to six instalments. A refundable* deposit of €2,000 is required to secure your place, and the remainder of the tuition fee is to be paid after the start of the programme in accordance with your payment schedule.

You will be eligible for a discount of 5% off the total fee if the payment of the entire tuition fee is completed before the first instalment due date.

Payments are accepted by bank transfer, or via one of our payment partners – Transfermate and Stripe. If you have any queries regarding payment options, please speak to a programme consultant.

*Terms and conditions apply.

A specific payment plan for you can be agreed with GISMA and only the deposit is the fixed amount that is required. Should you be granted a scholarship, the tuition fee schedule will be adjusted accordingly.

 

Entry 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.

 

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  • GISMA Berlin-Potsdam Campus
  • 12 or 24 months
  • May, Sep 2021
  • € 13,000 per year
  • € 15500 International students

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Recognised


GISMA Business School is state recognised

Top 2


Germany has the 2nd best unemployment rate in Europe at 3.4%*

 

*Statista

€45,000


Chance to earn €45,000**, the average graduate salary in Germany

**Business Insider

40+


Join a network of students from over 40 nationalities across the globe

"I chose GISMA because it is a very international business school, with alumni, worldwide"

Peiyi Zhang - China, Msc Innovation, Strategy and Entrepreneurship

"Grenoble Ecole de Management is one of the most highly qualified institutes and they have so many accreditations as well"

Ankit Gupta - India, Msc Innovation, Strategy and Entrepreneurship

"Tutors come from all around the world and their expertise makes subjects very easy to follow"

Akhil Jacob - India, MIB

"Everyone is international, so you learn a little bit about them, and their countries and traditions"

Kimberly Garza - Mexico, Msc Innovation, Strategy and Entrepreneurship

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