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Duration: 2 years
Location: Geneva Campus

Master of Science in Big Data & Artificial Intelligence

The Master's degree in Big Data & Artificial Intelligence aims to consolidate and deepen the skills acquired in the Bachelor's program. Recognized at European level, it enables students to specialize in the field of data and AI, and trains specialists capable of collecting, processing and analyzing large volumes of data, designing high-performance machine learning and artificial intelligence models, and developing innovative solutions adapted to the needs of companies and research. The program prepares students for high-level careers in the digital sector.

Official recognition at federal level

Double graduation swiss and international

Practical and certifying computer training

Admission requirements :

Hold a Bac +3 degree

In exceptional cases and on the advice of the commission : Baccalaureate + significant professional experience

Procedure :

The course lasts two years and can be completed in alternating years. Internships are also available with Geneva Institute of Technology's partner companies. Please consult the training program below for a list of the modules covered during your training.

Here is a non-exhaustive list of the professions that will be open to you on graduation:

  • Infrastructure project manager
  • IS planner
  • Integration and support team leader
  • Software integrator consultant
  • IT Infrastructure Administrator
  • Database administrator
  • Software development engineer
  • Data Scientist

Various financing options are available to students:

  • Scholarships from the Service des Bourses et Prêts d'Études (SBPE).
  • Scholarships from various Swiss associations.
  • Chèque Annuel de Formation (CAF) for assistance ranging from CHF 750 to CHF 2,250.
  • Student loans at preferential rates through Banque du Léman

Admission requirements :

Hold a Bac +3 degree

In exceptional cases and on the advice of the commission : Baccalaureate + significant professional experience

Procedure :

The course lasts two years and can be completed in alternating years. Internships are also available with Geneva Institute of Technology's partner companies. Please consult the training program below for a list of the modules covered during your training.

Here is a non-exhaustive list of the professions that will be open to you on graduation:

  • Infrastructure project manager
  • IS planner
  • Integration and support team leader
  • Software integrator consultant
  • IT Infrastructure Administrator
  • Database administrator
  • Software development engineer
  • Data Scientist

Various financing options are available to students:

  • Scholarships from the Service des Bourses et Prêts d'Études (SBPE).
  • Scholarships from various Swiss associations.
  • Chèque Annuel de Formation (CAF) for assistance ranging from CHF 750 to CHF 2,250.
  • Student loans at preferential rates through Banque du Léman

Admission requirements :

Hold a Bac +3 degree

In exceptional cases and on the advice of the commission : Baccalaureate + significant professional experience

Procedure :

The course lasts two years and can be completed in alternating years. Internships are also available with Geneva Institute of Technology's partner companies. Please consult the training program below for a list of the modules covered during your training.

Here is a non-exhaustive list of the professions that will be open to you on graduation:

  • Infrastructure project manager
  • IS planner
  • Integration and support team leader
  • Software integrator consultant
  • IT Infrastructure Administrator
  • Database administrator
  • Software development engineer
  • Data Scientist

Various financing options are available to students:

  • Scholarships from the Service des Bourses et Prêts d'Études (SBPE).
  • Scholarships from various Swiss associations.
  • Chèque Annuel de Formation (CAF) for assistance ranging from CHF 750 to CHF 2,250.
  • Student loans at preferential rates through Banque du Léman

The Brevet Fédéral d'Informatique is a higher professional diploma, equivalent to a university Bachelor's degree, which combines theory and practice to develop your ICT skills.

This course is ideal for technicians and engineers wishing to move into positions of responsibility or specialize in cutting-edge fields.

Program training

The Master of Science in Big Data & Artificial Intelligence program includes a variety of modules covering technical, strategic and managerial aspects:
List of modules covered in 1st year

Big Data & Artificial Intelligence:

294 hours - ECTS : 32

Software-defined data center administration - English Course

Dataviz

BI Programming - Python

BI Programming - R

Big Data and Analytics

Datalakes

Datawarehousing and ETL

Data indexing and research

Machine Learning - English Course

Data Science

Quantum computing

Fundamentals for Machine Learning

DataOps

Big Data Unified data and analytics platforms

Soft skills and internships/ternships :

231 hours - ECTS : 28

School integration

Start-up & IT

Personal development - Oral and written expression - Advanced

Business English

Hiring strategy

Information system management - English courses

Professional feedback

Digital Medias / Industries or e-Industries / Retail or Finance curriculum - Courses in English

Professional experience &

Defense

Hackathon
List of modules covered in 2nd year

Big Data & Artificial Intelligence:

294 hours - ECTS : 34

Big Data and Analytics

Big Data Unified data and analytics platforms

Data indexing, search and visualization

Big Data and IoT

Data Science

Data Analysis and Data Mining

Machine Learning & Deep Learning - English Courses

DataOps

Business Intelligence and Decision Analysis - English Courses

Quantum computing Machine Learning

Soft skills and internships/ternships :

231 hours - ECTS : 26

School integration

Start-up & IT

Personal development - Oral and written expression - Advanced

Business English

Hiring strategy

Information system management - English courses

Professional feedback

Industries cursus - Digital Medias Industries cursus or- e-Industries

Industries cursus or Retail Industries cursus or Finance Industries cursus - Courses in English

Professional experience & Defense

Hackathon

Admission and prerequisites

Admission requirements :

Candidates for the Master of Science in Big Data & Artificial Intelligence must hold a Bachelor's degree in Computer Science, a Bac +3 in Computer Science or equivalent.

The admission process involves several stages:

  1. Initial contact, exchange of information
  2. Admission interview
  3. Admission tests
  4. Finalize registration

Target audience

The Master of Science in Big Data & Artificial Intelligence is aimed at holders of a Bachelor's degree in Computer Science or equivalent who wish to specialize in the fields of data and artificial intelligence.

Opportunities for career

With this diploma, you open the doors to strategic positions in a variety of sectors

IS planner
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Data Scientist
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Specialist in AI solutions integration
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IS & database administrator
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Why choose Geneva Institute of Technology ?

Official recognition

Diploma validated by the Swiss Confederation.

Strong partnerships

Access to a network of prestigious companies.

Flexibility

Training adapted to your professional constraints.

Personalized support

Follow-up throughout your career.

Rates & financing

Tuition for the Master of Science in Big Data & Artificial Intelligence course is CHF 9,900 per academic year.

Several payment options are available: 

  • One-off payment.
  • Quarterly payment.
  • Monthly payment .

Financial assistance available :

  • Scholarships from the Service des Bourses et Prêts d'Études (SBPE).
  • Scholarships from various Swiss associations.
  • Chèque Annuel de Formation (CAF) for assistance ranging from CHF 750 to CHF 2,250.
  • Student loans at preferential rates through Banque du Léman

The testimonials inspiring our students and their success

FAQ: Frequently asked Questions about our training courses

The CFC Informaticien.ne Exploitation & Infrastructure and Brevet Fédéral d'Informaticien.ne courses are given in French.

The Bachelors and Masters of Science in Computer Science are taught by in French, with a few international modules taught in English.

The Bachelor's and Master's of Science in Business Administration programs are taught by in English.

Yes, at the Geneva Institute of Technology you have several work-study options:

As part of the CFC IT Operations & Infrastructure training program, you can do a work-study program in one of the following areas up to a maximum of 80% from your third year of training.

On Bachelor Of Science courses in Computer Science, you can also combine your studies with a professional activity. up to a maximum of 80% from your third year of training.

The Master of Science in Computer Science degree can be combined with a professional activity. up to a maximum of 80% from the first year onwards.

The training for the Brevet Fédéral d'Informaticien.ne is carried out in parallel with a professional activity, with no limit on the number of hours worked, as courses are held exclusively in the evenings.

Yes, all diplomas awarded by the Geneva Institute of Technology are officially recognized: 

The CFC d'Informaticien.ne and the Brevet Fédéral d'Informaticien.ne are officially recognized and approved by the Swiss Confederation.

The Bachelors of Science in Computer Science and Business Administration are RNCP level 6 (Bac +3) and award 180 ECTS credits.

Masters of Science in Computer Science are RNCP level 7 (Bac +5) and award 120 ECTS credits.

The Master of Science in Business Administration is RNCP level 7 (Bac +5) and awards 90 ECTS credits.

Many career opportunities are open to our young graduates.

Some opportunities in the IT field : 

System and network administrator

ICT Application Developer

Cybersecurity Specialist

Some opportunities in administration and entrepreneurship:

Business developer

Administrative Manager

Customer advisor

Executive Assistant

Yes, the Brevet Fédéral d'Informaticien.ne course is online, except for the final exam.

Our news and advice

Registration & contact

Registration is online, and our team is on hand to help you with all the formalities.

Contact our team on +41 22 757 66 86 or visit our campus at Quai du Seujet 10, 1201 Geneva.