Master of Artificial Intelligence in Business and Industry 12 months Postgraduate Program By KU Leuven |Top Universities
Program Duration

12 monthsProgram duration

Tuitionfee

7,518 EURTuition Fee/year

Scholarship

YesScholarships

Main Subject Area

Engineering - GeneralMain Subject Area

Program overview

Main Subject

Engineering - General

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Master of Artificial Intelligence in Business and Industry

Artificial Intelligence is revolutionising many domains in business and industry. However, companies often experience a lack of skilled staff to help them make this transition. This new advanced master's programme aims to give engineers and technically trained professionals the necessary skills to develop innovative applications with AI.

About the programme

AI is revolutionising many domains in business and industry. However, companies often experience a lack of skilled staff to help them make this transition. This new advanced master's programme aims to give engineers and technically trained professionals the necessary skills to develop innovative applications with AI. 

The master is intended for engineers (or master’s holders with a sufficient background in mathematics) who wish to learn the foundations of AI and its applications in business and industry. The programme focuses on applications and engineering skills within an interdisciplinary programme with a strong academic foundation. The programme is aimed at both recent graduates and professionals. It was developed in collaboration with several key industrial partners and is jointly organised by the Faculty of Engineering Technology, Engineering Science, Economics and Business and Faculty of Science.

The programme is aimed at engineers and other masters with a background in physics and mathematics. Whilst recently graduated students are welcome, the programme offers added value to professionals with field experience wishing to re- or upskill themselves in the field of Artificial Intelligence. 

The programme consists of 4 thematical pillars that cover all aspects required in an AI-related education programme: AI Foundations, AI & Industry, AI & Business and AI & Society. The master’s thesis (with optional internship) completes the programme. 

Career perspectives

Graduates are qualified for roles in companies developing technologies that translate AI research findings into practical solutions for sectors such as healthcare, logistics, manufacturing, etc. Graduates can design, develop and evaluate innovative AI systems, typically up to the level of a prototype. Positions in these fields include process or quality engineers, consultants, product developers and researchers in the R&D-division. 

Other professional possibilities include research departments embedded in a university, a research institute, a specialised SME or start-up, or an international company.
Engineering technologists are also needed to create viable instruments and processes, taking into account the need for verification and validation of the instrument or process. Alumni are also well prepared for entering a PhD programme. 

Program overview

Main Subject

Engineering - General

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Master of Artificial Intelligence in Business and Industry

Artificial Intelligence is revolutionising many domains in business and industry. However, companies often experience a lack of skilled staff to help them make this transition. This new advanced master's programme aims to give engineers and technically trained professionals the necessary skills to develop innovative applications with AI.

About the programme

AI is revolutionising many domains in business and industry. However, companies often experience a lack of skilled staff to help them make this transition. This new advanced master's programme aims to give engineers and technically trained professionals the necessary skills to develop innovative applications with AI. 

The master is intended for engineers (or master’s holders with a sufficient background in mathematics) who wish to learn the foundations of AI and its applications in business and industry. The programme focuses on applications and engineering skills within an interdisciplinary programme with a strong academic foundation. The programme is aimed at both recent graduates and professionals. It was developed in collaboration with several key industrial partners and is jointly organised by the Faculty of Engineering Technology, Engineering Science, Economics and Business and Faculty of Science.

The programme is aimed at engineers and other masters with a background in physics and mathematics. Whilst recently graduated students are welcome, the programme offers added value to professionals with field experience wishing to re- or upskill themselves in the field of Artificial Intelligence. 

The programme consists of 4 thematical pillars that cover all aspects required in an AI-related education programme: AI Foundations, AI & Industry, AI & Business and AI & Society. The master’s thesis (with optional internship) completes the programme. 

Career perspectives

Graduates are qualified for roles in companies developing technologies that translate AI research findings into practical solutions for sectors such as healthcare, logistics, manufacturing, etc. Graduates can design, develop and evaluate innovative AI systems, typically up to the level of a prototype. Positions in these fields include process or quality engineers, consultants, product developers and researchers in the R&D-division. 

Other professional possibilities include research departments embedded in a university, a research institute, a specialised SME or start-up, or an international company.
Engineering technologists are also needed to create viable instruments and processes, taking into account the need for verification and validation of the instrument or process. Alumni are also well prepared for entering a PhD programme. 

Admission requirements

Undergraduate

0+

Admission criteria

  • MA Engineering Technology: Electromechanical Engineering Technology
  • MA Engineering Technology: Electronics and ICT Engineering Technology
  • MA Engineering Technology: Informatics
  • All MA degrees in Engineering Science
  • MA Applied Informatics
  • MA Business and Information Systems Engineering
  • MA Business Engineering option Data Science
For the most recent – and only official – information on the admission requirements, please check our webpage.

Student profile

This advanced master’s programme is aimed at graduated engineers and other masters with a background in physics and mathematics. Whilst recently graduated students are welcome, the programme offers added value to professionals with field experience wishing to re- or upskill themselves in Artificial Intelligence.

1 Year
Sep

Tuition fee and scholarships

Domestic Students

7,518 EUR
-

International Students

7,518 EUR
-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

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