|Degree:||Master of Science (MSc)|
|University website:||Artificial Intelligence in Business and Industry|
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.
All applications from students who have obtained a degree outside the Flemish Community are evaluated by both KU Leuven Admissions Office and the relevant master’s programme director. Final admission decisions will made be at the discretion of the Faculty.
Academic background: All applicants need to have obtained a relevant master degree to enter this programme. Other applicants need to demonstrate that they have the necessary mathematical background, completed an academic four-year master programme (or equivalent), at least basic programming skills and are motivated to successfully complete this programme and willing to spend the required effort.
English language proficiency: All applicants who have not obtained a previous diploma in a programme taught in English in Australia, English-speaking Canada, Ireland, New Zealand, the United Kingdom and the United States of America must submit a certificate proving their proficiency in English.
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.
It is worth noting that our tuition fees are cheaper than in many other European countries thanks to the generous financing of the higher education system by our government. Although all of our programmes are very affordable compared to equivalent universities around the world, the fees for any individual student are contingent upon their choice of academic programme and the nationality of the student.
Our aim is to offer afforable tuition fees for all students, which means we only have a limited number of scholarships available for students from particular backgrounds or studying in particular fields.
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.