Education

What can you find on this webpage?

Our (future) students can find the official study programme and other useful info here.

You can find information about admission requirements, further studies and more practical info such as ECTS sheets, or a weekly timetable of the current academic year.

Are you a future student?

Be sure to first take a look at the page about the Master of Artificial Intelligence in Business and Industry.

There you can find more info on:

- What’s the programme about?

- Starting profile

- Admission and application

- Future possibilities

- Why KU Leuven

- Contact

- ...

Objectives

MMK1 Scientific-disciplinary knowledge and comprehension in the field of Artificial Intelligence
1. Students have scientific-disciplinary knowledge and comprehension in the field of Artificial Intelligence: they understand how state-of-the-art AI systems are built, how they are used in practice, they lead to added value from a business perspective and what the relevant legal and ethical considerations are.
MMK2 Gaining in-depth knowledge and comprehension, including the ability to develop relevant prototypes or proof-of-concepts, in at least one of the following disciplines in Artificial Intelligence: machine learning, deep learning, knowledge representation, computer vision, audio processing, natural language processing, search and optimisation. Gaining in-depth knowledge and comprehension of at least one of the following application domains of Artificial Intelligence: health, education, logistics, manufacturing, robotics.

MMI1 Problem analysis and solving
1. Students adopt a systematic or innovative approach, using their analytical skills, when solving complex practical engineering problems in the domain of Artificial Intelligence
MMI2 Design and/or development
2. Students can design, implement and test an Artificial Intelligence product or service, keeping the concrete context in mind.
MMI3 Application-oriented research
3. Students demonstrate the ability to act with a creative, precise, inquisitive and critical research attitude by formulating an application-oriented research problem in the domain of Artificial Intelligence, and by choosing and applying the appropriate methodologies to carry out the necessary experiments, including the critical interpretation of the results.
MMI4 Ethical behavior
4. Student are aware of the impact that Artificial Intelligence systems can have on people and societies, and can reason about this from an ethical, legal and/or psychological perspective. They show ethical behavior when acting as a professional in this domain.
MMI5 Entrepreneurship
5. Students show an entrepreneurial attitude and are aware of the hurdles that need to be overcome when bringing an innovative idea in the domain of Artificial Intelligence to the market. They can consider different innovative ways of making AI technology operational and are able to draw conclusions from relevant experiments in a business context.

MMP1 To make operational
1. Students can perform all acts necessary to make systems, products, devices, equipment, and test installations in the domain of Artificial Intelligence operational.

MMG1 Information gathering and processing
1. Students can find, evaluate and process scientific and technological information in the domain of Artificial Intelligence.
MMG2 Communication with engineers and non-engineers
2. Students correctly employ the scientific and technological vocabulary typical for the domain of Artificial Intelligence.
MMG3 Critical thinking
3. Students reflect critically on their choices, actions and obtained results, and can justify the choices made.
MMG4 Working in a team in different roles
4. Students function as a loyal member within an interdisciplinary team, act independently and in a responsible way, helping the team to achieve its goals.
MMG5 Professionalism
5. Students work accurately, show curiosity and perseverance, respect deadlines and commitments, are aware of the limitations of own competences. The students act in a result-oriented way, pay attention to planning and to technical, economical and societal constraints like sustainability. The students can estimate risks and feasibility of a proposed approach or solution and obtain effective solutions.

Educational quality of the study programme

Here you can find an overview of the results of the COBRA internal quality assurance method.

Educational quality at study programme level

Blueprint
Blueprint_MNM_Artificial Intelligence in Business and Industry.pdf

Educational quality at university level

• Consult the documents on educational quality available at university level.

More information?

• More information on the educational quality at KU Leuven
• More information on the available documents