Artificial intelligence

Artificial intelligence (AI) is a technique by which computers perform multiple tasks, including cognitive tasks, which in the past have only been performed by humans. AI is increasingly becoming more interwoven in our society. AI algorithms perform an increasingly large number of daily tasks in modern society, though not usually labelled as AI. AI thus influences several aspects of our daily routine. This influence may be unnoticeable but has profound societal consequences. On the one hand, AI systems offer a range of advantages and opportunities. AI may help to ensure that operations run more efficiently, improve services for people, and reduce operational costs. 

For whom?

TPM students and students with closely adjacent backgrounds. The students need to have some basic background knowledge in computer programming. 

Expected prior knowledge

Basic programming knowledge is required to follow this specialization. Please also check the requirements for each course before starting this specialization

What will you learn?

This proposal considers AI as an inseparable element of the society. For AI to support humanity, human values should be central in the development of AI systems. As such, from the “comprehensive engineering” perspective, TPM intends to incorporate AI as an inseparable element of the society in research and in education. This implies “studying AI in society” as well as “using AI to understand society”. At present, TPM students still lack this understanding of AI as an element of socio-technical systems. They are thus not prepared to address the challenges and questions that AI will pose to them in their future careers. To fill this gap, the present MSc proposal has been developed especially for TPM students and students with closely adjacent backgrounds.

This specialization has two AI pillars:

  1. Studying the role of AI in society 
    • Ethical consideration of AI
    • Societal and governance consideration of AI  
  2. Using AI to understand society
    • Data science and Machine learning for socio-technical systems
    • Modelling and Simulation as AI tools to study socio-technical systems

Job Specialisation

This specialization capacitates professionals to use and develop AI systems and deal with societal and ethical dilemmas associated with AI systems. It provides students with state of the art knowledge on data science, machine learning, simulation and modelling, and ethics and governance. 

Education methods

Written exams and assignments.

Course overview

MANDATORY CoSEM & EPA

MANDATORY MOT

ELECTIVES

Additional information

For other courses related to AI from other faculties, please have a look at the TPM AI lab website. Other courses from other faculties can replace the courses within this specialisation upon consultation with the specialization coordinator. 

Register for this elective

Please fill in your application in My Study Planning and enroll this elective package in Brightspace. 

Contact details

In case of questions, please contact the coordinator Amineh Ghorbani.