AI Engineering Postgraduate Programme By Jönköping University |TopUniversities
Main Subject Area

Engineering - Electrical and ElectronicMain Subject Area

Programme overview

Main Subject

Engineering - Electrical and Electronic

Degree

MSc

Study Level

Masters

Study Mode

On Campus

In this programme, students will learn the theory and practical application of state-of-the-art data-driven AI
systems. The programme features advanced level courses in AI, data science, and machine learning. Master’s thesis projects are conducted within the scope of ongoing research projects led by faculty from the Jönköping AI Laboratory. A majority of thesis projects are conducted in close collaboration with partners from the private or public sector.


The career opportunities are both excellent and diverse for AI Engineering graduates. For academically inclined students who wish to pursue a career in higher education, it is possible to apply for PhD student positions in computer science after completion of the master’s education. For students who are interested in putting theory into practice, the region of Jönköping features a wealth of companies and governmental agencies looking for AI and machine learning competence.


Artificial Intelligence (AI) is often described as the ultimate challenge, sometimes it is even called the manifest destiny of computer science. Human-level machine intelligence is still in the future but applications of deep learning and edge computing are currently transforming both industry and society.


Jönköping University is establishing a strong research group in AI, which will ensure that the program is grounded in state-of-the-art research.


The School of Engineering, Jönköping University, is a member of the prestigious collaborative between leading engineering schools worldwide - the CDIO Initiative™. The CDIO Initiative is an innovative educational framework to conceive and develop a new vision of engineering education and for producing the next generation of engineers.

Programme overview

Main Subject

Engineering - Electrical and Electronic

Degree

MSc

Study Level

Masters

Study Mode

On Campus

In this programme, students will learn the theory and practical application of state-of-the-art data-driven AI
systems. The programme features advanced level courses in AI, data science, and machine learning. Master’s thesis projects are conducted within the scope of ongoing research projects led by faculty from the Jönköping AI Laboratory. A majority of thesis projects are conducted in close collaboration with partners from the private or public sector.


The career opportunities are both excellent and diverse for AI Engineering graduates. For academically inclined students who wish to pursue a career in higher education, it is possible to apply for PhD student positions in computer science after completion of the master’s education. For students who are interested in putting theory into practice, the region of Jönköping features a wealth of companies and governmental agencies looking for AI and machine learning competence.


Artificial Intelligence (AI) is often described as the ultimate challenge, sometimes it is even called the manifest destiny of computer science. Human-level machine intelligence is still in the future but applications of deep learning and edge computing are currently transforming both industry and society.


Jönköping University is establishing a strong research group in AI, which will ensure that the program is grounded in state-of-the-art research.


The School of Engineering, Jönköping University, is a member of the prestigious collaborative between leading engineering schools worldwide - the CDIO Initiative™. The CDIO Initiative is an innovative educational framework to conceive and develop a new vision of engineering education and for producing the next generation of engineers.

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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