AI Engineering

Teknologie Masterexamen med huvudområdet Produktutveckling, inriktning Artificiell Intelligens, 120 hp

Studieort: Jönköping

Programstart: Hösten 2019

Till ansökan (öppnar 15 mars)

This new Master's programme focuses on the development of intelligent software products and services. Specifically, AI, machine learning, and data science are covered in detail. Applications include, but are not limited to, internet-of-things, data analytics and smart cities.

What is artificial intelligence?

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.

State-of-the-art research

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

International perspective

All courses are conducted in English and you study together with other international students. There are possibilities for you to study one semester abroad at one of our partner universities.

Elective courses

In this course you can choose to do an internship at a company or another organisation, or choose among elective courses. The purpose is to give you an understanding of future work tasks and how these are related to your education.

After graduation

With a Master’s degree in AI engineering, you will have a bright future in information technology, with a wide array of possible roles available, such as data scientist, AI engineer, software engineer, or machine learning engineer. Truly excellent students may also be offered positions as PhD-students.

Students will be equipped to work in different intelligent software products and services situations - from major organisations to micro-businesses; from large enterprise software systems to small, specialised embedded software components; from Web-facing applications to back-end data processing. 

Degree

2 years, 120 credits. Master of Science with a major in Product Development, and a specialisation in AI Engineering.

Next generation of engineers

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.

More information, see CDIO

Programmet ges vid Tekniska högskolan
Omfattning: 120 hp
Nivå: Avancerad nivå
Studietakt: Helfart
Ort: Jönköping
Studieform: Campusbaserad
Språk: Undervisningen bedrivs på engelska
Programstart: Hösten 2019
Sista anmälan: 2019-04-15
Anmälningskod: HJ-MS170
Behörighet: Examen om minst 180 hp med lägst 90 hp i huvudområdet datateknik alt. elektroteknik (med relevanta kurser inom datateknik) eller motsvarande svensk eller utländsk utbildning. Dessutom krävs 15 hp i matematik samt kunskaper i Engelska 6/Engelska B eller motsvarande.
Urval: Grupp 1: Examen om minst 180 hp. Rangordning sker efter antal avklarade poäng. Grupp 2: 150-179 hp. Rangordning sker efter antal avklarade poäng.
Examen: Teknologie Masterexamen med huvudområdet Produktutveckling, inriktning Utveckling av AI-system

Preliminary list of courses.

Year 1

Industrial Product Realisation in Collaboration 6 credits
Artificial Intelligence 7.5 credits
Mathematics for Software Engineers 6 credits
Data Science 7.5 credits
Product Development in Cross-Discipline Teams 1 3 credits
Product Development in Cross-Discipline Teams 2 6 credits
Software Product Quality Assurance 9 credits
Machine Learning 7.5 credits
Embedded and Distributed AI 7.5 credits

Year 2 *

Research Methods 7.5 credits
Safety and Security of Software Products 7.5 credits
State-of-the-Art in AI Research 7.5 credits
Final Thesis Work, Master's 30 credits

Elective Course total: 7,5 credits
Elective Course may include:
Development for Mobile, Wearable and Smart Devices 7.5 credits
Industrial Placement Course 7.5 credits
User Experience Design 7.5 credits

* Study abroad is possible during the 3rd semester.


Till ansökan (öppnar 15 mars)
  • Tekniska Högskolan i Jönköping AB





Genom att surfa vidare på JU.se godkänner du att vi använder cookies. Mer information