Study location	Sweden, Jönköping
Academic field	Engineering (JACS H000)
Type	Master courses, full-time
Nominal duration	2 years
Study language	English
Awards	MSc
Course code	HJ-MU126

Entry qualification

Undergraduate diploma (or higher) The applicant must hold the minimum of a bachelor’s degree (i.e the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits in computer engineering, electrical engineering (with relevant courses in computer engineering), or equivalent. The bachelor’s degree should comprise a minimum of 15 credits in mathematics. The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. Further guidelines of documents requirements will be sent to your e-mail after the application has been accepted.

Language requirements	English Accepted proof of proficiency: FCE or CAE, IELTS 6+, TOEFL 79+ or CAE result B2 TOEFL 79 (Internet based), with no less than 17 in written part IELTS – no part less than 5.0 Students who have studied the Bachelor’s degree in English requires a certificate of English proficiency from the university.

Other requirements	A motivation letter must be added to your application. Motivation letter should be no longer than 1000 words. Work experience that relates to programme considered an asset.

More information	ju.se/..ter-programmes/ai-engineering.html

Overview

Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.

Career opportunities

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.