AI Engineering
Be part of the AI revolution and gain the skills to shape the technologies driving global change. AI is transforming industries, and society and with this program, you’ll become a in demand in the job market.
You'll explore AI’s impact through data science, machine learning; including deep learning and reinforcement learning, knowledge representation, and optimization, and build your core knowledge with courses covering AI fundamentals. The program is based on the latest research and is part of the prestigious CDIO Initiative™ for the engineers of the future.
With an international focus, all courses are taught in English, and you'll collaborate with students from around the world. Internships and thesis projects will help you build professional networks, and you'll have the opportunity to study abroad.
Upon graduation, you’ll be ready for a career in AI as a data scientist, AI engineer, or machine learning expert, and eligible to pursue PhD at JTH or other universities worldwide.
Internship
In the elective Internship placement course you can choose to do an internship at a company or another organization. The goal is to give you an understanding of future work tasks and how these are related to your education. Other elective courses will be available.
- ECTS transcript – If you are still completing your Bachelor’s degree, upload an ECTS transcript showing the subjects you have studied, your grades, and the number of credits awarded. Your Bachelor’s diploma must be uploaded later, as soon as you receive it.
- Bachelor’s diploma – If you have already graduated, upload your Bachelor’s diploma. A separate ECTS transcript is not required.
Note: Your Bachelor’s degree must be in the same or a related field as the Master’s programme you are applying for. The university will check whether you have completed enough relevant subjects and ECTS credits.
Important! View the full requirements on the university’s official website. Requirements may vary depending where you completed your bachelor education.
Note:
- Motivation Letter – A motivation letter is a required document when applying to the programmes at this university. The letter must be no longer than 1,000 words.
- Interview – You may be invited to an interview as part of the admission process.
Applicants have to prove their English language skills either by an internationally recognized language test or upon previous studies. Usually English language skills can be proved by the following documents:
- TOEFL iBT*
- IELTS Academic
- A Cambridge English qualification
- Higher education degree completed in English
- Secondary education completed in English in a country or school qualification accepted by the university
- An English subject and grade on your secondary school leaving certificate that meet the university’s requirements
- Other
Important: Accepted methods and minimum results depend on study programme and the country where you completed your education. Check the official requirements for your chosen study programme.
*Use the Kastu promo code LTU1000102 when registering for TOEFL iBT and receive a 5% discount.
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, computer science or electrical engineering (with relevant courses in computer engineering), or equivalent. The bachelor’s degree should comprise a minimum of 15 credits in mathematics
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.
