Data-Centric Engineering
To develop innovative solutions to the world's most challenging problems, it is increasingly important to properly understand data and modern information processing methods.
The Master's Programme in Data-Centric Engineering is based on blending applied mathematics with computer science and engineering. During your studies, you will learn about artificial intelligence and machine learning and how mathematics and statistics form their basis. This will enable you to understand data and modern modelling and analysis methods, such as deep neural networks, profoundly and apply them to problems with societal impact. You will specialise in either Applied Mathematics, or Computer Vision and Pattern Recognition.
The programme is designed for students with a BSc degree in mathematics, applied mathematics, statistics, computer science, artificial intelligence, or the like.
During your studies, you will have extensive possibilities for international experiences, such as Erasmus exchange and double degree programmes with partner universities. In double degree programmes, you will get MSc degrees from both LUT and its partner university.
- 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.
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.
You must complete one of the following degrees:
- Bachelor of Science in Technology OR closely related to Technology
Completed in a University
- Bachelor of Engineering
Completed in a University of Applied Sciences
AND you must have completed
a minimum of 60 ECTS credits of studies in Mathematics or Statistics if applying for the specialisation in Applied Mathematics
a minimum of 60 ECTS credits of studies in Information Technology or Computer Science if applying for the specialisation in Computer Vision and Pattern Recognition
- a minimum of 60 ECTS credits of studies in Mathematics, Statistics or Computer Science if applying for the specialisation in Data Science and Artificial Intelligence
