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 Data-Centric Engineering programme from LUT University is designed for students with a BSc degree in mathematics, applied mathematics, statistics, computer science, artificial intelligence, or the like.
In this programme, 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.
Data-centric engineering provides a solid stepping-stone to a career in academia, government, industry, or finance, as well as entrepreneurial skills for establishing a start-up company.
The skills and competencies gained in the programme prepare you for continual learning and for the ongoing transition from software-intensive to data-intensive engineering work. Practical examples of our graduates' careers include the following:
- various positions in artificial intelligence companies; for example, developing computer vision and virtual reality
- enhancing the capability of medical imaging in medical engineering companies
- working on modelling and simulation in industry R&D
- different positions at universities and research institutes at all career levels from junior researchers to professors.
Get more detailsVisit official programme website
- In advanced specialisation studies, 53 ECTS credits, you will focus on either Applied Mathematics or Computer Vision and Pattern Recognition.
- In Applied Mathematics, you will study modelling and simulation systems, inverse problems, intelligent data analysis and uncertainty quantification, computational fluid dynamics.
- In Computer Vision and Pattern Recognition, topics include computer vision and machine vision, pattern recognition and data analytics based on machine learning, digital imaging, image processing and analysis.
- 24 months
Start dates & application deadlines
- Apply before
- Rolling admission: 31 May
- Regular admission: 19 January
DisciplinesGeneral Engineering & Technology Data Science & Big Data View 12 other Masters in Data Science & Big Data in Finland
You are eligible to apply to technology programmes with one of the following degrees:
- Bachelor of Science in Technology OR closely related to Technology - Completed in a University - All countries
- Other degree mentioned in a programme-specific eligibility requirements completed worldwide (excluding Finland)
To possibly get admitted,
- you must fulfill the programme-specific requirements.
- gain a minimum of 50% of the given points in the interview (regarding all the programmes excluding Electrical Engineering).
International13500 EUR/yearTuition FeeBased on the tuition of 13500 EUR per year during 24 months.
EU/EEAFreeTuition FeeBased on the tuition of 0 EUR per year during 24 months.
Living costs for Lappeenranta
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 3 months
Check the official programme website for potential updates.