Learning outcomes

In the Masters's Programme in Data-Centric Engineering, you will study at the intersection of applied mathematics, computational statistics and artificial intelligence.

These domains are changing all areas of work, including traditional industrial work, white-collar jobs, and health care. You will obtain a solid basis for research, development, innovation and entrepreneurship.

In this programme, you will learn about computational techniques and artificial intelligence for analysing and modelling data.

As a graduate, you will have:

knowledge about computer science and engineering, machine learning, applied mathematics, and computational statistics;

skills in computational techniques, mathematical modelling, and computer science for analysing large datasets and methods for designing complex engineering systems. This includes uncertainty quantification and risk analysis, pattern recognition, and understanding and modelling interconnections of large-scale systems;

competences in the theory and practice of data-centric engineering that will enable you to work on multidisciplinary and interdisciplinary projects on, for example, satellite remote sensing or medical imaging;

a professional network including connections to international research groups at leading universities, large industrial and financial companies, and start-ups.

Data-Centric Engineering

Degree
Master of Science in Technology

Credits
120 ECTS credits

Duration
2 years

Start date
August 2021

Language
English

Tuition fees and scholarships
EUR 10 000 Non-EU/EEA students
Scholarships available

Academic unit
LUT School of Engineering Science

Campus
Lappeenranta

Regular admission
1 December 2020 − 20 January 2021 at 15:00 (UTC+2)

Rolling admission
1 November 2020 − 31 May 2021 at 15:00 (UTC+2)

Admissions Services