Data-Centric Engineering

University
LUT University
City, country
Lappeenranta, Finland
Duration
2 years
Specialties
Computer Sciences, Mathematics, Statistics
Price
Free
Study language
English (ENG)
Degree
Master
Study start
2025-08-25
Deadline
2026-01-15
About
student_university_program_entryQualification_title
Carrer

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.

Important requirements

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

 

Practical examples of our graduates' careers include 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.