Lappeenranta, Finland
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 13,500 / per year **
STUDY FORMAT
On-Campus
* regular 16 December 2024–22 January 2025
** annual tuition for non-EU/EEA students
Key Summary
Introduction
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 program 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 modeling and analysis methods, such as deep neural networks, profoundly and apply them to problems with societal impact. You will specialize in either Applied Mathematics or Computer Vision and Pattern Recognition.
The program 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 the Erasmus exchange and double degree programs with partner universities. In double degree programs, you will get MSc degrees from both LUT and its partner university.
Gallery
Admissions
Scholarships and Funding
Early Bird discount / First academic year
When required to pay a tuition fee, you are offered
- an Early Bird Discount of EUR 6 000
for the first academic year if confirming your place and paying the rest of the tuition fee of EUR 7 500 within 21 days from the date of having received your Certificate of Admission.
LUT Scholarship / Second academic year
When required to pay a tuition fee, you are offered
- LUT Scholarship of EUR 6 000
for the second academic year if having completed a minimum of 60 ECTS credits of studies included in the personal study plan during the first academic year.
With LUT Scholarship the tuition fee is EUR 7 500 for the second academic year.
The required ECTS credits will be automatically checked for and they must be included on your Transcript of Records by the end of the first academic year i.e. by 31 July.
Curriculum
he Master's Program in Data-Centric Engineering is a two-year program. It leads to the degree of Master of Science in Technology, M.Sc. (Tech.), which is 120 ECTS credits.
The program includes an advanced specialization, minor and elective studies as well as a Master's thesis.
Double degree study opportunity for LUT degree students
The program also offers a possibility for double degree studies. Students admitted to the Master's program in Data-Centric Engineering at LUT may apply to the double degree program organized in cooperation with the following program's partner universities: the University of Lugano (Switzerland), Brno University of Technology (Czech Republic) and Polytechnic University of Milan (Italy).
Advanced specialization studies, 53 ECTS credits
You will focus on either Applied Mathematics or Computer Vision and Pattern Recognition.
In Applied Mathematics, you will study modeling and simulation systems, inverse problems, intelligent data analysis, uncertainty quantification, and 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.
Minor studies, 20 ECTS credits
You can choose from technical physics, business analytics, software engineering and digital transformation, embedded systems, and communications.
Elective studies
You can choose from any discipline at LUT to complement your studies.
Master's thesis, 30 ECTS credits
An advanced research project during the program's fourth semester. The Master's thesis is a part of the advanced specialization studies and requires approximately six months of full-time work.
Program Outcome
In the Master's Program 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 program, you will learn about computational techniques and artificial intelligence for analyzing and modeling 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 analyzing 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.
Program Tuition Fee
Career Opportunities
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 program 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 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 modeling and simulation in industry R&D, different positions at universities and research institutes at all career levels from junior researchers to professors.
Lucrative start-up companies founded by our alumni contribute to sawmill industry digitalization, computer vision for the industry, and environmental monitoring.