- Book a free counseling
- Student Stories
- About us
The current decade will see major advances in data-driven engineering and sciences, impacting all aspects of science, engineering, industry, and society via automation, artificial intelligence, robotisation and digital platforms.
To develop innovative solutions to the world’s most challenging problems, it will be increasingly important to understand data and modern information processing methods properly.
The Master’s degree program in Data-Centric Engineering at LUT University 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.
In this program, you will specialize 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.
In the master’s degree 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:
The 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 core, advanced specialization and elective studies.
Core studies will provide a solid background in computational techniques and the ability to apply the methods to different scientific, industrial and financial problems, such as climate change studies, vision-based quality control and process engineering.
In advanced specialization studies, you will concentrate on:
In applied mathematics, you will study numerical analysis, statistical methods, inverse problems, and modeling and simulation. In computer vision and pattern recognition, topics include image processing/analysis and deep learning with applications in, for example, medical engineering and industrial machine vision.
Elective studies can be chosen from any discipline at LUT to complement your studies.
The Master’s thesis, 30 ECTS credits, is an advanced research project completed during the fourth semester. The Master’s thesis requires approximately six months of full-time work.
Students from partner universities are able to study as double degree students at LUT. Students admitted to the double degree program receive a degree certificate from two universities after they have fulfilled the degree requirements of both universities.
The program’s double degree partner universities are:
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 the following:
Lucrative start-up companies founded by our alumni contribute to
Further information about the tuition fee and available scholarships for the program can found on the university page.