Studyportals
M.Sc. On Campus

Data-Centric Engineering

LUT University

24 months
Duration
13500 EUR/year
Free
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

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 Data-Centric Engineering programme from LUT University is based on blending applied mathematics with computer science and engineering.  

Overview

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.

Career prospects

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.

Programme Structure

Courses include:

  • 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.

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

More details
  • Rolling admission: 31 May
  • Regular admission: 19 January 

Credits

120 ECTS

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Required

Other requirements

General requirements

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).

Tuition Fee

To alway see correct tuition fees
  • International

    13500 EUR/year
    Tuition Fee
    Based on the tuition of 13500 EUR per year during 24 months.
  • EU/EEA

    Free
    Tuition Fee
    Based on the tuition of 0 EUR per year during 24 months.

Living costs for Lappeenranta

700 - 1100 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

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Data-Centric Engineering
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