Study field
Technology
Area of study
Computational engineering
Degree
Bachelor of Science in Technology + Master of Science in Technology
Credits
180 (bachelor's) + 120 (master's) ECTS credits
Duration
3 + 2 years (3 years of bachelor's studies + 2 years of master's studies)
Language
English
Study type
Degree studies
Form of study
Contact teaching
Location
Lappeenranta
Application period
1 September 2026–30 April 2027 at 15:00 (UTC+3)
Fees for non-EU/EEA students
Application fee: EUR 100.

Tuition fee: EUR 12,000/academic year. An early bird discount of EUR 2,000 is available for the first year.

No fees for EU/EEA students.
Additional info
Studies start in autumn 2027.
left
right

Why study Computational Science and Artificial Intelligence?

left

Real-world challenges in science and engineering require a multidisciplinary approach combining mathematical modelling, algorithms and data. This need for a diverse skill set is particularly relevant for today's grand challenges such as climate change or artificial intelligence. Tomorrow, our world will be even more data-driven, with a constant flow of information being generated and analysed.

right

The Bachelor’s Programme in Computational Science and Artificial Intelligence blends studies in mathematics and computer science, providing students with the essential skills to become future computational experts.

How to apply?

left

Apply to the programme through rolling admission: complete the online application form and submit required documents during the admission period.

If you meet all the requirements, you will receive admission without any competition, as long as there are places available. 

If you have any questions about applying, please contact [email protected].

  1. Check the admission requirements
  2. Prepare your documents
  3. Send out your online application
right

Degree structure and studies

left
right

The Bachelor's Programme in Energy Technology leads to the degree of Bachelor of Science in Technology, B.Sc. (Tech.), which is 180 ECTS credits.

Intended learning outcomes and programme content in the current curriculum

What will you learn in the programme?

left

The bachelor's programme equips you with skills to tackle real-world problems and develop effective solutions using algorithms. Additionally, you will learn to extract valuable insights and knowledge from the vast sea of data. By understanding how to collect, analyse and interpret data, we can make informed decisions, optimise processes, and drive innovation in various sectors.
 
During your studies, you will build a solid foundation in mathematics, computer science, and natural sciences. You will explore fascinating areas such as statistical analysis, machine learning, and artificial intelligence, delving into the frontiers of modern technology and expanding your knowledge in these cutting-edge fields.

right

Programme contents

  • comprehensive mathematics and natural science knowledge 
  • principal concepts of artificial intelligence and machine learning
  • matrix calculus, optimisation and partial differential equations
  • information technology
  • mathematical modeling 
  • computing tools
  • statistical data analysis

How will you learn in the programme?

left

Most of your studies take place on campus during weekdays. Occasional online courses, as well as courses combining online and on-campus teaching, provide variety and flexibility to your study methods and schedule.

Your studies include

  • theoretical lectures
  • exercise sessions
  • company visits
  • projects
  • individual and group assignments
  • extensive laboratory work
right

Video: Bachelor's Programme in Computational Science and Artificial Intelligence. If you can't see the video, try watching it on YouTube or changing your cookie settings.

What you can do with your degree?

left

Graduating from our bachelor’s programme opens up exciting career opportunities in various fields. With a strong foundation in mathematics, computer science and data analysis, you will be well-prepared to succeed in a wide range of industries.

The demand for professionals with data-centric engineering skills is rapidly growing, and your skills will make you highly sought-after in fields such as engineering, finance, health care, or consulting.

These industries rely on data-driven decision-making, and your expertise in data-centric engineering will be invaluable.

right

Job options for graduates

  • data analyst
  • data scientist
  • machine learning engineer
  • AI specialist

Continue your studies in a master's programme

After completing a bachelor's degree in computational engineering and artificial intelligence, you can continue your studies in one of LUT’s master's programmes in data engineering. Each programme is 120 ECTS credits, and you will graduate within two academic years.

One programme is offered in English:

Quality of education

We are committed to providing high-quality education. LUT University is one of the world’s top 300 universities in the Times Higher Education (THE) World University Rankings, which is one of the most highly regarded university ranking systems.

See also