Physics of Technology

Fundamental sciences, innovative engineering solutions and artificial intelligence are not just empty buzzwords. As you study, you will learn how to use artificial intelligence to solve a variety of engineering problems – from agriculture, industrial production to high technology and basic research. Micro- and nanoelectronics, nanotechnologies, advanced materials, photonics and advanced manufacturing technologies – these are things that are now emerging all around the world!

Don’t be knocked down by the wave of technology, learn to surf it!

Note. The program will be implemented if it is accredited by the Center for Study Quality and Assessment.

Entry requirements
Location Kaunas
Faculty of Mathematics and Natural Sciences
Cycle First cycle
Field Physics
Language Lithuanian
Study mode and duration Full-time studies - 4 y. (Day-time), Part-time studies - 6 y. (Day-time)
Degree awarded Bachelor of Physical Sciences

Guest lecturers

Artūras Vailionis

Professor of Stanford University (USA)

Audrius Alkauskas

Senior Researcher at Centre of Physical Sciences and Technologies
 

Values

Why Physics of Technology?

Three important fields

At the crossroad of physical and technological sciences world-changing innovations are being born, and synergy of these fields ensure progress in areas such as energy and the sustainable environment, health technologies and biotechnology, advanced manufacturing, modern electronic technologies and much more. During these promising undergraduate studies, you will delve into physics, machine learning and artificial intelligence, and electronics engineering in parallel. So after graduation you will not only become a physicist, but you will be able to install sensor systems, collect and analyze large data flows, apply artificial intelligence.

Why @KTU?

Practice in modern laboratories

Variety of lab and practice options in KTU laboratories, Microsystems and Nanotechnology Research Centre, Lithuanian Energy institute, Microsystems and Nanotechnology Institute in Portugal, and numerous companies.

Why @KTU?

Visiting professors and experts from industry

Visiting professors from Stanford University,  University of Southern Denmark, Tokyo Institute of Technology and experts from industry organise international seminars and workshops to be in touch with global scientific solutions.

Why @KTU?

Opportunity of elective courses abroad

The programme is characterised by a large number of electives or minor studies options. This allows to specialise in the chosen field by taking elective courses at KTU or abroad.

Entry requirements

Career

Your knowledge will allow you to:

  • Apply the principles of physics and artificial intelligence in various types of business enterprises or public institutions.
  • Perform and analyze qualitative and quantitative physical examinations.
  • Anticipate high-tech development trends.
  • Carry out an analysis of the scientific and technical literature in search of the best solution.
  • Mathematically process, analyze and summarize measurement results.
  • Create a high-tech business.

 

 

You may become

With deep knowledge of physics and the ability to apply it together with competencies in measurement engineering and machine learning, graduates will be able to work in consulting and expert work in manufacturing and other companies, science and consulting scientific support centers, radiation safety, state security services, environmental and environmental agencies, environmental protection laboratories using modern measuring equipment, customs, publishing, forensic laboratories, pharmaceutical and medical companies or companies manufacturing medical products, patent offices.

With deep knowledge of physics and the ability to apply it together with competencies in measurement engineering and machine learning, graduates will be able to work in production-technological work, design and implement new advanced technologies, manage production in physical technology companies.

With deep knowledge of physics and the ability to apply it in conjunction with measurement engineering and machine learning competencies, graduates will be able to work as managers in  manufacturing companies, high-tech companies, organize and manage technology uptake and commercialization processes.

With in-depth knowledge of physics and the ability to apply them in conjunction with measurement engineering and machine learning competencies, graduates will be able to work as junior researchers in science and consulting research support centers, environmental laboratories using modern measurement equipment, customs, publishing, forensic laboratories, research institutes and universities.

With a deep knowledge of physics and the ability to apply it along with competencies in measurement engineering and machine learning, graduates will be able to organize a high-tech business.


Entry requirements

 

Minimum requirements

IELTS ≥5.5, TOEFL ≥75, CEFR ≥B2, or equivalent

High school certificate

Maximum 3 years after high school graduation is eligible.

Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

The entry qualification documents are accepted in the following languages: English / Russian.

The documents must be legalised (Apostille) by the Ministry of Foreign Affairs of the country where the documents were issued. This requirement does not apply for the documents issued in the EU and Belarus, Ukraine.

IELTS ≥5.5, TOEFL ≥75, CEFR ≥B2, or equivalent

High school certificate

Minimum average grade (CGPA) > 60 % in each entry subject.

 

Score structure

 

Tuition fee

 

Financial support

 

 

 


Entry requirements