About the programmme


Mode of study and length of the programme: full-time (4 years)

Length of the degree programme: 240 ECTS

Language(s) of instruction: Lithuanian/ English

Degree and/or Qualification  awarded: Bachelor's Degree in Computing


Bioinformatics

The study programme provides basic knowledge and skills in mathematics, computer science and natural sciences, enabling graduates to work in the field of information technology, especially in the institutes and enterprises specializing in analysis and application of biological data and biotechnologies. The study programme is conducted with the participation of teachers and researchers of Faculties of Mathematics and Informatics, Life Sciences Center and research institutes.

It's worth studying because:

  • The programme consists of combination of course units in mathematics, computer science and life sciences, developing skills to apply mathematical methods and information technologies for exploration of biological data;
  • the program provides the skills of how to use different mathematical models and programming in various languages;
  • practical data analysis is a big part of this programme;
  • the students are given the opportunity to have a practical experience at the companies, science labs or at the state organizations in Lithuania or abroad during study period.

Career opportunities:

The graduates will be able to work in the enterprises, research laboratories and centres, were analysis of the data of biological origin is required, will be able to use, modify and create the bioinformatics software. Having the basic knowledge and skills in Computer Science they also will be able to work in different  IT enterprises and organisations developing complex software products.

International studies and internship opportunities:

Vilnius University encourages the use of various opportunities for studying at foreign universities, allowing students to gain intercultural experience, develop and evaluate their competences, establish contacts abroad, and open wider career opportunities.

Courses

Content of the study programme

Course title

Credits

Course title

Credits

1 SEMESTER

30.0

6 SEMESTER

30.0

Compulsary Modules

 

Compulsary Modules

 

Mathematical Analysis I

5.0

Bioinformatics III

5.0

Linear Algebra and Geometry

5.0

Operating Systems

5.0

Physical Chemistry

5.0

Neuroinformatics

5.0

Basics of Programming and IT

5.0

Biometrics

5.0

General Biology

5.0

Course work

5.0

Foreign Language I

5.0

Optional Modules

5.0

2 SEMESTER

30.0

Elective course units from the list:

 

Compulsary Modules

 

Monte Carlo Method

5.0

Mathematical Analysis II

5.0

Parallel Computing

5.0

Discrete Structures

5.0

Human Computer Interaction

5.0

Biochemistry

5.0

Web Services

5.0

Object Programming C++

5.0

Geometry of Biomolecules

5.0

Foreign Language II

5.0

 

 

GUS*

5.0

7 SEMESTER

 

3 SEMESTER

30.0

Compulsary Modules

25

Compulsary Modules

 

Software Engineering

5.0

Genetics

5.0

Course project

5.0

Discrete Optimization

5.0

Bioinformatics IV

5.0

Object-oriented Programming

5.0

Information and coding

5.0

Molecular Biology

5.0

Data mining

5.0

Computer architecture

5.0

Optional Modules

 

Optional Modules

 

Elective course units from the list:

 

Elective course units from the list:

 

Error-Correcting Codes

5.0

Informatics Law

5.0

Chaos theory and fractals

5.0

Graph theory

5.0

Algorithms for computer games

5.0

Logic Programming

5.0

UML and MDA introduction

5.0

Computer Graphics Algorithms and Technologies

5.0

IT project management

5.0

4 SEMESTRAS

30.0

8 SEMESTER

30.0

Compulsary Modules

 

Compulsary modules

 

Probability Theory and Mathematical Statistics

5.0

Professional Internship

15.0

System Biology

5.0

Bachelor's Thesis

15.0

Bioinformatics I

5.0

 

 

Data structures and algorithms

5.0

 

 

Optional course units

5.0

 

 

GUS*

5.0

 

 

5 SEMESTER

30.0

 

 

Compulsary Modules

 

 

 

Bioinformatics II

5.0

 

 

Methods of computer program construction

5.0

 

 

Database management systems

5.0

 

 

Internet Technologies

5.0

 

 

Optional course units

5.0

 

 

GUS*

5.0

 

 

Optional Modules      

Elective course units from the list:

 

 

 

Informatics Law

5.0

 

 

Cryptography and Information Security

5.0

 

 

Graph theory

5.0

 

 

Logic Programming

5.0

 

 

Computer Graphics algorithms and technologies

5.0

 

 

OS UNIX Programming

5.0

 

 


GUS* - General University Studies. Developed competencies depend on the subject chosen by a student.

Expected Learning Outcomes:

Having completed Bioinformatics programme, a graduate has acquired sufficient knowledge in the fields of informatics, biochemistry, genetics and computational biology, is capable to clarify application area processes and to create and analyse their models, he /she gets professional competence to carry out information technology complex systems development work. A holder of a Bachelor’s degree in Bioinformatics is able to work as IT analyst of biological systems (genes, proteins, populations), programmer, learn new methods and technologies and apply them in practice.

Contacts

Do you have any questions? Contact:

  • Email:
  • Phone: +370 5 219 3055
  • Address: Naugarduko str. 24, room 106, Vilnius, Lithuania