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Information System Engineering

Language of instruction

lithuanian

Qualification degree and (or) qualification to be awarded

Bachelor of Computing

Place of delivery

Vilnius, Universiteto g. 3, LT-01131

Institution that has carried out assessment

No data

Institution that has performed accreditation, accreditation term

Studijų kokybės vertinimo centras, 7/1/2022

Data provided or updated (date)

4/5/2017

Order on accreditation

SV6-11
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Summary of the Profile

General Description:
Objective(s) of a study programme:
To prepare highly qualified professionals who are able to identify the objectives of developing and updating information systems, to design and create modern information systems, to apply the acquired competencies of decision analysis, usage and integration of innovative technologies, research performing and data analytics. The acquired knowledge, skills, and competencies will allow easy adapting to the continuous technological progress, to be successfully employed, to pursue a professional career, and to continue their studies at Master level.
Learning outcomes:
Ability to perform tasks independently and in a team, will have knowledge about business and project administration basics.

Ability to communicate with non-field experts, engineering and technology representatives in state and foreign languages.

Ability to understand decision impact, comply with the ethical and professional standards.

Ability to use groupware system solutions.

Ability to solve domain problems, organize and schedule activities.

Ability to conduct literature search and analysis, acquired knowledge apply in practical activities.

Ability to explain the fundamental concepts of mathematics and informatics engineering, will understand application domain.

Ability to analyse the problem domain, identify information systems development and update needs, prepare documentation.

Ability to select and apply appropriate information systems development methodology.

Ability to analyse and develop domain models.

Ability to design data structures, databases, execute management and improvement tasks.

Ability to design and implement information systems solutions, select optimal implementation tools.

Ability to choose and apply software testing techniques and methods.

Ability to apply software re-engineering methods.

Ability to select and apply appropriate systems integration methods and technologies.

Ability to adapt machine virtualization and cloud computing technologies.

Ability to plan and conduct experiments, evaluate results, and draw conclusions.

Ability to conduct big-data analysis, solve data mining tasks.
Activities of teaching and learning:
Lectures, teaching problem solving, case based study and analysis, seminars, discussions, tutorials, laboratory works, individual and team work, practical tasks, literature search and analysis, team projects, practice, thesis preparation and results public presentation.
Methods of assessment of learning achievements:
Methods of assessment are as follows: laboratory and individual works, tests, projects, team works, written works, practice reports, theses, participation in lectures and discussions, presentations, reports, reviews.
Exam is last assessment method for each subject (module). Exams composed from questions and tasks of open, semi-open or close type. Students defend theses and reports of projects and practice works in committees.
Framework:
Study subjects (modules), practical training:
Main study subjects (165 credits):
• Mathematical subjects – 25 credits;
• Language subjects – 10 credits;
• Subjects on informatics – 15 credits;
• Subjects on informatics engineering – 75 credits
• Practice work (informatics engineering) – 25 credits;
• Thesis (informatics engineering) – 15 credits;
Arbitrary study subjects (60 credits):
• Subjects to deepen informatics engineering knowledge – 50 credits;
• Subject to extend one’s knowledge – 10 credits;
General university studies – 15 credits.
Specialisations:
-
Optional courses:
Students will have opportunity to choose arbitrary study subjects from tree groups as follows:
(A) business and management (choosing in 4th semester; the group consist of 5 subjects),
(B) databases (choosing in 3rd semester; the group consist of 3 subjects),
(C) data analytics (choosing in 5th, 6th and 7th semesters; the group consist of 6 subjects),
(D) system engineering and programing (choosing in 5th, 6th and 7th semesters; the group consist of 6 subjects).

This arbitrary study subjects grouping allows to students to gain competences that are obligatory for information systems design and development specialist.
In 2nd, 4th and 6th semester, students will be able to choose general university studies subjects (in total 15 credits).
Distinctive features of a study programme:
A part of studies can be carried out in English.
Access to professional activity or further study:
Access to professional activity:
The graduates of this program will have all the necessary knowledge and practical skills in the fields of software design, development, and testing, big data storage, analysis, and systematization, as well as process automation. This knowledge and skills will enable graduates to begin their career as programmers, testers, data analysts in national and international companies of various sizes and public sector. The acquired competence will allow pursuing the career heights. After gaining professional experience, the graduates will be eligible for various levels of experts and management positions, to implement their business ideas. The graduates, who will wish to work in the academic field, will have the opportunity to deepen their knowledge at Master studies of technology and fundamental sciences, and after then - at doctoral studies, to engage in research work, and to participate in various academic projects.
Access to further study:
After accomplishment of the study program, the graduates will be able to continue their studies of informatics engineering at Master level in Lithuanian and foreign universities.