Kyrgyz National Technical University

Bachelor of Science in Computer Science

Bachelor of Science in Computer Science provides systematic undergraduate preparation in Computer Science. This field studies the theoretical foundations of computing, software construction, algorithm design, and the operation of computing platforms.

Bachelor of Science in Computer Science

Bachelor of Science in Computer Science

Bachelor of Science in Computer Science provides systematic undergraduate preparation in Computer Science. This field studies the theoretical foundations of computing, software construction, algorithm design, and the operation of computing platforms.

LevelBachelor's Degree (4 Years)
Program FieldComputer Science
Award TitleBachelor of Science in Computer Science

Program Positioning

The bachelor's program provides full undergraduate preparation with emphasis on professional theory, laboratory practice, integrated design, and standard communication. This field studies the theoretical foundations of computing, software construction, algorithm design, and the operation of computing platforms.

Computing Theory and Algorithms

Study discrete structures, data structures, algorithm analysis, computational complexity, and programming methods.

Systems and Platforms

Build understanding of operating systems, computer architecture, databases, networks, and distributed systems.

Software Development

Practice requirements analysis, modular design, implementation, testing, verification, and technical documentation.

Data and Intelligent Computing Foundations

Develop foundations in data processing, statistical modeling, machine learning, and analysis of computing applications.

Learning Objectives

Build a strong foundation in computer science theory.
Develop the ability to design, implement, and evaluate software systems.
Communicate and analyze problems clearly in technical projects.

Study and Completion Requirements

  1. Complete general education, major core courses, electives, and practical learning components.
  2. Develop applied capability through course design, laboratory work, case analysis, or engineering projects.
  3. Complete a capstone design, thesis, or equivalent integrated academic and practical outcome.

Learning Outcomes

Software development and systems implementation
Algorithm analysis and data processing
Preparation for advanced study or technical research and development