bachelorTechnology

Computer Science

Computer Science at South Korean universities places graduates at the heart of Asia's technology revolution. Korea's thr…

4 years

Find My Best-Fit University

Is This Course Right For You?

Good Fit

✔Strong in maths and logical reasoning
✔Enjoy problem-solving and building things
✔Curious about how technology works
✔Comfortable with abstract thinking

Consider Carefully

⚠Requires consistent self-study and practice
⚠Fast-changing field — continuous learning is essential
⚠Project deadlines can be demanding

Not Ideal For

✗Prefer non-technical or purely creative subjects
✗Dislike working with code or systems
✗Looking for a purely people-facing career

Computer Science Career Outcomes

What can you do with a Computer Science degree?

Job Roles

Software Engineer

Data Scientist

AI/ML Engineer

Backend Developer

Systems Architect

Game Developer

What You Will Study in Computer Science

Core topics and skills covered in this programme.

Year 1 — Computing Fundamentals

5 topics

Introduction to Programming (Python)

Variables, control flow, functions, lists, and object-oriented programming basics using Python.

Discrete Mathematics

Logic, set theory, graph theory, combinatorics, and proof techniques for computer scientists.

Computer Organisation & Architecture

Binary arithmetic, CPU design, memory hierarchy, and assembly language fundamentals.

Data Structures & Algorithms I

Arrays, linked lists, stacks, queues, sorting algorithms, and Big-O complexity analysis.

Web Development Fundamentals

HTML5, CSS3, JavaScript basics, and building static web pages.

Year 2 — Core Computer Science

6 topics

Data Structures & Algorithms II

Trees, heaps, hash tables, graphs, dynamic programming, and advanced algorithm design.

Object-Oriented Programming (Java/C++)

Inheritance, polymorphism, design patterns, and software engineering principles.

Operating Systems

Process management, memory management, file systems, concurrency, and deadlock.

Database Systems

Relational algebra, SQL, normalisation, indexing, and transaction management.

Computer Networks

TCP/IP stack, HTTP, DNS, routing protocols, and network security fundamentals.

Probability & Statistics for CS

Random variables, distributions, Bayesian reasoning, and statistical inference.

Year 3 — Advanced & Specialisation

5 topics

Artificial Intelligence & Machine Learning

Supervised/unsupervised learning, neural networks, model evaluation, and scikit-learn.

Software Engineering

Agile/Scrum, requirements engineering, UML, testing strategies, and CI/CD pipelines.

Cloud Computing

AWS/Azure/GCP services, containerisation (Docker, Kubernetes), and serverless architecture.

Cybersecurity Fundamentals

Cryptography, authentication, common vulnerabilities (OWASP Top 10), and penetration testing basics.

Capstone Project

A full-stack software project developed in a team, from requirements to deployment, with industry mentorship.

Best Universities for Computer Science

8 universities offering this programme — ranked by QS World University Rankings.

Showing 6 of 8 universities. View all universities →

Computer Science Cost & Duration

Duration

4 years

Typical full-time study duration

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Entry Requirements

Strong results in Mathematics. IELTS 6.0 or TOEFL 80 for English-medium programmes. Programming experience (any language) is advantageous.

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Course Details

Levelbachelor
Duration4 years
FieldTechnology