bachelorTechnology

Computer Science

Computer Science programmes in Singapore position graduates at the centre of Southeast Asia's digital economy. Singapore…

3 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 Developer

Data Analyst

Cybersecurity Analyst

Web Developer

Systems Administrator

IT Consultant

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

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

Computer Science Cost & Duration

Duration

3 years

Typical full-time study duration

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Entry Requirements

Minimum 5 credits in SPM including Mathematics. IELTS 6.0 or equivalent. Programming experience is advantageous but not required.

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Course Details

Levelbachelor
Duration3 years
FieldTechnology