CSC105

BSc (Hons) Computer Science

Master the Theory. Build the Future. Code Your Career.

4 Years
Full-time
Hands-on Learning

Next Start Dates

October 2025
Apply Now

Program Gallery

Southern Atlanctic University
Digital Forensics Lab

Program Overview

Our BSc Computer Science program provides a deep and comprehensive foundation in the fundamental principles of computing. You will master the art of algorithmic thinking, software development, data structures, and system design. This rigorous program prepares you not just to use technology, but to understand its core principles and create the innovative software solutions that will define the next decade.

Why This Program?

  • Choose from specializations in AI & Machine Learning, Data Science, or Cloud Computing in your final year.
  • Build a robust portfolio through numerous individual and team-based projects, culminating in a capstone project solved for a real client.
  • Learn in our state-of-the-art computing labs with high-performance machines and dedicated servers for big data and cloud computing exercises.
  • Get career-ready with our intensive preparation for technical interviews and coding assessments used by top tech firms.

Real-World Importance

Computer scientists are the architects of the digital age.

They write the algorithms that power search engines and social media, develop the operating systems that run billions of devices, create the databases that manage global information, and pioneer the fields of artificial intelligence and machine learning.

In an increasingly digital world, their skills are critical for solving complex problems in every sector, from healthcare and finance to entertainment and environmental science, making them among the most sought-after professionals globally..

Curriculum Overview

Program Structure

70%
Core Courses
20%
Electives
10%
Practical Experience

Key Topics

Data Structures & Algorithms
Object-Oriented Programming & Software Engineering
Database Management Systems
Computer Architecture & Operating Systems
Networks & Cybersecurity Fundamentals
Artificial Intelligence & Machine Learning

Course Outline

Year 1: Programming Foundations

Year 2: Core CS Principles

Year 3: Advanced Topics & Specialization

Year 4: Capstone & Professional Prep

Career Opportunities

Software Engineer/Developer

Potential Sectors:

Tech Giants (FAANG)FintechE-CommerceGamingStartups

Data Scientist

Potential Sectors:

HealthcareFinanceMarketingResearchConsulting

Systems Analyst/Architect

Potential Sectors:

Enterprise SoftwareBankingTelecommunicationsGovernment

AI/ML Engineer

Potential Sectors:

AI Research LabsAutomotive (Self-driving)RoboticsNatural Language Processing

Academic Researcher

Potential Sectors:

UniversitiesIndustrial R&D LabsPublic Research Institutions

Learning Outcomes

Design, implement, and analyze efficient algorithms and data structures to solve complex computational problems.
Develop robust, scalable, and secure software applications using modern programming languages and software engineering methodologies.
Design and manage relational and non-relational databases to store, retrieve, and manipulate data effectively.
Explain the function of computer system components, from hardware architecture to operating system principles.
Apply principles of artificial intelligence and machine learning to develop intelligent systems and analyze large datasets.

Admission Requirements

UTME Requirements

O'Level Requirements

  • English Language
  • Mathematics
  • Physics
  • Chemistry
  • Further Mathematics, Biology, or Economics

Five (5) O'Level credit passes at not more than two sittings. Mathematics and Physics are absolutely essential. A credit in Further Mathematics is a significant advantage.

JAMB Subjects

  • English Language (Compulsory)
  • Mathematics
  • Physics
  • Chemistry, Economics, or Biology

JAMB Score Requirements

Minimum Score

150

Competitive Score

200

Computer Science is highly competitive. Top universities (federal and state) often have cut-offs of 220 and above.

Direct Entry Requirements

Other Requirements

Grading System

Our Successful Alumni

David Olamide

David Olamide

Software Engineer, Google (USA)

Class of 2018

"The intense focus on algorithms and data structures at SAU was the single biggest factor in passing my Google interviews. The problem-solving approach is world-class."

Chiamaka Nwosu

Chiamaka Nwosu

CTO & Co-Founder, 'FarmSmart' Agritech

Class of 2016

"My capstone project evolved into a startup that now helps thousands of farmers. The program gives you the technical depth and confidence to build scalable, real-world systems."

Did You Know?

The first computer programmer was a woman, Ada Lovelace, who wrote an algorithm for Charles Babbage's Analytical Engine in the 1840s.
There are over 700 programming languages in existence, but most professional software is built using fewer than 20.
The concept of 'debugging' came from Admiral Grace Hopper, who literally removed a moth from a computer in 1947.

Meet Your Department Head

Dr. Funmi Adeyemi

Dr. Funmi Adeyemi

Professor of Artificial Intelligence

Computer Science is more than just programming; it's a new way of thinking. We teach you how to decompose complex problems, design efficient solutions, and continuously adapt to the relentless pace of technological change. Welcome to the engine room of innovation.

Dr. Adeyemi is a leading researcher in Natural Language Processing (NLP) for African dialects. She leads SAU's AI Research Lab and has served as an advisor to tech startups across the continent.

Accreditation

Nigerian University Commission (NUC)
Computer Professionals Registration Council of Nigeria (CPN)

Exam Preparation

The curriculum is designed to provide a strong foundation for technical interviews and certifications from vendors like AWS, Microsoft Azure, and Oracle.

Facilities & Resources

  • High-Performance Computing Lab with dedicated servers for parallel computing and big data projects.
  • Collaborative Software Development Studio with agile project management tools and large monitors.
  • Cisco Networking Lab for practical networking and security exercises.

Industry Connections

Partners

GoogleMicrosoft NigeriaInterswitchAndelaFlutterwave

Initiatives

  • Annual Hackathon
  • Tech Career Fair
  • Guest Lectures from Silicon Valley Engineers
  • Open Source Project Contributions

Scholarship Opportunities

Women in Tech Scholarship

Aimed at increasing female participation in computing, awarded to top-performing female applicants in the program.

Code Ninja Bursary

For students who demonstrate exceptional coding skills through an entrance challenge or prior project portfolio.

Contact Information

Department of Computer Science
compsci@sauni.edu.ng+234 707 356 6121
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