College of Computing & Information Technology
This programme equips you with the skills to apply data-driven insights to support decision-making across industries.
Academic year | [academic_year]
Level | Undergraduate
Course Code : COMP-N4NB
Mode of Study : Open and Distance Learning
Duration | 4 Years
Programme leader | Prof. Yunus
The B.Sc. in Data Science at SKAUP University of Business & Technology (SUBT) trains students to turn data into decisions that shape businesses, technology, and society. Blending statistics, computing, and real-world applications, the programme develops future-ready graduates equipped with the tools of artificial intelligence, big data, and machine learning.
Delivered through SKAUP’s Connected Classroom, the course offers flexible online study, practical projects, and access to the SKAUP Innovation Centre, where students transform ideas into entrepreneurial ventures.
The B.Sc. Data Science is a four-year programme structured to take students from foundational knowledge in computing and statistics through to advanced applications in artificial intelligence and big data. Here some modules in the course.
Introduction to Computing and Programming
Fundamentals of Statistics
Database Systems I
Communication Skills for Data Professionals.
Elementary Mathematics, Descriptive Statistics, General Physics, Communication in English I & II, Use of Library and Information Skills.
Environment and Sustainability.
Nigerian Peoples and Culture
Data Structures & Algorithms
Probability and Statistical Models
Data Visualisation & Storytelling
Linear Algebra for Data Science.
Linear Algebra for Data Science
Computer Programming (Python/R)
Discrete Structures, Introduction to Data Science
Problem Solving and Algorithms
Entrepreneurship Studies I,
Data Ethics and Privacy (Builds programming and analytical foundations.)
Machine Learning Fundamentals
Big Data Analytics and Cloud Computing
Research Methods in Data Science
Data Security, Ethics & Governance.
Data Structures and Algorithms
Data Wrangling and Visualisation
Neural Networks and Deep Learning
Introduction to Cybersecurity
Database Management Systems
Industrial Training (SIWES)
Big Data Technologies. (Emphasizes advanced tools and practical applications.)
Advanced Artificial Intelligence
Capstone Data Science Project (industry-linked)
Internship / Industry Placement
Seminar on Emerging Trends in Data Science
Algorithms and Complexity, Cloud Computing and IoT, Time Series Analysis and Forecasting
Research Methodology
Final Year Project (capstone on real-world data problem)
Electives (e.g., Business Analytics, AI in Entrepreneurship, Financial Data Science)
Advanced Entrepreneurship Studies. (Culminates in entrepreneurial projects via SKAUP-IC.)
For 100 Level entry: Five O’Level credits (WAEC/NECO/NABTEB) including English Language, Mathematics, Physics, and two other science subjects, obtained in not more than two sittings. JAMB UTME is not required for initial application, but must be regularised post-admission for NYSC eligibility.
For 200 Level (Direct Entry): National Diploma (ND) or Higher National Diploma (HND) with at least Lower Credit in Computer Science, Statistics, Mathematics, or related fields; or two A-Level passes in Mathematics, Physics, or equivalent subjects. International applicants require equivalent qualifications and an IELTS score of 6.0 (or an approved equivalent).
If entry requirements are not fully met, our foundation pathway or CPD courses provide bridging options. Admissions comply with Nigerian Universities Commission (NUC) guidelines and prioritise equity for diverse learners.
