Start your online bachelor’s degree in Data Science
Our Bachelor of Science in Data Science programme is designed to prepare you for a career in the dynamic and rapidly expanding field of data science. You will acquire a strong foundation in the principles and methodologies of data science, encompassing statistical analysis, machine learning, data visualisation, and data management.
Why you should apply;
- Our programme is taught by experienced and knowledgeable faculty members who are passionate about teaching data science.
- We offer a variety of resources to help you succeed, including a state-of-the-art computer lab, a career center, and a variety of student organizations.
- Our graduates are in high demand by employers in the tech industry.
- A degree in data science can lead to a variety of high-paying and rewarding careers.
Course
Degree
BSc. Data Science
Course Fee
$470
Mode of Study
Online
Duration
4 years
Course Outline
Our curriculum is designed to provide students with the skills and knowledge they need to succeed in a variety of careers in the tech industry. The programme covers a wide range of topics, including programming, data structures, algorithms, operating systems, and artificial intelligence. The faculty is available to students through online forums, email, and phone calls. Students also have access to a variety of resources, including a state-of-the-art e-library, virtual computer labs, a career center, and a variety of student organisations.
1st Semester
Units
Communication in English I
2
Elementary Mathematics I – Algebra and Trigonometry
2
General Physics I – Mechanics
2
General Practical Physics I
1
Use of Library, Study Skills and ICT
2
Introductory Statistics I
3
Introduction to Computing
3
2nd Semester
Units
Peoples and Culture
2
Elementary Mathematics II – Calculus
2
Elementary Mathematics III – Vectors and Geometry
2
General Physics II – Electricity & Magnetism
2
Probability I
2
General Practical Physics II
1
Problem Solving
3
1st Semester
Units
Entrepreneurship and Innovation
2
Mathematical Methods I
2
Computer Programming I
3
Discrete Structures
2
Introduction to Data Science
2
Sets, Logic and Algebra
2
Introduction to R Programming
2
2nd Semester
Units
Philosophy, Logic and Human Existence
2
Linear Algebra I
2
Computer Programming II
3
Computer Architecture and Organisation
2
Statistical Computing Inference and Modelling
3
Introduction to Numerical Analysis
2
Data Engineering
2
SIWES I
3
1st Semester
Units
Venture Creation
2
Data Structures
3
Probability for Data Science
3
Introduction to Cyber Security and Strategy
2
Data Management I
3
Data Quality and Data Wrangling
2
Introduction to Data Protection and IT Security
3
The Internet
2
2nd Semester
Units
Peace and Conflict Resolution
2
Big Data Computing
3
Data Science Innovation and Entrepreneurship
2
Ethics and Legal Issues in Data Science
2
Machine Learning
3
Data Management and Mining
3
Cloud Computing
3
SIWES II
3
1st Semester
Units
Research Methodology and Technical Report Writing
3
Project Management
2
Final Year Project I
3
Algorithms and Complexity Analysis
2
Data Visualisation for Data-driven Decision Making
2
Industrial Internet of Things
2
Neural Nets and Deep Learning
3
2nd Semester
Units
Data Warehouses and Marts
2
Business Intelligence
3
Human Computer Interaction
2
Final Year Project II
3
Model Engineering
3
Operating Systems
3
Time Series Analysis
2
Admission Requirements
A copy of your A’ Level or O’Level result The result must include a minimum of five credits in the following subjects in not more than two sittings:
- English Language
- Mathematics
- Physics
- Two other science-related subjects
Note that JAMB results are NOT REQUIRED
Results will be verified after enrolment into the university.