Turn data into predictive insight using statistics, mathematics, and computer science. Students build and deploy machine learning models through hands-on projects in NLP, computer vision, and predictive analytics.
- Degree
- Bachelor of Science (B.Sc.)
- Study mode
- Online, on-campus, hybrid
- College
- College of Technology
What you will learn
- Statistical and mathematical modeling
- Machine learning and applied AI
- Python, R, and the modern data stack
- Data engineering and MLOps
Career opportunities
- Data Scientist
- Machine Learning Engineer
- AI Specialist
- Quantitative Analyst
Admission requirements
- Five O'Level credits including English Language and Mathematics.
- Subject credits relevant to the chosen program.
- UTME or Direct Entry qualification where applicable.
- A working device and a reliable internet connection.
- Students transitioning to a new program must provide their degree credentials.
Turn data into predictive insight using statistics, mathematics, and computer science. Students build and deploy machine learning models through hands-on projects in NLP, computer vision, and predictive analytics.
- Degree
- Bachelor of Science (B.Sc.)
- Study mode
- Online, on-campus, hybrid
- College
- College of Technology
What you will learn
- Statistical and mathematical modeling
- Machine learning and applied AI
- Python, R, and the modern data stack
- Data engineering and MLOps
Career opportunities
- Data Scientist
- Machine Learning Engineer
- AI Specialist
- Quantitative Analyst
Admission requirements
- Five O'Level credits including English Language and Mathematics.
- Subject credits relevant to the chosen program.
- UTME or Direct Entry qualification where applicable.
- A working device and a reliable internet connection.
- Students transitioning to a new program must provide their degree credentials.
