Actuarial Science with Data Analytics
Business & Actuarial Studies
Actuarial Science with Data Analytics combines the mathematical assessment of financial risk with modern data science techniques. Students learn to use statistical models and large datasets to predict future financial outcomes and manage uncertainty for insurance, banking, and investment firms. The program bridges traditional actuarial exams with practical coding and machine learning skills.
Entry Requirements
WASSCE/SSSCE: Credit passes (A1-C6 / A-D) in English, Core Mathematics, Integrated Science/Social Studies, and 3 relevant electives with aggregate 24/36 or better. HND holders need 2nd Class Lower and 2 years experience. Mature students must be 25+ and pass an access course. International fees apply (approx. USD 1,080 - 1,250/year).