Diploma in Financial Statistics
Kumasi Technical University · Faculty of Applied Sciences
Will you get in?
Meet the minimum pass grades for this level and you will be considered. Enter your WASSCE grades and we will tell you whether you meet the published cut-off for this programme — and every other programme at Kumasi Technical University you qualify for.
Check if you qualifyThe Diploma in Financial Statistics at Kumasi Technical University is a programme in the Faculty of Applied Sciences that prepares you to apply statistical methods to financial problems. It is designed for students who enjoy working with numbers and want to understand how data drives decisions in banking, investment, and other finance-related fields. This page tells you what the programme covers, how competitive it is to get in, and the kinds of jobs you can do after graduating.
What financial statistics covers
Programmes of this kind typically teach you how to collect, analyse, and interpret data, with a focus on financial and economic information. You learn probability and statistical theory, how to build and use financial models, and how to present your findings clearly. The practical side often includes using statistical software and working with real-world data, so you leave with skills that are directly useful in many workplaces.
How hard it is to get a place
This diploma is one of the less competitive programmes at the university, which means it is easier to get into than many others. If you have the minimum qualifications from SHS, you have a reasonable chance of being offered a place. Because competition is lower, you can focus more on your interest in the subject rather than worrying about very high aggregates. Always confirm the exact entry requirements with the university before applying.
Entry requirements
SHS backgrounds accepted
Every SHS course of study may apply to this college.
Aggregate needed
Kumasi Technical University publishes a cut-off aggregate for this programme. Run a check to see whether your grades meet it.
Where graduates work
- Data Analyst
- Statistician
- Financial Analyst
- Risk Analyst
- Insurance Analyst
- Investment Analyst