| Duration: | 2 Years |
| Semesters: | 4 Semesters |
| Credit Hours Per Semester: |
Semester 1 = 18 Credit Hrs Semester 2 = 18 Credit Hrs Semester 3 = 16 Credit Hrs Semester 4 = 16 Credit Hrs |
| Total Credit Hours: | 68 credit Hours |
| Dean of Faculty: | Prof. Bashiru I. I, Saeed |
| Head of Department: | Hudu Mohammed |
| Exam Officer: | Mr. Francis Anyan |
YEAR 1, BLOCK 1 (SEMESTER 1)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STF 501 | Advanced Probability Theory | 1.5 | 1.5 | 3 |
| STF 503 | Statistical Inference | 1.5 | 1.5 | 3 |
| STF 505 | Statistical Computing | 1.5 | 1.5 | 3 |
| STF 507 | Risk Management | 1.5 | 1.5 | 3 |
| STF 509 | Econometrics | 1.5 | 1.5 | 3 |
| STF 511 | Advanced Microeconomics | 1.5 | 1.5 | 3 |
| TOTAL | 18 | 0 | 18 | |
YEAR 1, BLOCK 2 (SEMESTER 2)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STF 502 | Statistical Modelling | 1.5 | 1.5 | 3 |
| STF 504 | Advanced Research Methods | 1.5 | 1.5 | 3 |
| STF 506 | Financial Science Statistics | 1.5 | 1.5 | 3 |
| STF 508 | Financial Economics | 1.5 | 1.5 | 3 |
| STF 510 | Applied Time Series Analysis | 1.5 | 1.5 | 3 |
| STF 512 | Advanced Macroeconomics | 1.5 | 1.5 | 3 |
| TOTAL | 18 | 0 | 18 | |
YEAR 2, BLOCK 3 (SEMESTER 3)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STF 601 | M. Tech Thesis I | 15 | 0 | 15 |
| STF 603 | Seminar I | 0 | 1 | 1 |
| TOTAL | 15 | 1 | 16 | |
YEAR 2, BLOCK 4 (SEMESTER 4)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STF 602 | M. Tech Thesis II | 15 | 0 | 15 |
| STF 604 | Seminar II | 0 | 1 | 1 |
| TOTAL | 15 | 1 | 16 | |
a. BTech / BSc Statistics, Financial Statistics, Economics
b. All applicants must have a minimum of one (1) year post- qualification industrial experience. Preference will be given to applicants with 1st class and 2nd class upper honours. First class BTech Financial Statistics applicants may be admitted without the post-graduation industrial experience. Applicants with a second class (lower division) or lower qualifications must pass a selection interview before admission into the programme. Applicants with other Statistics or Mathematics backgrounds would be required to take relevant Financial Science courses as prerequisites.
Location: Kumasi - Ashanti Region, Ghana, W/A
Postal Address: P. O. Box 854, Kumasi Fax: +233 (0)3220-22387
Email: info@kstu.edu.gh, academicaffairs@kstu.edu.gh
Tel: Admissions: +233(0)322 496 534, +233(0)322 496 380
Vice-Chancellor's Office: +233 (0)3220-22387
