Location: Kumasi - Ashanti Region, Ghana, W/A
Postal Address: P. O. Box 854, Kumasi Fax: +233 (0)3220-22387
Email: info@kstu.edu.gh
vco@kstu.edu.gh
Tel: +233 (0)3220-22387, +233 (0)3220-22388
Master of Technology in Financial Statistics
| 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 |
COURSE OUTLINE
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 | |
ENTRY REQUIREMENTS
Applicants must possess a
i. B.Tech or B.Sc. Statistics
ii. B.Tech or B.Sc. Financial Statistics
iii. B.Sc. Economics
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 B.Tech Financial Statistics applicants may be admitted without the post-graduation industrial experience. Applicants with a second class (lower division) or lower qualifications will have to pass an interview before admission into the programme.
Applicants with other statistics or mathematics backgrounds would be required to take relevant financial science courses as prerequisites.
Department:
Programme Category: