Environment statistics is the application of statistical methods to environmental science.
KsTU is one of the best schools in Ghana offering Master of Technology in Environmental Statistics courses
find below KsTU Master of Technology in Environmental Statistics course, structures, and entry requirements
| Duration: | 2 Years |
| Semesters: | 4 Semesters |
| Credit Hours Per Semester: | Semester 1 = 18 Credit HrsSemester 2 = 18 Credit HrsSemester 3 = 18 Credit HrsSemester 4 = 18 Credit Hrs |
| Total Credit Hours: | 72 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 |
|---|---|---|---|---|
| STE 503 | Probability Distribution | 1.5 | 1.5 | 3 |
| STE 505 | Statistical Inference | 1.5 | 1.5 | 3 |
| STE 507 | Statistical Computing | 1.5 | 1.5 | 3 |
| STE 509 | Graphical Information Systems I | 1.5 | 1.5 | 3 |
| STE 511 | Project Management | 1.5 | 1.5 | 3 |
| STE 513 | The Environment: Concepts, Human Influence and Changes I | 1.5 | 1.5 | 3 |
| TOTAL | 9 | 9 | 18 |
YEAR 1, BLOCK 2 (SEMESTER 2)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STE 502 | Statistical Modelling | 1.5 | 1.5 | 3 |
| STE 504 | Applied Time Series Analysis | 1.5 | 1.5 | 3 |
| STE 506 | Spatial Data Analysis | 1.5 | 1.5 | 3 |
| STE 508 | Geographical Information Systems II | 1.5 | 1.5 | 3 |
| STE 510 | Advanced Research Methods | 1.5 | 1.5 | 3 |
| STE 512 | The Environment: Concepts, Human Influence and Changes II | 1.5 | 1.5 | 3 |
| TOTAL | 9 | 9 | 18 |
YEAR 2, BLOCK 3 (SEMESTER 3)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STE 601 | M. Tech Thesis I | 15 | 0 | 15 |
| STE 603 | Seminar I | 0 | 3 | 3 |
| TOTAL | 15 | 3 | 18 |
YEAR 2, BLOCK 4 (SEMESTER 4)
| Course Code | Course Title | T | P | C |
|---|---|---|---|---|
| STE 602 | M. Tech Thesis II | 15 | 0 | 15 |
| STE 604 | Seminar II | 0 | 3 | 3 |
| TOTAL | 15 | 3 | 18 |
ENTRY REQUIREMENTS
Applicants must possess a B.Tech or B.Sc. Statistics/ B.Tech or B.Sc. Environmental Statistics/ or equivalent qualification.
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 Environmental Statistics applicants may be admitted without 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 environmental science courses as prerequisites.