Introduction
The BSc in Applied Statistics (Environmental Statistics) is aimed at training students at the degree level with skill of collecting, analyzing, interpreting and managing environmental data to draw appropriate conclusions on environmental issues such as climate change, pollution and global warming hampering the development of the economy.
Objectives
The objectives are for the learners to have the ability to:
- Equip students with conceptual and theoretical knowledge in Statistics as it relates to the environment;
- Equip students with analytical and practical skills in handling real world environmental problems;
- Train students to acquire ethical and professional skills in the realm of environmental statistics;
- Introduce students to conduct research into environmental challenges and emerging issues on environment;
- Provide students avenue to further education in environmental statistics.
Job Opportunities
Successful graduates from the BSc Applied Statistics (Environmental Statistics) programme will be able to take jobs in:
- Environmental Protection Agency
- Research Institutions
- Forestry Commission
- Lands Commission
- Lands and Natural Resources Commission
- Cocoa Research Institute
- Zoom lion Ghana Limited
- Manufacturing Firms
- Cocoa Research Institute
- Lands Valuation Board
- Academic Institutions
ENTRY REQUIREMENTS
To be admitted into BSc Applied Statistics (Environmental Statistics) programme, a candidate must, satisfy the minimum University and the Department of Statistical Sciences entry requirements.
Students Admission and its Equivalence
- WASSCE/SSSCE
Holders who have credits (A1-C6/A-D Respectively) in the following Three (3) Core Subjects: English Language, Mathematics and Integrated Science plus credits (A1-C6/ A-D) in Three Elective Subjects and a pass in any of these subjects: Physics, Chemistry, Economics, Biology or Elective Mathematics with an Aggregate Score of 24 or better in the relevant Area of Study (including Agricultural Science or General Science or General Arts with Geography and Economics options or Business with Elective Mathematics option).
- MATURE STUDENTS
Must be 25 years old with legitimate documentary proof which is at least five (5) years old at the time of application, must pass Mature Students’ Entrance Examinations conducted by KsTU, may have to attend and pass an interview. Evidence of working experience will be an added advantage.
- WASSCE/SSSCE
Holders who have credits (A1-C6/A-D Respectively) in the following Three Core Subjects: English Language, Mathematics and Integrated Science plus credits (A1-C6/ A-D) in Three Elective Subjects with an Aggregate Score of 24 or better in the relevant Area of Study.
- ADVANCED LEVEL
Holders with credits in at least Five subjects at the GCE ‘O’ Level (or its equivalent) including English Language and Mathematics, plus at least two passes in the relevant subjects at the Advanced Level obtained in Five years and above.
- HND (First Class or Second-Class Upper Division)
In Statistics or related area with a minimum of two (2) years working experience will be admitted to third year (i.e., 5th Semester). Candidates with Second Class Lower Division will have to attend an interview.
- Other Diploma Qualifications
relevant to the programme may also be considered and be admitted to second year (i.e., 3rd Semester).
- Mature Applicants
Must be 25 years old with legitimate documentary proof which is at least five (5) years old at the time of application, must pass Mature Students’ Entrance Examinations conducted by KsTU, may have to attend and pass an interview. Evidence of working experience will be an added advantage.
- All foreign applicants
Must provide their certificates which shall be referred to Ghana Tertiary Education Council (GTEC) for determination of equivalences and eligibility for admission to tertiary institutions in Ghana (National Accreditation Board) Act, 2007 {Act 744 (2(2b)}).
MODULAR COURSE STRUCTURE
YEAR 1, SEMESTER 1 | ||||
Course code | Courses | T | P | C |
STA 101 | Elements of Mathematics | 3 | 0 | 3 |
STA 103 | Statistical Methods I | 3 | 1 | 3 |
STA 105 | Introductory Probability | 3 | 0 | 3 |
BES 117 | Statistical Methods project | 0 | 4 | 2 |
BES 119 | Introduction to Economic Theory | 3 | 0 | 3 |
CLT 101 | Computer Literacy I | 2 | 1 | 2 |
COS 101 | Communication Skills I | 2 | 1 | 2 |
AFS 100 | African Studies I | 2 | 0 | 0 |
Total | 18 | 7 |
18 |
YEAR 1, SEMESTER 2 | ||||
Course code | Courses | T | P | C |
STA102 | Calculus | 3 | 0 | 3 |
STA 104 | Statistical Methods II | 3 | 1 | 3 |
STA 106 | Probability Distributions | 3 | 0 | 3 |
BES 128 | Applied Probability distributions Project | 0 | 4 | 2 |
BES 130 | Applied Macroeconomics | 3 | 0 | 3 |
CLT 102 | Computer Literacy II | 2 | 1 | 2 |
COS 102 | Communication Skills II | 2 | 1 | 2 |
AFS 100 | African Studies II | 2 | 1 | 2 |
Total | 18 | 8 | 18 |
YEAR 2, SEMESTER 1 | ||||
Course code | Courses | T | P | C |
STA 201 | Statistical Inference | 2 | 1 | 2 |
STA 203 | Sampling Techniques | 3 | 1 | 3 |
STA 205 | Introduction to Statistical Computing I | 2 | 2 | 3 |
STA 207 | Design and Analysis of Experiments I | 2 | 2 | 3 |
STA 209 | Statistical Theory | 2 | 1 | 2 |
STA 231 | Differential Equations | 3 | 0 | 3 |
BES 213 | Techniques of Sampling and design of experiment Project | 0 | 4 | 2 |
Total | 14 |
11 |
18 |
YEAR 2, SEMESTER 2 | ||||
Course code | Courses | T | P | C |
STA 202 | Design and Analysis of Experiments II | 3 | 1 | 3 |
STA 204 | Sample Survey | 3 | 1 | 3 |
STA 206 | Statistical Computing II | 3 | 2 | 4 |
STA 208 | Nonparametric methods | 3 | 1 | 3 |
BES 210 | Environment and Health | 3 | 1 | 3 |
STA 240 | Matrix Algebra | 3 | 0 | 3 |
BES 212 | Sample survey and Environment & Health Project | 0 | 4 | 2 |
|
18 | 10 | 21 |
YEAR 3, SEMESTER 1 | ||||
Course Code | Courses | T | P | C |
STA 301 | Official Statistics I | 3 | 1 | 3 |
STA 303 | Regression Analysis | 2 | 2 | 3 |
STA 305 | Multivariate Data Analysis | 2 | 2 | 3 |
BES 309 | Analysis of Multivariate data Project | 0 | 4 | 2 |
BES 335 | Research Methodology | 2 | 1 | 2 |
BES 313 | Introduction to Climatology | 3 | 1 | 3 |
ENT 323 | Venture Creation and Business Plan | 3 | 0 | 3 |
BES 317 | Business Planning and Venture Creation Project | 0 | 4 | 2 |
Total | 15 | 15 |
21 |
YEAR 3, SEMESTER 2 |
|
| ||
Course Code | Courses | T | P | C |
STA 302 | Stochastic Processes | 2 | 2 | 3 |
STA 304 | Time Series Analysis | 2 | 2 | 3 |
STA 306 | Official Statistics II | 2 | 1 | 2 |
STA 308 | Introduction to Spatial Statistics | 3 | 1 | 3 |
BES 308 | Time Series and Stochastic processes Project | 0 | 4 | 2 |
BES 310 | Solid Waste Management | 3 | 1 | 3 |
BES 312 | Bayesian Statistics | 3 | 1 | 3 |
BES 314 | Application of Spatial Statistics in solid waste management Project | 0 | 4 | 2 |
Total | 15 | 16 | 21 |
YEAR 4, SEMESTER 1 |
|
| ||
Course Code | Courses | T | P | C |
BES 401 | Attachment/Internship | 0 | 6 | 3 |
BES 411 | Introduction to Applied Econometrics (Environmental Economics) | 2 | 1 | 2 |
BES 413 | Environmental Impact and Risk Assessment | 2 | 2 | 3 |
BES 415 | Agro Ecology | 3 | 1 | 3 |
BES 417 | Environmental Impact Assessment Project | 0 | 4 | 2 |
BES 421 | Remote Sensing and Geographic Information Systems | 3 | 1 | 3 |
BES 423 | Remote Sensing and GIS Project | 0 | 4 | 2 |
Total | 10 | 19 | 18 | |
YEAR 4, SEMESTER 2 |
|
| ||
Course Code | Courses | T | P | C |
BES 402 | Environmental Resource Planning | 3 | 1 | 3 |
BES 404 | Urban And Local Economics | 3 | 1 | 3 |
BES 406 | Environmental Pollution | 3 | 1 | 3 |
BES 408 | Environmental Resource planning and pollution Project | 0 | 4 | 2 |
BES 400 | Project Work | 0 | 8 | 4 |
Total | 9 | 15 | 15 |