Bachelor of Economics and Statistics
Duration: 4 Years
Start Date:
Cost: KES 105,000 per year
Mode of Delivery: Online
Application Due: Open
Overview
This program is aimed to develop dynamic professionals with knowledge, skills and attitude competences geared towards solving present and emerging socialeconomic realities in principles and empirical aspect through research, modelling and economic analysis to inform policy and practice.
Program’s Academic Focus and Career Prospects
This program is intricately designed to cultivate versatile professionals, equipped with a profound understanding, practical skills, and the right attitude to confront the contemporary and evolving socio-economic challenges. Through a blend of rigorous research, advanced modeling, and economic analysis, graduates are poised to provide evidence-based insights that drive policy formulation and practical interventions in both principle and empirical contexts.
Economics and Statistics Career Projections:
The program lays a robust foundation for diverse and promising career pathways in the domains of economics and statistics, including but not limited to:
- Economist
- Financial Analyst
- Market Research Analyst
- Urban Planner
- Government Economist/Statistician
- Economic Journalist
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Other Programmes Offered
- Bachelor of Data Science
- Bachelor of Agri-Technology and Food Systems
- Bachelor of Business and Entrepreneurship
- Bachelor of Science in Cybersecurity and Digital Forensics
- Postgraduate Diploma in Leadership and Accountability
- Postgraduate Diploma in Learning Design and Technology
- Bachelor of Technology Education
Programme Structure
This program fosters learning in the following key domains:
- Mastery of fundamental concepts and principles in economics and statistics.
- Cultivation of critical, analytical, and problem-solving acumen within the realms of economics and statistics.\
- Proficiency in the application of statistical methodologies for conducting research in economics, thereby informing policy development and implementation strategies.
- Exploration of economic systems, with a keen focus on their applicability in deciphering the evolving socio-economic phenomena encountered in real- world scenarios.
Programme Learning Outcomes
By the end of this programme, the student will be able to learn about:
- Basic concepts and principles in economics and statistics.
- Critical, analytical and problem-solving skills in economics and statistics.
- Application of statistical tools to conduct research in economics and inform policy and implementation strategies
- Economic systems that apply to the changing real life socialeconomic phenomena
Total credit hours and course units required for graduation
Total credit hours and course units required for graduation The programme shall be offered in 8 semesters. The minimum total courses for the programme are 48. The minimum total course credit hours required for graduation is 144 hours.
Admission Requirements
A candidate must satisfy the general University admission criteria for undergraduate programmes.
- A mean grade of C+ and above at KCSE OR
- Diplomas or professional qualifications OR
- A certificate of foundation or bridging courses from recognised institutions OR
- A portfolio for the purpose of recognition of prior learning OR
- Kenya Advanced Certificate of Education with a minimum of 1 principal OR
- A bachelor’s degree from an institution recognised by Senate.
Regulations On Credit Accumulation And Transfer
Credit Accumulation
Regulations on credit accumulation, including possible pathways, shall be in line with the provisions of Universities Regulations, Universities Standards and Guidelines, and general national trends.
Credit Transfer
A candidate may be allowed to transfer credits from part or all of the coursework requirements if the senate is satisfied that the candidate has completed and passed the prescribed courses(s) at the undergraduate level from accredited institutions and programs recognized by the senate. Any course considered for credit transfer must have been completed at an equivalent level and in an equivalent institution, with a minimum grade of 50%.
Guidelines For Transfer Of Credit/ Exemptions
A candidate may be exempted from degree level courses if the Senate is satisfied that the candidate has completed a similar course at the Diploma level from a recognized institution. The general rules governing credit transfers and exemptions will apply. In addition, the following rules apply:
- Must meet the requirements for admission to the Bachelor of Data Science program.
- Must obtain and submit an official transcript from the previous university/college indicating academic status, courses offered, credits units completed, and grades obtained.
- Will be allowed to transfer/exempt credits earned from the courses described, but only up to 49%.
- If permitted to transfer/exempt, he/she will not be permitted to transfer units in courses in which he/she received a pass mark of less than 50%.
- All applications must be accompanied by recommendations from the institution from which he or she is transferring.
- The school will evaluate the application and make recommendations to the Sen- ate.
Student Assessment Levels
Student Assessment at programme level
The course will be assessed through:
- Content embedded quizzes
- Online practical work
- Open book tests
- Project reports
- End of course online examination
The projects will be assessed through e- portfolios. Students will present their work to an evaluation panel. All students’ work will be checked for plagiarism. The students should be logged in with the university provided login details in order to carry out any task.
Countinous Assessment
Tests/Tasks: 50%
Examination 50%
Programme Courses
FIRST SEMESTER | SECOND SEMESTER |
Introduction to Microeconomics | Introduction to Macroeconomics |
Foundations of Mathematics | Introduction to Mathematical Economics |
Introduction Statistics | Calculus |
Entrepreneurial Environment | History of Economic Thought I |
Introduction to Computing | Society and National Development |
Contemporary Issues in Psychology | Introduction to Philosophy |
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