Bachelor of Economics and Data Science
Duration
4 years (8 semesters) plus at least 8 weeks of industrial attachment
Mode of study
Online
Academic school
School of Business & EconomicsProgramme overview
The Bachelor of Economics and Data Science is founded on the University’s overarching philosophy emphasizing the development of professionals adept in economic data analytics and economic theory. This programme not only imparts essential technical skills for careers in Economics and Data Science but also fosters a comprehensive understanding of data’s influence on economic policy and strategy. The curriculum is dynamic, integrating the latest advancements in Big Data and Artificial Intelligence and is delivered with a commitment to openness, flexibility and accessibility in education.
Expected outcomes
- Describe basic concepts and principles in economics and Data Science and apply this knowledge to solve economic problems using statistical tools.
- Analyse and interpret data, identifying trends, and extracting meaningful insights from complex economic datasets.
- Evaluate the effectiveness of economic policies and strategies using data-driven approaches and critical thinking.
- Create innovative solutions and synthesize interdisciplinary knowledge to address challenges at the intersection of economics and data science on the changing socioeconomic environment.
Entry 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 the Senate.
Programme structure
The programme shall be offered in 8 semesters and at least 8 weeks of industrial attachment after semester 6 (Year 3 Semester 2), comprising four academic years. The minimum total courses for the programme are 41. The minimum total credit hours and course instructional hours required for graduation are 132 and 1,980 hours respectively. The curriculum unfolds as follows: Year one introduces core Economics and Data Science topics alongside one University Common Course. Year two delves into intermediate concepts, requiring completion of all core courses. Year three advances into specialized topics, mandating all core courses and an 8-week industrial attachment post-semester six. The final year focuses on skill transferability at an advanced level, with all core courses and a project completion requirement. Courses are drawn from Economics (50%) and Data Science (50%).
Assessment methods
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.
Continuous Assessment
Tests/Tasks: 50%
Examination 50%
Global careers
Career Prospects
- Data Analyst
- Financial Analyst
- Economist
- Business Intelligence Analyst
- Market Research Analyst
- Operations Research Analyst
- Business and Economics Journalism
Application hub
Typical duration
Delivery mode
Online
Accreditation info
Fully accredited by the Commission for University Education (CUE) and recognised globally for digital-first excellence.
School of Business & Economics
Related programmes
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Location
Nairobi, Kenya