Journal of Educational Policy and Entrepreneurial Research (JEPER) ISSN: 2408-770X (Print), ISSN: 2408-6231 (Online) Vol.2, N0.3, March 2015. Pp 101-107 101 www.jeper.org Gichuhi and Kibui Individual Factors Influencing Demand for School Based-Module II Programs at the University of Nairobi Loise Gichuhi and Agnes Kibui University of Nairobi, Kenya lopawer2@gmail.com, agneskibui@yahoo.co.uk Abstract This article examines the factors determining demand for module two programs in the University of Nairobi. The findings are based on a survey done randomly on university students enrolled in module II Masters in Education program regardless of the year of learning. Descriptive survey design was chosen as it allowed the gathering of information, summarising, analysing, presenting and interpreting over the past decade. This research is a survey descriptive study. About 150 students registered under the module II Med programs were targeted to answer questionnaires. The questionnaires were mainly seeking factors influencing the choice of University of Nairobi as a university to further their studies. Of the targeted population only 88 students successfully answered and returned the questionnaires. Simple descriptive methods of data analysis were considered to interpret, inform and fill a knowledge gap to a future potential student and other stake- holders including university management Kenya has had a tremendous growth in the demand for higher education. This is evidenced by the number of students applying and admitted and the quantitative growth of universities. This article takes a step towards documenting factors that can guide higher education access policy in Kenya Keywords: Higher Education, Access, Demand, Module II, Kenya Introduction The role of education in determining social and material well-being is well pronounced and documented. Investment in human capital has both economic and non-economic benefits. Individuals’ earning capacity and employment prospects is enhanced through education. This brings a spill- over effect to the distribution of income, firms’ productivity and economic growth (Psacharapoulos & Woodhall, 1985; Psacharapolous, 1984). Mincer (1974) estimated the effects of schooling on wages at 10% using US census data. One of his findings was that education increases the probabilities of being employed and once in employment, better educated individuals earn considerably more than their less educated peers. Non-economic benefits of education includes intergenerational benefits, lower clime, lower fertility, lower maternal and child/infant mortality and better political literate citizens (Psacharapoulos and Woodhall, 1985). Though the role of education in development has been questioned (Arrow,