1. Holders of a good B.Ed degree from any recognized university, and should have taught for not less than two (2) years after completion of their degree programmes.
2. Holders of a good B.A or B.Sc degree must, in addition, hold a Postgraduate Diploma in Education(PGDE) or Postgraduate Certificate in Education(PGCE) from the University of Cape Coast or any recognized university and must have taught for not less than two(2) years after completion of their degree programme.
3. Applicants for MPhil in Educational Planning who have knowledge in Economics at the first degree level in addition to (1) and (2) above, will have an advantage.
4. MPhil in Administration in Higher Education: In addition to requirements under (1) and (2) above, applicants who have worked as administrators in Higher Educational Institutions for not less than two years will have an advantage.
5. Candidates would have to pass a selection interview
The aim of the government’s programme to modernize and expand agriculture depends on the availability of highly trained and skilled personnel in the field of mechanisation. The M.Phil programme in Mechanisation provides the opportunity for graduates of agriculture, agricultural engineering and other related disciplines to be equipped with the requisite training and skills to help in the modernization of agriculture through mechanisation development and management
Candidates seeking admission into M.Phil. in Mechanisation must have obtained a good bachelor degree at least Second Class Lower Division or better from a recognised institution or Cumulative Grade Point (CGPA) of 2.5 on a 1 - 4 scale or its equivalence in agriculture or related field. Considerable working experience preferably in Agriculture is desirable but not required. A considerable working experience will be an advantage but not a prerequisite. Candidates for M.Phil Mechanisation must possess a good first degree in agriculture with a significant amount of engineering to be admitted into the programme.
9 READING LIST
-
Adams, A. R. (2003). Calculus, A Complete Course, 6th Ed. Addison Wesley Longman.
-
Ahlfors, L. (1979). Complex Analysis, McGraw-Hill.
-
Allan, J. (2002). Advanced Engineering Mathematics, Harcourt/Academic Press, USA.
-
Allen L, J.S. (2007). An Introduction to Mathematical Biology, Pearson Education, New Jersey, USA
-
Anderson, A. & May, R. (1991). Infectious Diseases of Humans: Dynamics and Control, Oxford University Press, London. United Kingdom.
-
Anderson, D. R., Sweeney, D. J. & Williams, T. A. (1988). An Introduction to Management Science: Quantitative Approaches to Decision Making; 5 Ed., West Pub. Co., USA.
-
Anton, H. & Rorres, C. (1988 ). Elementary Linear Algebra, Applications Version, John Wiley, New York, USA.
-
Axler, S. (1997). Linear Algebra Done Right, Springer.
-
Bak, J. & Newman, D. J. (2010). Complex Analysis, Springer-Verlag, New York.
-
Betts, J. T. (2001). Practical Methods for Optimal Control Using Nonlinear
Programming, SIAM, Philadelphia, USA.
-
Berenstein, C. A. (1985). Complex Analysis; Springer-Verlag, New York.
-
Bick, T. A. (1971 ). Introduction to Abstract Mathematics; Academic Press.
-
Birkhoff, G. and Rota, G. (1989). Ordinary Differential Equations; John Wiley and Sons.
-
Boyce, W. E. & DiPrima, R. C. (2006). Elementary Differential Equations And Boundary Value Problems, Prentice Hall, New Jersey, USA.
-
Brauer, F. (2006). Some Simple Epidemic Models, Mathematical biosciences and
-
Brauer, F., Castillo-Chavez, C. (2012). Mathematical Models for Communicable
-
Brian D, Hahn, (2007). Essential MATLAB for Scientists and Engineers, Pearson Education, South Africa.
-
Broman, A. (1970). Introduction to Partial Differential Equations; Dover, USA.
-
Brown, J. & Churchill, R. (1996). Complex variables and applications, 7th Ed.
-
Brown, J. W. & Sherbert, D. R. (1984). Introductory Linear Algebra with Applications, PWS, Boston.
-
Bryson, A. E. & Ho, Y. (1975). Applied optimal control: Optimization, Estimation
-
Budak, B. M., & Fomin S. (1973). Multiple Integrals, Field Theory and Series; Mir Publishers, Moscow.
-
Burden, R. & Faires, J. D. (2006), Numerical Analysis, PWS Publishers
Diseases, SIAM, Philadelphia, USA.
-
Capinski, M. & Kopp, E. (2005), Measure, Integral and Probability, Springer-Verlage London Limited.
-
Christian, P., Nagy, J. G. Dianne & O’Leary, D., (2006), Deblurring Images, Matrices, Spectra, and Filtering. SIAM , Philadelphia, USA.
-
Churchill, R. V. & Brown, J. W (1990 ). Complex Variables and Applications; McGraw Hill Inc., USA.
-
Coddington, E.A. & Levinson, N. (1983), Theory of Ordinary Differential Equations; Robert Krieger Publishing Company, Malabar, Florida.
-
Courant, R., & John, F. (1974). Introduction to Calculus and Analysis; Vol. 2, John Wiley and Sons, USA.
-
Daellenbach, H. G., George, J. A. & McNicke, D.C. (1983). Introduction to Operations Research Techniques; 2 Ed., Allyn and Bacon, Inc., USA.
-
Datta, B. N. (2009), Numerical Linear Algebra and Applications, SIAM, Philadelphia, USA.
-
David, C. L. (2002). Linear Algebra and its Applications, Addison-Wesley, New York, USA.
-
De-Lillo, N. J. (1982). Advanced Calculus with Applications; Macmillan Pub., USA.
-
Diekmann, O. & Heesterbeek, J.A. P. (2000). Mathematical Epidemiology of Infectious Diseases, John Wiley & Sons, West Sussex.
-
Edwards, C. H. & Penny, D. E. (2005). Elementary Differential Equations With Boundary Value Problems, Prentice Hall, New Jersey, USA
-
Edwards, C. H. & Penney, D. E. (1999). Calculus With Analytic Geometry: Early Trancendentals; 5 Prentice Hall Inc., USA.
-
Eisberg, R.M. (2000). Fundamentals of Modern Physics, John Wiley & Sons Inc. New York.
-
Evans, C. L. (2010). Partial Differential Equations, American Mathematical Society.
-
Fiacco, A. V. & McCormock, G. P. (1990). Nonlinear Programming, SIAM, Philadelphia, USA.
-
Fraleigh, J. B. (1989). A First Course in Abstract Algebra.
-
Froberg E. (1968). Introduction to Numerical Analysis, Addison and Wesley, USA.
Philadelphia, USA.
-
Gallian, J. A. (1990), Contemporary Abstract Algebra; D. C. Heath and Company.
-
Gerald, C. F. & Wheatley (2001) Applied Numerical Analysis; Addison &Wesley, USA.
-
Gibarg, D. & Trudinger, N. S. (1983). Elliptic Partial Differential Equations of Second Order; Springer-Verlag, New York.
-
Goldstein, H. (1986). Classical Mechanics, Addison-Wesley Publishing Company.
-
Haaser, N. B. & Sullivan, J. A. (1991). Real Analysis; Dover.
-
Halmos, P.R. (1960), Measure Theory; Springer-Verlag, New York.
-
Hertcote , H. W. (2000). The Mathematics of Infectious Disease, SIAM Review, Amsterdam, The Netherlands.
-
Higham , D. J. (2005). MATLAB Guide, SIAM, Philadelphia, USA.
-
Hilberland, F. B. (1962). Advanced Calculus for Application; Prentice Hall, USA.
-
Hillier, F. S. (2012). Introduction to Operations Research, McGraw Hill, Inc., USA.
-
Hirsch, M. W, Smale, S. & Devaney, R. L. (2004). Differential Equations, Dynamical Systems & An Introduction to CHAOS, Elsevier Academic Press,
-
Hocking, L. M. (1991), Optimal Control: An Introduction to the Theory with Applications, Clarendon Press, London.
-
Hungerford, T. W. (1974). Algebra; Springer-Verlag, New York.
Vol 42, No. 4, December 2000, pp. 599—653.
-
Igor G., Nash, S. G. & Sofer A., (2009). Linear and Nonlinear Optimization, SIAM, Philadelphia, USA.
-
Kaufmann, J. E. (1987). College Algebra and Trigonometry; PWS Publishers, USA.
-
Kirk , D. E., (2004), Optimal control theory: An Introduction, Dover Publications.
-
Klages, R. & Howard, P. (2008), Introduction to Dynamical Systems, (Lecture Notes Version 1.2), Queen Mary University of London.
-
Kofinti, N. K. (1997). Mathematics Beyond the Basic; Vol. 1, City Printers, Accra.
-
Kolman, B. (1984). Introductory Linear Algebra with Applications; Macmillan Publishing Company.
-
Kreyszig, E. (1978 ). Introductory Functional Analysis with Applications; John Wiley and Sons, New York, U.S.A.
-
Kudryavtsev, V. A. (1981). A Brief Course of Higher Mathematics; Mir Publishers, Moscow.
-
La Salle, J. P. (1976), The Stability of Dynamical Systems, SIAM, Philadelphia, USA.
-
Lang, S. (2012). Calculus of Several Variables, Springer-Verlag, New York.
-
Lenhart S., & Workman J. T., (2007), Optimal Control Applied to Biological Systems, Chapman & Hall, New York, USA.
-
Lenhart, S., & Workman, J. T. (2007). Optimal Control Applied to Biological, John Wiley & Sons, New York, USA.
-
Levine, I.N. (1991). Quantum Chemistry, 4th Ed., Prentice Hill.
-
Levy, A. B. (2009). The Basics of Practical Optimization, SIAM, Philadelphia, USA.
-
Levy, A. B. (2009). The Basics of Practical Optimization and Control, SIAM, Philadelphia, USA.
-
Linz, P. & Wang, R. (2002). Exploring Numerical Methods: An Introduction to Scientific Computing Using MATLAB, Jones & Bartlett Publishers, London.
-
Lipschuts, S. (1975), General Topology; McGraw-Hill Book Company.
-
Liu, J. H. (2003). A First Course in the Qualitative Theory of Differential Equations, Pearson Education, Inc., New Jersey.
-
Luenberger, D. G., (1996). Optimization by Vector Space Methods, John Wiley & Sons, New York, USA.
-
Marion, J.B. & Thornton, S.T. (1995). Classical Dynamics of Particles and Systems, Saunder College Publishers.
-
Marsden, J.E. (1970). Basic Complex Analysis; W.H. Freeman and Co.
-
McCann, R. C. Introduction to Ordinary Differential Equations; Harcourt Brace Janovich, USA.
-
McCoy, N. H. (1968). Introduction to Modern Algebra; Allyn and Bacon Inc.,
-
Merzbacher, E. (1986). Quantum Mechanics, 2nd Ed. John Wiley & Son Inc.
-
Morash, R. P. (1987). A Bridge to Abstract Mathematics; Random House Inc., New York.
-
Munem, M. A. (1989). After Calculus: Analysis; Collier Macmillan Pub. , London.
-
Nicholson, K. W. (1986). Elementary Linear Algebra with Applications; PWS-KENT.
-
Ortega, J. M. (1990), Numerical Analysis, SIAM, Philadelphia, USA.
Philadelphia, USA.
-
Offei, D.N. (1970), The use of boundary condition functions for non-self-adjoint boundary value problems; I
-
Offei, D. N. (1969). Some asymptotic expansions of a third-order differential equations; Journal of London Mathematical Society, 44 71-87.
-
Penny, J. & Lindfield, G. (1995), Numerical Methods Using MATLAB, Ellis Horwood, New York.
-
Petrovsky, I. G.(1954 ). Lectures on Partial Differential Equations; Dover, USA.
-
Pinchover, Y. & Rubinstein, J. (2005). An Introduction to Partial Differential Equation, Cambridge University Press.
-
Piskunov, N. (1981). Differential and Integral Calculus; 4 Ed., Mir Publishers, Moscow.
-
Pliska, S. R. (2002). Introduction to mathematical finance: Discrete time models, Blackwell Publishers Inc.
-
Poole, D. (2014). Linear Algebra: A Modern Introduction, Dover, USA.
-
Priestley, H. A. (2003). Introduction to Complex Analysis, 2nd Ed., OUP.
-
Redheffer, R. (1992). Introduction to Differential Equations; Jones & Bartlett Pub., Inc.
-
Roberts, A. J. (2009), Elementary Calculus of Financial Mathematics, SIAM, Philadelphia, USA.
-
Rofman, J. J. (2015). Advanced Modern Algebra, American Mathematical Society.
-
Roman, S. (2005), Advanced Linear Algebra, 2nd edn; Springer-Verlag, New York.
-
Ross, S. L. (1984). Differential Equations; 3 Ed., John Wiley & Sons, USA.
-
Rudin, W. (1974), Principles of Mathematical Analysis; McGraw-Hill Book Company.
-
Savin, A. & Sternin, B. (2017). Introduction to Complex Theory of Differential Equations, Birkhauser.
-
Scheid, F. (1988). Numerical Analysis (Schaum Series); McGraw Hill, USA.
-
Schiff, L.I. (1988). Quantum Mechanics, 3rd Ed., McGraw Hill, New York.
-
Simmon, G.F. (1973), Introduction to Topology and Modern analysis; McGraw-Hill.
-
Smith, K. L. (1988). College Mathematics and Calculus With Applications to Management, Life and Social Sciences; Brooks/Cole Publishing Co., California, USA.
-
Speyer, J. L. & Jacobson, D. H. (2010). Primer on Optimal Control Theory, SIAM.
-
Spiegel, M. R. (1991 ). Complex Variables (Schaum Outline Series); McGraw Hill Inc.
-
Spiegel, M.R. (1992), Real Variables: Lebesque Measure and Integration with Applications to Fourier Series; MacGraw-Hill
-
Spiegle, M. R. (1991). Advanced Calculus; McGraw Hill, USA.
-
Stewart J. (1983). Single Variable Calculus; PWS, USA.
-
Stewart, J. (1987). Calculus; Wadsworth Inc.
-
Stewart, J. (2003). Calculus (Early Transcendental), 6th Ed. Thomson Brooks/Cole.
-
Strang, G. (2006). Linear algebra and Its Applications, Thomson Brookes/Cole,
California, USA.
-
Strauss, W. A. (1992). Partial Differential Equations, an Introduction; John Wiley &
Sons Inc. New York.
-
Sun, W. & Yuan, Y. (2006), Optimization Theorey and Methods: Nonlinear
Programming, Springer, New York, USA.
-
Swokowski, E. W. (1984). Calculus With Analytic Geometry; 3 Ed. Prindle, Weber
and Schmidt, Boston, USA.
-
Symon, K.R. (1973). Mechanics, Addison-Wesley Publishing Company
Systems, Chapman & Hall, New York, USA.
-
Taylor, A.E. & Lay, D.C. (1988), Introduction to Functional analysis; John Wiley
and Sons.
-
Teschle, G., (2010). Ordinary Differential Equations and Dynamical Systems:
Graduate Studies in Mathematics, AMS Vol 140, Providence, Rhode Island, USA
-
Thomas, G. B. and Finney, R. L. (1996). Calculus and Analytic Geometry; 9 Ed.
Addison-Wesley Pub., Reading, USA.
-
Titchmarsh, E.C. (1972), Eigenfunction expansions associated with second-order
differential equations; Oxford University Press.
-
Trefethen, L. N., & Bau, D. ( 1997). Numerical Linear algebra ,SIAM, Philadelphia,
USA.
-
Winston, W. L. (1994). Operations Research: Applications and Algorithms; 3rd Ed.,
Duxbury Press, Belmont, USA.
-
Winter, R.G. (1986). Quantum Physics, 2nd Ed., Faculty Publishing Inc.
Zill, G. D. (2012). A First Course in Differential Equations with Modelling Applications, John Wiley and Sons.
Not Published
1. Holders of a good B.Ed degree from any recognized university, and should have taught for not less than two (2) years after completion of their degree programmes.
2. Holders of a good B.A or B.Sc degree must, in addition, hold a Postgraduate Diploma in Education(PGDE) or Postgraduate Certificate in Education(PGCE) from the University of Cape Coast or any recognized university and must have taught for not less than two(2) years after completion of their degree programme.
3. Applicants for MPhil in Educational Planning who have knowledge in Economics at the first degree level in addition to (1) and (2) above, will have an advantage.
4. MPhil in Administration in Higher Education: In addition to requirements under (1) and (2) above, applicants who have worked as administrators in Higher Educational Institutions for not less than two years will have an advantage.
5. Candidates would have to pass a selection interview
The programme is designed to provide an understanding of the principles of the design and operation of the different types of irrigation systems and their management. It is also meant to familiarize students about agricultural mechanization policies and strategies that have bearing on irrigation development and practice.
Candidates seeking admission into M.Phil. in Irrigation Technology must have obtained a good bachelor degree at least Second Class Lower Division or better from a recognised institution or Cumulative Grade Point (CGPA) of 2.5 on a 1 - 4 scale or its equivalence in agriculture or related field. Considerable working experience preferably in Agriculture is desirable but not required. A considerable working experience will be an advantage but not a prerequisite. Candidates for M.Phil IrrigationTechnology must possess a good first degree in agriculture with a significant amount of engineering to be admitted into the programme.
Not Published
Not Published
Numerous entrepreneurial opportunities thus exist in the agriculture sector for graduates from the programme. There are several government support projects for such industries that could be accessed. The programme also exposes students to operations management, which makes it possible for them to pursue careers in industries beyond the agricultural sector. Opportunities include the following:
- Business start-up in agro-processing
- Employment with food processing companies such as Nestle, Unilever, Blue Skies etc
- Food and nutrition experts at hospitals
- Employment by NGOs engaged in food processing interventions
- University Lecturers and Researchers in postharvest technologies
- Exporter of processed foods
-
Candidates for the programme must have passes in the following core subjects:
English, Mathematics and Integrated Science. -
In addition to the above, candidates must have passes not below Grade C in elective subjects under options 1 or 2 below:
- OPTION 1: General Agriculture, Chemistry, Physics/Elective Mathematics
- OPTION 2: Biology, Chemistry, Physics/Elective Mathematics.
- Candidates who fail to meet above minimum requirements but who register and pass the Remedial Agriculture Programme organised by the University.
- HND holders of Agricultural Engineering (Post-Harvest Technology option) with a Second Class Upper Division or higher from a Polytechnic, or Diploma holders from a recognized University will be considered for admission and placed at Level 200 after successfully passing an interview.
You can also find job in the following institutions o Ministry of Food and Agriculture o Agricultural Research institutions such as Council for Scientific and Industrial Research (CSIR), Cocoa Research Institute of Ghana o Banks as Project Officers o NGOs as Project Managers o Agricultural Extension officers o Food and Agricultural Organization as agricultural experts in crops, soils, animals and agricultural mechanization. o Ghana Education Service as Teachers Graduates from the programme can also establish their own successful commercial farm
WASSCE and SSCE Holders The School of Agriculture offers a 4-year general B.Sc. Agriculture programme for applicants coming in with a WASSCE or SSCE background. To qualify for admission into the programme: Candidates must possess Credit passes (C6 for WASSCE and D for SSCE) in the 3 Core subjects (English Language, Mathematics and Integrated Science/Social Studies) and 3 Elective subjects; In addition, candidates must have Credit passes in three (3) Elective Subjects under any of the options listed below:
OPTION ONE: General Agriculture, Chemistry and any one other Science/Agriculture subject OPTION TWO: Chemistry, Biology and Physics/Elective Mathematics OPTION THREE: Any three subjects from the following Agricultural Science Electives – General Agriculture, Crop Husbandry and Horticulture, Animal Husbandry, Fisheries and Forestry.
Candidates applying under Option Three will, as a School requirement, be considered for admission only after they pass a 6-week Remedial Science Programme organized by the University of Cape Coast during the long vacation period preceding the start of the academic year. The overall aggregate for 6 subjects, under all the options, must not exceed 36 (WASSCE) or 24 (SSCE).Post-Diploma Applicants The School of Agriculture also offers a 3-year Post-Diploma programme leading to the award of a B.Sc. (Agriculture) degree. Successful applicants join the regular B.Sc. (Agriculture) class at Level 200. To qualify for admission into the programme, candidates must satisfy all of the following requirements: Possess a Diploma in Agriculture or a related field, from a recognized University or Polytechnic Must have Credit passes (WASSCE or SSCE) in English Language and Mathematics; OR should have passed the Mature Entrance Examinations organized by the University of Cape Coast.
In addition, candidates are expected to pass a selection interview.Candidates must include with their completed Application Forms, certified copies of all certificates and academic transcripts relevant to their application for verification purposes.
The Department of Sociology, in 2003, successfully introduced a sandwich certificate programme in Social Behaviour and Conflict Management, directed at sections of Ghana’s protection and security services. The students of the Certificate programme requested an upgrade to the Diploma level, which they considered to be more realistic in terms of the requirements for their career advancement and marketability. In response the Certificate was phased out and the Diploma programme was introduced in June 2006.
There is a rising demand for the programme, due to the fact that graduates from its diploma programme have a need for further progression. Secondly middle and senior level officers of the protection and security services with higher qualifications have shown interest in a post diploma programme that covers the subject matter at higher levels. For the Department, the teaching of the Sandwich programmes will help to improve its expertise in Conflict Management and issues related to conflict, an emerging area that is relevant to Ghana and Africa in general.
Candidates applying for admission into the programme should have any of the following requirements:
Diploma in Social Behaviour and Conflict Management Related Diploma Certificates, such as:
Diploma in Labour Studies - CDS, UCC Diploma in Labour Studies – GIMPA, Legon Diploma in Social Work – UG,Legon
All the candidates should have obtained at least Second Class Lower at the Diploma Level.
All candidates will have to pass a selection interview.
In addition to the above requirements, applicants should have been working in a protection agency for a minimum of three years.
The Department of Sociology proposes a new programme in Anthropology to augment the Sociology programme currently in existence. This is in response to a growing need for students to become more conversant with the cultural heritage of themselves and others, and also to support the Faculty of Social Sciences in their efforts to train students in critical thinking, global awareness and good citizenship. The new Anthropology programme is designed to broaden and strengthen the already existing Department of Sociology, with the in-depth study of various cultures, across space and through time, which the discipline of Anthropology provides.
As the anthropological study of human origins and cultures has its roots in Africa, it seems only appropriate that Ghana should be in the forefront of such study. Currently there is increased interest in, and awareness of, the world’s interconnectivity. The ethnographic and qualitative methods historically a part of Anthropology provides good training in the understanding of the globalization process in all of its manifestations.
Anthropology has been taught in the Department over the years, but has never received the same attention as Sociology nor has it been fully developed. Redefining the direction of the Department in this way will expand the range of courses offered and extend its research and outreach possibilities, more fully developing the potential of Sociology and Anthropology and enhancing the offerings of the Faculty of Social Sciences.
The Department of Sociology and Anthropology shall continue to offer the current undergraduate and graduate programme in Sociology, and offer an undergraduate programme in Anthropology. A graduate programme in Anthropology will be developed when the undergraduate programme has sufficiently matured, possibly after four years.
The general aim of the programme is to produce graduate with the knowledge and skills in Anthropology
ObjectivesThe specific objectives of the programme are to:
- Equip students with the requisite ethnographic skills in Anthropology
- Develop the knowledge of students in the different perspectives/theories for the scientific explanation of cultural diversity
- Build the capacity of students to be creative, analytical and critical life-long thinkers and learners
Anthropologists study human behaviour and attitude. The discipline traces the evolution of humans, taking into account the history of how humans have evolved, how they look like now and how they are likely to look like in the future. Apart from evolution, cultural diversity, human relations, human biology, as well as human habitation are integral aspects of anthropology. It encompasses areas of social science, biological sciences, as well as natural sciences. The programme explores the meaning of symbols and practices that are found in nature, and relating them to the challenges that humans face on daily basis.
The programme trains students in methods and techniques needed to undertake research into human studies equipping them with analytical and critical reasoning skills. Both oral and written communication skills are integral aspects of studies. The programme also teaches students how to imagine and creatively reconstruct historical events to better understand past events relating to humankind. All kinds of seemingly unfamiliar areas are explored in anthropology. New trends of fashion, new emerging technology that is making life simpler for human kind, innovations that are shaping human health and nutrition, as well as new entertainment and lifestyle activities are all studied in the programme. This makes anthropology one of the broadest and exciting programmes of study.
Candidates must obtain passes in Core English, Core Mathematics and Integrated Science. In addition, candidates must have passes in two (2) of the following subjects: Economics, Geography, Mathematics/Statistics, Business Management, Government/History
In today’s increasingly complicated international business world, a strong preparation in the fundamentals of both economics and mathematics is crucial to success. Graduates can find work as economists, market research analysts, financial analysts, and financial planners, amongst several other rewarding career fields.
This programme combines the main contents of both economics and mathematics within a programmatic structure that joins the two disciplines. It applies mathematical methods to represent theories and analyse problems in economics. It is argued that mathematics allows economists to form meaningful, testable propositions about wide-ranging and complex subjects. In addition, the language of mathematics allows economists to make specific, positive claims about controversial or contentious subjects that would be impossible without it. Therefore a combination of both disciplines in a single programme ensures that our graduates enter the world of work with the requisite skills.
Applicants must obtain passes in Elective Mathematics and any two (2) of the following elective subjects: Physics, Chemistry, Economics, Biology and Technical Drawing. The minimum admission requirement into the University of Cape Coast for WASSCE applicants is aggregate 36. For SSSCE applicants, the minimum requirement is aggregate 24. NOTE For purposes of admission, a pass in (i) WASSCE means Grade: A1 – C6 (ii) SSSCE means Grade: A – D.