Degree Type:
Master of EducationDepartment:
Department of Mathematics and ICT EducationModes of Study:
SandwichAbout Programme:
The goal of the programme is to prepare mathematics educators competent in both subject matter knowledge and classroom instruction at college of education level through graduate level coursework in mathematics and mathematics education; technological methodologies applicable to mathematics teaching and learning; pedagogical content knowledge and issues needed effective mathematics teaching and learning.
Entry Requirements:
Applicants to the M.Ed (Mathematics Education) degree should either be:
(a) holders of B.Ed [Mathematics Education] or B.Ed [Mathematics] with preferably second class lower division or higher from a recognised university. (b) holders of BSc (Hons) in a relevant mathematics, statistics or mathematics and statistics and a Postgraduate Certificate in Education (PGCE)/Postgraduate Diploma in Education
Career Opportunities:
Being a mathematics teacher also opens bigger avenues in private home teaching for pupils whose parents can afford it. The training the programme offers makes it possible for learners to easily veer into accounting, costing, and banking careers, apart from the career opportunities available in the pharmaceutical and mechanised industry operations for mathematicians.
Programme Structure
Level 800
First Semester
EMA 202S: Advanced Algebra and Calculus
The course will examine algebra of sets, relation, mapping and functions. It will also examine the techniques of differentiation applied to various functions.
The course is designed to build upon students’ Algebra and Calculus already learnt at SHS and also to introduce them to some additional topics that are prerequisite for
higher courses in Algebra as well as Calculus
EMA 402S: Teaching Problem Solving in Mathematics Education
It is designed to expose students to mathematical problem solving techniques. It will also help students to use their experiences to examine theories of problem solving abilities in mathematics. Appropriate pedagogical techniques for a mathematical problem solving at specific grade and ability levels would be examined. The course will also explore the incorporation of problem solving in school mathematics curriculum and will consequently help students to deliver the secondary school mathematics syllabus appropriately in future, since nearly all topics in the syllabus include solving word problems as activities.
EMA 801S: Philosophy of Mathematics
The course will examine various philosophies of mathematics and their implications for their definitions of mathematics, the development of mathematics, the structure and nature of some branches of mathematics, abstraction, symbolism, induction, deduction, mathematical logic, proofs and models in mathematics
EMA 802S: Theoretical Basis for Teaching Mathematics
This course will examine various psychological theories which underpin effective teaching and learning of mathematics
EMA 805S: Research Methods in Mathematics Education
The course aims to develop knowledge and skills of mathematics educators who are able to conduct research to improve teaching and learning in schools and other educational settings.
EMA 809S: Sampling Techniques and Survey
This course focuses on the application of statistical methods to educational problems
EMA 851S: Statistical Methods in Mathematics Education
This course is a balanced study between theoretical researched-based foundations and applications of statistical methods for analyses of quantitative and qualitative research data.
Level 850
Second Semester
EMA 310S: Vectors and Mechanics
This course introduces students to elementary vector algebra and its applications in solving routine problems in geometry and mechanics
EMA 312S: Implementing Secondary School Mathematics Education
This course will offer the opportunity for students to learn issues relating to the Senior High School curriculum
EMA 803S: Development of Curriculum in Mathematics Education
This course is designed to expose students to contemporary issues in curriculum studies and development in mathematics education. The opportunity will be given to students to engage in some of the current complicated discourses in curriculum development, implementation, supervision and evaluation.
EMA 804S: Researching in Problems Solving in Mathematics Education
The course will explore various notions of problems, problem-solving, problem posing, and teaching of problem solving from multiple research perspectives.
In particular, it will focus on cross-discipline perspectives of problem-solving research at the high school and college levels. Themes and directions in problem solving research will also be discussed
EMA 806S: Advanced Study of Teaching Elementary School Mathematics
The course aims to provide a detailed study and evaluation of recent research developments within the fields of learning, perception and cognition, and guide students to consider the implications of these recent advances on mathematics instruction. Specifically, the models of strategies of learning and teaching that will be developed in the course will enable students to put some of the advanced ideas in learning to the test by tackling some real problems encountered in the day to day life of the mathematics teacher.
EMA 812S: Computer Application in Mathematics Education
The course will provide students opportunities to develop their Technological Pedagogical Content Knowledge (TPACK) and skills to design, enact and evaluate ICT-based lessons using a variety of ICT tools that support different teaching and learning strategies. Students will gain enough computer knowledge such as Office Suite, EndNotes, Qualitative and Quantitative Data Analysis software to complete their thesis and oral examination
EMA 853S: Advanced Assessment in Mathematics Education
The course is intended to deal with the assessment of cognitive, psychomotor and affective development of students and perspectives of assessment of mathematics teaching and learning
EMA 898S: Time Series Analysis
The Course will review techniques that are useful for analyzing time series data, that is, sequences of measurements that follow non-random orders