The Postgraduate College

Science / Mathematics

Overview

Degree awarded:

M.F.M

M.Phil

M.Phil/Ph.D

M.Sc

Ph.D

Programmes:

Master of Science in Mathematics

Master of Science in Mathematics (Algebra and Geometry)

Master of Science in Mathematics (Functional Analysis)

Master of Science in Mathematics (Dynamical Systems and Applications)

Master of Science in Mathematics (Numerical Analysis and Financial Mathematics)

Master of Science in Mathematics (Operations Research and Probability)

Field of interest:

Algebra and Geometry

Algebraic Geometry

Algebraic Topology

Dynamical Systems and Applications

Financial Mathematics

Functional Analysis

Harmonic Analysis

Mathematical Biology

Mathematical Modeling

Mathematical Programming

Measure and Probability Theory with Application to Stochastic Processes

Not Applicable

Numerical Analysis

Numerical Analysis and Financial Mathematics

Numerical Analysis/Financial Mathematics

Operation Research

Operations Research and Probability

Ordinary Differential Equations

Partial Differential Equations

Probability Theory

Entry requirements:

General Regulations Governing Admission to Higher Degree Programmes

Candidates for admission to higher degree programmes shall normally be graduates of the University of Ibadan or other Universities/Institutions recognised by the Senate. Admission shall be made by the Postgraduate College on the recommendation of the appropriate Faculty Postgraduate Committee.
Candidates without any previous higher degrees in the relevant discipline may be admitted only to either the Degree of Master or the Professional Degree of Master.
Candidates with recognised “Research Higher” Degree in the relevant discipline may be admitted to the M.Phil or Ph.D. degree programmes as appropriate, on the recommendation of the appropriate Faculty Postgraduate Committee.
A candidate admitted to the degree of Master of University of Ibadan who obtained a weighted average mark of 55.0 – 59.9%, or a CGPA of between 4.0 and 4.9 may be offered provisional admission to the M.Phil./Ph.D programmes. Such candidates shall be assessed within three semesters of full time and four semesters of part time registration for the M.Phil/Ph.D to Ph.D conversion. This shall also apply to students who graduated from other universities.

SPECIAL WAIVER FOR MATURED APPLICANTS

All University of Ibadan graduates should be admitted to Postgraduate programme with the ordinary level criteria existing at the time their first admission. Candidate who did not fulfill the requirements as at the time of their admission are not eligible for consideration.
Special consideration may be given to candidates, who obtained their first degree not less than 20 years from the time of seeking admission to any postgraduate programmes. Such candidates must have been found to possess special skills or abilities and professionally or academically engaged during the period of 20 years.

How to apply:

Apply online

Our Mathematics programme investigates numbers, quantities, structures, and patterns. Our Mathematics programme is a broad and fundamental discipline that plays a crucial role in various fields, including science, engineering, finance, technology, and more. The course overview for Mathematics typically covers a range of topics that build a strong foundation in mathematical theory and problem-solving skills. Here is a general summary of the course overview for Mathematics:

Calculus:

This course covers differential and integral calculus, including limits, derivatives, and integrals. Students learn how to analyze and solve problems involving rates of change, optimization, and accumulation.

Linear Algebra:

This course focuses on vector spaces, matrices, and linear transformations. Students learn about systems of linear equations, eigenvectors and eigenvalues, and applications of linear algebra in fields such as physics, computer science, and engineering.

Discrete Mathematics:

This course explores mathematical structures and concepts that are fundamentally discrete rather than continuous. Topics covered may include sets, logic, combinatorics, graph theory, and discrete probability.

Probability and Statistics:

This course introduces the fundamental principles of probability theory and statistical analysis. Students learn how to analyze data, estimate parameters, and make inferences based on probability distributions and statistical models.

Differential Equations:

This course focuses on ordinary and partial differential equations. Students learn techniques for solving differential equations and studying their applications in various scientific and engineering fields.

Real Analysis:

This course provides a rigorous study of the properties of real numbers and their functions. Students learn about limits, continuity, sequences, and series, as well as the foundations of mathematical proofs.

Numerical Methods:

This course introduces numerical techniques for solving mathematical problems that cannot be solved analytically. Students learn about numerical approximation methods, interpolation, numerical integration, and solving differential equations numerically.

Mathematical Modeling:

This course explores the process of formulating mathematical models to represent real-world phenomena. Students learn how to identify variables, formulate equations, and analyze the behavior of mathematical models in different contexts.

Algebraic Structures:

This course focuses on abstract algebraic structures, including groups, rings, and fields. Students study the properties of algebraic systems and their applications in cryptography, coding theory, and other areas.

Mathematical Logic:

This course introduces the foundations of mathematical logic, including propositional logic, predicate logic, and formal proof techniques. Students learn how to construct logical arguments and analyze the logical structure of mathematical statements.

Few/Some of the Course Content

MAT706	ALGEBRAIC TOPOLOGY
MAT799	PROJECT
MAT798	GENERAL AND PROBLEMS SEMINARS
MAT777	FUNCTIONAL ANALYSIS I
MAT753	INTRODUCTION TO MATHEMATICAL MODELLING
MFM711	MATHEMATICAL MODELS APPLIED TO RISK AND INSURANCE
MFM710	DISTRIBUTION THEORY
MFM709	SPECTRAL THEORY OF MARKOV CHAIN
MFM708	FINANCIAL MATHEMATICS IV MARTINGALE
MFM706	COMPUTATIONAL METHODS IN FINANCE
MFM707	FINANCIAL MATHEMATICS III CREDIT RISK MANAGEMENT
MFM705	STOCHASTIC NUMERICS
MFM704	STOCHASTIC CALCULUS FOR FINANCE
MFM703	FINANCIAL MATHEMATICS II FINANCIAL MARKETS
MFM702	FINANCIAL FINANCIAL I RISK NEUTRAL VALUATION PRICING AND HEDGING DERIVATIVES
MFM701	APPLIED PROBABILITY AND STOCHASTICS
MFM798	SEMINAR
MFM799	PROJECT
MAT752	THEORY OF DISTRIBUTIONS
MAT720	FUNCTIONAL ANALYSIS
MAT717	FUZZY THEORY
MAT711	LIE GROUPS
MAT710	HOMOLOGICAL ALGEBRA

Entry Requirement

General Admission Requirements for Higher Degree

The basic qualification for admission to all Postgraduate Courses and Programmes is a first degree of the University of Ibadan or degree/Higher National Diploma of other recognized Institutions in the relevant discipline. Where qualifications are not strictly in the area of admission, remedial courses, which may lead to additional periods of studentship, may be prescribed.
In addition to individual Departmental requirements, applicants must satisfy the ‘O’ Level first degree matriculation requirements of the University of Ibadan i.e five ‘O’Level credit passes at ONE sitting or 6 ‘O’ level credits at TWO sittings including English Language and subject areas for ALL disciplines and Mathematics for ALL Science-based disciplines, Educational Management and Economics and at least a pass in Mathematics for other Social Science Courses OR Holder of NCE must have credit passes in WASC or credit or merit passes in TC II (obtained between 1967 and 1981) in English Language and four other relevant matriculation subjects.
Candidates for the degree of M.Phil and Ph.D. are admitted in the first instance to the Degree of Master Programme. However, candidates who, in addition to a good first degree, and already holding acceptable postgraduate degrees, may be considered for direct admission to the M.Phil and Ph.D. Programmes.

INTERNATIONAL STUDENT ADMISSION REQUIREMENT

Candidate with recognized first degree or higher degree assessed to be at least equal or equivalent to the degree of Bachelor or Master of the University of Ibadan and as recognized by the University senate may be admitted to the Masters , M.Phil, M.Phil/Ph.D or Ph.D Programme on the recommendation of the appropriate Faculty Postgraduate Committee
All applicants for the Postgraduate Diploma, Degree of Masters and Professional Master are require to take Test of Proficiency in English Language. A. minimum score of 40 percent must be attained before applicants could be eligible to be shortlisted by the admitting Departments, Schools, or Institutes.

Facilities

Career Path

Obtaining a higher degree in mathematics opens up a wide range of career opportunities in various fields. Here are some potential career paths for individuals with higher degrees in mathematics:

Researcher:

With a higher degree in mathematics, you can pursue a career as a mathematician or research scientist. You may work in academic institutions, research laboratories, or government agencies, conducting advanced mathematical research and contributing to the development of new theories and applications.

University Professor:

Higher degrees in mathematics qualify you for teaching positions at universities and colleges. As a professor, you can educate and mentor students, conduct research, and publish scholarly work.

Data Scientist:

The field of data science relies heavily on mathematical skills. With a higher degree in mathematics, you can work as a data scientist, analyzing large datasets, developing statistical models, and extracting insights to drive decision-making in various industries.

Quantitative Analyst:

Quantitative analysts, also known as "quants," use mathematical and statistical techniques to analyze financial markets, develop trading strategies, and assess investment risks. With advanced mathematical knowledge, you can work in financial institutions, hedge funds, or investment firms.

Actuary:

Actuaries use mathematical and statistical models to assess and manage risks, particularly in the insurance and finance sectors. With a higher degree in mathematics, you can pursue a career as an actuary, analyzing data, calculating probabilities, and determining insurance premiums and pension plans.

Operations Research Analyst:

Operations research analysts apply mathematical modeling and optimization techniques to solve complex problems in industries such as logistics, supply chain management, and manufacturing. They help organizations improve efficiency, make informed decisions, and optimize resource allocation.

Cryptographer:

Cryptographers use mathematical principles and algorithms to develop secure encryption systems and protect sensitive information. With a higher degree in mathematics, you can work in cybersecurity, cryptography research, or government agencies focusing on national security.

Software Engineer:

Mathematics provides a strong foundation for computer programming and algorithm development. With advanced mathematical knowledge, you can work as a software engineer, developing mathematical models, designing algorithms, and implementing computational solutions.

Consultant:

Many consulting firms value individuals with strong analytical and problem-solving skills. With a higher degree in mathematics, you can work as a consultant, helping businesses solve complex problems, optimize processes, and make data-driven decisions.

Entrepreneur:

With a higher degree in mathematics, you have the option to start your own business or work as a freelance consultant. Your strong analytical and problem-solving abilities can be applied to various industries, such as finance, technology, or data analytics.

It's important to note that these career paths are not exhaustive, and there are many other opportunities available to individuals with higher degrees in mathematics. The specific career path you choose will depend on your interests, skills, and personal goals.

Supervisor(s)

Fees

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