Mathematics and Computing
Science Research
Data Analysis
STEM Education

Mathematical Sciences

Pure Mathematics, Applied Mathematics & Statistics

Department of Mathematical Sciences

School of Physical Sciences (SPS) • Federal University of Technology, Akure

Pure Mathematics Applied Mathematics Statistics Computational Mathematics Mathematical Modeling Data Science

About the Department

The Department of Mathematical Sciences at the Federal University of Technology, Akure (FUTA), within the School of Physical Sciences, is dedicated to advancing mathematical knowledge and cultivating competent professionals capable of applying mathematical principles to complex real-world problems. Our department equips students with rigorous mathematical training combined with practical computational skills essential for careers in academia, industry, finance, technology, and research.

Mathematical Sciences encompasses pure mathematics, applied mathematics, and statistics—disciplines that form the foundation of modern science, technology, engineering, and commerce. Our comprehensive curriculum integrates theoretical foundations with computational applications, covering algebra, analysis, geometry, differential equations, optimization, probability theory, statistical inference, numerical methods, and mathematical modeling. Students develop expertise in mathematical problem-solving, analytical thinking, logical reasoning, and computational implementation.

The department features modern computing facilities including computer laboratories with mathematical software (MATLAB, Python, R, Mathematica), statistical analysis packages, and specialized mathematical computing tools. We maintain active collaborations with industries, research institutes, and international academic institutions, providing students with research opportunities, internships, and exposure to cutting-edge applications of mathematics in finance, data science, engineering, and scientific research.

Graduates of Mathematical Sciences are highly valued professionals across diverse sectors. They work as data scientists, actuaries, quantitative analysts, operations researchers, software engineers, mathematics educators, research scientists, and technology consultants. Our alumni contribute significantly to innovation in financial technology, data analytics, artificial intelligence, software development, and scientific research. The mathematical foundation our graduates receive prepares them to tackle emerging global challenges in an increasingly data-driven and computationally complex world.

What We Offer

Academic Programs

  • B.Sc in Mathematical Sciences - 5-year undergraduate program
  • M.Sc in Mathematical Sciences - Postgraduate specialization program
  • Ph.D in Mathematical Sciences - Advanced research degree

Core Focus Areas

  • Pure Mathematics & Algebra
  • Analysis & Real Analysis
  • Differential Equations
  • Numerical Analysis & Methods
  • Statistics & Probability
  • Optimization & Operations Research
  • Mathematical Modeling
  • Computational Mathematics

Computing Facilities

Cyber Security Laboratory

State-of-the-art lab with 30 desktop computers, smart televisions, servers, switches, and networking equipment for cybersecurity training and research

Computer Resource Centre (CRC)

Central computing infrastructure providing internet services, system administration, network management, and technical support for the university

School of Computing Labs

Dedicated computing facilities for software engineering, programming, database design, web development, and computer science education

Central Research Laboratory

Advanced research facility with state-of-the-art equipment (HPLC, Spectrometer, Freeze Dryer) for scientific research and computational analysis across disciplines

Akure Tech Hub

Innovation and entrepreneurship hub supporting tech startups, digital innovation, and technology-driven business development initiatives

ICT Hub & Infrastructure

Fiber-optic networks, data centers, broadband connectivity, and modern ICT infrastructure supporting academic and research computing needs

Research Focus Areas

The Department of Mathematical Sciences at FUTA conducts cutting-edge research across diverse mathematical disciplines, offering both M.Tech. and Ph.D. programmes with specialized research options:

Dynamics of Structure & Solid Mechanics

Advanced research in structural mechanics, stress analysis, deformation theory, elasticity, plasticity, and computational mechanics of materials. Application to engineering design and safety analysis.

Numerical Methods in Ordinary Differential Equations (ODEs)

Development and analysis of numerical algorithms for solving ODEs, including Runge-Kutta methods, multistep methods, stability analysis, and applications to dynamical systems and scientific computing.

Fluid Mechanics & Computational Fluid Dynamics

Mathematical modeling of fluid flow phenomena, Navier-Stokes equations, turbulence modeling, numerical simulation of fluid dynamics, aerodynamics, and applications in engineering and environmental problems.

Optimization & Operations Research

Linear programming, nonlinear optimization, constrained optimization, game theory, decision theory, resource allocation, and industrial applications in operations management and economic analysis.

Pure Mathematics

Algebra, number theory, topology, geometry, set theory, and abstract mathematical structures. Foundational research contributing to theoretical mathematics and its applications across disciplines.

Mathematical Statistics & Econometrics

Statistical inference, hypothesis testing, multivariate analysis, experimental design, econometric modeling, time series analysis, and applications in economic and social sciences research.

Industrial Mathematics & Applied Mathematics

Mathematical modeling of real-world systems, application of mathematics to industrial problems, optimization in manufacturing, logistics, and technology-driven solutions for industry 4.0.

Complex Analysis & Functional Analysis

Theory of complex functions, conformal mapping, residue calculus, functional analysis, Hilbert spaces, operator theory, and applications in quantum mechanics and signal processing.

Computational Mathematics & Scientific Computing

Numerical linear algebra, matrix computations, approximation theory, finite element methods, computational algorithms, and high-performance computing for solving complex mathematical problems.

Data Science & Mathematical Modeling

Data analytics, mathematical modeling of biological and physical systems, machine learning applications, statistical learning theory, and computational approaches to real-world problem solving.

Postgraduate Programs & Specializations

M.Tech. Industrial Mathematics

  • ✓ Dynamics of Structure (Solid Mechanics)
  • ✓ Numerical Methods in ODEs
  • ✓ Fluid Mechanics
  • ✓ Optimization

Ph.D. Mathematics

  • ✓ Dynamics of Structure (Solid Mechanics)
  • ✓ Numerical Methods in ODEs
  • ✓ Fluid Mechanics
  • ✓ Optimization & Operations Research

M.Tech. Statistics

  • ✓ Econometrics
  • ✓ Mathematical Statistics
  • ✓ Operations Research
  • ✓ Experimental Design & Multivariate Analysis

Ph.D. Statistics

  • ✓ Econometrics
  • ✓ Mathematical Statistics
  • ✓ Operations Research
  • ✓ Applied Statistical Methods

Career Opportunities

Mathematical Sciences graduates from FUTA are highly sought-after professionals with diverse career paths across multiple industries. With strong analytical and problem-solving skills, graduates command competitive salaries and enjoy excellent career growth prospects globally.

High-Demand Career Paths

Data Scientist

Analyze complex datasets to derive actionable insights, develop predictive models, and guide strategic business decisions.

Avg. Salary: $97,579 - $139,735

Industries: Tech, Finance, Healthcare, E-commerce

Actuary

Assess and manage financial risk using mathematics and statistics in insurance and pension sectors.

Avg. Salary: $123,180 - $110,000+

Growth: 22% projection (2023-2033)

Quantitative Analyst (Quant)

Develop financial models, assess investment risks, and create sophisticated trading strategies using mathematical expertise.

Avg. Salary: $123,823 - $150,000+

Sectors: Investment Banking, Hedge Funds, FinTech

Software Engineer / Developer

Develop algorithms, computational solutions, and complex software systems using strong mathematical foundations.

Avg. Salary: $80,000 - $150,000+

Industries: Tech, Startups, Enterprise Software

Operations Researcher

Optimize business operations, resource allocation, and supply chain efficiency using advanced analytical methods.

Avg. Salary: $82,360 - $120,000

Growth: 23% projection (2023-2033)

Research Scientist

Conduct cutting-edge mathematical and computational research in academia, government labs, and private R&D institutions.

Avg. Salary: $75,000 - $130,000+

Sectors: Academia, Government, Tech Companies

Mathematics Educator

Teach mathematics at secondary, tertiary, and professional development levels. Curriculum developer and educational consultant.

Avg. Salary: $40,000 - $80,000

Sectors: Schools, Universities, EdTech Companies

AI/ML Specialist

Develop artificial intelligence and machine learning systems for autonomous systems, NLP, computer vision, and automation.

Avg. Salary: $120,000 - $180,000+

Industries: Tech Giants, AI Startups, Enterprise

Management Consultant

Provide strategic business consulting, optimization analysis, and problem-solving expertise to Fortune 500 companies.

Avg. Salary: $90,000 - $180,000+

Firms: McKinsey, BCG, Deloitte, Accenture

Industry-Specific Opportunities

💰 Finance & Banking

  • ✓ Financial Analyst ($81,410)
  • ✓ Risk Manager
  • ✓ Investment Analyst
  • ✓ Forex/Derivatives Trader
  • ✓ Portfolio Manager

💻 Technology & IT

  • ✓ Data Engineer
  • ✓ Systems Analyst ($93,730)
  • ✓ Database Administrator ($110,096+)
  • ✓ Information Security Manager
  • ✓ Cloud Solutions Architect

📊 Analytics & Business Intelligence

  • ✓ Business Analyst ($96,969)
  • ✓ BI Analyst ($98,230)
  • ✓ Market Research Analyst ($63,920)
  • ✓ Marketing Analyst
  • ✓ Budget & Performance Analyst

🏭 Engineering & Manufacturing

  • ✓ Systems Engineer
  • ✓ Process Optimization Engineer
  • ✓ Quality Control Analyst
  • ✓ Supply Chain Analyst
  • ✓ Production Planner

🏥 Healthcare & Biotech

  • ✓ Healthcare Data Analyst ($64,449)
  • ✓ Biostatistician
  • ✓ Clinical Trial Data Analyst
  • ✓ Health Economics Analyst
  • ✓ Epidemiologist

🌍 Government & Public Sector

  • ✓ Statistical Researcher
  • ✓ Policy Analyst
  • ✓ Intelligence Analyst
  • ✓ Government Scientist
  • ✓ Budget Analyst ($78,970)

Specialized & Emerging Roles

Economist/Econometrician

Analyze economic trends, conduct econometric modeling, policy analysis, and forecasting for government and institutions

Logistics & Supply Chain Manager

Optimize supply chains, inventory management, and route optimization using advanced mathematical models

Fraud & Risk Analyst

Detect financial fraud patterns, assess credit risk, and develop risk mitigation strategies ($53,791 - $86,170)

Climate/Environmental Scientist

Model climate change, weather prediction, environmental impact assessment using computational mathematics

Insurance Underwriter

Assess insurance risk, set premiums, and manage claims using statistical methods ($76,390)

Project Manager (Data/Tech)

Lead data science and tech projects with strong analytical and organizational expertise ($107,292+)

Employment Outlook & Growth Projections

📈 Strong Growth Sectors

  • Data Science/AI: 30%+ growth (2024-2034)
  • Actuary Roles: 22% growth (2023-2033)
  • Operations Research: 23% growth (2023-2033)
  • STEM Occupations: 10.4% growth by 2033
  • 82,000 new jobs projected in math occupations (2021-2031)

💼 Global Demand & Salary

  • Median STEM Salary: $103,580 (vs. $49,500 all-occupation average)
  • Top Employers: Meta, Google, Amazon, Apple, Facebook
  • Job Growth Rate: Much faster than average for all occupations
  • Salary Range: $60,000 - $180,000+ depending on role & experience
  • Professional Demand: Math experts needed across all industries

Entrepreneurship & Self-Employment

Mathematical Sciences graduates have excellent opportunities for entrepreneurial ventures:

✓ Data Analytics Consulting

Offer statistical analysis and research support to companies, dissertations, and market research firms

✓ Freelance Data Science

Build independent data science and analytics business serving multiple clients globally

✓ EdTech Startup

Create online learning platforms, tutoring services, and educational software for mathematics

✓ AI/ML Product Development

Develop AI-powered solutions and machine learning products for niche markets

✓ Fintech Innovation

Build financial technology solutions, investment platforms, and algorithmic trading systems

✓ Consulting Firm

Establish management consulting or business analytics consulting firm serving corporations

Course Materials & Resources

Access comprehensive mathematical sciences materials, problem sets, computational guides, and research resources organized by academic level.

100 Level Resources - Foundational Mathematics

Core foundational courses in algebra, calculus, geometry, and mathematical logic.

First Semester

Essential Mathematics I

Set Theory, Logic, Algebra, Differential Calculus, Analytic Geometry.

Access Offline Study Packs

Second Semester

Essential Mathematics II

Integral Calculus, Linear Algebra, Probability, Vectors & Matrices.

Go to Offline Study Packs
First Year Foundation

100 Level establishes mathematical foundations. Courses cover rigorous mathematics, problem-solving techniques, and computational basics essential for advanced mathematical study.

MTS 101 Circular Measure

Angular measurement and radian concepts

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MTS 101 Mathematical Induction

Proof techniques and inductive reasoning

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MTS 101 Set Theory

Sets, relations, and mathematical logic

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MTS 101 +++ (LEGACY)

Comprehensive fundamentals reference material

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MTS 101 Assignments - Questions and Answers

Practice problems with complete solutions

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MTS 101 Binomial Theorem

Expansion and polynomial applications

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MTS 101 Mathematical Induction (2)

Advanced induction techniques and proofs

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MTS 101 Mathematical Induction Examples

Worked examples and applications

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MTS 101 Past Questions and Answers

Previous examination papers with solutions

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MTS 101 Sequence and Series (LEGACY)

Series convergence and summation techniques

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MTS 101 Set Theory Notes

Comprehensive set theory lecture notes

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MTS 101 Trigonometry

Trigonometric functions and identities

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MTS 101 (C)

Course materials and core concepts

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MTS 101 Sequence and Series

Arithmetic and geometric progressions

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MTS 101 Solutions on Sequence and Series (LEGACY)

Detailed solutions for series problems

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MTS 101 Assignment (2019-2020)

Past assignment papers with solutions

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MTS 101 Lecture Note 1 (LEGACY)

First set of comprehensive lecture notes

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MTS 101 Objectives Solution (LEGACY)

Objective questions and answers

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MTS 101 Partial Fractions

Decomposition and integration techniques

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MTS 101 Plus Sequences and Series

Extended series and convergence theory

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MTS 101 Quadratic Equations and Polynomials

Polynomial equations and factorization

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MTS 101 Binomial Theorem (2)

Additional binomial expansion examples

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MTS 101 Combined Past Questions

Comprehensive past examination compilation

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MTS 104 Projectile Motion

Motion analysis and trajectory calculations

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MTS 102 Advanced Calculus Second Edition

Comprehensive calculus theory and applications

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MTS 102 Application of Integration Solution

Integration applications with worked solutions

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MTS 102 Application of Differential Equations

ODE applications and solutions

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MTS 102 Calculus Sample Questions

Practice problems for calculus mastery

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MTS 102 2024-2025 Assignment Solution (LEGACY)

Previous year assignment solutions

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MTS 102 Differential Equations

Ordinary differential equations and solutions

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MTS 102 2024-2025 Assignment (LEGACY)

Past assignment papers

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MTS 102 Multiple Choice Questions

Objective questions for assessment

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MTS 102 Application of Integration by Gabriel

Advanced integration applications

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MTS 102 Past Questions

Previous examination papers

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MTS 102 Limit and Continuity

Limit concepts and continuity theory

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MTS 102 Functions Summary (LEGACY)

Functions reference and key properties

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MTS 102 Techniques of Differentiation with Applications

Differentiation rules and practical applications

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MTS 104 Conic Sections

Ellipse, hyperbola, parabola properties

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MTS 104 Lecture Note

Comprehensive lecture notes

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MTS 104 Circle

Circle equations and properties

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MTS 104 Note

Study notes and key concepts

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MTS 104 Vectors and Geometry

Vector operations and geometric applications

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MTS 104 (2)

Additional course materials

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MTS 104 Conic Sections (2)

Extended conic sections theory

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MTS 104 Coordinate Geometry

Points, lines, and distance calculations

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MTS 104 Vector Questions

Vector practice problems and solutions

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MTS 104 Lecture Note Part 1

First lecture notes section

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MTS 104 Lecture Note Part 2

Second lecture notes section

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MTS 104 Lecture Note Part 3

Third lecture notes section

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MTS 104 Vectors (LEGACY)

Historical vector reference material

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MTS 102 Differential Equations (2)

Additional differential equations materials

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200 Level Resources

Specialized mathematical disciplines including analysis, differential equations, and applied mathematics.

Download 200 Level Materials

Real analysis, abstract algebra, ordinary differential equations, numerical methods.

Access Study Packs

MTS 201 Past Question (2011-2012)

Previous exam papers for comprehensive review

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MTS 201 Question and Answer

Worked solutions with detailed explanations

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MTS 201 Question and Answer 2

Additional solutions and practice problems

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MTS 203 3rd Test Solutions

Complete test solutions with step-by-step work

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MTS 203 (C)

Linear algebra fundamentals and applications

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MTS 203 Exam Question (2017-2018)

Past exam papers for exam preparation

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MTS 203 Past Test Solution

Detailed test solutions with comprehensive notes

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MTS 203 Past Question

Previous year examination papers

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MTS 205 Laplace Transform Notes

Transform methods and integral techniques

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MTS 207 An Introduction to Combinatorics

Counting principles, permutations, combinations

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MTS 207 Bell's Triangle and Graph Notes

Graph theory, network analysis, combinatorial structures

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MTS 207 Combinatorics Past Question (LEGACY)

Historical exam questions for practice

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MTS 209 1st

Differential equations fundamentals and methods

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MTS 209 2nd

Advanced differential equations topics

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MTS 209 (C)

Elementary differential equations course materials

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MTS 209 Past Questions

Previous examination papers and solutions

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MTS 203 Schaum's Outline of Linear Algebra

Comprehensive theory and solved problems

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MTS 209 Lecture Note (1) on Elementary Differential Equations

First set of comprehensive lecture notes

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MTS 209 Lecture Note (2) on Elementary Differential Equations

Second set of comprehensive lecture notes

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MTS 202 Calculus Linear Approximation Solutions

Linearization and Taylor series applications

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MTS 202 Curve Fitting

Data fitting techniques and regression analysis

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MTS 202 Schaum's Outline of Numerical Methods

Theory and solved problems in numerical analysis

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MTS 202 Notes

Comprehensive lecture notes and key concepts

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MTS 202 Numerical Methods

Computational algorithms and numerical techniques

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MTS 202 Numerical Methods (2)

Extended methods and additional techniques

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MTS 202 Numerical Methods by Rao V. (LEGACY)

Historical reference material

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MTS 202 Numerical Methods for Scientists and Engineers

Applied numerical analysis for practical problems

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MTS 202 Questions and Answers

Practice problems with complete solutions

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MTS 204 Test Solution

Complete test solutions with explanations

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300 Level Resources - Advanced Specialization

Advanced mathematical topics, research methods, and specialized applications.

Advanced Mathematical Theory

Complex analysis, partial differential equations, functional analysis, optimization.

Access 300 Level Resources

MTS 315 2020 Exam Solutions

Past examination solutions with detailed work

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MTS 315 Laplace Transform

Transform methods and integral techniques

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MTS 300 Level Past Questions

Comprehensive past examination papers

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MTS 303 Test Solutions

Complete test solutions with explanations

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MTS 303 Note

Lecture notes and key concepts

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Clear MTS 304

Comprehensive MTS 304 reference material

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MTS 304 Metric Space

Metric spaces, topology, and properties

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MTS 304 Assignment

Assignment problems and solutions

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MTS 304 Past Questions

Previous examination papers

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MTS 306 Past Questions and Answer

Exam papers with complete solutions

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MTS 306 Test (2020-2021)

Past test papers from 2020-2021

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MTS 306 Test Solution (LEGACY)

Historical test solutions

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MTS 308 Test Questions

Test questions and practice problems

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MTS 308 Worked Examples

Detailed worked examples and solutions

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MTS 308

Course materials and lecture notes

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MTS 310 MATLAB

MATLAB programming and computational methods

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MTS 313 First Test

First test paper and solutions

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MTS 316 Assignment Eugen

Assignment problems and worked solutions

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MTS 316 Fourier Series

Fourier analysis and series expansion

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MTS 316 Fourier Series (2)

Additional Fourier series materials

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MTS 316 Lecture Notes

Comprehensive lecture notes

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MTS 316 Note

Study notes and key concepts

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MTS 316 Eigen Functions

Eigenvalues, eigenvectors, and functional analysis

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MTS 316 Past Questions

Previous examination papers

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MTS 316 Test Questions

Test papers and practice questions

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400 Level Resources - Research & Capstone

Final year research, specialized electives, and professional development.

Research & Applications

Final year project, specialized electives, advanced computational techniques, professional practice.

Access 400 Level Resources

MTS 407 Discrete Mathematics

Discrete structures, logic, and combinatorics

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MTS 400 Past Questions

Comprehensive 400-level examination papers

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MTS 401 Measurable Functions

Measure theory and functional analysis

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MTS 401 Past Questions Solutions

Previous exams with complete solutions

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MTS 403 Test Questions and Answer Solutions

Test papers with worked solutions

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MTS 405 Test Solution

Test solutions with detailed explanations

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MTS 407 Revision Class

Revision materials and practice sessions

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MTS 409 Note

Lecture notes and study materials

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MTS 407 Assignment

Assignment problems and solutions

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500 Level Resources

Advanced courses, research materials, and specialized topics.

Research & Advanced Study

Advanced computational techniques, and research resources.

Access 500 Level Resources

MTS 501 Lecture Notes

Comprehensive graduate-level lecture notes

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MTS 501 Test

Graduate-level test papers

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MTS 505 Part Notes

Partial lecture notes and study materials

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MTS 511 Boundary Layer Proof

Boundary layer theory and mathematical proofs

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MTS 511 Dynamical Similarities

Dynamical analysis and similarity theory

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MTS 506

Graduate course materials and resources

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MTS 510 Revision

Revision materials for final assessment

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MTS 510

Advanced graduate course materials

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Admission Requirements

UTME Requirements

  • Minimum UTME score as set by JAMB and FUTA
  • Subject combination: English Language, Mathematics, and Physics (or Chemistry)
  • Five O'Level credit passes in no more than two sittings
  • O'Level credits must include: English, Mathematics, Physics, and one other science subject

Direct Entry Requirements (200 Level)

  • A'Level passes in Mathematics and Physics (minimum grade C)
  • ND Upper Credit in Mathematics or related discipline
  • GCE Advanced Level passes in science subjects
  • Plus O'Level requirements as stated above

General Departmental Books

Essential reference textbooks and comprehensive guides for Mathematical Sciences students across all levels.

Contact the Department

Department Office

Department of Mathematical Sciences
School of Physical Sciences
Federal University of Technology, Akure
PMB 704, Akure, Ondo State, Nigeria

gabriel@legacybygabriel.com.ng

+234 (0) 913-209-1205

Office Hours

Monday - Friday: 8:00 AM - 5:00 PM

Saturday: By Appointment

Sunday: Closed