B.Sc. Industrial Mathematics
Course Outline
Industrial Mathematics is an inherently interdisciplinary field. This programme combines modules from mathematics, computing and engineering disciplines to provide you with better understanding of contemporary and advanced mathematical and computational techniques, and their practical application across a wide spectrum of industrial disciplines such as business, computer science and engineering, and trains mathematics students how to apply mathematical analysis to problems arising mainly from Industry.
A degree programme in Industrial Mathematics will aim to:
- To develop the ability to apply their mathematics knowledge and skills to the solution of theoretical and practical problems in mathematics
- To develop a range of transferable skills of value in mathematical related and non-mathematical related employment
- To generate an appreciation of the importance of mathematics in an industrial, economic, environmental and social context.
- To develop high technical abilities in the applications of mathematical solutions to real-world and industry problems
Career options may include the following: mathematician, Data Analyst, Epidemiologist, Quantitative Analyst, Financial Analyst, Risk Analyst or Business Analyst to name but the most in need examples.
Basic Admission Requirements
There are three different pathways by which candidates can be admitted into the programmes in the discipline: the Unified Tertiary Matriculation (UTME), the Direct Entry, and Inter-University Transfer.
Unified Tertiary Matriculation Examination (UTME)
Admission through U.M.E. shall take the student to 100 level. To be eligible for admission, candidate is expected to pass both the UTME and the University screening test. The candidate must have in addition a minimum of credit pass in five subjects at not more than two sittings in SSCE, NECO or GCE (ordinary level). The credit passes are required in the following subjects: English language, Mathematics, Chemistry, Physics and Biology/Agric. Science. The UTME subjects are: English Language, Physics, Mathematics and Chemistry.
Direct Entry
Candidates with two A level passes (graded A-E) at the Advanced Level in one or more relevant subjects (Mathematics, Further Mathematics, Physics and Chemistry) or good diploma in Mathematics, Physics and Engineering are eligible to undertake the three- year degree programme with entry at 200-level.
Inter-University Transfer Mode
Students can transfer into 200-Level courses provided they have the relevant qualifications and the requisite CGPA.
Course Structure
Course Structure at 100 Level: Industrial Mathematics
| Course Code | Course Title | Units | Status | LH | PH |
| MTH 101 | Elementary Mathematics I | 3 | C | 45 | |
| MTH 102 | Elementary Mathematics II | 3 | C | 45 | |
| MTH 103 | Elementary Mathematics III | 3 | C | 45 | |
| STA 101 | Probability I | 3 | C | 45 | |
| PHY 101 | General Physics I | 3 | C | 45 | |
| PHY 102 | General Physics II | 3 | C | 45 | |
| PHY 103 | General Physics III | 3 | C | 45 | |
| CHM 101 | General Chemistry I | 3 | C | 45 | |
| BIO 101 | General Biology I | 3 | C | 45 | |
| GST 101 | Use of English | 2 | C | 30 | |
| CSC 101 | Introduction to Computer Science | 2 | C | 30 | |
| LIB 101 | Library Studies | 2 | C | 30 | |
| Total | 33 |
Course Structure at 200 Level: Industrial Mathematics
| Course Code | Course Title | Units | Status | LH | PH |
| MTH 201 | Mathematical Methods I | 3 | C | 45 | |
| MTH 202 | Elementary Differential equations I | 3 | C | 45 | |
| MTH 203 | Sets Logic and Algebra I | 3 | C | 45 | |
| MTH 204 | Linear Algebra I | 2 | C | 30 | |
| MTH 205 | Linear Algebra II | 2 | C | 30 | |
| MTH 207 | Real Analysis I | 3 | C | 45 | |
| CSC 201 | Computer Programming I | 4 | C | 60 | |
| MTH 209 | Introduction to numerical analysis | 3 | C | 45 | |
| STA 211 | Probability II | 4 | C | 60 | |
| GST 01 | Communication Skills | 2 | C | 30 | |
| GST 202 | Nigerian People and Culture | 2 | C | 30 | |
| EPS 201 | Entrepreneurship Studies I | 2 | C | 30 | |
| MTH 210 | Vector Analysis | 2 | C | 30 | |
| Total | 37 |
Course Structure at 300 Level: Industrial Mathematics
| Course Code | Course Title | Units | Status | LH | PH |
| MTH 311 | Introduction to Industrial Mathematics | 3 | C | 45 | |
| STA 321 | Distribution Theory III | 2 | C | 30 | |
| MTH 302 | Ordinary Differential Equations II | 3 | C | 45 | |
| MTH 315 | Financial Mathematics | 3 | C | 45 | |
| MTH 316 | Introduction to Operations Research | 3 | C | 45 | |
| MTH 312 | Mathematical Computing I | 3 | C | 30 | 15 |
| MTH 319 | Numerical Analysis I | 3 | C | 30 | 15 |
| MTH 308 | Mathematical Modelling I | 3 | C | 45 | |
| MTH 320 | SIWES | 8 | C | 120 | |
| EPS 301 | Entrepreneurship Studies II | 2 | C | 30 | |
| Total | 34 | ||||
| Elective Courses | |||||
| MTH 309 | Discrete Mathematics | 3 | E | 45 | |
| MTH 319 | Mathematical Computing II | 3 | E | 45 | |
| STA 311 | Probability III | 3 | E | 45 | |
| Total | 9 |
Electives should be selected from Year III courses in Physics, Computer Science, Economics and Accounting.
Course Structure at 400 Level: Industrial Mathematics
| Course Code | Course Title | Units | Status | LH | PH |
| MTH 425 | Control Theory and Project Management | 2 | C | 30 | 15 |
| ST A 431 | Statistical Inference III | 2 | C | 30 | |
| MTH 427 | Classical Mechanics I | 3 | C | 45 | |
| MTH 423 | Mathematical Modelling II | 3 | C | 45 | |
| MTH 401 | Theory and Applications of Ordinary Differential Equations | 3 | C | 45 | |
| MTH 402 | Theory and Applications of Partial Differential Equations | 3 | C | 45 | |
| MTH 424 | Control Theory and Optimization | 3 | C | 30 | 15 |
| MTH 417 | Numerical Analysis II | 3 | C | 45 | |
| MTH 424 | Mathematical Computing II | 3 | C | 45 | |
| MTH 428 | Classical Mechanics II | 3 | C | 45 | |
| MTH 404 | Project | 6 | C | 90 | |
| MTH 427 | Optimization Theory | 3 | C | 45 | |
| MTH 406 | Special Topics in Industrial Mathematics | 2 | C | 30 | 15 |
| Total | 39 | ||||
| Elective Courses | |||||
| MTH 408 | Classical Mechanics | 3 | E | 45 | |
| MTH 413 | Fluid Dynamics | 3 | E | 45 | |
| MTH 414 | Elasticity | 3 | E | 45 | |
| MTH 415 | Systems Theory | 3 | E | 45 | |
| MTH 426 | Theory and Applications of Neural Networks | 3 | E | 45 | |
| Total | 15 |
Electives should be selected from Year IV courses in Mathematics, Physics, Computer Science, Economics and Accounting.
Course Curriculum
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