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 nonmathematical 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 realworld 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 InterUniversity 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 AE) 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 200level.
InterUniversity Transfer Mode
Students can transfer into 200Level 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.