B.Sc. Industrial Mathematics


by adunedu
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0 Lessons

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.

 

Lessons

Bitnami