Department of Industrial Mathematics And Applied Statistics (IMAS) Programs

  1. Home
  2. Admissions
  3. PGD/ Masters/Doctoral Programs
  4. MSc/PhD Industrial Mathematics And Applied Statistics (IMAS)

Department of Industrial Mathematics And Applied Statistics (IMAS) Programs-(CAS Campus)

About Industrial Mathematics

The postgraduate programme in the Department of Mathematics is designed to provide students drawn from Nigeria, Africa and other parts of the world to an in-depth understanding and applications of the concepts of mathematical methods necessary for the solutions of real life problems. In addition to thorough coverage of the theoretical aspects of mathematics, the programme also emphasizes in-depth study of mathematical methods aimed at preparing the graduate for a career in teaching in post-secondary, applied research in educational, governmental or industrial institution.

About Applied Statistics

IMAS STAFF PROFILE

----

PGD, M.Sc/Ph.D COURSES OFFERED



FIRST SEMESTER
Course CodeCourse TitleCredit Units
MAT 710Mathematical Methods I3
MAT 701Real Analysis 3
MAT 716Ordinary differential equations3
 Electives12
 Semester Total21


A minimum of 12 units to be chosen from the following:


Course CodeCourse TitleCredit Units
STA 731Methods of Statistical Inference3
MAT 712Operations Research Method I3
MAT 713Mathematical Programming3
MAT 715Mathematical Modelling3
MAT 717Introduction to Functional Analysis3
MAT 718Numerical Method3
MAT 719Complex Analysis3
MAT 721Application of Optimization Theory3
MAT 731Continuum Mechanics3
MAT 732Fluid Dynamics3
MAT 733Discrete Mathematics 3
MAT 735Measure Theory3
SECOND SEMESTER
Course CodeCourse TitleCredit Units
MAT 720Mathematical Methods II3
MAT 724Partial Differential Equation 3
MAT 798Seminars and Field Works3
MAT 799Research Project6
 Electives9
 Semester Total24
 Grand Total45

A minimum of 12 units to be chosen from the following

Course CodeCourse TitleCredit Units
MAT 722 Operation Research Method II 3
STA 723 Introduction to Stochastic Processes 3
MAT 725 Lebesque Measure and Integration 3
MAT 727 Fluid Mechanics 3
MAT 728 Mathematical Theory of Elasticity 3
MAT 729 Integral Equations 3

AREAS OF SPECIALIZATION AND COURSES OFFERED


(a) Pure Mathematics
(b) Applied Mathematics
(c)Mathematical Statistics

First Semester
Compulsory Core Courses
Course CodeCourse TitleCredit Units
MAT 810Advanced Mathematical methods I3
MAT 811Advanced Numerical methods and Computation3
MAT 813Advanced Topics in Functional Analysis3
MAT 816Ordinary Differential equations3
 Elective9
 Semester Total21
A minimum of 12 Units to be chosen from the following  
Course CodeCourse TitleCredit Units
MAT 804Complex Analysis I3
MAT 806Integral Equations3
MAT 808Theory of Distributions3
MAT 812Finite Element Methods3
MAT 814Stochastic Models 13
STA 815Statistical Methods3
MAT 817Mathematical Methods in Economics and Finance3
MAT 818Mathematical Modelling I3
STA 819Design and Analysis of Experiment3
MAT 830Fluid Dynamics3
MAT 831Control Theory3
STA 831Statistical Inference 3
MAT 832Biomathematics3
MAT 833Elasticity3
MAT 834Algebra3
MAT 835Real Analysis3


Second Semester
Compulsory Core Courses   
MAT 827Advanced Mathematical Methods II3
MAT 828Partial Differential Equations3
MAT 898Seminar3
MAT 899Research Project6
 Electives9
 Semester Total24
 Grand Total45

A minimum of 9 Units to be chosen from the following
Course CodeCourse TitleCredit Units
MAT 820Mathematical Modelling II3
MAT 821Mathematical Programming3
MAT 822Optimal Control Theory3
STA 823Stochastic models II3
MAT 824Control Theory3
MAT 825Demographic Techniques3
MAT 826Advanced Topic in Operations Research3
STA 829Regression Analysis3
STA 824Time Series Analysis3
MAT 837Complex Analysis II3
MAT 838Asymptotic Methods3
MAT 839Mathematical Methods in Economics and Finance 3
MAT840Mathematical Biology3

The Ph.D programme in Industrial Mathematics provides advanced study and research that will enable students to extend their knowledge as well as create career/job opportunities in research, management data analysis, administration or education. The programme is so designed that students may obtain knowledge of Industrial Mathematics and Applied Statistics and sufficient in areas of specialization which will enable the completion of a thesis that will be a significant contribution to the field of study. The student is expected to take at least three advanced course work at the 800 level and carry out an advanced research work in any of the following areas of specialization.

  1. General Operations Research
  2. Mathematical Modelling
  3. Management Science
  4. Mathematics
  5. Mathematical Statistics
  6. Mathematical Optimisation

As such the duration of the programme shall not be less than 6 semesters (i.e 3 years) from date of first registration for the full-time Ph.D degree students and 8 semesters (i.e four years) for part-time students.


Post-graduate Diploma (PGD) in Statistics is intended to prepare the student for a stronger foundation in Statistics. The programme is primarily designed for non-statistics graduates with limited statistical background and who wish to further their knowledge with a view to becoming career Statistician working in Government, Industry, Research Organizations, Engineering and consulting Firms, Health Care Organizations, Public Utilities, and so on.

COURSES OFFERED FOR PGD
First Semester

Core Courses
Course CodeCourse TitleCredit Units
STA 711Introduction to Stochastic Processes3
STA 721Multivariate Analysis3
STA 731Statistical Inference3
 Electives12
 Semester Total21

A minimum of 12 units to be chosen from the following

Course Code Course TitleCredit Units
STA 701Biostatistics3
MAT712 Operations Research Method I3
MAT 713Mathematical Programming3
MAT715Mathematical Modelling3
STA 733Non-parametric Methods3
STA 741Quality Control and Practice 3
STA 753Econometrics3

Second Semester
Core Courses

Course CodeCourse TitleCredit Units
STA 712Probability Theory 13
STA 722Design and Analysis of Experiments3
STA 742Sample Survey Techniques3
STA 798Seminars and Field Works3
STA 799Research Project6
 Electives6
 Semester Total24
 Grand Total45

A minimum of 6 units to be chosen from the following

Course Code Course TitleCredit Units
STA 724Time Series Analysis 3
MAT 722Operation Research Method II3
STA 752Statistical Computing/Consulting 3
STA 734 Bayesian Inference 3
MAT 725 Lebesque Measure and Integration3
   
Minimum of 45 Credit Units 

MSc Programme in Statistics
The Master’s degree in Statistics is intended to equip the student for a career as an applied statistician working in government, industry, research organizations, engineering and consulting firms, health care organizations, public utilities, and so on.

COURSES OFFERED FOR MSC
First Semester

Core Courses
Course CodeCourse TitleCredit Units
STA 811Stochastic Processes3
STA 821Multivariate Analysis3
STA 813Probability Theory 13
STA 831Statistical Inference3
 Electives9
 Semester Total21
A minimum of 6 units to be chosen from the following

Course Code Course TitleCredit Units
STA 801 Biostatistics 3
STA 825 Advanced Statistical Theory 3
STA 833 Non-parametric and Sequential Methods 3
STA 841 Quality Control and Practice 3
STA 853 Econometrics 3

Second Semester

Core Courses
Course CodeCourse TitleCredit Units
STA 822Design and Analysis of Experiments3
MAT 816Operations Research3
STA 826Categorical Data Analysis3
STA 798Seminars and Field Works3
 Research Project6
 Electives6
 Semester Total24
 Grand Total45
A minimum of 6 units to be chosen from the following

Elective Courses
Course Code Course TitleCredit Units
STA 812 Probability Theory 11 3
MAT 826 Advanced Topic in Operations Research 3
STA 826 Categorical Data Analysis 3
STA 834 Bayesian Inference 3
STA 842 Sample Survey Techniques 3
STA 852 Statistical Computing/Consulting 3


Overview The PhD Program in Statistics provides students with a broad based course of study in applied statistics, theoretical statistics and probability, as well as numerous advanced topic courses. The breadth and depth of the program is intended to serve graduates well in their subsequent careers in academia, industry and government. The programme is also designed that students may obtain knowledge of Statistics and sufficient in areas of specialization which will enable the completion of a thesis that will be a significant contribution to the field of study. The student is expected to take at least three advanced course work at the 800 level and carry out an advanced research work in any of the following areas of specialization.

  1. Sampling Theory
  2. Design and Analysis of Experiments
  3. Categorical Data Analysis
  4. Biostatistics
  5. Quality Control
  6. Multivariate Analysis
  7. Mathematical Statistics
  8. Econometrics
  9. Time Series
  10. Operations Research

As such the duration of the programme shall not be less than 6 semesters (i.e 3 years) from date of first registration for the full-time Ph.D degree students and 8 semesters (i.e four years) for part-time students.

Basic Admission Requirements Candidate holding a Master degree with CGPA of at least 3.5 on a 5.0 point scale or 60% weighted average. All candidates must demonstrate adequate intellectual capacity, maturity and effective decision-making and problem solving potentials.

COURSES OFFERED

STA 910: Statistical Computing/Consulting (3 Credit Units)
STA 925 Advanced Statistical Theory (3 Credit Units)
STA 933 Non-Parametric and Sequential Methods (3 Credit Units)
STA 999: (6 Credit Units)
STA 911 Stochastic Processes (3 Credit Units)
STA 934 Bayesian Inference (3credit Units)
STA 921 Multivariate Analysis (3 Credit Units)
STA 924 Time Series And Application (3credit Units)

PGD ADMISSION REQUIREMENTS:

Candidates for admission into the PGD programme must possess EITHER
(a) A good first degree in mathematics with CGPA ranging from 2.50 to 2.99 on a 5 point scale (that is, 2.50 -2.99 on a 5.00 scale) or candidates that   hold a good first degree in courses other than mathematics from Universities recognized by Ebonyi State University.
(b) A (H.N.D) with credit level pass in the relevant areas. In addition to (a) and (b) above, the candidate MUST have at least 5 credits at the O' level in not more than two sittings at the WAEC/NECO.
These credits must include English Language, Mathematics, Physics and one of Chemistry, Biology or Economics.

MASTER OF SCIENCE (MSc) IN INDUSTRIAL MATHEMATICS /STATISTICS PROGRAMME

Admission Requirements:
Candidates for admission into the Masters programme, shall normally be holders of the degree of Bachelor of Science, Engineering, Science, Education and other degrees with reasonable mathematical content. Those candidates who possess an approved postgraduate diploma in Industrial Mathematics/Statistics or its equivalent may also be considered for admission.
Exceptionally mature or research person(s) currently engaged in scientific industrial concern may be considered on their own merit subject to approval by relevant authority. However, such candidates may be required to take some undergraduate diploma courses concurrently with courses taken during the master's degree programme.

Candidate for admission into the M.Sc programme MUST possess EITHER:
(a) A good second class honours degree (B.Sc) of Ebonyi State University with C.G.P.A of at least 3.00 on a 5-point scale or its equivalent on a 4-point scale. Candidates from other universities recognized by the Senate, and who have the above stipulated requirements are eligible to apply. OR
(b) A Bachelor's degree from a recognized university PLUS a PGD in the relevant area. OR
(c) Any other qualification as may be approved by the Senate of Ebonyi State University.

DOCTOR OF PHILOSOPHY (Ph.D) PROGRAMME

(a) Candidates for the degree of Ph.D MUST, in addition to having a good first degree, possess a Master of Science degree with a C.G.P.A of at least 3.50 on a 5-point scale in Mathematics of Ebonyi State University or its equivalent from any other University recognized by the Ebonyi State University Senate.

MODE AND DURATION OF STUDY

Post Graduate Diploma (PGD)

The PGD programme will run for a minimum of 12 calendar month's (i.e. 2 semesters) and for a maximum of 24 calendar months (i.e. 4 semesters.) on full time. The part time programme will run for a minimum of 3 semesters (i.e 18 months) and a maximum of 4 semesters (i.e 2 years).


Master of Science (M.Sc)


The Full- Time programme for M.Sc shall run for a minimum of 3 semesters 18 months and a maximum of 36 months (or 3 years).
The Part- Time programme for M.Sc shall run for a minimum of 4 semesters (or 24 months) and a maximum of 6 semesters (or 36 months).

Doctor of Philosophy (Ph.D)


The Full- Time programme for Ph.D shall run for a minimum of 3 years (i.e 36 months) of 6 semesters and a maximum of 5 years (i.e 60 months) of 10 semesters.
The Part-Time programme for Ph.D shall run for a minimum of 4 years (i.e 48 months) of 8 semesters and a maximum of 6 years (i.e 72 months) or 12 semesters. In either mode of study, the thesis carries 18 units.

POSTGRADUATE SCHOOL FEE SCHEDULE

Copyright © 2021. All Rights Reserved. Ebonyi State University. | Updated 12th Aug, 2021