Bachelor of Science Applied Statistics With Computing
PREAMBLE
Statistics is an inductive science in which information is extracted from sample data in order to draw inferences. This most often involves planning experiments to ensure that valid answers to questions are obtained from the sample. Statistics is a subject that deals with the collection and analysis of data and affects most aspects of modern life. It is a subject that derives vitality in coping with practical problems, which arises in all fields of scientific activities. Statistical methods are exclusively used Biological and Physical Sciences, Agriculture, Business, Finance, Economics, Engineering, and many other fields. It deals rationally and objectively with the uncertainty that accompanies variation phenomena as highly complex as the interplay of many factors that affects our environment. Investigator’s efforts to learn about a specific phenomenon, be response of a patient to a certain medical treatment or the effectiveness of a particular instructional program on student’s learning, are impacted by the presence of natural variation. The field of statistics is concerned with valid and efficient way to learn more about these phenomena in the presence of such variation.
The statistician’s task is to determine what data to collect, how to collect and how to analyze. These problems are discussed under design of Experiments and Sample Surveys. Statistical inference is concerned with inferring what the population is like on basis of the sample. The link between population and sample is provided by Probability Theory, which forms an important part of the curriculum. Developing and assessing statistical models to describe the variation in some response in terms of other explanatory variables and applications of these models is discussed.
Other areas in Pure and Applied Mathematics that find applications in Statistics include Calculus, Linear and Abstract algebra, Combinatory, Difference and Differential equations. Since a statistician requires a background courses in computer programming and applications are incorporated.
PROGRAMME OBJECTIVES
PROGRAMME OBJECTIVES
The objectives of the B.Sc. in Applied Statistics with Computing program are to produce graduates that are able to:-
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Design methods for collecting and interpreting data.
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Apply statistical techniques to model relationships between variables and make predictions.
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Design research system and effectively analyze the resulting data.
To be admitted into the B.Sc. (Applied Statistics with Computing) program, a candidate must satisfy the minimum University entry requirements. In addition, candidates must satisfy the following subject cluster:-
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Mathematics OR Mathematics
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Any group II Physical Science
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Any group III Biological Science
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Any from Group II/III /IV/V Geography/Accounts/Commerce
Course duration
The duration of the program shall normally take four academic years.
A candidate should take a minimum of at least 21 units or at most 24 units per semester.
In addition to the normal semesters, there are field visits and industrial attachments at selected industrial, educational or research establishments. The attachment course shall normally be taken at the end of third year of study.
Examinations
The University Common Rules and Regulations for Under Graduates Examinations shall apply.
Course Structure
First Semester
|
Code
|
Description
|
Units
|
|
COM
|
INTRODUCTION TO COMPUTERS AND COMPUTING
|
3
|
|
PHY 110
|
BASIC PHYSICS 1
|
4
|
|
COM 111
|
COMPUTER APPLICATIONS
|
3
|
|
MAT 110
|
BASIC CALCULUS
|
3
|
|
IRD 100
|
COMMUNICATION SKILLS I
|
3
|
|
IRD 101
|
QUANTITATIVE SKILLS I
|
3
|
|
COM 113
|
MATHEMATICS FOR COMPUTER SCIENCE I
|
3
|
|
TOTAL
|
|
22
|
Second Semester
|
Code
|
Description
|
Units
|
|
PHY 111
|
BASIC PHYSICS II
|
4
|
|
MAT 111
|
GEOMETRY AND ELEMENTARY APPLIED MATHEMATICS
|
3
|
|
COM 120
|
SYSTEM HARDWARE
|
3
|
|
COM 121
|
PROCEDURAL PROGRAMMING I
|
3
|
|
IRD 102
|
COMMUNICATION SKILLS I
|
3
|
|
IRD 103
|
DEVELOPMENT CONCEPTS AND APPLICATIONS
|
3
|
|
COM 123
|
MATHEMATICS FOR COMPUTER SCIENCE II
|
3
|
|
TOTAL
|
|
22
|
First Semester
|
Code
|
Description
|
Units
|
|
COM 210
|
PROCEDURAL PROGRAMMING II
|
3
|
|
COM 211
|
SYSTEM SOFTWARE
|
3
|
|
COM 212
|
DIGITAL ELECTRONICS I
|
3
|
|
COM 215
|
ELECTRICAL CIRCUITS
|
3
|
|
COM 217
|
ELECTRONICS 1
|
3
|
|
IRD 104
|
QUANTITATIVE SKILLS II
|
3
|
|
COM 216
|
INTERNET FUNDAMENTALS
|
3
|
|
TOTAL
|
|
21
|
Second Semester
|
Code
|
Description
|
Units
|
|
STA 216
|
Mathematical Statistics II
|
3
|
|
STA 217
|
Principle of Statistical Inference
|
3
|
|
STA 218
|
Introduction to Time Series Analysis
|
3
|
|
STA 219
|
Categorical Data Analysis
|
3
|
|
MAT 213*
|
Linear Algebra II
|
3
|
|
MAT 216
|
Real Analysis
|
3
|
|
COM121*
|
Procedural Programming I
|
3
|
|
TOTAL
|
|
21
|
First Semester
|
Code
|
Description
|
Units
|
|
STA 315
|
Mathematical Statistics III
|
3
|
|
STA 316
|
Applied Regression Analysis I
|
3
|
|
STA 317
|
Theory of Estimation
|
3
|
|
STA 318
|
Computing Methods and Data Analysis
|
3
|
|
MAT310*
|
Advanced Real Analysis
|
3
|
|
MAT 314*
|
Ordinary Differential Equations
|
3
|
|
IRD 305*
|
Entrepreneurship for Small Business
|
3
|
|
TOTAL
|
|
21
|
Second Semester
|
Code
|
Description
|
Units
|
|
STA 319
|
Sampling Theory and Methods I
|
3
|
|
STA 320
|
Design and Analysis of Experiments I
|
3
|
|
STA 321
|
Testing of Hypotheses
|
3
|
|
STA 350
|
Industrial Attachment
|
6
|
|
COM 318*
|
Database Systems
|
3
|
|
MAT 317*
|
Numerical Analysis I
|
3
|
|
TOTAL
|
|
34
|
|
ANY ELECTIVE 3
|
|
ELECTIVES
|
|
STA 322
|
Applied Statistical Inference
|
3
|
|
STA 323
|
Survey Research Methods
|
3
|
|
STA 324
|
Introduction to Mathematical modeling
|
3
|
|
STA 325
|
Econometric Models
|
3
|
|
STA 326
|
Statistical Quality control Methods
|
3
|
|
STA 327
|
Operations Research II
|
3
|
|
STA 328
|
Applied Regression Analysis II
|
3
|
| |
|
|
First Semester
|
Code
|
Description
|
Units
|
|
STA 418
|
Applied Time Series Analysis
|
3
|
|
STA 419
|
Introductions to Measure and Probability
|
3
|
|
STA 420
|
Statistical Demography
|
3
|
|
STA 421
|
Statistical Computing
|
3
|
|
STA 422
|
Design and Analysis of Experiments II
|
3
|
|
STA 450
|
Statistical Consulting Project
|
3
|
|
IRD400*
|
Development project Appraisal
|
3
|
|
TOTAL
|
|
21
|
Second Semester
|
Code
|
Description
|
Units
|
|
STA 423
|
Biometry Methods
|
3
|
|
STA424
|
Stochastic Processes
|
3
|
|
STA 425
|
Sampling Theory and Methods II
|
3
|
|
COM400*
|
Computer Programming II
|
3
|
|
ANY THREE ELECTIVES 9
|
|
TOTAL
|
|
21
|
|
ELECTIVES
|
|
STA 426
|
Bayesian Inference and Decision Analysis
|
3
|
|
STA 427
|
Survival Models and Analysis
|
3
|
|
STA 428
|
Mathematical Application in Finance
|
3
|
|
STA 429
|
Applied Multivariate Analysis
|
3
|
|
STA 430
|
Non-Parametric and Robust Methods
|
3
|
|
STA 431
|
Principles of Actuarial Science
|
3
|
|
STA 432
|
Statistics for National Planning
|
3
|
|
STA 433
|
Operation Research III
|
3
|
| |
|
|
| |
|
|