Bsc applied statistics with computing
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:

Design methods for collecting and interpreting data.

Apply statistical techniques to model relationships between variables and make predictions.

Design research system and effectively analyze the resulting data.

Mathematics OR Mathematics

Any group II Physical Science

Any group III Biological Science

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 
NonParametric and Robust Methods 
3 
STA 431 
Principles of Actuarial Science 
3 
STA 432 
Statistics for National Planning 
3 
STA 433 
Operation Research III 
3 