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Programme Objectives

The programme has the following objectives:

Career Opportunities

Bachelors of Science (Hons) Statistics graduates are equipped with analytical skills. With an increasing interest in data analysis tools for decision making, statistics graduates are in high demand by both the public and private sectors. A career in statistics offers a unique range of opportunities and challenges, ranging from deep involvement in specific fields of application to the study of puzzling conceptual and mathematical issues. Statistics is widely used in health, government, the natural world, education & research, finance, business & industry, and others. A career in statistics is rewarding, flexible, influential. Hence, they may be employed as among others, statisticians, researchers, quality control executives, market analysts and business analysts.

Admission Requirements

1. STPM or its equivalent with a minimum CGPA of 2.50 and grade C+ (GPA2.33) in Mathematics S/Mathematics T/Further Mathematics T and one (1) other subject excluding General Paper.
AND
Passed SPM/its equivalent with credits in Physics/ Chemistry/ Biology/ Additional Science/ Science and pass in English.
OR
2. Asasi UiTM/PASUM/Matriculation KPM with minimum CGPA of 2.50 in and at least grade C+ (GPA 2.33) in two (2) subjects including Mathematics/ Engineering Mathematics and grade C (GPA 2.0) in one (1) other subject.
AND
Passed SPM/its equivalent with credits in Physics/ Chemistry/ Biology/Additional Science/Science and a pass in English.
OR
3. A diploma from Faculty of Computer and Mathematical Sciences, UiTM, with a minimum CGPA of 2.50.
OR
4. A diploma in Science from Faculty of Applied Sciences, UiTM, with a minimum CGPA of 2.00 and one (1) year of working experience in relevant fields.
OR
5. A relevant diploma from UiTM with a minimum CGPA of 2.50.
AND
Passed SPM or its equivalent qualification which is recognized by the Government of Malaysia, with at least credit in Additional Mathematics.
OR
6. A relevant diploma from UiTM with a minimum CGPA of 2.00 and one (1) year of working experience in related fields.
AND
Passed SPM or its equivalent qualification which is recognized by the Government of Malaysia, with at least credit in Additional Mathematics.
OR
7. A relevant diploma from other institutions which is recognized by the Government of Malaysia, with a minimum CGPA of 3.00.
AND
Passed SPM/its equivalent with 5 credits including Mathematics/ Additional Mathematics and Physics/ Chemistry/ Additional Science/ Science and a pass in English.
OR
8. A related diploma from other institutions which is recognized by the Government of Malaysia, with a minimum CGPA of 2.75 and one (1) year of working experience in related fields.
AND
Passed SPM/its equivalent with 5 credits including Mathematics/ Additional Mathematics and Physics/ Chemistry/ Additional Science/ Science and a pass in English.

Note: All applicants must pass MUET with minimum score of Band 2.

 

Plan of Study

Semester 1 Year 1
Probability and Statistics I, Fundamentals of Research, Calculus II, Fundamentals of Computer Problem Solving, Islamic and Asian Civilization, Co- Curriculum I

Semester 2 Year 1
Fundamentals of Regression Analysis, Statistical Methods, Mathematical Logic and Proving Techniques, Linear Algebra I, Operational Research, Database Design and Application, Co-Curriculum II

Semester 3 Year 2
English for Academic Reading, Malaysian History, Nonparametric Statistics, Calculus III, Linear Algebra II, Database Management System, Third Language I, Co-Curriculum III.

Semester 4 Year 2
Sampling Methods, Statistical Inference, Time Series Analysis and Forecasting, Third Language II, English for Academic Writing, Elective*.

Semester 5 Year 3
Research Methodology, Intermediate Regression Analysis, SAS Programming, Experimental Design and Analysis of Variance, Third Language III, Elective*.

Semester 6 Year 3
Applied Multivariate Analysis, Technology Entrepreneurship, Final Year Project, Elective*

Semester 7 Year 4
Industrial Training

Elective*(for a chosen option)
Actuarial Statistics
Survical Model, Risk and Insurance, Quantitative Financial Management, Statistical Quality Control

Information Science
Fundamentals of Data Mining, Introduction to Interactive Multimedia, Fundamental of Information Systems, Statistical Quality Control

Business Statistics
Marketing Models, Econometrics, Quantitative Financial Management, Statistical Quality Control

Big Data
Fundamentals of Data Mining, Business Data Analytics, Programming for Data Science, Data Representation and Reporting Techniques.