CS241 BACHELOR OF SCIENCE (HONS.) STATISTICS / SARJANA MUDA SAINS (KEPUJIAN) STATISTIK

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Programme Objectives

Programme Educational Objectives (PEO)

  • Statistical analyst who apply their knowledge and technical skills of data analysis.
  • Statistical analyst who ethically, virtuously and resiliently provide volunteered engagement to and with society.
  • Statistical analyst who alternately take the role of a leader and a team member and communicate issues and analytical solutions to scientific decision-making.
  • Statistical analyst who proactively seek to improve their functional know-how and career development, fairly entrepreneurial and innovatively manage resources and information.

Career Opportunities

Job 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, Data Scientists, Data Analysts, Statisticians, Researchers, Quality Control (QC) Analysts, Market Analysts, Business Analysts, Statistical Process Control (SPC) Analysts, Quantitative Analysts and Environmetrics.

Admission Requirements

Admission Requirements

  1. STPM or its equivalent with a minimum CGPA of 2.50 and grade C+ (GPA 2.33) in Mathematics S/Mathematics T/Further Mathematics T and one (1) other subject excluding General Paper

 

AND

 

Passed SPM or its equivalent with credits in Physics/ Chemistry/ Science and pass in English

 

OR

 

  1. 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 or its equivalent with credits in Physics/ Chemistry/ Biology/ Additional Science/Science and a pass in English.

 

OR

  1. A diploma from Faculty of Computer and Mathematical Sciences, UiTM, with a minimum CGPA of 2.50

 

OR

 

  1. A diploma from Faculty of Computer and Mathematical Sciences, UiTM, with a minimum CGPA of 2.00 and one (1) year of working experience in relevant fields

 

OR

 

  1. 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

 

  1. 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

 

  1. A relevant diploma from other institutions which is recognized by the Government of Malaysia, with a minimum CGPA of 3.00

 

AND

 

Passed SPM or its equivalent with five (5) credits including Mathematics, Additional Mathematics and Physics/ Chemistry/ Additional Science/ Science and a pass in English

 

OR

 

  1. 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 or its equivalent with five (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

Plan of study

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

Semester 2 Year 1
Statistical Methods, Fundamentals of Research, Calculus II, Database Design and Development, Operational Research, Co-Curriculum II.

Semester 3 Year 2
Mathematical Statistics I, Sampling Techniques, Database Management System, Calculus III, English for Oral Presentations, Ethnic Relations, Third Language I, Co-Curriculum III.

Semester 4 Year 2
Mathematical Statistics II, Applied Regression Analysis, Linear Algebra II, Fundamentals of Data Mining, Personality Development in Islam, Third Language II.

Semester 5 Year 3
Applied Multivariate Analysis, Research Methodology, SAS Programming, English for Report Writing, Third Language III, Elective 1*.

Semester 6 Year 3

Technology Entrepreneurship, Final Year Project, Elective 2, Elective 3, Elective 4*

Semester 7 Year 4
Industrial Training

Elective* (for a chosen option)

Accounting

Accounting Information System, Financial & Management Accounting, Management Accounting, Zakat Accounting.

Decision Science

Quantitative Financial Management, Simulation, Advanced OR, Statistical Quality Control.

Business & Economics
Marketing Models, Econometrics, Time Series Analysis and Forecasting, Experimental Design & Analysis of Variance

Big Data Analytic

Intelligent Decision Making Support Systems, Business Data Analytics, Programming for Data Science, Data Representation and Reporting Techniques