Applied Statistics (Master's by Coursework)

Program Code

CS702

About Courses

The Master of Science in Applied Statistics programme is offered on a full-time and part-time basis in order to accommodate both working professionals and fresh graduates. The programme offers a curriculum that provides a balanced approach towards learning of statistical theory and its applications.

Mode of Program

Full Time / Part Time

Duration of Study

  • Full Time : 3-4 Semesters
  • Part Time : 4-8 Semesters

Classes are conducted on weekday evenings and Saturday

Entry Requirements

  • Academic Qualification
    • Applicant must have a Bachelor’s Degree with Honours in a relevant field of study from a university that is recognized by the University Senate and the Malaysian government.
  • English Language Proficiency
    • a TOEFL certificate with a score of at least
    • 550 for (paper based), or
    • 213 (computer based), or
    • 79-80 (IBT), or
    • an IELTS certificate with at least Band 6.0

*Any other English language certificates other than TOEFL and IELTS are NOT accepted by the university.

 

Courses Offered

All students are required to take the following courses:

  • Semester 1 Year 1
    • Classical and Bayesian Statistical Theory
    • Advanced Multivariate Analysis
    • Sampling Theory
    • one elective course
  • Semester 2 Year 1
    • Statistical Computing
    • Applied Statistical Modelling
    • Seminar on Contemporary Statistical Issues
    • Statistical Consultancy
    • one elective course
  • Semester 3 Year 2
    • Philosophy of Statistical Sciences
    • Dissertation in Applied Statistics
    • one elective course

Elective Courses

Students are required to select one of the three specializations. They are required to select only three elective courses from the chosen specialization.

  • Specialization 1: Biotechnology Industry
    • Statistical Data Mining
    • Biostatistics
    • Design and Analysis of Experiments
    • Quality Standards
    • Control and Improvement
    • Stochastic Processes in Biotechnology
    • Categorical Data Analysis
  • Specialization 2: Business
    • Statistical Data Mining
    • Advanced Time Series Modelling and Forecasting
    • Input-Output Analysis
    • Consumer Research
    • Marketing Models
    • Organizational Behavior
  • Specialization 3: Social Science
    • Statistical Data Mining
    • Categorical Data Analysis, Demographic Analysis, Applied Social Statistics, Advanced Techniques of Population Analysis, Advance Time Series Modelling and Forecasting, Input-Output Analysis.

 

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