Science & Technology Cluster

MASTER OF SCIENCE IN APPLIED STATISTICS (CS702) COURSEWORK

 

 Synopsis


 

The Master of Science in Applied Statistics programme is offered to accommodate both working professionals and fresh graduates to acquire analytical and statistical skills. The programme offers a curriculum that provides a balanced approach towards learning of statistical theory and its applications. The core courses give a thorough grounding in advanced and modern statistical methods with additional topics in data science.

 

 

Entry Requirement


 

  • Bachelor of Science (Hons.) from UiTM in a related and appropriate area of specialization with minimum CGPA of 2.75; OR
  • Bachelor's degree or its equivalent from other recognized universities approved by UiTM with minimum CGPA of 2.75.  

English Requirement (MUET/IELTS/TOEFL/CEFR/TOEIC/BULATS)


 

  • Malaysian University English Test (MUET) Band 3
  • IELTS Band 5
  • TOEFL: Internet Based Test (IBT: 35-45) ; Computer Based Test (CBT: 107-131) ; Paper Based Test (417-450)
  • CEFR: B1
  • TOEIC: 356-440
  • BULATS: 40-59

 

Courses


 

Semester 1

  • Advanced Statistical Inference
  • Advanced Multivariate Analysis
  • Statistical Computing and one elective course.

 

Semester 2

  • Sampling Theory and Practice
  • Applied Statistical Modelling
  • Research Methodology
  • Statistical Consulting and Entrepreneurship and one elective course.

 

Semester 3

  • Design and analysis of Experiment
  • Research Project in Applied Statistics and one elective course.

 

Elective Courses

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

 

Specialization 1: Data Science

  • Statistical Data Mining, Stochastic Models
  • Advanced Statistical Methods
  • Data Visualization and Advanced Data Organization

 

Specialization 2: Business and Social Sciences

  • Advanced Time Series Modelling and Forecasting
  • Input-Output Analysis
  • Demographic Analysis
  • Quality Management and Analysis
  • Strategic Management