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