| UPM || E-Warga || Faculty Administration || Quick Facts || Contact Us || FAQ's |
Master of Applied Statistics

Master of Applied Statistics

Master of Applied Statistics is a 36 credit postgraduate programme by coursework. This programme prepares students with advanced knowledge and professional expertise through coursework and application. It exposes them to the latest developments in the field of Applied Statistics. The objective of this programme is to produce graduates who are knowledgeable and skillful in statistics and also to offer an opportunity for advanced studies and career development in the field of statistics. This programme offers a curriculum that provides a balanced approach to the training and education of statistics professionals. The courses offered not only cover statistical applications in a wide variety of fields, but also include statistical theory that will equip students with advanced knowledge in statistics. Graduates from this field can have career opportunities in planning, management, research, academia and related industries. A student pursuing a Master of Applied Statistics may complete the programme in a minimum period of one and half  year and a maximum period of three years.

Admission Requirements

Applicants should hold a Bachelors degree recognized by UPM in the field of Mathematics or Statistics with a minimum CGPA of 2.50. Holders of other degrees such as engineering and accounting with CGPA of at least 3.00 can be considered. Candidates with CGPA less than the minimum requirement, but having at least 3 years working experience in the related field may also apply.

Duration

The duration for Master of Applied Statistics is 3 to 6 semesters. However an average student will be able to complate in 4 semesters.

Credit Requirements

The total credit requirement for graduation is 36. The credits are distributed among compulsory and elective courses as follows:

Compulsory courses

18 credits

Elective courses

18 credits

Compulsory Courses (18 credits)

No.

Name

Code

Credit

1

Mathematical Statistics

MTH 5401

3 (3+0)

2

Survey Sampling

MTH 5402

3 (3+0)

3

Design and Analysis of Experiments

MTH 5403

3 (3+0)

4

Regression Analysis

MTH 5404

3 (3+0)

5

Project

MTH 5989

6 (0+6)

Elective Courses (18 credits)

Students are required to choose at lease six courses from the lists below as elective courses.

No

Name

Code

Credit

1

Interactive Data Analysis

MTH 5405

3 (3+0)

2

Quality Control Techniques

MTH 5406

3 (3+0)

3

Exploratory Data Analysis

MTH 5407

3 (3+0)

4

Categorical Data Analysis

MTH 5408

3 (3+0)

5

Econometrics

MTH 5409

3 (3+0)

6

Survival Analysis

MTH 5410

3 (3+0)

7

Applied Statistical Modelling

MTH 5411

3 (3+0)

8

Robust Statistics

MTH 5412

3 (3+0)

9

Theory of Non-Parametric Statistics

MTH 5413

3 (3+0)

10

Applied Stochastic Processes

MTH 5414

3 (3+0)

11

Multivariate Analysis

MTH 5415

3 (3+0)

12

Time Series Analysis

MTH 5416

3 (3+0)

13

Forecasting Techniques in Finance

MTH 5417

3 (3+0)

14

Spatial Statistical Techniques

MTH 5418

3 (3+0)

A student may take additional courses offered within or outside the faculty as electives to support their field of studies. These courses must be approved by the Faculty Graduate Studies Committee and the student Supervisory Committee.

Last Updated on Thursday, 11 August 2011 00:49