Every students, in order to complete his/her study at this study program has to complete and passed 48 credit hours for mandatory courses, and at least 6 credit hours for elective courses. Here are the list of courses offer for each semester:
Mandatory Course Semester I | |||
STA-611 | Advanced Statistical Methods | 3 | 2 – 1 |
STA-612 | Theory of Linear Models | 3 | 3 – 0 |
STA-613 | Probability Theory | 3 | 3 – 0 |
STA-614 | Sampling Techniques and Simulation | 3 | 2 – 1 |
Mandatory Course Semester II | |||
STA-621 | Theory of Statistical Inference I : Estimation Theory | 3 | 3 – 0 |
STA-622 | Advanced Experimental Design | 3 | 2 – 1 |
STA-623 | Applied Stochastic Processes | 3 | 2 – 1 |
STA-624 | Statistical Computing | 3 | 2 – 1 |
Mandatory Course Semester III | |||
STA-631 | Theory of Statistical Inference II : Hypothesis Testing | 3 | 3 – 0 |
STA-632 | Time Series Analysis | 3 | 2 – 1 |
STA-633 | Theory of Nonparametric Statistics | 3 | 3 – 0 |
STA-634 | Multivariate Analysis | 3 | 2 – 1 |
Mandatory Course Semester IV | |||
STA-601 | Colloquium | 1 | 0 – 1 |
STA-602 | Research Proposal Seminar | 1 | 0 – 1 |
STA-603 | Research Result Seminar | 1 | 0 – 1 |
STA-604 | Tesis | 6 | 0 – 6 |
Elective Course Odd Semester | |||
STA-651 | Spatial Statistics | 3 | 2 – 1 |
STA-652 | Longitudinal Data Analysis | 3 | 2 – 1 |
STA-653 | Prescriptive Modeling | 3 | 2 – 1 |
STA-654 | Special Topics I | 3 | 1 – 2 |
Elective Course Even Semester | |||
STA-661 | Data Mining & Statistical Machine Learning | 3 | 2 – 1 |
STA-662 | Categorical Data Analysis | 3 | 2 – 1 |
STA-663 | Small Area Estimation | 3 | 2 – 1 |
STA-664 | Special Topics II | 3 | 2 – 1 |
Credit Hour provided | 72 | ||
Credit Hour to be taken | 54 |