To become an educational institution for master program and developing statistics and data science international standard that contribute to science and technology, particularly in the fields of Computing, Business and Industry, Economics and Finance, Social and Population, and Environment and Health.
Program Educational Objectives (PEO) reflects the achievements of graduates of the study program. The PEO of the Master Program of Statistics is to produce quality Masters in Statistics so that they can have a career as lecturers, researchers, and practitioners in the field of Statistics and Data Science with the following characteristics:
PLO-1: | Able to demonstrate attitudes and characters that reflect: being pious to God Almighty, having ethics and integrity, virtuous character, sensitive and concern with social and environmental issues, respecting cultural differences and pluralism, upholding law enforcement, prioritizing the interests of the nation and the wider community, through creativity and innovation, excellence, strong leadership, synergy, and other potentials to achieve maximum results. |
PLO-2: | Able to develop and solve science and technology problems in their field through research with an inter or multidisciplinary approach to produce innovative and tested works in the form of theses and papers that have been accepted in accredited national journals or accepted at reputable international seminars. |
PLO-3: | Able to manage their own learning and develop themselves as personal lifelong learners to compete at national and international levels, in order to make a real contribution to solving problems by implementing information and communication technology and paying attention to the principle of sustainability. |
PLO-4: | Able to apply Statistical Theory to Statistical Methods |
PLO-5: | Able to design, implement, and evaluate data collection with appropriate methodology |
PLO-6: | Able to use modern computing devices to solve statistical problems |
PLO-7: | Able to apply and evaluate computational techniques to solve statistical problems |
PLO-8: | Able to apply statistical methods appropriately and evaluate them to analyze theoretical and real problems |
PLO-9: | Able to apply Computing-based Business, Industrial, Financial Economics, Social-Population, Environmental, or Health Statistics methods to real problems |
SEMESTER: I | |||
No. | Course Code | Course Name | Credit |
1 | SS235101 | Probability Theory | 3 |
2 | SS235102 | Sampling Methods | 3 |
3 | SS235103 | Linear Model | 3 |
4 | SS235— | Elective Course I | 3 |
Total credit | 12 |
SEMESTER: II | |||
No. | Course Code | Course Name | Credit |
1 | SS235201 | Statistical Inference | 3 |
2 | SS235202 | Multivariate Analysis | 3 |
3 | SS235203 | Intensive Computational Statistics | 3 |
4 | SS235— | Elective Course II | 3 |
Total credit | 12 |
SEMESTER: III | |||
No. | Course Code | Course Name | Credit |
1 | SS235301 | Advanced Data Analysis | 3 |
2 | SS235302 | Thesis Proposal | 3 |
Total credit | 6 |
SEMESTER: IV | |||
No. | Course Code | Course Name | Credit |
1 | SS235401 | Thesis | 6 |
Total credit | 6 |
SEMESTER: I | |||
No. | CourceCode | Course Name | Credit |
1 | SS235171 | Research Methods | 3 |
2 | SS235171 | Thesis Research Proposal | 3 |
3 | SS235— | Elective Course I | 3 |
4 | SS235— | Elective Course II | 3 |
Total credit | 12 |
SEMESTER: II | |||
No. | Course Code | Course Name | Credit |
1 | SS235271 | Thesis I | 4 |
2 | SS235272 | Research Publication I | 6 |
Total credit | 10 |
SEMESTER: III | |||
No. | Course Code | Course Name | Credit |
1 | SS235371 | Thesis II | 6 |
Total credit | 6 |
SEMESTER: IV | |||
No. | Course Code | Course name | Credit |
1 | SS235471 | Research Publication II | 8 |
Total credit | 8 |
No | Course Code | Elective Course Name | Credit | Lab. Name |
1 | SS235111 | Bayesian Analysis | 3 | SCDS |
2 | SS235112 | Advanced Simulation Technique | 3 | SCDS |
3 | SS235113 | Advanced Stochastic Process | 3 | SCDS |
4 | SS235314 | Enterprise Data Analytics | 3 | SCDS |
5 | SS235315 | Advanced Data Organization | 3 | SCDS |
6 | SS235091 | Computational Statistics (Matriculation) | 3 | SCDS |
7 | SS235092 | Data Analysis (Matriculation) | 3 | SCDS |
8 | SS235321 | Process Control Analysis | 3 | BIS |
9 | SS235322 | Quality Design Analysis | 3 | BIS |
10 | SS235323 | Reliability Analysis | 3 | BIS |
11 | SS235324 | Consulting Statistics | 3 | BIS |
12 | SS235325 | Research Methodology and Colloqium | 3 | BIS |
13 | SS235093 | Statistical Analysis (Matriculation) | 3 | BIS |
14 | SS235095 | Statistical Analysis | 3 | BIS |
15 | SS235331 | Econometrics | 3 | EFDA |
16 | SS235332 | Financial Statistics | 3 | EFDA |
17 | SS235333 | Time Series Analysis | 3 | EFDA |
18 | SS235334 | Advanced Statistical Machine Learning | 3 | EFDA |
19 | SS235335 | Applied Statistics Capita Selecta | 3 | EFDA |
20 | SS235094 | Mathematical Statistics (Matriculation) | 3 | EFDA |
21 | SS235141 | Official Statistics Analysis | 3 | SPS |
22 | SS235242 | Advanced Nonparametric Regression | 3 | SPS |
23 | SS235243 | Marketing Research Methods | 3 | SPS |
24 | SS235244 | Population Analysis | 3 | SPS |
25 | SS235351 | Qualitative Data Analysis | 3 | SEH |
26 | SS235352 | Survival Analysis | 3 | SEH |
27 | SS235353 | Spatial Statistics | 3 | SEH |
28 | SS235354 | Meta Analysis | 3 | SEH |
29 | SS235355 | Advanced Experimental Design | 3 | SEH |
SEMESTER: I | |||
No. | Course Code | Course Name | Credit |
1 | SS235101 | Probability Theory | 3 |
2 | SS235102 | Sampling Methods | 3 |
3 | SS235103 | Linear Model | 3 |
4 | SS235— | Elective Course I | 3 |
Total credit | 12 |
SEMESTER: II | |||
No. | Course Code | Course Name | Credit |
1 | SS235201 | Statistical Inference | 3 |
2 | SS235202 | Multivariate Analysis | 3 |
3 | SS235203 | Intensive Computational Statistics | 3 |
4 | SS235— | Elective Course II | 3 |
Total credit | 12 |
SEMESTER: III | |||
No. | Course Code | Course Name | Credit |
1 | SS235301 | Advanced Data Analysis | 3 |
2 | SS235302 | Thesis Proposal | 3 |
Total credit | 6 |
SEMESTER: IV | |||
No. | Course Code | Course Name | Credit |
1 | SS235401 | Thesis | 6 |
Total credit | 6 |
SEMESTER: I | |||
No. | CourceCode | Course Name | Credit |
1 | SS235171 | Research Methods | 3 |
2 | SS235171 | Thesis Research Proposal | 3 |
3 | SS235— | Elective Course I | 3 |
4 | SS235— | Elective Course II | 3 |
Total credit | 12 |
SEMESTER: II | |||
No. | Course Code | Course Name | Credit |
1 | SS235271 | Thesis I | 4 |
2 | SS235272 | Research Publication I | 6 |
Total credit | 10 |
SEMESTER: III | |||
No. | Course Code | Course Name | Credit |
1 | SS235371 | Thesis II | 6 |
Total credit | 6 |
SEMESTER: IV | |||
No. | Course Code | Course name | Credit |
1 | SS235471 | Research Publication II | 8 |
Total credit | 8 |
No | Course Code | Elective Course Name | Credit | Lab. Name |
1 | SS235111 | Bayesian Analysis | 3 | SCDS |
2 | SS235112 | Advanced Simulation Technique | 3 | SCDS |
3 | SS235113 | Advanced Stochastic Process | 3 | SCDS |
4 | SS235314 | Enterprise Data Analytics | 3 | SCDS |
5 | SS235315 | Advanced Data Organization | 3 | SCDS |
6 | SS235091 | Computational Statistics (Matriculation) | 3 | SCDS |
7 | SS235092 | Data Analysis (Matriculation) | 3 | SCDS |
8 | SS235321 | Process Control Analysis | 3 | BIS |
9 | SS235322 | Quality Design Analysis | 3 | BIS |
10 | SS235323 | Reliability Analysis | 3 | BIS |
11 | SS235324 | Consulting Statistics | 3 | BIS |
12 | SS235325 | Research Methodology and Colloqium | 3 | BIS |
13 | SS235093 | Statistical Analysis (Matriculation) | 3 | BIS |
14 | SS235095 | Statistical Analysis | 3 | BIS |
15 | SS235331 | Econometrics | 3 | EFDA |
16 | SS235332 | Financial Statistics | 3 | EFDA |
17 | SS235333 | Time Series Analysis | 3 | EFDA |
18 | SS235334 | Advanced Statistical Machine Learning | 3 | EFDA |
19 | SS235335 | Applied Statistics Capita Selecta | 3 | EFDA |
20 | SS235094 | Mathematical Statistics (Matriculation) | 3 | EFDA |
21 | SS235141 | Official Statistics Analysis | 3 | SPS |
22 | SS235242 | Advanced Nonparametric Regression | 3 | SPS |
23 | SS235243 | Marketing Research Methods | 3 | SPS |
24 | SS235244 | Population Analysis | 3 | SPS |
25 | SS235351 | Qualitative Data Analysis | 3 | SEH |
26 | SS235352 | Survival Analysis | 3 | SEH |
27 | SS235353 | Spatial Statistics | 3 | SEH |
28 | SS235354 | Meta Analysis | 3 | SEH |
29 | SS235355 | Advanced Experimental Design | 3 | SEH |