1. Compulsory Courses
COURSES TYPE |
Modules |
Core |
Data Sciences Essentials, Theory and Applied of Advanced Statistics , Computational Statistics Advanced and Modern Data Analysis |
Thesis |
Master Thesis Proposal, Pre- open Defense Master Thesis, Open Defense, and Master Thesis Publication |
Islamic Attitude, Leadership Skill, and Knowledge |
Ulil Albab |
2. Elective Courses
Business, industry, social and actuarial concentration, and spatial data science and bioinformatics concentration.
Course modules
Compulsory courses
Type | Code | Course Name | Learning process *) | credits | Pre-requisite |
Mandatory | MST – 111 | Data Sciences Essential | Class | 3 | – |
Mandatory | MST – 112 | Statistical Theory and Practice | Class | 3 | – |
Mandatory | MST – 113 | Statistical Computing | Class | 3 | – |
Mandatory | MST – 114 | Modern Data Analytics | Class | 3 | – |
| Total Credits | 12 |
| ||
Type | Code | Course Name | Learning process *) | credits | Pre-requisite |
Mandatory | MST – 211 | Multivariate Data Analysis | Class | 3 | – |
Mandatory | MST – 201 | Islam Ulil Albab | Class | 3 | – |
Mandatory | MST – 5XX | Elective Course 1 | Class | 3 | Have taken MST-111 |
Mandatory | MST – 5XX | Elective Course 2 | Class | 3 | Have taken MST-111 |
| Total Credits | 12 |
| ||
Type | Code | Course Name | Learning process *) | credits | Pre-requisite |
Mandatory | MST – 5XX | Elective Course 3 | Class | 3 | – |
Mandatory | MST – 5XX | Elective Course 4 | Class | 3 | – |
Mandatory | MST – 311 | Master Thesis Proposal | Internship, Tutorial, Seminar | 3 | Have taken at least 12 credits with a minimum GPA of 3.0 |
| Total Credits | 9 |
| ||
Type | Code | Course Name | Learning process *) | credits | Pre-requisite |
Mandatory | MST – 411 | Open Defense Master Thesis. | Seminar | 2 | Have taken MST – 311 Have taken at least 30 credits |
Mandatory | MST – 412 | Pre-open Defense Master Thesis | Seminar | 2 | Have taken MST – 311 Have taken at least 30 credits |
Mandatory | MST – 413 | Publication | Journal Practice | 2 |
|
Mandatory | MST – 414 | Thesis | Mentoring, Discussion | 3 | Have taken MST – 311 Have taken at least 30 credits |
| Total Credits | 9 |
| ||
| Total of credits | 42 |
| ||
Elective Courses
Concentration | Code | Course Name | Learning process *) | credits | Pre-requisite |
General | MST- 511 | Optimization Technique | Interactive classroom | 3 | – |
General | MST- 512 | Theory of Nonparametric Statistics | Interactive classroom | 3 | – |
General | MST- 513 | Generalized Linear Model | Interactive classroom | 3 | Have taken MST-111 |
General | MST- 514 | Real Analysis and Probability | Interactive classroom | 3 | Have taken MST-112 |
General | MST-515 | Capita Selecta 1 | Interactive classroom | 3 | – |
General | MST-516 | Capita Selecta 2 | Interactive classroom | 3 | – |
| Total credits of General elective courses | 15 |
| ||
Concentration | Code | Course Name | Learning process *) | credits | Pre-requisite |
BISA | MST-521 | Statistics for Business Finance | Interactive classroom | 3 | – |
BISA | MST-522 | Experimental Design in Business | Interactive classroom | 3 | – |
BISA | MST-523 | Statistical Quality Improvement | Interactive classroom | 3 | – |
BISA | MST-524 | Financial Mathematics | Interactive classroom | 3 | – |
BISA | MST-525 | Actuarial Stochastic Process | Interactive classroom | 3 | – |
BISA | MST-526 | Risk Theory and Simulation | Interactive classroom | 3 | Have taken MST-112 |
| Total credits of concentration elective courses BISA | 18 |
| ||
Concentration | Code | Course Name | Learning process *) | credits | Pre-requisite |
SDSB | MST-531 | Visual Object Detection and Recognition | Interactive classroom | 3 | – |
SDSB | MST-532 | Neural Network and Deep Learning | Interactive classroom | 3 | – |
SDSB | MST-533 | Spatial Data Science | Interactive classroom | 3 | – |
SDSB | MST-534 | Genomics Data Science | Interactive classroom | 3 | – |
SDSB | MST-535 | Computational Biodiversity | Interactive classroom | 3 | – |
| Total credits of SDSB concentration elective courses | 15 | _ | ||
