Core Focus Areas
- Big Data Analytics – Extracting insights from large-scale data for strategic decision-making.
- Machine Learning & AI Applications – Developing predictive models for automation and intelligent systems.
- Statistical Modeling & Inference – Applying advanced statistical techniques for data-driven decisions.
- Business & Industrial Data Science – Optimizing operations using data-driven methodologies.
Career Prospects
| Career Path | Industries |
|---|---|
| Data Scientist | Technology, Finance, Healthcare, Retail |
| Business Intelligence Analyst | Banking, E-commerce, Consulting, Telecommunications |
| Statistical Consultant | Government, Academia, Research Institutions |
| AI & Machine Learning Engineer | Tech Companies, Autonomous Systems, Smart Cities |
Real-World Applications
- Fraud Detection – Identifying fraudulent activities in banking and e-commerce.
- Healthcare Analytics – Predicting disease trends and optimizing hospital resource allocation.
- Personalized Marketing – Customer segmentation and recommendation systems.
- Risk Analysis for Financial Markets – Developing models for investment and risk management.
Curriculum
In the Curriculum 2021, some courses are accompanied by laboratory works. The international class is divided into 2 (two)
groups of courses:
- The core courses (134 credits)
- The elective focused courses (at least 15 credits).
List of Core Courses
SEMESTER I (the core courses)
| No. | Code | Course | Credits | Prerequisite | Organizer / Group in charge |
|---|---|---|---|---|---|
| 1 | MMM-1101 | Calculus I | 3 | – | Department of Mathematics |
| 2 | MFF-1011 | Physics I | 3 | – | Department of Physics |
| 3 | MKK-1101 | Fundamental Chemistry I | 3 | – | Department of Chemistry |
| 4 | MII21-1201 | Programming | 3 | – | Department of Computer Science and Electronics |
| 5 | MII21-1202 | Lab Work in Programming | 1 | – | Department of Computer Science and Electronics |
| 6 | MMS-1411 | Statistical Methods | 4 | – | Lab. of Statistics |
| 7 | MMS-1413 | Lab Work in Statistical Methods | 4 | MMS-1411** | Lab. of Statistics |
| 8 | UNU-22200X | Religion | 2 | – | University |
| 9 | MMM-1401 | Pancasila | 2 | – | University |
| Total Credits | 22 | ||||
SEMESTER II (the core courses)
| No. | Code | Course | Credits | Prerequisite | Organizer / Group in charge |
|---|---|---|---|---|---|
| 1 | MMM-1102 | Calculus II | 3 | MMM-1101* | Lab. of Analysis |
| 2 | MMS-1414 | Exploratory Data Analysis | 3(1) | MMS-1411*, MMS-1413* | Lab. of Statistics |
| 3 | MMS-1415 | Matrix Algebra | 2 | – | Lab. of Algebra |
| 4 | MMS-1418 | Discrete Mathematics and Combinatorics | 2 | – | Lab. of Statistics |
| 5 | MMS-1419 | English | 3 | – | University |
| 6 | MMS-1416 | Basis Data | 3(1) | – | Lab. of Statistics |
| 7 | MMS-1417 | Applied Regression Analysis | 3(1) | MMS-1411*, MMS-1413* | Lab. of Statistics |
| 8 | MMS-1418 | Probability and Stochastic Processes | 3 | – | Lab. of Applied Mathematics |
| 9 | UNU-222013 | Bahasa | 2 | – | University |
| Total Credits | 24 | ||||
SEMESTER III (the core courses)
| No. | Code | Course | Credits | Prerequisite | Organizer / Group in charge |
|---|---|---|---|---|---|
| 1 | MMS-2429 | Survey Sampling Methods | 3 | MMS-1411*, MMS-1413* | Lab. of Statistics |
| 2 | MMM-2428 | Multivariable Calculus for Statistics | 2 | MMM-1202* | Lab. of Statistics |
| 3 | MMM-2301 | Elementary Differential Equations | 3 | MMM-1102* | Lab. of Applied Mathematics |
| 4 | MMS-2420 | Introduction to Mathematical Statistics I | 3 | MMM-1102* | Lab. of Statistics |
| 5 | MMS-2430 | Introduction to Experimental Design | 2 | MMS-1411*, MMS-1413* | Lab. of Statistics |
| 6 | MMM-2111 | Advanced Calculus | 2 | MMM-1102* | Lab. of Analysis |
| 7 | MMS-2422 | Statistical Computation I | 3(1) | – | Lab. of Statistical computation |
| 8 | MMS-2423 | Applied Multivariate Statistics | 3(1) | MMS-2420** | Lab. of Statistics |
| Total Credits | 21 | ||||
SEMESTER IV (the core courses)
| No. | Code | Course | Credits | Prerequisite | Organizer / Group in charge |
|---|---|---|---|---|---|
| 1 | MMS-2483 | Introduction to Mathematical Statistics II | 3 | MMM-2420* | Lab. of Statistics |
| 2 | MMS-2431 | Official Statistics | 2 | – | Lab. of Statistics |
| 3 | MMS-2433 | Introduction to Data Science | 2 | MMM-2432* | Lab. of Statistics |
| 4 | MMS-2434 | Statistical Computation II | 3(1) | MMS-2422* | Lab. of Statistical Computation |
| 5 | MMS-2435 | Introduction to Data Mining | 3(1) | – | Lab. of Statistical Computation |
| Total Credits | 13 | ||||
SEMESTER V (the core courses)
| No. | Code | Course | Credits | Prerequisite | Organizer / Group in charge |
|---|---|---|---|---|---|
| 1 | MMS-3436 | Practical Work | 3 | ≥ 80 SKS | Lab. of Statistics |
| 2 | MMS-3446 | Introduction to Measurement and Probability Theory | 2 | MMM-1102* | Lab. of Statistics |
| 3 | UNU-222012 | Civic | 2 | – | University |
| 4 | MMM-3429 | Introduction to Time Series | 3(1) | MMM-2420* | Lab. of Statistics |
| Total Credits | 10 | ||||
SEMESTER VI (the core courses)
| No. | Code | Course | Credits | Prerequisite | Organizer / Group in charge |
|---|---|---|---|---|---|
| 1 | MMS-XXX | Visiting the university partners* | ≥ 5 credits | ≥ 100 credits without grade E | University partner |
| OR | |||||
| 2 | UNU-222001 | Community Development Participation | 4 | UNU-222002***, UNU-222004*** | University |
| 3 | UNU-222002 | Community Communication | 2 | UNU-222002***, UNU-222004*** | University |
| 4 | UNU-222004 | Application to Knowledge Management | 2 | UNU-222002***, UNU-222004*** | University |
| Total Credits | (need a discussion) | ||||
SEMESTER VII/VIII (the core courses)
| No. | Code | Course | Credits | Prerequisite | Organizer / Group in charge |
|---|---|---|---|---|---|
| 1 | MMS-4091 | Visiting the university partners* | ≥ 5 credits | ≥ 100 credits without grade E | University partner |
| 2 | MMS-4437 | Final Assignment I | 3 | ≥ 120 credits | xx |
| 3 | MMS-4438 | Final Assignment II | 6 | Final Assignment I | xx |
| Total Credits | (need a discussion) | ||||
∗ : required to be taken for the international class
List of Elective Courses
FALL SEMESTER (the elective courses)
| No. | Code | Course | Credits | Prerequisite | Organizer / Group in charge |
|---|---|---|---|---|---|
| 1 | MMS-4449 | Capita Selecta in Statistics A | 3 | MMS-2483* | Lab. of Statistics |
| 2 | MMA-2505 | Generalized Linear Model | 3 | MMS-1417* | Lab. of Statistics |
SPRING SEMESTER (the elective courses)
| No. | Code | Course | Credits | Prerequisite | Organizer / Group in charge |
|---|---|---|---|---|---|
| 1 | MMS-2427 | Forecasting Methods | 3(1) | MMS-1411*, MMS-1413* | Lab. of Statistics |
| 2 | MMS-3431 | Nonparametric Statistics | 3 | MMS-1411*, MMS-1413* | Lab. of Statistics |
| 3 | MMS-3435 | Structural Equation Modelling | 3 | MMS-2432*, MMS-1413* | Lab. of Statistics |
| 4 | MMS-3445 | Introduction to Econometrics | 3(1) | MMS-1411*, MMS-1413* | Lab. of Statistics |
| 5 | MMS-3448 | Statistical Machine Learning | 3 | MMS-2435* | Lab. of Statistics |
| 6 | MMS-4423 | Capita Selecta in Statistics B | 3 | – | Lab. of Statistics |
| 7 | MMS-4416 | Introduction to Analysis of Panel Data | 3 | MMS-2420* | Lab. of Statistics |
Note:
Capita Selecta A and B courses must align with the interests in data science and statistics.
The syllabi for Statistics and Data Science can be accessed through the following link 
.