Study Program Undergraduate
Department of Statistics - IPB University is considered as the pioneer institution in Indonesia to organize higher education in statistics and data science. Currently, this department is establishing Undergraduate, Master, and Doctoral Programs in Statistics and Data Science. The Department of Statistics has graduated qualified human resources that have been recognized both at the national and international levels. Many agencies, industries, and state institutions agree that graduates from the Department of Statistics can be relied upon and adapt quickly to meet the needs and challenges of work. A good learning process and high-quality student input have supported students to become the best in their fields, and the graduates can develop themselves in the areas of statistics and data science as well as various fields of its application.
Prof. Andi Hakim Nasoetion initiated the establishment of the Department of Statistics at 1968 through the Biometrics Section at the Faculty of Agriculture - IPB. Subsequently, it was officially established as the Department of Statistics and Computing in 1972 by holding an undergraduate education program. Since 1975 the Department of Statistics has also held a master program, while the regular doctoral program started in 1999. Currently, the department is supported by 29 lecturers of which 5 of them are professors. Bachelor Program in Statistics and Data Science - IPB University has a capacity of 100 students per year.
To become a reference study program for developing excellent human resources in statistics, analytics, and data science who have high integrity and creativity, are adaptive to change and are globally competitive.
Mission1. Building an academic atmosphere that supports educational and research activities in the fields of statistics and data science by following technological developments to answer future challenges and producing graduates with integrity and creativity.
2. Develop the human resource capacity of study program organizers who can keep up with the needs of the academic and applied fields.
3. Establish cooperation and synergy with various parties to support the implementation of diverse education, research, and community service programs.
| Num | Course | Credit | Precondition | Semester | Course Category | |
|---|---|---|---|---|---|---|
| Code | Name | |||||
| 1 | STA1201 | Matrix Algebra | 3(2-1) | - | 3 | Academic Core Courses |
| 2 | STA1303 | Statistical Inference | 3(2-1) | STA1202 - Teori Peluang - 3(2-1) | 5 | Academic Core Courses |
| 3 | STA1333 | Introduction to Linear Models | 3(2-1) | STA1231 - Analisis Regresi - 3(2-1) | 5 | In-depth Courses |
| 4 | STA1341 | Time Series Forecasting Methods | 3(2-1) | STA1231 - Analisis Regresi - 3(2-1) | 5 | Academic Core Courses |
| 5 | STA1381 | Introduction to Data Science | 3(2-1) | STA1231 - Analisis Regresi - 3(2-1) | 5 | Academic Core Courses |
| 6 | STA1342 | Multivariate Techniques | 3(2-1) | STA1201 - Aljabar Matriks - 3(2-1) | 5 | In-depth Courses |
| 7 | STA1343 | Introduction of Categorical Data Analysis | 3(2-1) | STA1211 - Metode Statistika - 3(2-1) | 5 | In-depth Courses |
| 8 | STA1497 | Colloquium | 1(0-1) | STA1391 - Metodologi Penelitian dan Telaah Pustaka - 2(2-0) | 7 | Final Year Project |
| 9 | STA1211 | Statistical Method | 3(2-1) | - | 3 | Academic Core Courses |
| 10 | STA1221 | Data Collection Methods | 3(2-1) | - | 3 | Academic Core Courses |
| 11 | STA1261 | Relational Data Management | 3(2-1) | - | 3 | Academic Core Courses |
| 12 | IPB1400 | Thematic Field Work | 4(1-3) | - | 7 | Capstone |
| 13 | STA1492 | Comprehensive Examination | 2(0-2) | STA1231 - Analisis Regresi - 3(2-1) | 7 | Final Year Project |
| 14 | STA1493 | Short Internship | 4(0-4) | STA1231 - Analisis Regresi - 3(2-1) | 7 | Capstone |
| 15 | STA1494 | Internship | 10(0-10) | STA1231 - Analisis Regresi - 3(2-1) | 7 | Capstone |
| 16 | STA1495 | Capstone Project | 4(0-4) | STA1231 - Analisis Regresi - 3(2-1) | 7 | Capstone |
| 17 | MAT1211 | Calculus II | 3(2-1) | MAT1104 - Kalkulus 1 - 3(2-1) | 3 | Foundational Literacies |
| 18 | KOM120B | Algorithm and Programming Basics | 3(2-1) | - | 3 | Foundational Literacies |
| 19 | STA1202 | Probability Theory | 3(2-1) | MAT1211 - Kalkulus II - 3(2-1) | 4 | Academic Core Courses |
| 20 | STA1231 | Regression Analysis | 3(2-1) | STA1211 - Metode Statistika - 3(2-1) | 4 | Academic Core Courses |
| 21 | STA1232 | Exploratory Data Analysis | 3(2-1) | STA1211 - Metode Statistika - 3(2-1) | 4 | In-depth Courses |
| 22 | STA1262 | Data Visualization | 3(2-1) | STA1211 - Metode Statistika - 3(2-1) | 4 | In-depth Courses |
| 23 | STA1222 | Experimental Design Methods | 3(2-1) | STA1211 - Metode Statistika - 3(2-1) | 4 | In-depth Courses |
| 24 | STA1223 | Sampling Techniques | 3(2-1) | STA1211 - Metode Statistika - 3(2-1) | 4 | In-depth Courses |
| 25 | STA1271 | Statistical Computation | 3(2-1) | KOM120B - Algoritme dan Dasar Pemrograman - 3(2-1) | 4 | Academic Core Courses |
| 26 | STA1382 | Machine Learning Techniques | 3(2-1) | STA1381 - Pengantar Sains Data - 3(2-1) | 6 | In-depth Courses |
| 27 | STA1372 | Simulation and Resampling Methods | 3(2-1) | STA1271 - Komputasi Statistika - 3(2-1) | 6 | In-depth Courses |
| 28 | STA1383 | Data Challenge | 3(2-1) | STA1231 - Analisis Regresi - 3(2-1) | 6 | In-depth Courses |
| 29 | STA1391 | Research Methodology and Literature Review | 2(2-0) | STA1381 - Pengantar Sains Data - 3(2-1) | 6 | Final Year Project |
| 30 | STA1312 | Introduction to Bayesian Statistics | 3(2-1) | STA1303 - Inferensi Statistika - 3(2-1) | 6 | In-depth Courses |
| 31 | STA1373 | Statistical Optimization | 3(2-1) | STA1371 - Komputasi Statistika - 3(2-1) | 6 | In-depth Courses |
| 32 | STA1498 | Seminar | 1(0-1) | - | 8 | Final Year Project |
| 33 | STA1499 | Undergraduate Thesis | 6(0-6) | - | 8 | Final Year Project |
| 34 | MAT1212 | Calculus III | 3(2-1) | MAT1211 - Kalkulus II - 3(2-1) | 4 | Foundational Literacies |
| 35 | STA1353 | Panel Data Analysis | 3(2-1) | STA1341 - Metode Peramalan Deret Waktu - 3(2-1) | 6 | In-depth Courses |
| 36 | STA1351 | Survival Analysis | 3(2-1) | STA1231 - Analisis Regresi - 3(2-1) | 6 | In-depth Courses |
| 37 | IPB110A | Religion of Islam | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 38 | IPB110D | Pancasila Education | 1(1-0) | - | 1 | PPKU/Common Core Courses |
| 39 | IPB110E | Citizenship Education | 1(1-0) | - | 1 | PPKU/Common Core Courses |
| 40 | IPB1106 | Indonesian Language | 2(1-1) | - | 2 | PPKU/Common Core Courses |
| 41 | IPB110F | English | 2(1-1) | - | 2 | PPKU/Common Core Courses |
| 42 | BIO1102 | Basic Biology | 3(2-1) | - | 2 | PPKU/Common Core Courses |
| 43 | FIS1104 | Physics for Science and Technology | 3(2-1) | - | 2 | PPKU/Common Core Courses |
| 44 | KIM1104 | Chemical Science and Technology | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 45 | IPB110C | Innovative Agriculture | 2(2-0) | - | 1 | PPKU/Common Core Courses |
| 46 | EKO1101 | Economy | 2(2-0) | - | 1 | PPKU/Common Core Courses |
| 47 | MAT1102 | Mathematics and Logical Thinking | 3(2-1) | - | 2 | PPKU/Common Core Courses |
| 48 | STA1111 | Statistics and Data Analysis | 3(3-0) | - | 2 | PPKU/Common Core Courses |
| 49 | KOM1102 | Computational Thinking | 2(2-0) | - | 1 | PPKU/Common Core Courses |
| 50 | IPB1101 | Christianity | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 51 | IPB1102 | Religion of Catholic | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 52 | IPB1103 | Religion of Hindu | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 53 | IPB1104 | Religion of Buddhist | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 54 | IPB110B | Religion Education | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 55 | MAT1104 | Calculus 1 | 3(2-1) | - | 2 | PPKU/Common Core Courses |
| 56 | KPM1131 | Sociology | 2(2-0) | - | 2 | PPKU/Common Core Courses |
| 57 | IPB110G | Sports/Arts | 1(0-1) | - | 1 | PPKU/Common Core Courses |
| 58 | STA1352 | Spatial Regression | 3(2-1) | STA1231 - Analisis Regresi - 3(2-1) | 5 | In-depth Courses |
| 59 | STA1354 | Statistical Quality Control | 3(2-1) | STA1211 - Metode Statistika - 3(2-1) | 5 | In-depth Courses |
Belum ada data
Develop statistical science in collecting/generating, managing and presenting data for quantitative analysis in drawing valid conclusions.