Study Program Undergraduate
In today’s world and in the future, data will remain the foundation of strategic decision-making across diverse fields. Graduates with strong data-handling skills, particularly those proficient in computational technologies, are highly sought after. The Bachelor’s Program in Statistics and Data Science has established an excellent reputation for producing resilient, fast-learning, and adaptive professionals in the field. Over the course of four years, students are equipped with knowledge, skills, and hands-on experience in data analytics, taught not only by expert faculty but also by practitioners from various applied domains.
Currently, the program holds the highest accreditation rating of EXCELLENT from BAN-PT. This accreditation reflects the efficiency of academic activities and high productivity. The program is supported by 29 faculty members, including 7 professors and 20 PhD holders, who are fully dedicated to managing the Statistics and Data Science curriculum. The program’s quality is further demonstrated by the achievements of its students, notably winning the overall championship at Satria Data for four consecutive years, from 2022 to 2025.
The curriculum is designed to balance mathematical foundations, computational skills, technological expertise, and applied competencies. Graduates are not only proficient in handling big data and machine learning but also skilled in designing data collection methods and presenting results through effective visualization. This comprehensive set of competencies ensures that, on average, graduates secure employment within three months after graduation.
To become a leading study program that produces graduates with integrity, adaptability, and innovation in applying statistics and data science for data-driven decision making that has a real impact on society, especially the advancement of science and sustainable agromaritime and tropical bioscience development at the national and global levels.
Mission1. Providing high-quality education in an innovative ecosystem that equips students with technical competence, integrity, and adaptive skills in statistics and data science
2. Playing an active role in impactful applied research to address real challenges in agromaritime, tropical bioscience, and other data-driven strategic decision-making.
3. Encouraging cross-disciplinary and cross-sector collaboration, both nationally and internationally, that supports the academic process and strengthens the contribution of statistics and data science to inclusive and sustainable development.
4. Instilling ethical values, usefulness, and transformational leadership in graduates so that they can become agents of change in society.
| Num | Course | Credit | Precondition | Semester | Course Category | |
|---|---|---|---|---|---|---|
| Code | Name | |||||
| 1 | IPB2101 | Christianity | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 2 | IPB2102 | Religion of Catholic | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 3 | IPB2103 | Religion of Hindu | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 4 | IPB2104 | Religion of Buddhist | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 5 | IPB210A | Religion of Islam | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 6 | IPB210B | Religion Education | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 7 | IPB210C | Innovative Agriculture | 2(2-0) | - | 1 | PPKU/Common Core Courses |
| 8 | IPB210D | Pancasila Education | 2(1-1) | - | 1 | PPKU/Common Core Courses |
| 9 | IPB210E | Citizenship Education | 2(1-1) | - | 1 | PPKU/Common Core Courses |
| 10 | IPB210H | Trust | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 11 | KIM2100 | General Chemistry | 2(2-0) | - | 1 | PPKU/Common Core Courses |
| 12 | MAT2111 | Mathematics and Logical Thinking | 3(2-1) | - | 1 | PPKU/Common Core Courses |
| 13 | STA2111 | Statistics and Data Analysis | 3(3-0) | - | 1 | PPKU/Common Core Courses |
| 14 | BIO2101 | General Biology | 2(2-0) | - | 2 | PPKU/Common Core Courses |
| 15 | EKO2101 | Basic Economics | 3(2-1) | - | 2 | PPKU/Common Core Courses |
| 16 | FIS2105 | General Physics | 2(2-0) | - | 2 | PPKU/Common Core Courses |
| 17 | IPB2106 | Indonesian Language | 2(1-1) | - | 2 | PPKU/Common Core Courses |
| 18 | IPB210F | English | 2(1-1) | - | 2 | PPKU/Common Core Courses |
| 19 | KOM2101 | Algorithms and Programming Fundamentals | 3(2-1) | - | 2 | PPKU/Common Core Courses |
| 20 | KOM2102 | Computational Thinking | 2(2-0) | - | 2 | PPKU/Common Core Courses |
| 21 | KPM2131 | Sociology | 2(2-0) | - | 2 | PPKU/Common Core Courses |
| 22 | MAT2112 | Calculus I | 3(2-1) | - | 2 | PPKU/Common Core Courses |
| 23 | KOM2206 | Databases | 3(2-1) | KOM2101 - Algoritme dan Dasar Pemrograman - 3(2-1) | 3 | Academic Core Courses |
| 24 | MAT2216 | Calculus IIA | 3(2-1) | MAT2112 - Kalkulus I - 3(2-1) | 3 | Foundational Literacies |
| 25 | STA2201 | Matrix Algebra | 3(2-1) | MAT2111 - Matematika dan Berpikir Logis - 3(2-1) | 3 | Foundational Literacies |
| 26 | STA2202 | Probability Theory | 3(2-1) | MAT2112 - Kalkulus I - 3(2-1) | 3 | Foundational Literacies |
| 27 | STA2211 | Statistical Method | 3(2-1) | STA2111 - Statistika dan Analisis Data - 3(3-0) | 3 | Academic Core Courses |
| 28 | STA2261 | Data Management and Exploration | 3(2-1) | STA2111 - Statistika dan Analisis Data - 3(3-0) | 3 | Academic Core Courses |
| 29 | STA2203 | Statistical Inference | 3(2-1) | STA2202 - Teori Peluang - 3(2-1) | 4 | Foundational Literacies |
| 30 | STA2221 | Sampling Techniques | 3(2-1) | STA2211 - Metode Statistika - 3(2-1) | 4 | Academic Core Courses |
| 31 | STA2222 | Experimental Design Methods | 3(2-1) | STA2211 - Metode Statistika - 3(2-1) | 4 | Academic Core Courses |
| 32 | STA2231 | Regression Analysis | 3(2-1) | STA2211 - Metode Statistika - 3(2-1) | 4 | Academic Core Courses |
| 33 | STA2271 | Statistical Computation | 3(2-1) | KOM2101 - Algoritme dan Dasar Pemrograman - 3(2-1) | 4 | Foundational Literacies |
| 34 | STA2281 | Introduction to Data Science | 3(2-1) | STA2261 - Manajemen dan Eksplorasi Data - 3(2-1) | 4 | Academic Core Courses |
| 35 | STA2323 | Bayesian analysis | 3(2-1) | STA2203 - Inferensi Statistika - 3(2-1) | 5 | In-depth Courses |
| 36 | STA2332 | Linear Model | 3(2-1) | STA2201 - Aljabar Matriks - 3(2-1) | 5 | In-depth Courses |
| 37 | STA2341 | Time Series Forecasting Methods | 3(2-1) | STA2231 - Analisis Regresi - 3(2-1) | 5 | In-depth Courses |
| 38 | STA2342 | Multivariate Techniques | 3(2-1) | STA2211 - Metode Statistika - 3(2-1) | 5 | In-depth Courses |
| 39 | STA2343 | Introduction of Categorical Data Analysis | 3(2-1) | STA2211 - Metode Statistika - 3(2-1) | 5 | In-depth Courses |
| 40 | STA2353 | Spatial Regression | 3(2-1) | STA2231 - Analisis Regresi - 3(2-1) | 5 | In-depth Courses |
| 41 | STA2355 | Statistical Quality Control | 3(2-1) | STA2211 - Metode Statistika - 3(2-1) | 5 | In-depth Courses |
| 42 | STA2372 | Statistical Optimization | 3(2-1) | STA2271 - Komputasi Statistika - 3(2-1) | 5 | In-depth Courses |
| 43 | STA2382 | Machine Learning Techniques | 3(2-1) | - | 5 | In-depth Courses |
| 44 | KEB2326 | Introduction to Deep Learning | 3(2-1) | STA2382 - Teknik Pembelajaran Mesin - 3(2-1) | 6 | In-depth Courses |
| 45 | STA2351 | Data Challenge | 3(2-1) | - | 6 | Capstone |
| 46 | STA2352 | Survival Analysis | 3(2-1) | STA2231 - Analisis Regresi - 3(2-1) | 6 | In-depth Courses |
| 47 | STA2354 | Panel Data Analysis | 3(2-1) | STA2231 - Analisis Regresi - 3(2-1) | 6 | In-depth Courses |
| 48 | STA2362 | Data Visualization | 3(2-1) | STA2211 - Metode Statistika - 3(2-1) | 6 | In-depth Courses |
| 49 | STA2373 | Simulation and Resampling Methods | 3(2-1) | STA2271 - Komputasi Statistika - 3(2-1) | 6 | In-depth Courses |
| 50 | STA2391 | Research Methodology and Literature Review | 2(2-0) | - | 6 | Final Year Project |
| 51 | IPB1400 | Thematic Field Work | 4(1-3) | - | 7 | Capstone |
| 52 | STA2492 | Comprehensive Examination | 1(0-1) | - | 7 | In-depth Courses |
| 53 | STA2493 | Short Internship | 4(0-4) | - | 7 | Capstone |
| 54 | STA2494 | Internship | 10(0-10) | - | 7 | Capstone |
| 55 | STA2495 | Capstone Project | 4(0-4) | - | 7 | Capstone |
| 56 | STA2497 | Colloquium | 1(0-1) | STA2391 - Metode Penelitian dan Telaah Pustaka - 2(2-0) | 7 | Final Year Project |
| 57 | STA2498 | Seminar | 1(0-1) | STA2497 - Kolokium - 1(0-1) | 8 | Final Year Project |
| 58 | STA2499 | Undergraduate Thesis | 6(0-6) | STA2498 - Seminar - 1(0-1) | 8 | Final Year Project |
Belum ada data
Developing statistics and data science that are useful in leveraging data to extract information, draw conclusions, and recommend actions, encompassing the processes of data collection/generation, data management and presentation, and modeling.