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.

Vision

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.

Mission

1. 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 EKO1101 Economy 2(2-0) - 1 PPKU/Common Core Courses
2 EKO1101 Economy 2(2-0) - 1 PPKU/Common Core Courses
3 EKO1101 Economy 2(2-0) - 1 PPKU/Common Core Courses
4 EKO1101 Economy 2(2-0) - 1 PPKU/Common Core Courses
5 IPB1101 Christianity 3(2-1) - 1 PPKU/Common Core Courses
6 IPB1102 Religion of Catholic 3(2-1) - 1 PPKU/Common Core Courses
7 IPB1103 Religion of Hindu 3(2-1) - 1 PPKU/Common Core Courses
8 IPB1103 Religion of Hindu 3(2-1) - 1 PPKU/Common Core Courses
9 IPB1104 Religion of Buddhist 3(2-1) - 1 PPKU/Common Core Courses
10 IPB1104 Religion of Buddhist 3(2-1) - 1 PPKU/Common Core Courses
11 IPB110A Religion of Islam 3(2-1) - 1 PPKU/Common Core Courses
12 IPB110B Religion Education 3(2-1) - 1 PPKU/Common Core Courses
13 IPB110C Innovative Agriculture 2(2-0) - 1 PPKU/Common Core Courses
14 IPB110C Innovative Agriculture 2(2-0) - 1 PPKU/Common Core Courses
15 IPB110C Innovative Agriculture 2(2-0) - 1 PPKU/Common Core Courses
16 IPB110C Innovative Agriculture 2(2-0) - 1 PPKU/Common Core Courses
17 IPB110D Pancasila Education 1(1-0) - 1 PPKU/Common Core Courses
18 IPB110D Pancasila Education 1(1-0) - 1 PPKU/Common Core Courses
19 IPB110E Citizenship Education 1(1-0) - 1 PPKU/Common Core Courses
20 IPB110E Citizenship Education 1(1-0) - 1 PPKU/Common Core Courses
21 IPB110G Sports/Arts 1(0-1) - 1 PPKU/Common Core Courses
22 KIM1104 Chemical Science and Technology 3(2-1) - 1 PPKU/Common Core Courses
23 KIM1104 Chemical Science and Technology 3(2-1) - 1 PPKU/Common Core Courses
24 KIM1104 Chemical Science and Technology 3(2-1) - 1 PPKU/Common Core Courses
25 KOM1102 Computational Thinking 2(2-0) - 1 PPKU/Common Core Courses
26 KOM1102 Computational Thinking 2(2-0) - 1 PPKU/Common Core Courses
27 KOM1102 Computational Thinking 2(2-0) - 1 PPKU/Common Core Courses
28 BIO1102 Basic Biology 3(2-1) - 2 PPKU/Common Core Courses
29 BIO1102 Basic Biology 3(2-1) - 2 PPKU/Common Core Courses
30 BIO1102 Basic Biology 3(2-1) - 2 PPKU/Common Core Courses
31 BIO1102 Basic Biology 3(2-1) - 2 PPKU/Common Core Courses
32 FIS1104 Physics for Science and Technology 3(2-1) - 2 PPKU/Common Core Courses
33 FIS1104 Physics for Science and Technology 3(2-1) - 2 PPKU/Common Core Courses
34 IPB1106 Indonesian Language 2(1-1) - 2 PPKU/Common Core Courses
35 IPB1106 Indonesian Language 2(1-1) - 2 PPKU/Common Core Courses
36 IPB110F English 2(1-1) - 2 PPKU/Common Core Courses
37 IPB110F English 2(1-1) - 2 PPKU/Common Core Courses
38 KPM1131 Sociology 2(2-0) - 2 PPKU/Common Core Courses
39 KPM1131 Sociology 2(2-0) - 2 PPKU/Common Core Courses
40 KPM1131 Sociology 2(2-0) - 2 PPKU/Common Core Courses
41 KPM1131 Sociology 2(2-0) - 2 PPKU/Common Core Courses
42 MAT1101 Mathematics and Logical Thinking 3(2-1) - 2 PPKU/Common Core Courses
43 MAT1102 Calculus I 3(2-1) - 2 PPKU/Common Core Courses
44 STA1111 Statistics and Data Analysis 3(3-0) - 2 PPKU/Common Core Courses
45 STA1111 Statistics and Data Analysis 3(3-0) - 2 PPKU/Common Core Courses
46 STA1111 Statistics and Data Analysis 3(3-0) - 2 PPKU/Common Core Courses
47 KOM120B Algorithm and Programming Basics 3(2-1) - 3 Foundational Literacies
48 MAT1211 Calculus II 3(2-1) MAT1102 - Kalkulus I - 3(2-1) 3 Foundational Literacies
49 MAT1211 Calculus II 3(2-1) MAT1102 - Kalkulus I - 3(2-1) 3 Foundational Literacies
50 STA1201 Matrix Algebra 3(2-1) - 3 Academic Core Courses
51 STA1211 Statistical Method 3(2-1) - 3 Academic Core Courses
52 STA1211 Statistical Method 3(2-1) - 3 Academic Core Courses
53 STA1211 Statistical Method 3(2-1) - 3 Academic Core Courses
54 STA1221 Data Collection Methods 3(2-1) - 3 Academic Core Courses
55 STA1261 Relational Data Management 3(2-1) - 3 Academic Core Courses
56 MAT1212 Calculus III 3(2-1) MAT1211 - Kalkulus II - 3(2-1) 4 Foundational Literacies
57 MAT1212 Calculus III 3(2-1) MAT1211 - Kalkulus II - 3(2-1) 4 Foundational Literacies
58 STA1202 Probability Theory 3(2-1) MAT1211 - Kalkulus II - 3(2-1) 4 Academic Core Courses
59 STA1202 Probability Theory 3(2-1) MAT1211 - Kalkulus II - 3(2-1) 4 Academic Core Courses
60 STA1202 Probability Theory 3(2-1) MAT1211 - Kalkulus II - 3(2-1) 4 Academic Core Courses
61 STA1222 Experimental Design Methods 3(2-1) STA1211 - Metode Statistika - 3(2-1) 4 In-depth Courses
62 STA1222 Experimental Design Methods 3(2-1) STA1211 - Metode Statistika - 3(2-1) 4 In-depth Courses
63 STA1223 Sampling Techniques 3(2-1) STA1211 - Metode Statistika - 3(2-1) 4 In-depth Courses
64 STA1223 Sampling Techniques 3(2-1) STA1211 - Metode Statistika - 3(2-1) 4 In-depth Courses
65 STA1231 Regression Analysis 3(2-1) STA1211 - Metode Statistika - 3(2-1) 4 Academic Core Courses
66 STA1232 Exploratory Data Analysis 3(2-1) STA1211 - Metode Statistika - 3(2-1) 4 In-depth Courses
67 STA1232 Exploratory Data Analysis 3(2-1) STA1211 - Metode Statistika - 3(2-1) 4 In-depth Courses
68 STA1262 Data Visualization 3(2-1) STA1211 - Metode Statistika - 3(2-1) 4 In-depth Courses
69 STA1262 Data Visualization 3(2-1) STA1211 - Metode Statistika - 3(2-1) 4 In-depth Courses
70 STA1271 Statistical Computation 3(2-1) KOM120B - Algoritme dan Dasar Pemrograman - 3(2-1) 4 Academic Core Courses
71 STA1271 Statistical Computation 3(2-1) KOM120B - Algoritme dan Dasar Pemrograman - 3(2-1) 4 Academic Core Courses
72 STA1303 Statistical Inference 3(2-1) STA1202 - Teori Peluang - 3(2-1) 5 Academic Core Courses
73 STA1303 Statistical Inference 3(2-1) STA1202 - Teori Peluang - 3(2-1) 5 Academic Core Courses
74 STA1303 Statistical Inference 3(2-1) STA1202 - Teori Peluang - 3(2-1) 5 Academic Core Courses
75 STA1333 Introduction to Linear Models 3(2-1) STA1231 - Analisis Regresi - 3(2-1) 5 In-depth Courses
76 STA1341 Time Series Forecasting Methods 3(2-1) STA1231 - Analisis Regresi - 3(2-1) 5 Academic Core Courses
77 STA1342 Multivariate Techniques 3(2-1) STA1201 - Aljabar Matriks - 3(2-1) 5 In-depth Courses
78 STA1343 Introduction of Categorical Data Analysis 3(2-1) STA1211 - Metode Statistika - 3(2-1) 5 In-depth Courses
79 STA1352 Spatial Regression 3(2-1) STA1231 - Analisis Regresi - 3(2-1) 5 In-depth Courses
80 STA1354 Statistical Quality Control 3(2-1) STA1211 - Metode Statistika - 3(2-1) 5 In-depth Courses
81 STA1381 Introduction to Data Science 3(2-1) STA1231 - Analisis Regresi - 3(2-1) 5 Academic Core Courses
82 STA1381 Introduction to Data Science 3(2-1) STA1231 - Analisis Regresi - 3(2-1) 5 Academic Core Courses
83 STA1312 Introduction to Bayesian Statistics 3(2-1) STA1303 - Inferensi Statistika - 3(2-1) 6 In-depth Courses
84 STA1312 Introduction to Bayesian Statistics 3(2-1) STA1303 - Inferensi Statistika - 3(2-1) 6 In-depth Courses
85 STA1351 Survival Analysis 3(2-1) STA1231 - Analisis Regresi - 3(2-1) 6 In-depth Courses
86 STA1351 Survival Analysis 3(2-1) STA1231 - Analisis Regresi - 3(2-1) 6 In-depth Courses
87 STA1353 Panel Data Analysis 3(2-1) STA1341 - Metode Peramalan Deret Waktu - 3(2-1) 6 In-depth Courses
88 STA1353 Panel Data Analysis 3(2-1) STA1341 - Metode Peramalan Deret Waktu - 3(2-1) 6 In-depth Courses
89 STA1353 Panel Data Analysis 3(2-1) STA1341 - Metode Peramalan Deret Waktu - 3(2-1) 6 In-depth Courses
90 STA1372 Simulation and Resampling Methods 3(2-1) STA1271 - Komputasi Statistika - 3(2-1) 6 In-depth Courses
91 STA1372 Simulation and Resampling Methods 3(2-1) STA1271 - Komputasi Statistika - 3(2-1) 6 In-depth Courses
92 STA1373 Statistical Optimization 3(2-1) STA1371 - Komputasi Statistika - 3(2-1) 6 In-depth Courses
93 STA1373 Statistical Optimization 3(2-1) STA1371 - Komputasi Statistika - 3(2-1) 6 In-depth Courses
94 STA1382 Machine Learning Techniques 3(2-1) STA1381 - Pengantar Sains Data - 3(2-1) 6 In-depth Courses
95 STA1383 Data Challenge 3(2-1) STA1231 - Analisis Regresi - 3(2-1) 6 In-depth Courses
96 STA1383 Data Challenge 3(2-1) STA1231 - Analisis Regresi - 3(2-1) 6 In-depth Courses
97 STA1391 Research Methodology and Literature Review 2(2-0) STA1381 - Pengantar Sains Data - 3(2-1) 6 Final Year Project
98 STA1391 Research Methodology and Literature Review 2(2-0) STA1381 - Pengantar Sains Data - 3(2-1) 6 Final Year Project
99 IPB303 Professional Experience 3(0-3) - 7 Capstone
100 IPB309 Innovation & Design Thinking 3(0-3) - 7 Capstone
101 STA1492 Comprehensive Examination 2(0-2) STA1231 - Analisis Regresi - 3(2-1) 7 Final Year Project
102 STA1492 Comprehensive Examination 2(0-2) STA1231 - Analisis Regresi - 3(2-1) 7 Final Year Project
103 STA1493 Short Internship 4(0-4) STA1231 - Analisis Regresi - 3(2-1) 7 Capstone
104 STA1494 Internship 10(0-10) STA1231 - Analisis Regresi - 3(2-1) 7 Capstone
105 STA1495 Capstone Project 4(0-4) STA1231 - Analisis Regresi - 3(2-1) 7 Capstone
106 STA1495 Capstone Project 4(0-4) STA1231 - Analisis Regresi - 3(2-1) 7 Capstone
107 STA1497 Colloquium 1(0-1) STA1391 - Metodologi Penelitian dan Telaah Pustaka - 2(2-0) 7 Final Year Project
108 STA1497 Colloquium 1(0-1) STA1391 - Metodologi Penelitian dan Telaah Pustaka - 2(2-0) 7 Final Year Project
109 STA1497 Colloquium 1(0-1) STA1391 - Metodologi Penelitian dan Telaah Pustaka - 2(2-0) 7 Final Year Project
110 STA1498 Seminar 1(0-1) - 8 Final Year Project
111 STA1498 Seminar 1(0-1) - 8 Final Year Project
112 STA1498 Seminar 1(0-1) - 8 Final Year Project
113 STA1499 Undergraduate Thesis 6(0-6) - 8 Final Year Project
114 STA1499 Undergraduate Thesis 6(0-6) - 8 Final Year Project
115 STA1499 Undergraduate Thesis 6(0-6) - 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.