Study Program Doctorate

The Doctoral Program in Statistics and Data Science at IPB University is designed to produce scholars and innovators capable of leading the advancement of statistical theory and data science methodologies. In line with current global developments, statistics and data science are no longer auxiliary disciplines but serve as core components in data-driven decision making, artificial intelligence, predictive analytics, and technological innovation across sectors.

This program provides a rigorous academic environment to develop advanced theoretical understanding, high-level methodological competence, and cutting-edge computational expertise. Graduates are expected to demonstrate strong capabilities in developing new statistical methods, designing innovative data science approaches, and applying them ethically and responsibly in multidisciplinary contexts.

The curriculum is structured based on Outcome-Based Education (OBE) principles and aligned
with:
• The Indonesian National Qualifications Framework (IQF) – Level 9,
• International benchmarks, such as the Curriculum Guidelines for Data Science from the American Statistical Association (ASA),
• The Data Science Competency Framework by the European Data Science Academy (EDSA),
• And stakeholder input from academia, industry, and research institutions.

Key learning outcomes include:
• The ability to conduct original and publishable research in statistics and data science.
• The capacity to integrate theoretical knowledge and practical skills to solve real-world problems using data-driven approaches.
• Leadership in interdisciplinary research teams and academic communities.
• Ethical awareness and global perspectives in applying data science solutions to societal challenges.

The program has achieved “UNGGUL” (Excellent) accreditation from the National Accreditation Board for Higher Education (BAN-PT), reflecting its quality assurance, academic excellence, and national leadership in the field.

Through its strong research orientation, national and international collaborations, and emphasis on innovation, the Doctoral Program in Statistics and Data Science – IPB University is committed to contributing to global knowledge development and to shaping data-literate
leaders for a sustainable future.

Vision

To be a Doctoral Study Program in Statistics and Data Science that is excellent and reputable at national and international levels in the development of theory, methodology, and applications of statistics and data science, to support innovative and sustainable data-driven decision-making.

Mission

1. To provide high-quality doctoral education to produce graduates capable of developing statistical and data science independently, creatively, and innovatively.
2. To develop excellence in research within the fields of theoretical statistics, applied statistics, statistical computing, and data science that contributes to the advancement of knowledge and the resolution of national and global issues.
3. To promote reputable international scientific publications and the dissemination of research results that impact the development of science, industry, government, and society.
4. To strengthen academic and professional collaboration with universities, research institutions, government, and industry at both national and international levels.
5. To foster academic integrity, research ethics, and scientific leadership in the fields of statistics and data science.

Num Course Credit Precondition Semester Course Category
Code Name
1 PPS1704 Philosophy of Science 2(2-0) - 1 PPKU/Common Core Courses
2 STA1631 Generalized Linear Models 3(2-1) - 1 Enrichment Program
3 STA1791 Special Topics in Statistics and Data Science 3(2-1) - 1 Academic Core Courses
4 STA1701 Advanced Statistical Inference 3(2-1) - 2 Academic Core Courses
5 STA1701 Advanced Statistical Inference 3(2-1) - 2 Academic Core Courses
6 STA1751 Advanced Data Analysis 3(2-1) - 2 Academic Core Courses
7 STA179A Written Qualification Exam 2(0-2) - 2 Final Year Project
8 STA1797 Colloquium 1(0-1) - 3 Final Year Project
9 STA179B Oral Qualification Examination 2(0-2) - 3 Final Year Project
10 STA179C Dissertation Proposal 2(0-2) - 3 Final Year Project
11 PPS1792 National Scientific Publication 2(0-2) - 4 Final Year Project
12 PPS1793 International Scientific Publication 3(0-3) - 5 Final Year Project
13 PPS1791 Disertation Seminar 1(0-1) - 6 Final Year Project
14 STA179D Dissertation 12(0-12) - 6 Final Year Project
15 STA179E Dissertation Examination 3(0-3) - 6 Final Year Project

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Develop statistical science in collecting/generating, managing and presenting data for quantitative analysis in drawing valid conclusions.