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.

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.