Statistics and Data Science (SSD) is one of the undergraduate study programs at the Faculty of Mathematics and Natural Sciences, Semarang State University, which was established in 2023. The SSD study program produces undergraduate graduates with a S.Stat. degree who are competent and capable in the fields of statistics and data science and make them ready to enter the world of work. Statistics is a multidisciplinary science, so that graduates can work in various fields. The profile of graduates of the Statistics and Data Science undergraduate study program is divided into 2 groups, namely students or researchers and statistics practitioners. Academics and researchers are people who have the education, capacity, and capability to carry out learning in an educational institution (academic field) and/or carry out research activities in their professional development. The profile of graduates as statistics and data science practitioners includes statisticians, data scientists, data analysts, and data technicians (data engineers). The leading fields of study of the Statistics and Data Science study program at UNNES are related to statistical modeling and soft computing data which include applications in various fields of science and practical applications.

“Good” Accreditation 

Number 6168/SK/BAN-PT/Ak.P/S/IV/2025

Accreditation Expiration Date: 14/04/2027

The Bachelor of Statistics and Data Science Program is a study program that provides academic education in statistics and data science that develops statistical modeling skills and innovative technologies in data science to create a superior, competent, conservation-minded, and internationally reputable generation.

SK Dean Number: B/6240/UN37.1.4/HK.04/2024

The mission of the Statistics and Data Science Undergraduate Study Program is:

1. Provide superior, competent, conservation-oriented, and internationally reputable education and teaching in the fields of statistics, data science, and their applications.
2. Conduct innovative technological research in the fields of statistical modeling, data science, and their conservation-based applications to support sustainable development.
3. Conduct community service in the field of statistics and its applications to disseminate data science and meaningful research results to the wider community.
4. Collaborate with domestic and international institutions to support sustainable development.

Graduates of this study program are expected to be competent and qualified in the fields of statistics and data science, making them ready to enter the world of work. Statistics is a multidisciplinary science, so its graduates can work in various fields. The graduates’ profile is divided into two groups: academics, researchers, and statistical practitioners.

1. Academics
2. Statistical and Data Science Practitioner
3. Statistics
4. Data scientist
5. Data analysts

1. Badan Meteorologi dan Geofisika
2. Badan Pusat Statistik
3. BPJS
4. Dinas Komunikasi dan Informasi
5. Dinas Kesehatan
6. Dinas Kependudukan
7. Dinas Ketenagakerjaan
8. Dinas Pekerjaan Umum dan Penataan Ruang
9. Dinas Pendidikan
10. FORSTAT (Forum Pendidikan Tinggi Statistika)
11. KOMPAS Gramedia Group
12. PLN Energi Primer Indonesia
13. PT Telekomunikasi Selular Regional Jateng-DIY
14. Universitas Bengkulu
15. Universitas Brawijaya
16. Universitas Diponegoro
17. Universitas Gajah Mada
18. Universitas Islam Indonesia
19. Universitas Negeri Lampung
20. UIN KH Abdurrahman Wahid Pekalongan

1. CONSIGLI Norway
2. Federal University of Bahia, Salvador, Brazil
3. Kasetsart University
4. Prince of Songkla University Thailand
5. Universiti Teknologi Malaysia (UTM)
6. Universiti Malaya Malaysia (UM)
7. Universiti Pendidikan Sultan Idris (UPSI)
8. ⁠Universiti Malaysia Perlis (UNIMAP)
9. Universiti Malaysia Pahang Al-Sultan Abdullah (UMPSA)
10. Universiti Teknologi MARA (UiTM)

1. BKP UNNES (Kampus Berdampak)
2. Competency Certification
3. Data Champions Society (DCS)
4. Kolaborasi Desa Cantik dengan BPS
5. Mathematics Computing Club (MCC)
6. UKM Mahasiswa
7. International Student Mobility
8. Practitioner Lecturer
9. ⁠Industry Lecturer/Instructor
10. ⁠Adjunct Professor

1. Prof. Dr. St. Budi Waluya, M.Si.
2. Prof. Dr. rer.nat. YL Sukestiyarno, M.S.
3. Dr. Scolastika Mariani, M.Si.
4. Dr. Walid, S.Pd., M.Si.
5. Zaenal Abidin S.Si., M.Cs., Ph.D.
6. Dr. Isnaini Rosyida, M.Si.
7. Dr. Iqbal Kharisudin, M.Sc.
8. Dr. Putriaji Hendikawati S.Si., M.Pd., M.Sc.
9. Anggyi Trisnawan Putra, S.Si., M.Si.
10. Muhammad Iqbal, S.Kom., M.Kom.
11. Kholiq Budiman, S.Pd., M.Kom.