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S1: Bachelor of Statistics and Data Science

Brief Profile

Statistics and Data Science study program is a part of Faculty of Mathematics & Natural Science at Universitas Negeri Semarang which aims to produce graduates who are competent and capable in the field of statistics and data science and make them ready to enter the world of work.

The profile of study program graduates is to become academics and researchers as well as practitioners in the fields of statistics and data science, such as statisticians, data scientists, data analysts and data engineers. The excellent field of study in the UNNES Statistics and Data Science study program is related to statistical modeling and data soft computing which includes applications in various scientific and practical fields. The problem of extracting information and knowledge from data (data mining) is a fundamental problem that requires data modeling and soft computing in real world problems.

Accreditation and Sertification

“Good” Accreditation 

Number 4655/SK/BAN-PT/Ak.P/S/XI/2023

Accreditation Expiration Date: 11/08/2025

Academics Title

Bachelor of Statistics

Opportunities

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.

A. Academics.
B. Statistical and Data Science Practitioner.
1. Statistics,
2. Data scientist
3. Data analysts in various fields who research information using data analysis tools and are responsible for translating the data

Domestic Partnerships

  1. Badan Pusat Statistik
  2. Dinas Komunikasi dan Informasi
  3. Badan Meteorologi dan Geofisika

Foreign Partnerships

  1. Badan Pusat Statistik
  2. Dinas Komunikasi dan Informasi
  3. Badan Meteorologi dan Geofisika

Industry Partnerships

  1. Greatedu Global Mahardika

Featured Facility

  1. Data Science Laboratory

Featured Activities

  1. “Desa Cantik” Collaboration with BPS

Lecturer Expertise

  1. Statistical
  2. Computing
  3. Data Science
  4. Machine Learning and Deep Learning
  5. Artificial Intelligence

Contact

Faculty of Mathematics & Natural Science

D7 Building, 1st floor

Sekaran, Gunungpati, Semarang

Email: [email protected]

Instagram: statistikasainsdataid

 

Head of Study Program

Dr. Iqbal Kharisudin, M.Sc.

[email protected]

Admission

Admission Information

GDPR

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