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To become an educational institution for doctoral program and developing statistics and data science international standard that contribute to science and technology, particularly in the fields of Computing, Business and Industry, Economics and Finance, Social and Population, and Environment and Health.
To Produce Doctoral graduates of Statistics who are noble, have good and independent personalities, have professional and ethical abilities, have high integrity and responsibility, and are able to develop themselves and compete at the international level.
To Produce qualified Doctoral graduates of Statistics who can have careers as lecturers, researchers, consultants, and practitioners in the field of Statistics and Data Science based on computing who are able to produce research in the development of high-quality Statistics and Data Science with its application in the fields of Industry, Business, Economy, Social, Health, and Environment and publish it internationally.
To Produce Doctoral graduates of Statistics who have the character of being able to develop themselves with lifelong learning through research, training, and professional activities.
The curriculum of the Doctoral Program of Statistics is designed based on the learning outcomes of graduates, referring to the Indonesian National Qualifications Framework (KKNI) and the National Higher Education Standards (SN-DIKTI). Our tracking study reveals that our graduates work in the following fields:
The study load for the Doctoral Programme of Statistics is 44 credits (SKS), equivalent to 79.2 ECTS, and is normally completed over six semesters. The curriculum consists of 13 credits of compulsory courses, 3 credits of elective courses, and 28 credits for dissertation and publication activities, comprising Dissertation I–V and Publication I–III. The study load is distributed across six semesters: 11 credits in Semester I, 9 credits in Semester II, 5 credits in Semester III, 6 credits in Semester IV, 7 credits in Semester V, and 6 credits in Semester VI. The curriculum is complemented by additional academic activities supporting dissertation preparation, scientific publication, and English proficiency. These activities include additional workload embedded in courses, dissertation support work from proposal development through dissertation examination, international seminar and journal publication activities, and TOEFL preparation, corresponding to an additional workload of 72 credits (129.6 ECTS).
This section presents various academic achievements and scholarly works produced by students during their studies in the Department of Statistics. The information includes scientific publications, journal articles, and other forms of academic output that reflect students’ learning and research activities, as well as their contributions to the advancement of knowledge.