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Doctoral Degree

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Vision

The Doctoral Program in Mathematics (PSDM) ITS focuses on the development of applied mathematics, focused on strong capabilities in analysis, algebra, and computing. This focus is supported by a team of competent experts in Applied Mathematics—comprising six professors and fifteen PhD holders—as evidenced by the research track records and publications of ITS mathematics faculty members. Key research areas include computational fluid dynamics, optimal control and estimation, max-plus algebra, mathematical biology, data assimilation, bioinformatics, and image/video analysis Registration information is available at https://www.its.ac.id/admission/pascasarjana/informasi-pendaftaran/ If you are interested to register in Mathematics Doctoral Program ITS, please join the WhatsApp Group via the following link : https://chat.whatsapp.com/IVsvPPiGC1i99GWXmb5Sqd

Vision

Becoming a Doctor of Mathematics Study Program with international reputation in research and development of mathematics, especially in industry and marine with an environmental perspective

Mission

Mission of Education

  1. Organizing doctoral education in mathematics to produce graduates of international quality and mastering concepts in the fields of analysis, algebra, and computing and their application.
  2. To produce a doctor of mathematics who is faithful and devoted to God Almighty

Mission of Research

  1. Take an active role in the development of mathematics and its application through research activities and publications of international quality, especially in the fields of algebra, analysis, modeling and computing.
  2. To produce a doctor of mathematics who is able to carry out continuous research

Mission of Community Service

Empower departmental resources to play an active role in solving problems faced by society, industry, and government by integrating analysis, algebra, modeling and computing.

Mission of Management

  1. Develop networks and synergize with domestic and foreign universities, industry, society, and government in the implementation of the Tridharma of Higher Education in the field of mathematics and its applications.
  2. Improving the competence of lecturers and education staff to be more creative and professional in carrying out their duties

Program Educational Objectives

  • To produce graduates who can have careers as academics and researchers who can use their knowledge, skills and experience to solve real problems when carrying out their professional practice.
  • Individuals who are able to develop research networks related to the application of mathematics to real life problems, especially in the fields of industry, energy, marine, finance and information technology, as well as produce new works based on local wisdom.
  • Individuals who are able to develop a career, can work individually and in a team, have a leadership and managerial spirit.

Alumni Profile

Graduates of the Doctoral Program in Mathematics are expected to work in the following fields:
  • Academics
  • Researcher

Program Learning Outcomes

Attitude PLO 1 Able to demonstrate attitudes and characters that reflect: piety to God Almighty, ethics and integrity, virtuous character, sensitive and caring for social and environmental issues, respecting cultural differences and pluralism, upholding law enforcement prioritizing the interests of the nation and the wider community, through creativity and innovation, excellence, strong leadership, synergy, and other potentials to achieve maximum results.
General Skills PLO 2 Able to develop new theories / conceptions / ideas and solve science and / or technology problems in their scientific fields through research with inter, multi and transdisciplinary approaches to produce creative, original, and tested works in the form of dissertations and papers that have been published in reputable international journals.
PLO 3 Able to manage their own learning, and develop themselves as personal lifelong learners to compete at national and international levels, in order to make a real contribution to solving problems by implementing information and communication technology and paying attention to the principle of sustainability.
Specialized Skills PLO 4 Able to solve problems with critical and creative thinking
PLO 5 Able to conduct independent research with ethics and responsibility
PLO 6 Able to communicate mathematical concepts effectively both orally and in writing
Knowledge PLO 7 Able to generalize complex mathematical problems

Curriculum

Under the 2023 curriculum, the study load for doctoral students is 42 credits, scheduled over six semesters, with a maximum duration of 14 semesters—including the completion of the dissertation (ITS Academic Regulations 2023). The Doctoral Program in Mathematics offers three areas of specialization: Analysis and Applied Algebra; Applied and Industrial Mathematics; and Data Science and Computing. The following table presents the curriculum structure based on study load and course type. Table 1. Curriculum Structure of the Doctoral Program in Mathematics
Study Components Credit Load Information
Compulsory Courses 6 SKS
  1. Philosophy of Science (3 SKS)
  2. Scientific Writing (3 SKS)
Dissertation 18 SKS
  1. Dissertation I (3 SKS)
  2. Dissertation II (3 SKS)
  3. Dissertation III (3 SKS)
  4. Dissertation IV (3 SKS)
  5. Dissertation V (6 SKS)
Publication 10 SKS
  1. Publication I (3 SKS)
  2. Publication II (3 SKS)
  3. Publication III (4 SKS)
Dissertation-Supporting Courses 8 SKS Determined based on the dissertation research topic
Total 42 SKS
Table 2. Recommended course taking scheme in 6 semesters
Semester Course Name SKS Information
1 Philosophy of Science 3
Dissertation-Supporting Courses 6
2 Dissertation I 3 Qualification Exam
Scientific Writing 3
Dissertation-Supporting Courses 2
3 Dissertation II 3 Progress Report
Publication I 3 International Conference
4 Dissertation III 3 Progress Report
Publication II 3 International Conference
5 Dissertation IV 3 Progress Report
Publication III 4 International Journal
6 Dissertation V 6 Dissertation Exam
Table 3. Dissertation-Supporting Courses
Applied Analysis and Algebra Applied and Industrial Mathematics Data Science and Computing
  1. Riset Terkini dalam Analisis (3 SKS)
  2. Riset Terkini dalam Aljabar (3 SKS)
  3. Riset Terkini dalam Graf (3 SKS)
  4. Riset Terkini dalam Analisis Terapan (3 SKS)
  5. Riset Terkini dalam Aljabar Terapan (3 SKS)
  1. Asimilasi Data (3 SKS)
  2. Pemodelan Matematika (3 SKS)
  3. Sistem Dinamik (3 SKS)
  4. Analisis Risiko (3 SKS)
  5. Persamaan Diferensial Numerik (3 SKS)
  6. Komputasi Dinamika Fluida (3 SKS)
  7. Sistem dan Kontrol (3 SKS)
  8. Matematika Keuangan (3 SKS)
  9. Topik Matematika Terapan (3 SKS)
  10. Optimasi Sistem (3 SKS)
  1. Riset Terkini dalam Pembelajaran Mesin (3 SKS)
  2. Riset Terkini dalam Verifikasi Formal (3 SKS)
  3. Riset Terkini dalam Sains Data dan Komputasi (3 SKS)
  4. Riset Terkini dalam Bioinformatika (3 SKS)
  5. Riset Terkini dalam Visi Komputer (3 SKS)

List of Courses

No Nama Mata Kuliah (MK) SKS Download
1 Filsafat Ilmu 3  Silabus
2 MK Pendukung Disertasi 6

Research Track

The research-track doctoral program is designed to facilitate doctoral education through a research-based learning process. This program is completed over a three-year period with a study load of 42 credits, comprising 6 credits of coursework, research, and dissertation publication. The courses taken are those that support the dissertation research.   Tabel 4. Struktur Kurikulum Program Studi Doktor Matematika Jalur Riset
Semester Course Name SKS Information
1 Course on Recognition of Prior Learning 6
Research Dissertation I 3 Supervision
2 Publication I 5 International Conference
Research Dissertation II 3 Qualification Exam
3 Research Dissertation III 3 Progress Report
4 Research Dissertation IV 3 Progress Report
Publication II 5 International Journal
5 Research Dissertation V 3 Progress Report
Publication III 6 International Journal
6 Research Dissertation VI 5 Dissertation Exam
  Recognition of Prior Learning hereinafter abbreviated as RPL is the recognition of an individual's learning outcomes acquired through formal, non-formal, or informal education and/or work experience for the purpose of formal education. The RPL courses in the Research Track are identical to the courses in the Regular Track.