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Master of Mathematics Study Program (PSMM) has produced graduates who have contributed very significantly to the development of human resources, especially in eastern Indonesia. This is supported by the knowledge in analysis, algebra and computing related to the development of applied mathematics. Since its establishment in 2003, PSMM has graduated 523 masters of science until the 128 st graduation period (September 2023). Currently, the lecturers in PSMM consist of 6 professors and 24 doctors who are competent in the fields of Max-Plus Algebra, Data Science, Graph Theory, Computational Fluid Dynamics, Dynamic Systems, Financial Mathematics, Bioinformatics, Systems Theory, Data Assimilation and Digital Image Processing. PSMM has collaborated with several universities, both within and outside the country, for example Shibaura Institute of Technology (Japan), University of Oxford (UK), University of Essex (UK), Technische Universiteit Delft (The Netherlands) and Universiti Malaysia Pahang (Malaysia). Since 2019, PSMM has been accredited A with SK number 4332/SK/BAN-PT/Akred/M/XI/2019.
If you are interested to register in Mathematics Master Program ITS, please join the WhatsApp Group via the following link: https://chat.whatsapp.com/KclM6HWVBodA9unnV8Wr9h
Becoming a Master of Mathematics Study Program with an international reputation in the fields of analysis, algebra and computation for theoretical and applied development, especially in industry and marine with an environmental perspective
Actively involved in the development of mathematics and its application through international quality research activities, especially in the fields of algebra, analysis, modeling and computation.
Empowering departmental resources to play an active role in solving problems faced by society, industry and government by integrating analysis, algebra, modeling and computation.
The graduates of MoMath are expected to work in the following areas:
Able to demonstrate attitudes and character that reflect: devotion to God Almighty, ethics and integrity, noble character, sensitivity and care for social and environmental problems, respecting cultural differences and pluralism, upholding law enforcement prioritizing the interests of the nation and wider community, through creativity and innovation, excellence, strong leadership, synergy, and other potential to achieve maximum results.
Able to identify and explain the quality of complex mathematical problems
In the 2023 curriculum, the required credits on Master students was set at 36 credits scheduled for 4 (four) semesters and no later than 8 (eight) semesters including completion of thesis (2019 ITS Academic Regulations). The Study Program has three fields of interest, namely Applied Analysis and Algebra, Applied and Industrial Mathematics, as well as Data and Computing Science. The course is prepared based on the expected competencies from graduates of the Study Program, which are divided into compulsory courses, compulsory courses for each field of interest and elective courses for each field of interest. In the following table, the curriculum structure is presented based on the distribution of study load components and interest fields. The field of interest is determined when students register.
Table 1. Curriculum Structure
Table 2. The recommended scheme of taking courses in 4 semesters for each field of interest
Table 3. Elective Courses in each Field of Interest
The minimum study load of students in MoMath is 36 SKS, which is equivalent to 170 minutes self study and attendance-based learning every week. In every semester, there are 16 weeks of lecture or other scheduled activities, including evaluation. The study load and other required activities are equivalent to 99.96 ECTS, where 1 ECTS equals 25 working hours. The other required activities (outside the study load) are:
The conversion table between the minimum study load and other required activities, from SKS to ECTS is described in the following table:
Pencarian Data Tesis dapat dilakukan pada link berikut ini https://www.its.ac.id/matematika/siamat/?module=cari-tesis
METODE TEMPORAL GROUP ATTENTION (TGA) PADA IDENTIFIKASI PLAT NOMOR KENDARAAN BERGERAK
(Studi kasus di Propinsi Jawa Timur)
MACHINE UNTUK PREDIKSI TINGKAT RISIKO WABAH DEMAM BERDARAH BERDASARKAN KEADAAN CUACA