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 472 masters of science until the 121st graduation period (March 2019). Currently, the lecturers in PSMM consist of 4 professors and 15 doctors who are competent in the fields of MaxPlus 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/BANPT/Akred/M/XI/2019.
To be the leading study program in internationally reputable Master of Mathematics Education, especially in the fields of analysis, algebra, and computing to support and develop applied mathematics
The graduates of MoMath are expected to work in the following areas:
 Finance, banking, and insurance: applying knowledge and skill in finance, banking, and insurance, based on mathematical and statistical methods
 System analyst and programmer: applying knowledge and skill of programming languages and algorithm analysis, and software engineering to develop software applications.
 Data analyst: applying knowledge and skill based on mathematical thinking in data processing and programming to analyze data and its application.
 Educator: applying knowledge and skill in mathematics to give some courses in mathematics and related field.
 Entrepreneur: applying the knowledge and skill in mathematical thinking framework related to creative business and entrepreneurship.
 Research assistant: applying mathematics and data processing knowledge and skill in research field.
 Further study in a doctoral program.
In the 2018 curriculum, the study load is 36 credits which are scheduled for 4 (four) semesters and a maximum of 8 (eight) semesters including the completion of a thesis (Academic Regulations of ITS 2019). Compulsory courses consist of 4 courses (11 credits), namely Module Theory, Functional Analysis, Mathematical Modeling and Numerical Computation.
The study load of the master program is at least 36 credits and at most 50 credits are scheduled for 4 (four) semesters and can be taken in less than 4 (four) semesters and for a maximum of 10 (ten) semesters including thesis, after an undergraduate program, or equivalent (Kepmendiknas No. 232 / U / 2000).
The study load that must be taken to complete studies at PSMMITS is 36 credits, with a period of 4 semesters.
All courses are grouped as follows:
 Compulsory courses: Module Theory (3 credits), Functional Analysis (3 credits), Mathematical Modeling (3 credits) and Numerical Computation (2 credits).
 The compulsory courses for each group is 6 credits: Approximate Theory (3 credits), MaxPlus Algebra (3 credits), Dynamic Systems (3 credits), Stochastic Calculus (3 credits), Computational Algorithms (3 credits), Mathematics of Machine Learning (3 credits).
 Elective courses in the Applied Analysis and Algebra group: Discrete Transformation (3 credits), Graph Algebra (3 credits), Wavelets and Applications (3 credits), Graphs and Applications (2 credits), Topics in Applied Analysis (2 credits), Topics in Applied Algebra (2 credits) .
 Elective courses in Modeling and Simulation group: Systems and Control (3 credits), Computational Fluid Dynamics (3 credits), Dynamic Optimization (3 credits), Financial Mathematics (3 credits), Biological Mathematics (3 credits), Data Assimilation (3 credits), Derivative Mathematics (3 credits), Risk Analysis (3 credits), Advanced Partial Differential Equations (2 credits), Inverse Problems (2 credits), Topics in Mathematical Modeling (2 credits), Topics in Optimization (2 credits).
 Elective courses in Computer Science group: Formal Verification (3 credits), Digital Image Processing and Analysis (3 credits), Computational Biology (3 credits), Theory of Computations (3 credits), Fuzzy Systems (2 credits), Topics in Computations (2 credits).
The minimum study load of students in MoMath is 36 SKS, which is equivalent to 170 minutes self study and attendancebased 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:
 Some elective courses in Semester 2 and 3 requires the students to work on a specific problem, write the results in a technical report and present the results in an internal seminar. The activities are equivalent to 3 SKS.
 As a requirement for graduation, each student must publish some results of the thesis to an international conference or a journal. The activities are preparing the paper, writing the paper, revising the paper, preparing the cameraready version, presenting the paper. The activities are equivalent to 5 SKS.
 There are some activities in thesis, which take some time, such as writing the proposal, presenting the proposal, revising the proposal, presenting the results in an internal seminar. The activities are equivalent to 5 SKS.
The conversion table between the minimum study load and other required activities, from SKS to ECTS is described in the following table:
Components 
SKS 
ECTS 
Minimum study load 
36 
73.44 
Activities in some elective courses 
3 
6.12 
Publication in conference or journal 
5 
10.20 
Some activities in thesis 
5 
10.20 
Total 

99.96 