Curriculum 2025-2030

Higher education plays a strategic role in producing competent human resources who are prepared to face global challenges. In the era of the Fourth Industrial Revolution and digital transformation, the demand for graduates with strong technical expertise, analytical skills, and high adaptability continues to grow. Consequently, higher education systems must continuously evolve to align with advances in science, technology, and industry needs.

Outcome-Based Education (OBE) is a curriculum development approach that emphasizes measurable graduate learning outcomes (Capaian Pembelajaran Lulusan—CPL) aligned with the needs of employers and society. The OBE concept underscores that every element of the educational process—from curriculum design and teaching strategies to assessment methods—should be structured to ensure that students acquire relevant, applicable competencies. As a result, graduates are expected not only to master theoretical knowledge but also to apply it effectively in diverse professional contexts.

In developing its curriculum, the Mathematics Study Program, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta, refers to the Presidential Decree of the Indonesian Mathematical Society (IndoMS) No. 028/Pres/IndoMS/SK/I/2022, dated 3 January 2022, concerning the IndoMS Recommendation for the Minimum Curriculum of Undergraduate Mathematics Programs in Indonesia. This decree provides standardized guidelines for the development of mathematics curricula that meet both national and international benchmarks, ensuring the production of graduates who are competitive across multiple sectors.

The adoption of the OBE curriculum is also consistent with national higher education policies, as stipulated in the Regulation of the Minister of Education and Culture of the Republic of Indonesia No. 3 of 2020 on the National Standards for Higher Education, and is aligned with the Indonesian National Qualifications Framework (KKNI) and the National Standards for Higher Education (SN-Dikti). Furthermore, this curriculum is designed to meet international accreditation standards, including those set by ASIIN (Accreditation Agency for Degree Programs in Engineering, Informatics, Natural Sciences, and Mathematics), thereby enhancing the global competitiveness of graduates.

Grounded in these considerations, the OBE curriculum in the Mathematics Study Program is expected to produce academically excellent graduates with strong moral integrity who are capable of making tangible contributions to society. Its implementation is supported by the integration of digital technologies and a Learning Management System (LMS) to improve instructional effectiveness and enable a more accurate and systematic outcome-based evaluation process.

Program Objectives

Program Learning Outcomes

Curriculum Map

Curriculum Structure

Click here for the module handbooks

SEMESTER I

NoCodeMandatory CourseCredit PointsECTS
1UIN6032201Islamic Studies44.267
2FST6091110Digital Literacy23.067
3FST6094101Basic Mathematics34.367
4NAS6112203Civics Education22.444
5FST6094116Algorithms and Programming34.133
6FST6094103Calculus I45.511
7FST6094221Technopreneurship22.756
  Total Credit Points2026.544

SEMESTER II

NoCodeMandatory CourseCredit PointsECTS
1FST6094104Calculus II45.51
2FST6094106Elementary Statistics34.60
3NAS6112202Pancasila Education22.76
4FST6094102Discrete Mathematics34.13
5UIN6032202Islam and Science33.20
6FST6094112Elementary Linear Algebra46.13
  Total Credit Points1926.33

SEMESTER III

NoCodeMandatory CourseCredit PointsECTS
1FST6094105Calculus III46.76
2FST6094107Mathematical Statistics46.76
3FST6094117Ordinary Differential Equations33.67
4FST6094114Analytic Geometry34.13
5FST6094110Introduction to Real Analysis I45.51
6UIN6033205Practicum in Qira’ah and Worship23.84
  Total Credit Points2030.66

 

SEMESTER IV

NoCodeMandatory CourseCredit PointsECTS
1FST6094108Introduction to Stochastic Models34.13
2FST6094113Introduction to Abstract Algebra45.51
3FST6094111Introduction to Real Analysis II45.51
4FST6094118Partial Differential Equations34.60
5NAS6013202Indonesian Language33.20
6UIN6021204Arabic Language33.67
7FST6094119Linear Programming34.13
  Total Credit Points2330.76

SEMESTER V

NoCodeMandatory CourseCredit PointsECTS  
1FST6094120Mathematical Modeling35.07
2UIN6016208Research Methodology34.13
3FST6094115Introduction to Numerical Analysis34.60
4UIN6014203English Language33.20
5FST6094109Complex Functions35.07
6 Electives33.67
7 Electives33.67
  Total Credit Points2129.40

SEMESTER VI

NoCodeMandatory CourseCredit PointsECTS
1 Elective Courses
(Maximum of 24 credits depending on GPA)
or
MBKM/Impact Campus/Long-Term Mobility
(20 credits)		 
2
3
4
5
6
  Mandatory      00
  Electives2030.67
  Total Credit Points2030.67

 

SEMESTER VII

NoCode Credit PointsECTS
1UIN6071207Field Work Internship47.82
2UIN6021206Community Service Program45.13
3FST6094369Mathematics Final Project Seminar11.83
4 Electives610.13
  Total Credit Points1524.92

SEMESTER VIII

NoCodeMandatory CourseCredit PointsECTS
1UIN6000312Final Project611.0
  Total Credit Points611.0
  Total Credits (SKS or SCU) for Completion of Bachelor Program 144
  Total Credits (ECTS) for Completion of Bachelor Program 210.52

ELECTIVE COURSES

NoCourseCourse
ID		Lecture
(Face to Face)
(SCU)		Total ECTS
1Introduction to DatabaseFST609430133.43333333
2Introduction to Actuarial MathematicsFST609430233.43333333
3Non Parametric StatisticsFST609430333.43333333
4Introduction to Data MiningFST609430433.43333333
5Introduction to Risk TheoryFST609430533.43333333
6Categorical Data AnalysisFST609430633.43333333
7Introduction to General InsuranceFST609430733.43333333
8Introduction to Plans pensionFST609430833.43333333
9Introduction to Sharia InsuranceFST609430933.43333333
10Selective CapitaFST609431033.43333333
11Spatial StatisticsFST609431133.43333333
12Control  Statistics QualityFST609431233.43333333
13Introduction to Economics MicroFST609432433.43333333
14Introduction to Statistical ComputationFST609432833.43333333
15Introduction to MacroeconomicsFEB608420233.43333333
16Natural Language ProcessingFST609191133.43333333
17Linear AlgebraFST609412133.43333333
18Selective CapitaFST609431033.43333333
19Multivariate StatisticsFST609431333.43333333
20Time Series AnalysisFST609431433.43333333
21BiostatisticsFST609431533.43333333
22Analysis of Social MediaFST609431633.43333333
23Introduction to Financial ComputingFST609431733.43333333
24Introduction to Insurance Company OperationsFST609431833.43333333
25Sampling Techniques and Experimental DesignFST609431933.43333333
26Introduction to Actuarial ComputingFST609432033.43333333
27Advanced Actuarial MathematicsFST609432233.43333333
28Number TheoryFST609432633.43333333
29High Performance ComputingFST609432733.43333333
30Introduction to Statistical ComputingFST609432833.43333333