Master of Mathematics
Academic > Master Program > Masters of Mathematics
Currently, the industry is undergoing major changes, especially dependence on rapid developments in technology. With the challenges and changes in the state of the industry, the higher education system needs to be adaptive. Universitas Indonesia will take on the role of a Leading University in responding to the above challenges with its various advantages, such as being the oldest university in Indonesia, located in the capital city, having alumni who occupy many key positions in government, having a large green campus, and having graduates who have high competitiveness. As part of Universitas Indonesia, the FMIPA UI Master of Mathematics Study Program will take on the same role as Universitas Indonesia. Moreover, the development of the field of Mathematics is one of the main supporting fields of the industrial revolution 4.0, especially related to data management technology, such as big data analysis and data science. In fact, data analysis and data scientist are the most sought-after job fields by the industry based on the 2020 future of jobs survey by the world economic forum.
The Master of Mathematics study program is a study program under the Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Indonesia (FMIPA UI). This study program is organized based on the Decree of the Rector of the University of Indonesia no. 706/SK/R/UI/2007, dated October 22, 2007. The Master of Mathematics Program, FMIPA UI has been accredited B by the National Accreditation Board for Higher Education based on Decree no. 168/SK/BAN-PT/Akred/M/I/2018 dated January 3, 2018.
The Mathematics Study Program of FMIPA UI has 17 teaching staff with Doctoral degrees (S3) with two of them being Professors. The teaching staff's areas of expertise range from theoretical mathematics, mathematical modeling and applications, data science, and actuarial science.
Vision
To establish the FMIPA UI Master of Mathematics Study Program as a leading institution in mathematics, data science and interdisciplinary applications in the fields of life sciences, industry and government through research that is able to play a role at the national and global levels to advance science and sustainable development.
Mission
- Producing graduates who can keep up developments in mathematics, data science, and its applications
- Supporting and developing research activities in mathematics, data science, and interdisciplinary applications in life sciences, industry, and government.
- Providing information, consultation and solution services in the fields of mathematics and data science and its applications in interdisciplinary fields that can improve public welfare and help the development of industry and government.
Objective
- Have reliable understanding skills in mathematics and data science to solve theoretical and applied problems.
- Have good ethics in the profession supported by logical, critical, innovative analytical skills and the ability to learn independently and adapt to developments in science and technology in the fields of mathematics, data science and its applications.
- Have the ability to be an early researcher in the fields of mathematics, data science and its applications
- Have professional career capabilities through the application and development of mathematical models, data science and its applications to solve interdisciplinary science, technology and applied problems through research in the fields of life science, industry and government.
Curriculum
There are two study paths in the FMIPA UI Mathematics Masters Study Program, namely:
- College Path
- Research Path
In general, the difference between these two tracks lies in the structure and content of the curriculum. The Coursework Track combines lectures and research activities, while the Research Track focuses solely on research, making it more suitable for prospective students with a research background and previous scientific publications.
To complete the FMIPA UI Masters in Mathematics, students are required to participate in academic activities with a minimum weight of 36 credits over a period of two to six semesters.
Download Buku Kurikulum 2024 Prodi S2 Matematika (klik di sini)
Perbedaan Jalur Kuliah-Riset dengan Jalur Riset
Areas of Interest
The Master of Mathematics Program at FMIPA UI offers three Fields of Interest:
- Theoretical Mathematics. Some research topics in this field are algebraic graph theory
- Data Science. Some research topics in this field are genomic data science, bioinformatics, intelligent healthhealthcare, actuarial data science, textual data science, statistics
- Modeling and Application. Some research topics in this field are dynamic systems, biomethematics, cryptography
Publications related to the research topic can be seen in each lecturer's publications at the link https://math.sci-ui.id/staf-pengajar/.
Graduate Learning Outcomes
| No | Capaian Pembelajaran Lulusan |
| 1 | Beretika akademis |
| 3 | Mampu berpikir secara logis, analitis, kritis dan inovatif |
| 3 | Mampu memanfaatkan sarana teknologi informasi dalam keseharian bekerja |
| 4 | Mampu berkomunikasi dengan menerjemahkan bahasa matematis dalam pendekatan interdisiplin ilmu |
| 5 | Mampu memodelkan masalah dan problem solving, terutama menggunakan pendekatan komputational dan sains data |
| 6 | Mampu menguasai teori matematika, sains data dan terapannya melalui riset yang inovatif dan teruji sesuai dengan bidang keahliannya |
| 7 | Mampu memecahkan masalah matematika dan sains data sesuai perkembangannya dan penerapannya melalui pendekatan multidisipliner serta interdisipliner |
| 8 | Mampu beradaptasi dan bersifat terbuka dengan wawasan baru di bidang keilmuan dan keterampilan teknis yang diperlukan untuk menerapkan, mengembangkan dan/atau menciptakan konsep baru |
| 9 | Mampu menerapkan dan mengembangkan konsep ilmu dalam bidang matematika, sains data dan terapannya melalui penelitian secara mandiri |
| 10 | Mampu menganalisis dan merangkum hasil riset matematika, sains data dan terapannya melalui publikasi di media ilmiah nasional atau internasional |
Distribution of Research Track Courses
| Semester 1 | ||
| Kode | Mata Kuliah | SKS |
| SCMA802901 | Kajian Literatur 1 | 5 |
| SCMA802902 | Kajian Literatur 2 | 5 |
| SCMA802903 | Proposal Riset | 8 |
| Total SKS Semester 1 | 18 | |
| Semester 2 | ||
| Kode | Mata Kuliah | SKS |
| SCMA802904 | Publikasi Ilmiah 1 | 2 |
| SCMA802905 | Ujian Hasil Riset 1 | 4 |
| Total SKS Semester 2 | 6 | |
| Semester 3 | ||
| Kode | Mata Kuliah | SKS |
| SCMA802906 | Publikasi Ilmiah 2 | 8 |
| SCMA802907 | Ujian Hasil Riset 2 | 6 |
| Total SKS Semester 3 | 6 | |
| Semester 4 | ||
| Kode | Mata Kuliah | SKS |
| SCMA802908 | Tesis | 16 |
| Total SKS Semester 4 | 16 | |
Distribution of Courses by College Path
| Semester 1 | ||
| Kode | Mata Kuliah | SKS |
| SCSC800001 | MK Integrasi Sains dan Matematika S2 | 3 |
| SCMA801010 | Analisis Real | 3 |
| SCMA801002 | Teori Matriks dan Aljabar Linier | 3 |
| SCMA801003 | Komputasi dan Pengelolaan Data | 2 |
| SCMA801011 | Praktikum Komputasi dan Pengelolaan Data | 1 |
| Mata Kuliah Pilihan Program Studi | 6 | |
| SCMA801004 | Teori Graf Lanjut (3 SKS) | |
| SCMA801006 | Pemodelan Matematika Lanjut (3 SKS) | |
| SCMA801006 | Matematika Keuangan Aktuaria (3 SKS) | |
| SCMA801006 | Komputasi Sains Data (3 SKS) | |
| Total SKS Semester 1 | 18 | |
| Semester 2 | ||
| Kode | Mata Kuliah | SKS |
| SCMA801005 | Statistika Sains Data | 3 |
| Mata Kuliah Pilihan Bidang Minat | 9 | |
| Total SKS Semester 2 | 12 | |
| Semester 3 | ||
| Kode | Mata Kuliah | SKS |
| SCMA801901 | Disemisasi Ilmiah | 2 |
| SCMA801902 | Proposal | 3 |
| Mata Kuliah Pilihan Bidang Minat | 3 | |
| Total SKS Semester 3 | 8 | |
| Semester 4 | ||
| Kode | Mata Kuliah | SKS |
| SCMA802908 | Tesis | 16 |
| Total SKS Semester 4 | 16 | |
Courses in Interest Fields of Study Path
| A. Matematika Murni | ||
| Kode | Mata Kuliah | SKS |
| SCMA801103 | Struktur Aljabar | 3 |
| SCMA801104 | Optimisasi Kombinatorik | 3 |
| SCMA801105 | Teori Pengkodean | 3 |
| SCMA801106 | Analisis Fungsional Lanjut | 3 |
| SCMA801107 | Teori Graf Aljabar | 3 |
| SCMA801108 | Analisis Kompleks | 3 |
| SCMA801110 | Teori Ukur | 3 |
| SCMA801109 | Topik Khusus MTM | 3 |
| B. Sains Data | ||
| Kode | Mata Kuliah | SKS |
| SCMA801210 | Komputasi dan Big Data | 3 |
| SCMA801203 | Eksplorasi dan Visualisasi Data Lanjut | 3 |
| SCMA801204 | Pembelajaran Mesin Lanjut | 3 |
| SCMA801205 | Bioinformatika Lanjut | 3 |
| SCMA801206 | Sains Data Genom Lanjut | 3 |
| SCMA801207 | Analisis Statistika Lanjut | 3 |
| SCMA801208 | Applied Deep Learning | 3 |
| SCMA801209 | Topik Khusus MDS | 3 |
| C. Pemodelan dan Terapan | ||
| Kode | Mata Kuliah | SKS |
| SCMA801302 | Sistem Dinamik Lanjut | 3 |
| SCMA801303 | Persamaan Diferensial Lanjut | 3 |
| SCMA801304 | Pemodelan Stokastik | 3 |
| SCMA801305 | Biomatematika Lanjut | 3 |
| SCMA801306 | Fungsi Chaos dalam Kriptografi | 3 |
| SCMA801307 | Matematika Keuangan | 3 |
| SCMA801308 | Teori Kontrol | 3 |
| SCMA801309 | Topik Khusus MPT | 3 |
| D. Ilmu Aktuaria | ||
| SCMA801210 | Matematika Aktuaria I | 3 |
| SCMA801203 | Teori Risiko | 3 |
| SCMA801204 | Proses Stokastik Aktuaria | 3 |
| SCMA801205 | Analisis Runtun Waktu | 3 |
| SCMA801206 | Analisis Prediktif Keuangan | 3 |
| SCMA801207 | Matematika Aktuaria II | 3 |
| SCMA801208 | Manajemen Risiko Kuantitatif | 3 |
| SCMA801209 | Topik Khusus MIA | 3 |
Curriculum Documents
Dokumen Kurikulum 2024 S2 Matematika
Dokumen Kurikulum 2020 S2 Matematika
Profile Video
Other information
- Lecture time: Monday – Friday at the Department of Mathematics, FMIPA UI Depok
- Email: sekretariat.mathpasca@sci.ui.ac.id
- University of Indonesia new student admission schedule: https://penerimaan.ui.ac.id
- Informasi Program Pasca Sarjana Matematika FMIPA UI Klik Disini
- Buku Panduan Kurikulum 2024 Prodi Magister Matematika FMIPA UI Klik Disini