2023-2028 CURRICULUM OF DOCTORAL PROGRAM IN STATISTICS

2023-2028 Curriculum of Doctoral Program In Statistics

Vission

Menjadi lembaga pendidikan jenjang Doktor Ilmu Statistik berbasis komputasi bereputasi internasional dalam pengembangan ilmu pengetahuan dan teknologi serta terapannya pada bidang  Industri, Bisnis, Ekonomi, Sosial, Kesehatan, dan Lingkungan.

Mission

  1. Misi Program Studi Doktor Ilmu Statistik adalah memberikan kontribusi dalam pengembangan ilmu pengetahuan dan teknologi pada bidang Statistika dan Sains Data serta terapannya untuk mewujudkan kesejahteraan masyarakat melalui kegiatan pendidikan, penelitian, pengabdian kepada masyarakat, dan manajemen yang berbasis teknologi informasi dan komunikasi.
  2. Misi Program Studi Doktor Ilmu Statistik di bidang pendidikan :
    • Menyelenggarakan pendidikan Pascasarjana berbasis teknologi informasi dan komunikasi dengan kurikulum, Dosen, dan metode pembelajaran berkualitas internasional untuk menghasilkan lulusan yang berkualitas internasional pada bidang Statistika dan Sains Data serta terapannya;
    • Menghasilkan lulusan yang beriman dan bertakwa kepada Tuhan Yang Maha Esa serta; dan
    • Membekali lulusan dengan pengetahuan kewirausahaan berbasis teknologi.
  3. Misi Program Studi Doktor Ilmu Statistik di bidang penelitian adalah berperan secara aktif dalam pengembangan ilmu pengetahuan dan teknologi pada bidang Statistika dan Sains Data berbasis komputasi  serta terapannya melalui kegiatan penelitian yang berkualitas internasional pada bidang  Industri, Bisnis, Ekonomi, Sosial, Kesehatan, dan Lingkungan.
  4. Misi Program Studi Doktor Ilmu Statistik di bidang pengabdian kepada masyarakat adalah memanfaatkan sumber daya yang dimiliki untuk ikut serta dalam menyelesaikan problem yang dihadapi oleh masyarakat, industri, pemerintah dengan mengedepankan fasilitas teknologi informasi dan komunikasi.
  5. Misi Program Studi Doktor Ilmu Statistik di bidang manajemen:
    • Pengelolaan Program Studi dilakukan dengan memperhatikan prinsip tata pamong yang baik yang didukung dengan teknologi informasi dan komunikasi;
    • Menciptakan suasana yang kondusif dan memberikan dukungan sepenuhnya kepada Mahasiswa, Dosen, Tenaga Kependidikan untuk dapat mengembangkan diri dan memberikan kontribusi maksimum pada masyarakat, industri, ilmu pengetahuan dan teknologi; dan
    • Jejaring untuk dapat bersinergi dengan perguruan tinggi lain, industri, masyarakat, dan pemerintah dalam menyelenggarakan kegiatan pendidikan, penelitian, dan pengabdian kepada masyarakat.

Program Educational Objectives

    • Menghasilkan lulusan Doktor Ilmu Statistik yang berbudi luhur, berkepribadian baik dan mandiri, berkemampuan profesional dan beretika, berintegritas dan bertanggung jawab tinggi, serta berkemampuan untuk mengembangkan diri dan bersaing di tingkat internasional.
    • Menghasilkan lulusan Doktor Ilmu Statistik yang berkualitas sehingga dapat berkarir sebagai dosen, peneliti, konsultan, dan praktisi di bidang Statistika dan Sains Data berbasis komputasi yang mampu menghasilkan penelitian dalam pengembangan Statistika dan Sains Data yang berkualitas tinggi dengan terapannya pada bidang Industri, Bisnis, Ekonomi, Sosial, Kesehatan, dan Lingkungan serta mempublikasikannya secara internasional.
    • Menghasilkan  lulusan Doktor Ilmu Statistik yang memiliki karakter mampu mengembangkan diri dengan pembelajaran sepanjang hayat melalui  penelitian, pelatihan, dan kegiatan profesional.

Programme Learning Outcome (PLO)

PLO-1: Able to demonstrate attitudes and characters that reflect: being pious to God Almighty, having ethics and integrity, virtuous character, sensitive and concern with 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.
PLO-2: Able to develop new theories/concepts/ideas and solve scientific and/or technological problems in their field 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 approved 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.
PLO-4: Able to do in-depth study and apply Mathematical Statistics to solve statistical problems
PLO-5: Able to use modern computing devices to solve statistical problems
PLO-6: Able to apply and develop computational techniques to solve statistical problems
PLO-7: Able to apply statistical methods appropriately as well as evaluate and develop them to analyze theoretical and real problems
PLO-8: Able to apply Computing-based Business, Industrial, Financial Economics, Social-Population, Environmental, or Health Statistics methods to real problems

Graduate Profile

Kurikulum Program Doktor Statistika disusun berdasarkan capaian pembelajaran lulusan yang mengacu pada Kerangka Kualifikasi Nasional Indonesia (KKNI) dan Standar Nasional Pendidikan Tinggi (SN-DIKTI). Studi penelusuran kami mengungkapkan bahwa lulusan kami bekerja di bidang-bidang berikut:

  • Dosen: melakukan Tri Dharma Perguruan Tinggi pada Program Studi Statistika atau Program Studi yang terkait.
  • Ahli statistik dan Peneliti: melakukan penelitian di bidang Statistika atau pada bidang terapan yang didukung oleh keilmuan Statistika.
  • Praktisi di Bidang Statistika dan Sains Data: Profesional di berbagai bidang yang memerlukan dan menggunakan metode-metode Statistika dan Sains Data dalam menunjang pekerjaanya.

REGULAR TRACK

Distribution of Courses per Semester

SEMESTER: I
No Course Code Course Name Credit
1 SS236101 Advanced Mathematical Statistics 3
2 SS236102 Generalized Linear Models 3
3 SS236103 Science Phylosophy and Statistics 3
Total Credit 9

 

SEMESTER: II
No Course Code Course Name Credit
1 SS236201 Scientific Publication and Seminar 2
2 SS236202 Disertation I 3
3 SS2362– Elective Course I 3
Total Credit 8

 

SEMESTER: III
No Course Code Course Name Credit
1 SS236301 Disertation II 4
2 SS236302 Publication I 2
Total Credit 6

 

SEMESTER: IV
No Course Code Course Name Credit
1 SS236401 Disertation III 3
2 SS236402 Publication II 4
Total Credit 7

 

SEMESTER: V
No Course Code Course Name Credit
1 SS236501 Disertation IV 3
2 SS236502 Publication III 4
Total Credit 7

 

SEMESTER: VI
No Course Code Course Name Credit
1 SS236601 Disertation V 5
Total Credit 5

RESEARCH TRACK

Distribution of Courses per Semester

SEMESTER: I
No Course Code Course Name Credit
1 SS236171 Science Phylosophy and Research 3
2 SS236172 Research Seminar 3
3 SS236173 Research Disertation I 3
Total Credit 9

 

SEMESTER: II
No Course Code Course Name Credit
1 SS236271 Research Publication I 5
2 SS236272 Research Disertation II 3
Total Credit 8

 

SEMESTER: III
No Course Code Course Name Credit
1 SS236371 Research Disertation III 3
Total Credit 3

 

SEMESTER: IV
No Course Code Course Name Credit
1 SS236471 Research Disertation IV 3
2 SS236472 Research Publication II 5
Total Credit 8

 

SEMESTER: V
No Course Code Course Name Credit
1 SS236571 Research Disertation V 3
2 SS236572 Research Publication III 6
Total Credit 9

 

SEMESTER: VI
No Course Code Course Name Credit
1 SS236671 Research Disertation VI 5
Total Credit 5

List of Elective Course

No Course Code Course Name Credit
1 SS236211 Advanced Intensive Computational Statistics 3
2 SS236212 Advanced Bayesian Analysis 3
3 SS236221 Advanced Process Control Analysis 3
4 SS236222 Advanced Optimation Methods 3
5 SS236231 Advanced Econometrics 3
6 SS236232 Advanced Time Series Analysis 3
7 SS236233 Advanced Financial Statistics 3
8 SS236234 Capita Selecta 3
9 SS236241 Nonparametric and Semiparametric Regression 3
10 SS236251 Advanced Multivariate Analysis 3
11 SS236252 Advanced Categorical Data Analysis 3
12 SS236253 Advanced Survival Analysis 3
13 SS236254 Advanced Spatial Statistics 3
14 SS236255 Generalized Structural Equation Modeling 3
15 SS236256 Biostatistics and Epidemiology 3
16 SS236257 Advanced Bioinformatic Statistics 3
17 SS236258 Extreme Value Statistics 3

Module Handbook

REGULAR TRACK

SEMESTER: I
No Course Code Course Name Credit
1 SS236101 Advanced Mathematical Statistics 3
2 S236102 Generalized Linear Models 3
3 SS236103 Science Phylosophy and Statistics 3
Total Credit 9

 

SEMESTER: II
No Course Code Course Name Credit
1 SS236201 Scientific Publication and Seminar 2
2 SS236202 Disertation I 3
3 SS2362– Elective Course I 3
Total Credit 8

 

SEMESTER: III
No Course Code Course Name Credit
1 SS236301 Disertation II 4
2 SS236302 Publication I 2
Total Credit 6

 

SEMESTER: IV
No Course Code Course Name Credit
1 SS236401 Disertation III 3
2 SS236402 Publication II 4
Total Credit 7

 

SEMESTER: V
No Course Code Course Name Credit
1 SS236501 Disertation IV 3
2 SS236502 Publication III 4
Total Credit 7

 

SEMESTER: VI
No Course Code Course Name Credit
1 SS236601 Disertation V 5
Total Credit 5

RESEARCH TRACK

SEMESTER: I
No Course Code Course Name Credit
1 SS236171 Science Phylosophy and Research 3
2 SS236172 Research Seminar 3
3 SS236173 Research Disertation I 3
Total Credit 9

 

SEMESTER: II
No Course Code  Course Name Credit
1 SS236271 Research Publication I 5
2 SS236272 Research Disertation II 3
Total Credit 8

 

SEMESTER: III
No Course Code  Course Name Credit
1 SS236371 Research Disertation III 3
Total Credit 3

 

SEMESTER: IV
No Course Code  Course Name Credit
1 SS236471 Research Disertation IV 3
2 SS236472 Research Publication II 5
Total Credit 8

 

SEMESTER: V
No Course Code  Course Name Credit
1 SS236571 Research Disertation V 3
2 SS236572 Research Publication III 6
Total Credit 9

 

SEMESTER: VI
No Course Code  Course Name Credit
1 SS236671 Research Disertation VI 5
Total Credit 5

List of Elective Course

No Course Code Elective Course Name Credit
1 SS236211 Advanced Intensive Computational Statistics 3
2 SS236212 Advanced Bayesian Analysis 3
3 SS236221 Advanced Process Control Analysis 3
4 SS236222 Advanced Optimation Methods 3
5 SS236231 Advanced Econometrics 3
6 SS236232 Advanced Time Series Analysis 3
7 SS236233 Advanced Financial Statistics 3
8 SS236234 Capita Selecta 3
9 SS236241 Nonparametric and Semiparametric Regression 3
10 SS236251 Advanced Multivariate Analysis 3
11 SS236252 Advanced Categorical Data Analysis 3
12 SS236253 Advanced Survival Analysis 3
13 SS236254 Advanced Spatial Statistics 3
14 SS236255 Generalized Structural Equation Modeling 3
15 SS236256 Biostatistics and Epidemiology 3
16 SS236257 Advanced Bioinformatic Statistics 3
17 SS236258 Extreme Value Statistics 3

Dissertation Guide Book

Pedoman-Disertasi_2018

Registration