2018-2023 CURRICULUM OF BACHELOR IN STATISTICS

Vision

Menjadi lembaga pendidikan jenjang sarjana dan pengembangan statistika dan sains data bertaraf internasional yang berkontribusi dalam ilmu pengetahuan dan teknologi, khususnya bidang Komputasi, Bisnis dan Industri, Ekonomi dan Finansial, Sosial dan Kependudukan, serta Lingkungan dan Kesehatan.

Mission

The mission of the Undergraduate Program of Statistics is to contribute in the development of science and technology in the fields of statistics, data science, and its applications to realize public welfare through education, research, community service, and management based on information and communication technology.
The mission of the Undergraduate Program of Statistics in Education field:
- organize undergraduate study program based on information and communication technology to produce international quality graduates in the fields of statistics, data science, and their applications;
- produce graduates who believe and fear God Almighty and have entrepreneurial knowledge.
The mission of the Department of Statistics in research is to play an activate role in the development of science and technology in the field of statistics, data science, and their applications through international quality research activities.
The mission of the Department of Statistics in community service is to utilize the resources of the department to play an active role in solving problems faced by society, industry, and government.
The mission of the Department of Statistics in management:
- professional management of resources in the department in organizing Tridharma Perguruan Tinggi based on information and communication technology;
- develop networks and synergize with domestic and foreign universities, industry, society, and government in organizing Tridharma Perguruan Tinggi.

Program Educational Objectives

To produce graduates with careers as data analysts, data scientists, official statisticians, biostatisticians, credit-business analysts, and in industrial fields who have the ability to:

- identify, formulate, collect, code, analyze and interpret data
- apply statistical methods to solve problems in socio-population, environmental-health, economics-financial, industrial, and data science
- use Statistical Process Control/Quality Control to solve problems in the industrial field

An individual who can contribute to the professional practice of their chosen field through effective communication, leadership, teamwork, service, and a high ethical
An individual who will continue life‐long learning through professional activities and training, the pursuit of higher educational degrees, and individual professional improvement

Programme Learning Outcome

PLO -1	Able to apply knowledge of statistical theory, Mathematics, and computation
PLO -2	Able to design and carry out data collection with the correct methodology
PLO -3	Able to analyze data with the right statistical methods and interpret them
PLO -4	Able to identify, formulate and solve statistical problems in various applied fields
PLO -5	Able to use computational techniques and modern computer devices needed in the fields of statistics and data science
PLO -6	Having knowledge of current and future issues related to the fields of statistics and data science
PLO -7	Able to communicate effectively and work together in interdisciplinary and multidisciplinary teams
PLO -8	Have the responsibilities and professional ethics
PLO -9	Able to motivate themselves to think creatively and lifelong learning

Profile of Graduates

The curriculum of Undergraduate Study Program of Statistics is arranged based on the learning achievements of graduates that refer to the Indonesian National Qualification Framework (KKNI) and SN DIKTI. Learning outcomes (CP) are also compiled based on the profile of ITS S1-Statistics study program graduates who generally work in 5 fields which are Business-Industry, Computing, Economics-Financial and Actuarial, Social-Population, and Environment-Health.


No	Profile of Graduates	Fields
1	Marketing Analyst	Business and Industry
2	Manager of Production Planning Inventory Control
3	Quality Control
4	Quality Assurance
5	Reliability Engineer
6	System Engineer
7	Quality by Design
8	Stock Market Analyst	Economic and Financial
9	Bank Credit / Insurance Analyst
10	Actuary
11	Tax Analyst
12	Customs Analyst
13	Financial Analyst (OJK)
14	System Analyst/Programmer/SIM	Computation
15	IT Consultant
16	IT Infrastructure Planner
17	Data Science
18	Analyst in Government	Social and Population
19	Development Planner
20	Government Consultant
21	Development Control Technical Staff
22	Population Analyst
23	Research Consultant	General
24	Researcher (LAPAN, BATAN, LIPI, BPPT, BMKG, LITBANGKES, LITBANG PERDAGANGAN)
25	Academics/Educators
26	Administration
27	HRD Manager
28	Government Institution (Department, BPS, etc.)

Curriculum

SEMESTER: I
No.	Kode MK	Nama Mata Kuliah (MK)	Sks
1	SK184101	Kimia	3
2	KS184102	Pengantar Teori Ekonomi	4
3	KM184101	Matematika I	3
4	KS184101	Pengantar Metode Statistika*	3
5	SF184101	Fisika I	4
6	UG184914	Bahasa Inggris	2
	Jumlah sks		19

SEMESTER: II
No.	Kode MK	Nama Mata Kuliah (MK)	Sks
1	UG184912	Bahasa Indonesia	2
2	SF184201	Fisika II	3
3	KS184203	Teknik Sampling dan Survei	3
4	KM184201	Matematika II	3
5	KS184240	Pemrograman Komputer	4
6	UG1849XY	Agama	2
	Jumlah sks		17

SEMESTER: III
No.	Kode MK	Nama Mata Kuliah (MK)	Sks
1	KS184341	Analisis Numerik	3
2	UG184911	Pancasila	2
3	KS184304	Analisis Regresi	3
4	KS184305	Matriks	4
5	KS184306	Matematika III	3
6	KW184901	Teori Peluang	3
	Jumlah sks		18

SEMESTER: IV
No.	Kode MK	Nama Mata Kuliah (MK)	Sks
1	KS184442	Analisis Data Eksploratif	2
2	KS184408	Desain Eksperimen	3
3	KS184409	Matematika IV	3
4	KS184410	Statistika Matematika I	3
5	KS184443	Komputasi Statistika	3
6	KS184411	Manejemen Operasi	3
7		Ekstra Kokurikuler	1
	Jumlah sks		18

SEMESTER: V
No.	Kode MK	Nama Mata Kuliah (MK)	Sks
1	UG184915	Teknopreneur	2
2	KS184512	Statistika Nonparametrik	3
3	KS184513	Statistika Matematika II	3
4	KS184514	Proses Stokastik	3
5	KS184544	Pengendalian Kualitas Statistika	4
6		Pilihan Bidang I	3
7		Ekstra Kokurikuler	1
	Jumlah sks		19

SEMESTER: VI
No.	Kode MK	Nama Mata Kuliah (MK)	Sks
1	KS184615	Analisis Multivariat	4
2	KS184616	Analisis Data Kategori	3
3	KS184617	Analisis Deret Waktu	3
4	KS184618	Metodologi Penelitian	2
5	KS184645	Data Mining Statistika	3
6		Mata Kuliah Pengayaan	3
7		Bahasa Asing	2
	Jumlah sks		20

SEMESTER: VII
No.	Kode MK	Nama Mata Kuliah (MK)	Sks
1	KS184719	Statistika Ofisial	3
2	KS184746	Teknik Simulasi	3
3	KS184720	Ekonometrika	3
4	KS184747	Analisis Data	3
5	KS184721	Kerja Praktik	2
6		Pilihan Bidang III	3
7		Publikasi Ilmiah	2
	Jumlah sks		19

SEMESTER: VIII
No.	Kode MK	Nama Mata Kuliah (MK)	Sks
1	UG184916	Wawasan dan Aplikasi Teknologi	3
2	KS184822	Tugas Akhir	6
3	KS184823	Statistical Consulting	3
4	UG184913	Kewarganegaraan	2
5	KS184824	Analisis Survival	3
6		Pilihan IV	3
	Jumlah sks		20

Daftar Mata Kuliah Pilihan

No.	Kode MK	Nama Mata Kuliah	Sks
RMK STATISTIKA TEORI dan PEMODELAN
1	KS184625	Regresi Nonparametrik	3
2	KS184626	Analisis Bayesian	3
3	KS184827	Ekonometrika Deret Waktu	3
RMK STATISTIKA KOMPUTASI
4	KS184528	Struktur Data dan Algoritma	2
5	KS184648	Sistem Informasi Manajemen	3
6	KS184749	Statistical Machine Learning	3
RMK STATISTIKA BISNIS dan INDUSTRI
7	KS184529	Riset Operasi	3
8	KS184530	Manajemen Mutu	3
9	KS184531	Analisis Keputusan Bisnis	3
10	KS184632	Six Sigma	3
11	KS184633	Perancangan Kualitas	3
12	KS184634	Analisis Reliabilitas	3
13	KS184735	Manajemen Logistik dan Rantai Pasok	3
14	KS184736	Metode Riset Pemasaran	3
RMK STATISTIKA EKONOMI dan FINANSIAL
15	KS184537	Matematika Keuangan	3
16	KS184538	Akuntansi	3
17	KS184639	Analisis Finansial	3
18	KS184650	Analisis Risiko	3
19	KS184751	Bisnis Analitik	3
20	KS184752	Aktuaria	3
RMK STATISTIKA SOSIAL dan KEPENDUDUKAN
21	KS184553	Studi Kependudukan	3
22	KS184654	Metode Riset Sosial	3
RMK STATISTIKA LINGKUNGAN dan KESEHATAN
23	KS184555	Biostatistika	3
24	KS184757	Analisis Meta	3
25	KS184656	Statistika Spasial	3

26	KS184658	Magang	3
27	KS184459	Topik Khusus	3

Buku Panduan Akademik

Eng_buku panduan Akademik_Revisi

Module Handbook


No	Course Code	Course Name	Credit	Semester	Preconditional Course	Enrichment Course
1	KS18490	Introduction to Statistical Method	3	1	None	Introduction to Statistical Method
2	KS184305	Matrix	3	3	None
3	KS184306	Mathematics III	3	3	Mathematics II
4	KW184901	Probability Theory	3	3	Mathematics I, Mathematics II, Introduction to Statistical Method
5	KS184304	Regression Analysis	3	3	Introduction to Statistical Method	Regression Analysis
6	KS184203	Survey and Sampling Technique	3	2	Introduction to Statistical Method
7	KS184408	Experimental Design	3	4	Regression Analysis
8	KS184408	Mathematics IV	3	4	Mathematics III
9	KS184410	Mathematics Statistics I	3	4	Probability Theory
10	KS184512	Non Parametric Statistics	3	5	Experimental Design
11	KS184513	Mathematics Statistics II	3	5	Mathemathic Statistics I
12	KS184514	Stochastics Process	3	5	Probability Theory, Mathemathic Statistics I
13	KS184615	Multivariate Analysis	4	6	Matriks, Mathemathic Statistics I, Mathemathic Statistics II
14	KS184616	Categorical Data Analysis	3	6	Mathemathic Statistics I
15	KS184617	Time Series Analysis	3	6	Regression Analysis
16	KS184721	Practical Work	2	7	At least have taken 100 credits courses
17	KS184618	Research Methodology	2	6	None
18	KS184823	Statistical Consulting	3	8	Data Analysis
19	KS184822	Final Project	6	8	At least have taken 120 credits courses
20	KS184625	Non Parametric Regression	3	6	Regression Analysis
21	KS184626	Bayessian Analysis	3	6	Regression Analysis
22	KS184627	Time Series Econometrics	3	8	Introduction to Economy Theory, Time Series Analysis, Regression Analysis
23	KS184240	Computer Programming	4	2	None
24	KS184341	Numerical Analysis	3	3	None
25	KS184442	Exploratory Data Analysis	2	4	Introduction to Statistical Method
26	KS184443	Statistical Computation	3	4	Computer Programming, Regression Analysis
27	KS184746	Simulation Techniques	3	7	Computer Programming
28	KS184645	Data Mining	3	6	Multivariate Analysis
29	KS184747	Data Analysis	3	7	Time Series Analysis, Multivariate Analysis, Regression Analysis, Categorical Data Analysis
30	KS184528	Data Structure and Algorithm	2	5	Computer Programming
31	KS184648	Management Information System	3	6	Computer Programming
32	KS184749	Statistical Machine Learning	3	7	Regression Analysis, Time Series Analysis, Multivariate Analysis
33	KS184411	Operation Management	3	4	None
34	KS184544	Statistical Quality Control	4	5	Introduction to Statistical Method
35	KS184529	Operation Research	3	5	None
36	KS184530	Quality Management	3	5	None
37	KS184531	Business Decision Analysis	3	5	Introduction to Statistical Method
38	KS184632	Six Sigma	3	6	Introduction to Statistical Method, Teknik Pengendalian Kualitas
39	KS184633	Quality Design	3	6	Experimental Design
40	KS184634	Reability Analysis	3	6	Mathemathic Statistics
41	KS184735	Logistics and Supply Chain Management	3	7	None
42	KS184736	Marketing Research Methods	3	7	Regression Analysis, Multivariate Analysis, Categorical Data Analysis
43	KS184102	Introduction to Economy Theory	3	1	None
44	KS184720	Econometrics	3	7	Regression Analysis, Introduction to Economy Theory
45	KS184537	Financial Mathematics	3	5	Introduction to Statistical Method
46	KS184538	Accounting	3	5	None
47	KS184639	Financial Analysis	3	6	Introduction to Economy Theory
48	KS184650	Risk Analysis	3	6	Probability Theory, Introduction to Economy Theory
49	KS184751	Business Analytics	3	7	Statistical Computation
50	KS184752	Actuarial	3	7	Financial Mathematics, Mathemathic Statistics I
51	KS184553	Demographic Studies	3	5	Introduction to Statistical Method, Regression Analysis
52	KS184719	Official Statistics	3	7	Regression Analysis, Non Parametric Statistics
53	KS184654	Social Research Methods	3	6	Survey and Sampling Technique, Categorical Data Analysis
54	KS184555	Biostatistics	3	5	Non Parametric Statistics, Categorical Data Analysis, Survey and Sampling Technique
55	KS184824	Survival Analysis	3	8	Mathemathic Statistics I, Regression Analysis, Categorical Data Analysis
56	KS184757	Meta Analysis	3	7	Regression Analysis, Categorical Data Analysis
57	KS184656	Spatial Statistics	3	6	None
58	UG184914	English	3	1	None
59	SF18490	Physics I	3	1	None
60	KM18490	Mathematics I	3	1	None
61	SK18490	Chemistry	3	1	None
62	KM184201	Mathematics II	3	2	None
63	UG184916	Technological Insights and Applications	3	8	None
64	SF184201	Physics II	4	2	None
65	UG184911	Pancasila	2	3	None
66	UG184912	Bahasa	2	2	None
67	UG1849XY	Religion	2	2	None
68	UG184913	Nationality	3	8	None
69	UG184915	Technopreneurship	3	5	None
70		Enrichment Course	3	6	At least have taken 90 credits courses

Staff Handbook

Staff Handbook - Department of Statistics

On Job Training Manual Book

EN_Panduan KP-Sarjana-Statistika-FSAD-ITS-10032020

Procedures and Forms form On Job Training

CLICK HERE

Final Project Guidlines

280-SK-Rektor-ttg-Pedoman-Penyusunan-Laporan-Tugas-Akhir-Sarjana-Sarjana-Terapan

CLICK HERE

Final Project Manual Book

EN_Panduan_TA-Sarjana-Statistika-FSAD-ITS-10032020_fix

Procedures and Forms form Final Project

CLICK HERE

Kegiatan Merdeka Belajar – Kampus Merdeka (MB – KM) merupakan proses pembelajaran yang dilaksanakan di luar Program Studi baik yang ada di internal ITS maupun di luar ITS yang terdiri atas: