KURIKULUM 2018-2023 S1 STATISTIKA KELAS INTERNASIONAL (IUP)

Program Studi

Bantuan

KURIKULUM 2018-2023 S1 STATISTIKA KELAS INTERNASIONAL (IUP)

Vision, Mission and Goals

Vision

To become an educational institution for undergraduate level and developing statistics and data science international standard that contribute to science and technology, particularly in the fields of Computing, Business and Industry, Economics and Finance, Social and Population, and Environment and Health.

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)

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

The composition courses based on group

Courses		Number of credit	%
Courses		SKS	%
National courses		8	5%
ITS courses		7	5%
Math and Basic Science courses		16	11%
Faculty course		3	2%
Additional courses		6	4%
Study Programmed Courses	Theoretical	16	11%
	Statistical Modeling	34	23%
	Business and Industrial Statistics	7	5%
	Statistical Computing and Data Science	21	14%
	Data Analytics, Economics, and Financial Statistics	6	4%
	Social and Population Statistics	3	2%
	Statistical Environmental and Health	3	2%
	Practical and Final Project	8	5%
	Enrichment	3	2%
	Elective	9	6%
Total		150	100%

The study load for the Bachelor Programme is at least 150 credits including the final project, which is divided into the preparatory stage with a study load of 36 credits scheduled in two semesters, and the Bachelor stage with a study load of 108 credits scheduled for six semesters. Students take maximum 3 credits of enrichment courses in another department at ITS. The course detailed on each semester, can be seen in following:

List Of Courses For Undergraduate Program

SEMESTER I
No.	Course Code	Course Name	Credit	Documents
No.	Course Code	Course Name	Credit	Sylabus	Handbook
1	SK184101	Chemistry	3	link	link
2	KS184102	Introduction to Economy Theory	4	link	link
3	KM184101	Mathematics I	3	link	link
4	KS184101	Introduction to Statistical Method	3	link	link
5	SF184101	Physics I	4	link	link
6	UG184914	English	2	link	link
	Total credit		19

SEMESTER II
No.	Course Code	Course Name	Credit	Documents
No.	Course Code	Course Name	Credit	Sylabus	Handbook
1	UG184912	Bahasa Indonesia	2	link	link
2	SF184201	Physics II	3	link	link
3	KS184203	Sampling and Survey Techniques	3	link	link
4	KM184201	Mathematics II	3	link	link
5	KS184240	Computer Programming	4	link	link
6	UG1849XY	Religion	2	link	link
	Total credit		17

SEMESTER III
No.	Course Code	Course Name	Credit	Documents
No.	Course Code	Course Name	Credit	Sylabus	Handbook
1	KS184341	Numerical Analysis	3	link	link
2	UG184911	Pancasila (Five Basic Principles)	2	link	link
3	KS184304	Regression Analysis	3	link	link
4	KS184305	Linear Algebra	4	link	link
5	KS184306	Mathematics III	4	link	link

	Total credit		18

SEMESTER IV
No.	Course Code	Course Name	Credit	Documents
No.	Course Code	Course Name	Credit	Sylabus	Handbook
1	KS184442	Explorative Data Analysis	2	link	link
2	KS184408	Experimental Design	3	link	link
3	KS184409	Mathematics IV	3	link	link
4	KS184410	Mathematical Statistics I	3	link	link
5	KS184443	Statistical Computation	3	link	link
6	KS184411	Operation Management	3	link	link
7		Extracurricular Activities	1	link	link
	Total credit		18

SEMESTER V
No.	Course Code	Course Name	Credit	Documents
No.	Course Code	Course Name	Credit	Sylabus	Handbook
1	UG184915	Technopreneurship	2	link	link
2	KS184512	Non Parametric Statistics	3	link	link
3	KS184513	Mathematical Statistics II	3	link	link
4	KS184514	Stochastic Process	3	link	link
5	KS184544	Statistical Quality Control	4	link	link
6		Elective Course I	3	link	link
7		Extracurricular Activities	1	link	link
	Total credit		19

SEMESTER VI
No.	Course Code	Course Name	Credit	Documents
No.	Course Code	Course Name	Credit	Sylabus	Handbook
1	KS184615	Multivariate Analysis	4	link	link
2	KS184616	Categorical Data Analysis	3	link	link
3	KS184617	Time Series Analysis	3	link	link
4	KS184618	Research Methodology	2	link	link
5	KS184645	Data Mining	3	link	link
6		Elective Course II	3	link	link
7		Foreign Language	2	link	link
	Total credit		20

SEMESTER VII
No.	Course Code	Course Name	Credit	Documents
No.	Course Code	Course Name	Credit	Sylabus	Handbook
1	KS184719	Official Statistics	3	link	link
2	KS184746	Simulation Techniques	3	link	link
3	KS184720	Econometrics	3	link	link
4	KS184747	Data Analysis	3	link	link
5	KS184721	On Job Training	2	link	link
6		Elective Course III	3	link	link
7		Scientific Publication	2	link	link
	Total credit		19

SEMESTER VIII
No.	Course Code	Course Name	Credit	Documents
No.	Course Code	Course Name	Credit	Sylabus	Handbook
1	UG184916	Insight and Technology Application	3	link	link
2	KS184822	Final Project	6	link	link
3	KS184823	Statistical Consulting	3	link	link
4	UG184913	Civics	2	link	link
5	KS184824	Survival Analysis	3	link	link
6		Elective Course IV	3	link	link
7
	Total credit		20

List Of Elective Courses

No.	Course Code	Course Name	Credit	Documents
No.	Course Code	Course Name	Credit	Sylabus	Handbook
RMK THEORY and STATISTICAL MODELING
1	KS184625	Nonparametric Regression	3	link	link
2	KS184626	Bayesian Analysis	3	link	link
3	KS184827	Time Series Econometrics	3	link	link
RMK COMPUTATIONAL STATISTICS
4	KS184528	Data Structure and Algorithm	2	link	link
5	KS184648	Management Information System	3	link	link
6	KS184749	Statistical Machine Learning	3	link	link
RMK BUSINESS and INDUSTRIAL STATISTICS
7	KS184529	Operation Research	3	link	link
8	KS184530	Quality Management	3	link	link
9	KS184531	Business Decision Analysis	3	link	link
10	KS184632	Six Sigma	3	link	link
11	KS184633	Quality Design	3	link	link
12	KS184634	Reliability Analysis	3	link	link
13	KS184735	Logistic and Supply Chain Management	3	link	link
14	KS184736	Marketing Research Method	3	link	link
RMK ECONOMIC and FINANCE STATISTICS
15	KS184537	Financial Mathematics	3	link	link
16	KS184538	Accounting	3	link	link
17	KS184639	Financial Analysis	3	link	link
18	KS184650	Risk Analysis	3	link	link
19	KS184751	Analytical Business	3	link	link
20	KS184752	Actuarial	3	link	link
RMK SOCIAL and DEMOGRAPHIC STATISTICS
21	KS184553	Demography Study	3	link	link
22	KS184654	Social Research Method	3	link	link
RMK ENVIRONMENT and HEALTH STATISTICS
23	KS184555	Biostatistics	3	link	link
24	KS184757	Meta Analysis	3	link	link
25	KS184656	Spatial Statistics	3	link	link

26	KS184658	Internship	3	link	link
27	KS184459	Selected Topic	3	link	link

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