2018-2023 CURRICULUM OF BACHELOR IN STATISTICS

2018-2023 Curriculum of  Bachelor in Statistics

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

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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

  1. 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
  1. An individual who can contribute to the professional practice of their chosen field through effective communication, leadership, teamwork, service, and a high ethical
  2. 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

The composition courses based on group

Courses Number of credit %
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
Sylabus Handbook
1 SK184101 Chemistry 3
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
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
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
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
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
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
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
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
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

The Academic Guidebook

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

On Job Training Manual Book

Procedures and Forms form On Job Training

Final Project Guidlines

Final Project Manual Book

Procedures and Forms form Final Project

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:

  1. pembelajaran dalam Program Studi lain di internal ITS;
  2. pembelajaran dalam Program Studi yang sama pada Perguruan Tinggi di luar ITS;
  3. pembelajaran dalam Program Studi lain pada Perguruan Tinggi di luar ITS; dan
  4. pembelajaran pada lembaga non Perguruan Tinggi.

 

Ruang lingkup kegiatan MB – KM adalah 8 (delapan) kegiatan pembelajaran yang meliputi:

  1. Magang/ Praktik Kerja;
  2. Membangun Desa/ Kuliah Kerja Nyata Tematik;
  3. Pertukaran Pelajar;
  4. Proyek Kemanusiaan;
  5. Penelitian/ Riset;
  6. Kegiatan Wirausaha;
  7. Studi/ Proyek Independen; dan
  8. Asistensi Mengajar di Satuan Pendidikan.

 

Kegiatan Membangun Desa/ Kuliah Kerja Nyata Tematik dan Proyek Kemanusiaan diwujudkan melalui kegiatan pengabdian kepada masyarakat.

Surat Edaran WR1 BKP Aturan MBKM di ITS

Kegiatan MBKM Bagi Mahasiswa IUP ITS

MBKM GUIDEBOOK

SOP MBKM GRADUATE PROGRAM DEPARTMENT OF STATISTICS

Recommendations Course Conversion MBKM Program

Form for Conversion Value in Department of Statistics

Conversion Value File Upload Flow

Registration of MBKM Study Program S1 Statistics of Department

Registration