Master

Master Degree

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. The Program Educational Objectives (PEO) reflect the achievement of graduates of study programs after three years. The PEO of Master of Statistics degree program (MSP) is to produce qualified Masters in Statistics so that they can have careers as lecturers, researchers, and practitioners in the field of Statistics and Data Science with the following characteristics:
    • Able to use and develop knowledge, skills, and competence professionally to solve problems in their profession using an interdisciplinary approach [PEO-1: professional accomplishment].
    • Has a character who wants to learn throughout his life so that he/she can develop himself through further studies at the Doctoral level at home and abroad, research, training, and professional activities [PEO-2: academic accomplishment].
    • Have a good and independent personality, have professional abilities and professional ethics, have high integrity, responsibility and can develop a network system [PEO-3: social accomplishment].

Programme Learning Outcome

PLO-1: Able to apply knowledge of statistical theory, mathematics, and computation in various fields and develop them
PLO-2: Able to design and implement data collection with the correct methodology
PLO-3: Able to identify, formulate, and analyze data with appropriate statistical methods and interpret them to solve statistical problems in various applied fields
PLO-4: Able to conduct studies and compare the strengths and weaknesses of a statistical methodology (method or model) in solving a multidisciplinary system/problem in statistics and data science, both using mathematical proof and using computational techniques and modern computing tools.
PLO-5: Able to communicate effectively and work together in interdisciplinary and multidisciplinary teams
PLO-6: Able to apply an attitude of responsibility, professional ethics, and uphold human values
PLO-7: Able to motivate oneself to think creatively and learn lifelong

Profile of Graduates

The curriculum of Master Degree Program of Statistics is arranged based on the learning achievements of graduates that refer to the Indonesian National Qualification Framework (KKNI) and National Standard of Higher Education (SN-DIKTI). Our tracer study reveals that our graduates work in the following areas:

  • Lecturer: applying knowledge and skill in statistics to give a lecture on statistical courses and related fields;
  • Statistician and researcher: applying knowledge and skill in statistics to support or conduct research in various fields, including the governmental institution;
  • Data scientist and information technology: applying knowledge and skill of statistical method, computational statistics, and statistical machine learning for data processing and data analysis as well as its visualization;
  • Finance, banking, and insurance: applying knowledge and skill of statistical methods in finance, banking, and insurance;
  • Further study in a doctoral program, and
  • Entrepreneur: applying the knowledge and skill of statistical thinking to business and entrepreneurship

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
1 SK184101 Chemistry 3
2 KS184102 Introduction to Economy Theory 4
3 KM184101 Mathematics I 3
4 KS184101 Introduction to Statistical Method 3
5 SF184101 Physics I  4
6 UG184914 English 2
Total credit 19

 

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

 

SEMESTER: III
No. Course Code Course Name Credit
1 KS184341 Numerical Analysis  3
2 UG184911 Pancasila (Five Basic Principles) 2
3 KS184304 Regression Analysis 3
4 KS184305 Linear Algebra 4
5 KS184306 Mathematics III
3
Total credit 18

 

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

 

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

 

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

 

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

 

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

List Of Elective Courses

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

 

26 KS184658 Internship 3
27 KS184459 Selected Topic 3

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