The 2020 Curriculum

Submitted by admin on Fri, 08/12/2022 - 12:02

In mid-2020, the Minister of Education and Culture of the Republic of Indonesia launched the "Merdeka Belajar - Kampus Merdeka" (Independent learning - independent campuses) program. Responding to this policy, which then abbreviated as MBKM, Universitas Negeri Yogyakarta (UNY) revised the curriculum. The main differences between the MBKM curriculum or the 2020 curriculum with the previous curriculum include:

  • This curriculum allows students to do internships or for a period of two months or more.
  • There are three patterns of study period for taking courses.
  • There are opportunities to take courses outside the study program, across faculties, and even across universities.
  • The course structure has been adjusted to the results of the Merdeka Campus workshop by the Statistics College Forum (Forstat) 2020.
  • "Condensation" of several courses without reducing the quality of student understanding.

This curriculum has been used by students of the 2020 cohort and the later.

 

Program Learning Outcomes

The formulation of Program Learning Outcomes (PLO) was prepared jointly by the lecturers of the Bachelor of Science in Statistics study program under the direction of the Mathematics Education Department management, which was derived from the graduate profile by meeting level 6 of the Indonesian National Qualifications Framework (KKNI) and National Higher Education Standards (Permenristek Dikti Number 44 of 2015), as well as referring to the results of professional organization deliberations (Indonesian Statistics Higher Education Forum), as well as input from various related parties. Every graduate of the Bachelor of Statistics study program at Yogyakarta State University has a minimum PLO as follows.

 

1. Attitude:

CPL1: To demonstrate faith in God Almighty and uphold human values based on religion, morals, and ethics

CPL2: To appreciate the diversity of cultures, religions, beliefs, and opinions and contribute to a life of society, nation, and state-based on Pancasila

CPL3: To demonstrate a responsible attitude according to academic ethics and professional ethics

 

2. Knowledge Mastery:

CPL4: To master the basic concepts of statistics, programming, and statistical science for solving problems in various fields and supporting further studies
  CPL5: To master some of the latest statistical and data science methods as the basis for lifelong learning

 

3. General Skills:

CPL6: To collaborate and think logically for solving problems, making decisions, and implementing science and technology

 

4. Particular Skills:

CPL7: To master the mathematical foundation for developing thinking related to statistics and probability through exploration, logical reasoning, generalization, abstraction, and formal proof

CPL8: To perform collection, processing, and management data appropriately and effectively

CPL9: To perform analysis, presentation, and interpretation of data with the help of software on solving problems in various fields
  CPL10: To develop algorithms in programming languages for solving statistical problems
  CPL11: To apply current data science methods for solving problems appropriately

CPL12: To deliver creative and innovative ideas related to the development and application of statistics in spoken and written form

In addition, there are two additional PLO which cover aspects of knowledge and skills to enrich the abilities of Bachelor of Statistics Study Program graduates, namely

 CPL T1: Mastering the basic concepts of advanced mathematics.
 CPL T2: Master advanced programming concepts.

See the distribution of PLO in courses at the following link.

 

Courses Summary

Referring to the 2020 MBKM curriculum, the courses that must be taken to obtain a Bachelor of Statistics (S.Stat.) degree are 147-152 credits, consisting of several categories as follows.

No Courses Group Pattern (Credit hours)
 5-1-2  6-1-1 6-0-2 
1 General University Courses (MKU) 14 14 14
2 Elective University Courses (MKU) 2 2 2
3 Faculty Courses 4 4 4
4 Statistics Core Course 71 71 71
5 Advanced Courses 9 12 12
6 Elective courses 0 12 9
7 Outside Study Programs at UNY 18-20 12-16 0
8 UNY Outside Courses 29-32 20 35-38
  TOTAL 147-152 147-151 147-150

Each student can choose one of the three study period patterns with guidance from the Academic Supervisor (DPA).

 

Distribution of Courses during Four Years

Semester 1 (all study period patterns)

No Code Course Name  Credit hours Prerequisite
T P F  Total
1 MKU6201 Islamic Education 2     2  
MKU6202 Catholic Education 2        
MKU6203 Christian Education 2        
MKU6204 Hindu Education 2        
MKU6205 Buddhist Education 2        
MKU6206 Confucian Education 2        
2 MKU6207 Civic Education 2     2  
3 MKU6211 English 2     2  
4 FMI6202 Statistics 2     2  
5 STA6301 Logic and Set 3     3  
6 STA6302 Basic Calculus for Statistics  3     3  
7 STA6303 Linear Algebra and Matrices 3     3  
8 MKU6212 Digital Transformation 1 1   2  
9 STA6204 History and Ethics of Statistics 2     2  
Total 20 1   21  

 

Semester 2 (all study period patterns)

No Code Course Name  Pattern (Credit hours) Prerequisite
T P F  Total
1 MKU6208 Pancasila 2     2  
2 MKU6209 Bahasa Indonesia 2     2  
3 MKU6213 Creativity, Innovation, and Entrepreneurship 2     2  
4 STA6305 Data Analysis and Visualization 2 1   3 FMI6202
5 STA6306 Nonparametric Statistics 3     3 FMI6202
6 STA6307 Advanced Calculus for Statistics 3     3 STA6302
7 STA6308 Regression Analysis 2 1   3 FMI6202
8 STA6309 Algorithm and Statistical Programming 2 1   3 MKU6212
Total 18 3   21  

 

Semester 3 (all study period patterns)

No Code Course Name  Pattern (Credit hours) Prerequisite
T P F Total
1 MKU6216 Social Literacy and Humanity 2     2  
2 FMI6201 Study of Mathematics and Natural Sciences   2     2  
3 STA6310 Experimental Design 3     3 FMI6202
4 STA6311 Statistical Optimization 2 1   3 STA6309
5 STA6312 Probability Theory 3     3 STA6307
6 STA6313 Sampling and Survey Techniques 3     3 FMI6202
7 STA6314 Database for Statistics 2 1   3 STA6309
8 STA6315 Time Series Analysis 3     3 STA6308
Total 20 2   22  

 

Semester 4 (all study period patterns)

No Code Course Name  Pattern (Credit hours) Prerequisite
T P F Total
All learning patterns          
1 STA6316 Mathematical Statistics 3     3 STA6312
2 STA6317 Categorical Data Analysis 3     3 STA6308
3 STA6318 Statistical Computation   2 1   3 STA6309
4 STA6319 Introduction to Multivariate Statistics 2 1   3 STA6308
5 STA6325 Educational Statistics 2 1   3 STA6308
6 STA6320 Research Design 3     3 STA6313
Pola masa belajar 5-1-2 dan 6-1-1          
7   Outside Study Programs at UNY       3-4 adjust
Pola masa belajar 6-0-2          
7   Elective Courses       3 adjust
Total 15-18 3-4   21-22  

 

Semester 5

No Code Course Name Pattern (Credit hours) Prerequisite
T P F Total
Semua pola masa belajar          
1 STA6321 Linear Model 3     3 STA6308
2 STA6326 Statistical Simulation 2 1   3 STA6318
3 STA6322 Multivariate Statistics  2 1   3 STA6319
4 STA6323 Statistical Machine Learning 2 1   3 STA6309
5 STA6324 Data Mining for Statistics 2 1   3 STA6309
6 STA6327 Bayesian Statistics 3     3 STA6316
Pola masa belajar 5-1-2          
7   Outside Study Programs at UNY       3-4 adjust
Pola masa belajar 6-1-1 dan 6-0-2          
7   Elective Courses       3 adjust
Total       21  

 

Semester 6

No Code Course Name Credit Hours Prasyarat
T P F Total
Pattern 5-1-2          
1.   Elective Courses Outside of Study Programs at UNY       12 menyesuaikan
2.   Elective Courses Outside UNY        9-12 menyesuaikan
Pattern 6-1-1          
1. STA6328 Artificial Neural Networks 3     3 STA6309
2.   Elective Study Program Course       9 menyesuaikan
3.   Elective Courses Outside Study Programs at UNY       9-12 menyesuaikan
Pola masa belajar 6-0-2          
1. STA6328 Artificial Neural Networks 3     3 STA6309
2.   Elective Study Program Course       3 menyesuaikan
3.   Elective Courses Outside Study Programs at UNY       15-18 menyesuaikan
Total       21-24  

 

Semester 7 (all study period patterns)

No Code Course Name Credit Hours Prasyarat
T P F Total
1 PKL6601 Internship     6 6  
2 MKU6614 Community Service     6 6  
Total     12 12  

 

Semester 8 (all study period patterns)

No Code Course Name Credit Hours Prasyarat
T P F  Total
1 STA6849 Undergraduate Thesis     8 8  
Total     8 8  

Descriptions of compulsory courses can be seen at the following link: https://stat.fmipa.uny.ac.id/en/description-compulsory-courses

 

Elective Courses

The subjects of this elective group study program are divided into 4 specialization groups, namely Education and Social Sciences, Biostatistics, Actuarial Science, Economics and Business. This course is also offered to be taken by students from other study programs, both inside and outside UNY. Arrangements for the implementation of elective courses are carried out through the policy of the study program manager.

 

Field: Education and Social Sciences

The field of Education and Social Sciences also use a number of quantitative methods which are of course part of Statistics.

No Code Course Name Credit Hours Semester Prerequisit
T P F  Total
1 STA6329 Missing Data Analysis 3     3 5 STA6308
2 STA6330 Statistical Mediation Analysis 3     3 5 STA6308
3 STA6331 Structural Equation Modeling 2 1   3 6 STA6308
4 STA6332 Longitudinal Data Analysis 3     3 6 STA6308
5 STA6333 Multilevel Modeling 2 1   3 6 STA6308

 

Field: Biostatistics

Biostatistics explores the application of statistics in the health sector. This field is closely related to epidemiology, medicine, and public health.

No Code Course Name Credit Hours Semester Prerequisit
T P F  Total
1 STA6334 Applied Biostatistics 2 1   3 5 STA6308
2 STA6335 Meta Analysis 3     3 5 STA6308
3 STA6336 Survival Analysis 2 1   3 6 STA6306, STA6316
4 STA6337 Spasial Statistics 3     3 6 STA6308
5 STA6338 Statistical Methods for Epidemiology 3     3 6 STA6308

 

Field: Actuarial Science

Actuarial Science is the application of probability and statistical methods in the field of insurance, both general insurance and life insurance.

No Code Course Name Credit Hours Semester Prerequisit
T P F  Total
1 STA6339 Financial Mathematics 3     3 5 STA6307
2 STA6340 Mathematical Economics 3     3 5 STA6307
3 STA6341 Life Insurance 3     3 6 STA6312
4 STA6342 Risk Modeling 2 1   3 6 STA6312
5 STA6343 Pension Plan 2 1   3 6 STA6312

 

Field: Economics and Business

Statistics are very necessary in making decisions in the fields of economics and business. The application of statistics in these two fields can be found in the industrial world.

No Code Course Name Credit Hours Semester Prerequisit
T P F Total
1 STA6344 Econometrics 2 1   3 5 STA6308
2 STA6345 Statistical Quality Control 3     3 5 STA6308
3 STA6346 Financial Statistics 2 1   3 6 STA6308
4 STA6347 Stochastic Process 3     3 6 STA6312
5 STA6348 Business Analytics 3     3 6 STA6312

 

Descriptions of elective courses can be seen at the following link: https://stat.fmipa.uny.ac.id/en/description-elective-courses