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Statistics

Diploma Program

Learn more about various concentrations, explore the Curriculum adjust your Course Schedule to fit your time, know the required Tuition Fees, and understand the expected learning outcomes All the information you need to start your academic journey is here.

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Curriculum

The following is a complete list of courses that will be taken in each semester.

Course Code :
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Course Schedule

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Tuition Fee

Here are the study fees Diploma Program In Statistics
Diploma Program SNBP & SNBT Pathway
UKT Group I Rp500.000
UKT Group II Rp1.000.000
UKT Group III Rp2.000.000
UKT Group IV Rp2.500.000
UKT Group V Rp3.500.000
UKT Group VI Rp4.500.000
UKT Group VII Rp5.500.000
UKT Group VIII Rp6.500.000
Diploma Program Single Tuition Fee
Single Tuition Fee 1 IDR 500,000
Single Tuition Fee 2 IDR 1,000,000
Single Tuition Fee 3 IDR 2,000,000
Single Tuition Fee 4 IDR 2,500,000
Single Tuition Fee 5 IDR 3,500,000
Single Tuition Fee 6 IDR 4,500,000
Single Tuition Fee 7 IDR 5,500,000
Single Tuition Fee 8 IDR 6,500,000
UKT is paid every semester during the study period
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Learning Outcomes

Students of the Diploma Program in Statistics are expected :

Learning Outcomes
1 Capable of compiling and or determining design methods with efficient, easy, simple data collection/generation and applying them in the form of surveys and experiments.
2 Capable of forming conclusions by using statistical methods and numerical methods in making decisions in business processes.
3 Capable of optimizing operations management to design marketing strategies in seizing market opportunities and statistical quality control.
4 Capable of compiling statistical information systems by collecting data and creating programs in database preparation, data communication and network systems related to the field of computing.
5 Capable of collecting data related to designing samples and determining the number of sample elements in determining research targets.
6 Capable of organizing data by designing data sources to determine the data type.
7 Capable of presenting data with data tabulation and graphs in describing data descriptively.
8 Capable of analyzing data with hypotheses that have been designed for problem-solving.