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Statistics

Statistika

This study program teaches you how to design data collection, process it, analyze uncertainty, and present findings to support decision-making.

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Level S1 · 4 years
Market demand High, and continues to increase
Mid salary Rp 8–12 million /mo
01

Big Picture

DATA

Statistics focuses on the theory, methods, and practice of collecting, modeling, analyzing, and interpreting data across various fields.

Core courses

  • ›Probability
  • ›Mathematical Statistics
  • ›Regression Methods
  • ›Sampling Methods
  • ›Design of Experiments
  • ›Statistical Computing
  • ›Multivariate Data Analysis
WHO THIS FITS

You are a good fit if you are detail-oriented, comfortable with math and logic, willing to learn programming, and able to explain analysis results to non-technical audiences.

Education levels

how does it differ from other levels?
D3
A D3 in Statistics is shorter and vocational, emphasizing operational skills for data processing and presentation. Graduates are directed toward entry-level technical roles, whereas an S1 provides a broader foundation in theory, inference, and analysis.
D4
A D4, or Bachelor of Applied Statistics, is oriented toward practice and professional needs, including surveys, censuses, data processing, and official statistics. An S1 in Statistics tends to be more academic and gives more room for theory and methodological development.
S2
An S2 in Statistics deepens the theory, methodology, and application of statistics after an S1. It typically takes about 1.5–2 years and is aimed at advanced analytical or research expertise, rather than building a bachelor's foundation.
S3
An S3 in Statistics focuses on original research and the development of new theories or methodologies, usually undertaken after an S2. Graduates are directed toward careers as researchers, academics, or leaders in scientific development.

Often confused with…

what's the difference?
vsMatematika (Mathematics)
Mathematics places more emphasis on proofs and abstract structures; Statistics focuses on data, uncertainty, and drawing conclusions.
vsSains Data (Data Science)
Data Science is typically broader in its coverage of data engineering, programming, and machine learning; Statistics provides a stronger foundation in inference and research design.
vsAktuaria (Actuarial Science)
Actuarial Science applies mathematics and statistics primarily to risk and finance; Statistics covers a broader range of application fields.
vsEkonomi (Economics)
Economics studies economic systems and behavior; Statistics provides quantitative methods that can be used to examine problems in economics and other fields.

Myth vs Fact

MYTH Statistics is just about calculating numbers and making tables.
FACT Statistics also encompasses survey design, modeling, measuring uncertainty, communicating results, and evaluating decisions.
MYTH You must be an expert in advanced mathematics from the start.
FACT A mathematical foundation is important, but your skills develop through gradual practice and application to real data.
MYTH Statistics graduates can only work at BPS (Statistics Indonesia).
FACT Graduates can work in data analysis, market research, quality control, risk management, banking, healthcare, government, and industry.
02

Toolkit & Prep

GUIDE

Personal hardware & software you need to prepare before classes start — requirements vary by program. Expensive, heavy-duty equipment is usually provided by the campus.

MINIMUM LAPTOP SPEC

Laptop with minimum 8 GB RAM, 256 GB SSD, processor equivalent to new-generation Intel Core i3 or AMD Ryzen 3, and stable internet connection. 16 GB RAM more comfortable for large datasets or modeling.

ESTIMATED STARTUP BUDGET
Rp 5–10 million

A one-time purchase that lasts through your studies.

Laptop
Choose upgradeable RAM and SSD.
Required
Spreadsheet
Used for basic data processing.
Required
Statistical programming language
Learn R or Python gradually.
Required
Statistical software
Ask campus about license before buying.
Optional
Cloud storage
Useful for backing up notebooks and datasets.
Optional
Scientific calculator
Useful for basic practice, but does not replace analysis software.
Optional
03

Facility Checklist

GUIDE

Questions specific to Statistics to bring to an open house or campus visit. Important facilities vary by program — these matter most.

Note: Myjor doesn't maintain a facilities database per campus. This is a tool for you to assess it yourself.

Is there an adequate computer lab for statistics and data analysis practicums?
Do students get licensed access to statistical software used in the curriculum?
Are lab computer specifications sufficient for dataset processing and statistical modeling?
Is there access to real datasets, data repositories, or official data sources for practice?
Does the campus provide consultation rooms or mentoring for practicums and analysis projects?
Is the lab internet connection stable enough to access software, repositories, and data sources?
Are there facilities for field surveys, data collection, or experimental design?
Ask about lab facilities and specific software at open house events, as this information may vary between campuses.

Tip: ask for a tour of the relevant labs/studios, not just the main building. Ask about access hours and whether undergrads can use the equipment.

04

Academic Quality

GUIDE

Three objective ways to assess a program's academic quality — including how to check them yourself.

A

Program accreditation status

Check the program's own accreditation rating (not just the campus's) on official sites. International accreditation is a plus for certain fields.

Unggul / A — top tier Baik Sekali / B Baik / C

Check at: BAN-PT (banpt.or.id) or the relevant LAM, & PDDIKTI (pddikti.kemdikbud.go.id).

B

Student–faculty ratio & how to calculate it

ratio = active students ÷ full-time faculty
Example: 600 students ÷ 25 faculty = 1 : 24
✓Ideal: ≈1:20 for STEM/science fields, ≈1:30 for social sciences/humanities (per Ministry of Education guidance).
!The smaller the second number, the more attention each student gets. Above 1:40 is worth flagging.
!Also check faculty qualifications (Master's/PhD) and whether there are industry practitioner lecturers.
C

Faculty research — relevant & current?

Look up faculty profiles and publications (Google Scholar / SINTA). For Statistics, look for those researching currently relevant topics:

Regression and classification methodsMultivariate statisticsSurvey and sampling designExperimental designComputational statisticsLongitudinal data analysisTime series and forecastingBiostatisticsSocial and demographic statisticsEconomic and business statisticsStatistical quality controlStatistical learning

E.g., is there faculty researching AI, or cancer-related topics? Active research topics signal the program keeps up with the field.

ASK AT THE OPEN HOUSE

"What's this program's student–faculty ratio? What research topics are faculty currently working on? What percentage of graduates find field-relevant jobs within 6 months?"

05

Partnerships

GUIDE

Campus partnerships heavily shape internship, research, and career paths. Which partners matter varies by program — here's what's relevant for Statistics.

Industry internships
Ask about paid or structured internship pathways at analytics firms, banks, insurance companies, consultancies, manufacturers, and research institutions.
Joint industry research
Ask about collaborative data analysis projects with companies or government agencies, including dataset access and student involvement.
Government and official statistics partners
Ask about partnerships with BPS, ministries, local governments, or survey institutions for sampling practice and data analysis.
Analytics certification and training
Ask about training or certification in R, Python, SQL, data visualization, surveying, and database management.
Health and social research
Ask about collaborations with hospitals, health institutions, social organizations, or research centers for biostatistics and survey projects.
Request a list of active MoUs
Ask for evidence of active MoUs, the types of activities involved, and the actual number of students participating in internships, research, or certification each year.

Ask for a list of official partners with active MoUs — not just logos in a brochure. Ask how many students are actually placed each year.

06

Career & Salary

DATA
Entry
0–2 years
Rp 5.5–8 million
per month
Mid
3–6 years
Rp 8–12 million
per month
Senior
7+ years
Rp 12–20 million
per month
Career pathsSalary range /mo
Data Analyst Rp 5.5–8 million
Statistician Rp 5–10 million
Research Analyst Rp 5–10 million
Business Intelligence Analyst Rp 6–12 million
Data Scientist Rp 7.5–10.5 million
Risk Analyst Rp 6–12 million
Survey Methodologist Rp 5–10 million
Quality Control Analyst Rp 5–10 million

Sources: Myjor 2024 industry salary survey (n=4,200), BPS, and job portals. Figures are medians, influenced by city, company, and experience.

Sources & References

The career & salary data above traces back to its sources. Click to expand/collapse the source list.

06 · Career & Salary (3 sources)