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Mathematics

Matematika

Mathematics studies structure, patterns, proofs, modeling, and data processing to understand both scientific and applied problems.

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Level S1 · 4 years
Market demand High, across industries
Mid salary Rp 8–15 million/month
01

Big Picture

DATA

Build mathematical foundation through analysis, algebra, applied math, modeling, optimization, computation, and data processing.

Core courses

  • ›Calculus
  • ›Linear Algebra
  • ›Abstract Algebra
  • ›Real Analysis
  • ›Differential Equations
  • ›Probability and Statistics
  • ›Mathematical Modeling
  • ›Computation and Data Science
WHO THIS FITS

Good fit if you enjoy abstract reasoning, proofs, step-by-step problem solving, and using math to read data or model real situations.

Education levels

how does it differ from other levels?
S2
Master's deepens theory or applied fields through advanced courses and a thesis. Duration typically about 2 years; graduates directed toward research, university teaching, or more specific analytical roles.
S3
Doctorate focuses on original research producing new contributions to mathematics. Longer duration; primary outputs are dissertation and publications; common path for researcher or lecturer careers.

Often confused with…

what's the difference?
vsStatistics
Mathematics emphasizes structures, theories, and proofs; Statistics focuses on data collection, analysis, and interpretation.
vsActuarial Science
Mathematics covers broad theory and applied fields; Actuarial Science focuses on risk, finance, insurance, and actuarial models.
vsMathematics Education
Mathematics focuses on math science and its applications; Mathematics Education prepares teaching competency in math.
vsComputer Science
Mathematics builds formal theories and models; Computer Science focuses on computation, software, systems, and algorithms.

Myth vs Fact

MYTH Mathematics graduates can only become teachers.
FACT Graduates enter data analysis, research, modeling, computation, banking, insurance, and other fields requiring quantitative reasoning.
MYTH All Mathematics courses just memorize formulas.
FACT Many assignments demand proofs, reasoning, modeling, and understanding why a method works.
MYTH Pure mathematics has no connection to the workplace.
FACT Math fundamentals apply to risk analysis, optimization, data science, research, and industrial modeling.
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, Core i3/Ryzen 3 class processor or newer; 16 GB RAM is more comfortable for computing and data processing.

ESTIMATED STARTUP BUDGET
Rp 5–10 million

A one-time purchase that lasts through your studies.

Laptop
Used for programming, numerical computing, report writing, and data processing.
Required
Python and Jupyter
Use a free distribution or installation according to your coursework needs.
Required
Scientific calculator
Useful for quick calculations, but it does not replace conceptual understanding.
Optional
LaTeX editor
Helps you write equations and mathematical reports in a neat format.
Optional
Cloud storage
For backing up notebooks, code, and reports.
Optional
03

Facility Checklist

GUIDE

Questions specific to Mathematics 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 a computing room or laboratory that Mathematics students can use for modeling and computation?
Do the laboratory computers have the mathematical or statistical software required by the curriculum?
Do students get access to Python, Jupyter, or other computational software at no additional cost?
Is there access to journals, e-books, and mathematical databases through the library?
Are there discussion rooms or tutoring facilities for assignments, projects, and research?
Ask about specific facilities that students can actually use during open house, not just a list of general campus facilities.

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 Mathematics, look for those researching currently relevant topics:

Analysis and algebraApplied mathematicsSystem modeling and simulationOptimizationIndustrial mathematicsDifferential equationsScientific computingData scienceProbability and statisticsOperations research

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 Mathematics.

Internship partners in industry and financial institutions
Ask about active internship tracks for data analysis, risk, modeling, actuarial science, or operations research.
Government research partners and research institutes
Ask about joint research projects, data access, research assistant schemes, and the number of students involved.
Industry partners for modeling and optimization
Ask whether there are real projects related to optimization, simulation, forecasting, or decision-making.
School and educational institution partners
If you are interested in teaching, ask about practicum programs, community service, or mathematics learning support.
Certification and computational training partners
Ask about Python training, data processing, numerical computing, or mathematics software that is actually available.
Active MoUs
Ask for a list of active MoUs, not just logos on a brochure. Ask how many students are actually placed 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 4–8 million/month
per month
Mid
3–6 years
Rp 8–15 million/month
per month
Senior
7+ years
Rp 15–30 million+/month
per month
Career pathsSalary range /mo
Data Analyst Rp 5.5–8 million/month
Data Scientist Rp 10–20 million/month
Researcher Rp 6–12 million/month
Risk Analyst Rp 6–15 million/month
Business Analyst Rp 6–15 million/month
Actuary or actuarial analyst Rp 6–20 million/month
Mathematics teacher or lecturer Rp 3.5–8 million/month

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 (4 sources)
https://id.indeed.com/career/data-analyst/salaries 2026-07-27 · aggregated salary portal
https://id.indeed.com/career/data-scientist/salaries 2026-07-27 · aggregated salary portal