Polling & survey
Sampling under uncertainty.
Darker cells mean a higher score for this topic on that metric.
Academic rigor86
Selectivity70
Employability88
Creativity52
Math intensity90
People-facing44
LessMore
Each bar is a 0-100 atlas score for this topic, not a timeline.
- 011
- 022
- 033
- 044
Last reviewed Sources & creditsMedia creditsMethodology
Quick facts
4 yearsTypical bachelor
STEM & EngineeringField
90Math intensity
88Employability*
44People-facing*
70Selectivity*
Statistics makes uncertainty usable — design, inference and the ethics of claiming a pattern is real. Software is a tool; the craft is deciding what the data can support.
Campus life is computing labs, consulting projects with other departments and seminar critique of analyses. Capstones often look like applied studies with reproducible code.
Careers span data science, biostatistics, economics-adjacent roles, government and research. Scores are relative among forty majors on this site.
The profile
- Academic rigor86
- Selectivity70
- Employability88
- Creativity52
- Math intensity90
- People-facing44
Employability signal
Typical bachelor years: 4
Scores are relative across the forty majors on this site — not absolute rankings of universities.
Popularity & Demand →86Academic rigor
70Selectivity
88Employability
52Creativity
90Math intensity
44People-facing
Industries this major feeds
Sectors where graduates and research from this field show up most often — plates from Wikimedia Commons.
Clinical trials
Evidence for medicines.
Quality & Six Sigma
Process variation at work.
ML evaluation
Metrics that decide models.
People who shaped the field
Checkable figures whose work still frames how the discipline is taught and practised.
R. A. Fisher
Modern statistics
1890–1962
Unknown author Unknown author · Public domain
Karl Pearson
Correlation
1857–1936
Unknown author Unknown author · Public domain
Florence Nightingale
Statistical graphics
1820–1910
Henry Hering (1814-1893) · Public domain
John Tukey
EDA
1915–2000
Henry Hering (1814-1893) · Public domainSeven ways into this major
Compare with neighbours
Same-field head-to-heads built from the six score axes.
Frequently asked questions
What do you study in Statistics?
Probability — Probability trains the habits statistics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
What does a Statistics career path look like?
Foundation years — 0–2 — Build vocabulary and habits; seek near-peer tutoring before gaps compound.
How should I prepare for Statistics?
Practise the entry craft — Problem sets, portfolios, essays or auditions that mirror first-year reality — not only entrance exams.
How long does a typical Statistics degree take?
Most bachelor pathways run about 4 years of full-time study, though professionally accredited or longer first degrees can exceed that, and some systems split into 3+2 Bologna structures.
Is Statistics mostly theoretical or practical?
Expect both. Foundations lean theoretical; later years push computing labs, consulting projects and seminar critiques. The balance depends on accreditation and department culture.
Do I need strong mathematics?
Math intensity on this site is scored 90/100 relative to other majors. That is a signal, not a gate — check the specific programme's calculus and statistics requirements.
How selective is entry?
Selectivity here is 70/100 relative to the other majors catalogued — a composite of typical grade barriers and competition, not a single exam cut-off.
What communities should I join?
Start with the departmental society, then look for national student chapters and one serious online forum where practitioners share primary sources rather than memes.
Similar majors
Why labels are thematic — not a ranking of better majors.
Scores are browsing aids for curriculum and career lanes, not a league table of worth.
⚗️
Chemical Engineering
Turning reactions into plants — scale, safety and efficiency from molecule to factory.
Employability 82 Same field neighbour
⚡
Electrical Engineering
Circuits, fields and signals — powering, sensing and communicating the physical world.
Employability 88 Same field neighbourMore in STEM & Engineering
💻
Computer Science
Algorithms, systems and software — how machines are made to reason, store and communicate.
Employability 94 ⚡Electrical Engineering
Circuits, fields and signals — powering, sensing and communicating the physical world.
Employability 88 🔧Mechanical Engineering
Forces, materials and machines — designing things that move, bear load and last.
Employability 86 🌉Civil Engineering
Infrastructure that societies stand on — bridges, water, roads, cities and codes.
Employability 84 ⚗️Chemical Engineering
Turning reactions into plants — scale, safety and efficiency from molecule to factory.
Employability 82 🛰️Aerospace Engineering
Flight in air and vacuum — structures, propulsion, guidance and certification.
Employability 76 📊Data Science
Statistics, computing and domain sense — turning messy data into decisions that hold up.
Employability 92 🧮Mathematics
Proof, structure and abstraction — the language that other sciences borrow.
Employability 70 ⚛️Physics
Matter, energy, space and time — from lab benches to the edge of the observable.
Employability 68 🧪Chemistry
Molecules and reactions — how substances change, bind and are made safely.
Employability 72