Linear algebra
1–2Linear algebra trains the habits mathematics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Mathematics · Proof, structure and abstraction — the language that other sciences borrow.
Darker cells mean a higher score for this topic on that metric.
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Last reviewed Sources & creditsMedia creditsMethodology
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.
Expect both. Foundations lean theoretical; later years push problem sessions, chalkboards and quiet libraries. The balance depends on accreditation and department culture.
Math intensity on this site is scored 100/100 relative to other majors. That is a signal, not a gate — check the specific programme's calculus and statistics requirements.
Selectivity here is 80/100 relative to the other majors catalogued — a composite of typical grade barriers and competition, not a single exam cut-off.
Start with the departmental society, then look for national student chapters and one serious online forum where practitioners share primary sources rather than memes.
They are editorial composites grounded in common, checkable student and alumni patterns — attributed by role and place, not anonymous star ratings or fabricated celebrities.
A mathematics curriculum is a sequence, not a shopping list. Early courses build shared vocabulary; middle years introduce methods; the final stretch demands a project that can fail in public.
Elective freedom varies: some systems lock professional accreditation hours; others allow wide minors. The courses below are the common spine, not every university's catalogue.
Linear algebra trains the habits mathematics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Real analysis trains the habits mathematics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Abstract algebra trains the habits mathematics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Topology trains the habits mathematics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Probability trains the habits mathematics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Differential equations trains the habits mathematics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Number theory trains the habits mathematics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Geometry trains the habits mathematics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
A pure maths emphasis usually appears after foundations, when students choose seminars, labs or studios that deepen one problem family inside mathematics.
A applied maths emphasis usually appears after foundations, when students choose seminars, labs or studios that deepen one problem family inside mathematics.
A statistics emphasis usually appears after foundations, when students choose seminars, labs or studios that deepen one problem family inside mathematics.
A mathematical physics emphasis usually appears after foundations, when students choose seminars, labs or studios that deepen one problem family inside mathematics.
Proof writing is practised weekly in mathematics programmes; the percentage is relative strength among skills on this page, not a grade.
Abstraction is practised weekly in mathematics programmes; the percentage is relative strength among skills on this page, not a grade.
Problem decomposition is practised weekly in mathematics programmes; the percentage is relative strength among skills on this page, not a grade.
Computation is practised weekly in mathematics programmes; the percentage is relative strength among skills on this page, not a grade.
Teaching clarity is practised weekly in mathematics programmes; the percentage is relative strength among skills on this page, not a grade.
Persistence is practised weekly in mathematics programmes; the percentage is relative strength among skills on this page, not a grade.
Large-group framing plus primary texts or problem sets that define the week's vocabulary.
Supervised practice where mistakes are expected and feedback is specific.
Small-group argument; silence is expensive because the group notices.
A public synthesis — defence, exhibition, clinic portfolio or engineered prototype.
Treat the catalogue as a map of practised skills, not a brand promise. The department that grades hard and returns work fast usually teaches more than the one that advertises prestige alone.
Algorithms, systems and software — how machines are made to reason, store and communicate.
Employability 94 ⚡Circuits, fields and signals — powering, sensing and communicating the physical world.
Employability 88 🔧Forces, materials and machines — designing things that move, bear load and last.
Employability 86 🌉Infrastructure that societies stand on — bridges, water, roads, cities and codes.
Employability 84 ⚗️Turning reactions into plants — scale, safety and efficiency from molecule to factory.
Employability 82 🛰️Flight in air and vacuum — structures, propulsion, guidance and certification.
Employability 76 📊Statistics, computing and domain sense — turning messy data into decisions that hold up.
Employability 92 ⚛️Matter, energy, space and time — from lab benches to the edge of the observable.
Employability 68 🧪Molecules and reactions — how substances change, bind and are made safely.
Employability 72 📉Uncertainty made usable — design, inference and the ethics of claiming a pattern is real.
Employability 88