Data scientist
CoreData scientist is a common outcome cluster for data science graduates when core fits their elective and placement choices.
Data Science · Statistics, computing and domain sense — turning messy data into decisions that hold up.
Outcomes scatter. The honest pitch for data science is a cluster of roles and a ladder, not a single job title with a salary guarantee.
Where Tool-Lifes has a matching profession page, links are provided. Otherwise the role is still named so you can research it elsewhere.
Data scientist is a common outcome cluster for data science graduates when core fits their elective and placement choices.
Software engineer is a common outcome cluster for data science graduates when pipelines fits their elective and placement choices.
Economist is a common outcome cluster for data science graduates when causal work fits their elective and placement choices.
Product manager is a common outcome cluster for data science graduates when metrics fits their elective and placement choices.
Biostatistician is a common outcome cluster for data science graduates when health fits their elective and placement choices.
Quant analyst is a common outcome cluster for data science graduates when finance fits their elective and placement choices.
ML engineer is a common outcome cluster for data science graduates when production ml fits their elective and placement choices.
Policy analyst is a common outcome cluster for data science graduates when public data fits their elective and placement choices.
Build vocabulary and habits; seek near-peer tutoring before gaps compound.
Choose a track; collect artefacts (code, essays, clinics, portfolios) employers can inspect.
Public synthesis under supervision; convert into references and a coherent story.
Junior roles, rotations or graduate schemes; learning speed matters more than title.
Licensure, senior ownership or founding — field-dependent gates apply.
School or tutoring paths for those who can explain foundations clearly.
Bridge to postgraduate study when labs or archives have funding.
Translate the field for ministries, NGOs or newsrooms.
Products or services that package a practised skill for a paying niche.
Problem sets, portfolios, essays or auditions that mirror first-year reality — not only entrance exams.
Papers, codes, cases or scores beat summary channels for real vocabulary.
A clinic, newsroom, studio or site visit reveals hours and hierarchy better than brochures.
If you need a licence later, confirm the programme is recognised where you intend to practise.
A major is a training path. A job is a labour-market role. Keep both maps open and update them yearly.
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 🧮Proof, structure and abstraction — the language that other sciences borrow.
Employability 70 ⚛️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