Most students start with a university name. We start with the course and career outcome, then work backwards to universities that fit your grades and budget.
These six categories cover roughly 70% of the applications we file each year.
MS/MSc programs in data science, AI, and software engineering.
MBA and specialised masters in finance, marketing, and analytics.
Mechanical, civil, and electrical masters with strong industry placement.
Public health, nursing, and allied health postgraduate routes.
LLM programs for students aiming at international or corporate law.
PG diplomas with strong Canada and Australia placement rates.
Grades, backlogs (if any), and relevant work experience.
What you can fund directly, plus loan or scholarship eligibility.
The role and country you actually want to be working in, three years out.
MSc Data Science · UK · admit likelihood: strong fit
MS Computer Science · US · admit likelihood: strong fit
MSc Computer Science · Canada · admit likelihood: reach
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