Data science and machine learning.
And everything around it.
We teach from first principles, then guide the rest: universities, applications, research, direction. One mentor.
For secondary and sixth-form students already ahead of their syllabus, and under-challenged by it.
Free 30min consultation (no card, no commitment) with a two-session money-back guarantee.
One mentor for it all.
Normally that's four or five separate people: a tutor, a careers adviser, an admissions consultant, a mentor. None of them ever talk to each other. Vernoli is one person who does all of it, and stays for years.
Free 30-minute consultation, then a two-session money-back guarantee.
Depth, taught early.
Standard curricula are built for the middle of the class. They can't move fast enough for a student who's already ahead, and they skip the ideas that matter most at the technical frontier.
We build it the other way around: depth over coverage. Students work from first principles, build real systems, and develop the kind of understanding that compounds. Undergraduate-level work becomes reachable in months, not years.
The path a student moves along.
One mentor, one plan, from the first call to university and beyond. Each stage builds on the last.
Free consultation
A short call to see whether Vernoli is right for the student, and the student is right for Vernoli.
Diagnostic
Map strengths, gaps, interests, and where the student actually wants to go.
Personalised plan
A term-by-term roadmap written for one student. No fixed syllabus.
Weekly mentorship
One-to-one sessions, real projects, asynchronous support between sessions.
Applications and beyond
Universities, scholarships, early internships, and the work that compounds after.
Fields we cover.
The technical foundations behind modern data and AI work. None of it is taught seriously before university. All of it is taught here, from first principles.
A specific field or goal in mind?
If the work sits within the technical sciences (research-level mathematics, computational biology, quantitative work, anything adjacent), there is likely a mentor for it. Get in touch and describe what the student is trying to do.
Nothing here is a black box.
Draw a digit in the panel below and watch it cross the network one layer at a time. Tap any of the first eight maps to see a single filter make its pass.
This one was trained before it got here, on 60,000 handwritten digits. It has never seen yours.
Draw a digit on the right and the network will tell you what it thinks. The part worth watching is everything in between, so the panel plays it back one layer at a time instead of handing you the answer.
Twenty-four small pictures appear on the way to that answer. Those are filters reacting to what you drew, and you can tap any of the first eight to watch it crawl across your digit five pixels at a time with the arithmetic in the open.
This network was trained before it got here, on 60,000 handwritten digits, and it has never seen yours. Students who come through here build the training half as well. A language model written from scratch. An agent that teaches itself to walk.
Where the work goes.
The kinds of systems students end up building
The mentor.
Safoan Miah, founder.
Strong students get held back by what is available to them. They move at the pace of the classroom, the syllabus, or the nearest tutor, not at the pace of their ability. Over years, that leaves real capability on the table and quietly steers good students toward shallow versions of academic and career paths they could have led.
Vernoli exists to remove that constraint.
I work with a small number of students who are already capable and want to operate well beyond standard expectations. The focus is not on keeping pace. It is on choosing the right direction early and building the depth required to become genuinely exceptional in a technical field.
About future mentors.
While Vernoli is small, every student is mentored by me. That keeps depth, consistency, and standards under one roof. As the academy grows, additional mentors will be added carefully and individually.
Every mentor has to meet the bar:
- Strong academic grounding in their specialised field
- Real industry experience applying that knowledge in practice
- A track record of mentoring for long-term development, not short-term results
Growth will not come at the expense of quality.
If it's not right, you don't pay.
Start with two sessions. If your child isn't getting something real out of it, we refund your first payment in full, no hard sell, no forms. Just a short conversation so we understand what didn't fit.
The consultation is free, no card, no commitment.
Pricing.
Three plans with a monthly number, and one by conversation. The difference is scope, not attention. The free call settles which stage the student is at.
Billed monthly. Cancel anytime in your first month, then termly.
Tuition
Teaching only
- A structured curriculum, from Python to real ML
- Taught 1:1 by a working data scientist
- Termly written progress report
- Session recordings available to parents
- Reschedule credits when plans change
Honest fit
Covers one subject, grade focused. Not enough time to build an ML project or cover admissions. Choose this if grades are the only gap.
Recommended
Mentorship
Adds the whole admissions layer
Everything in Tuition, plus:
- Real projects built in the sessions, for their portfolio
- University selection and admissions roadmap
- Personal statement drafts
- Monthly 1:1 strategy call
- Async support between sessions
- Coursework (NEA/EPQ) guidance
A strategy session booked on its own is £195. Mentorship includes one every month.
Honest fit
Teaching plus direction, built around real projects. Portfolio work, not a supervised research project; that needs the second session. Tight for Year 13.
Scholar
Adds a supervised research project, admissions tests and interviews
Everything in Mentorship, plus:
- Supervised ML research project, scoped and original
- Written up and published: portfolio, competition or journal
- Admissions test preparation (MAT, TMUA, ESAT)
- Mock interviews
- Priority async support
If bought separately, the application services in here cost over £685 a term alone.
Honest fit
The minimum at which a supervised research project is realistic alongside teaching and admissions.
Immersion
Entry by interviewThe application year, fully handled
By conversation
3× 90-minute sessions every weekEverything in Scholar with nothing metered, plus:
- Unlimited statement drafts and mock interviews
- Weekly parent update
- Scheduling built around the student
The price is agreed after the free consultation, and the plan can keep growing where the year needs more. Subject to availability; 2 places at a time.
Not ready for a plan? Single sessions are available at £110. Ask on the call.
The course
Coming soonSelf-study + mentor check-ins. Coming soon from £49/mo. Leave an email and we'll tell you when it opens.
Two-session guarantee on your first month
Questions, answered.
The things families usually ask before the first consultation.
Who is Vernoli Academy for?
Ambitious secondary and sixth-form students (roughly ages 11 to 18) who are already ahead of their school syllabus and want real depth in data science, machine learning, and computer science.
Is this tutoring or something else?
It's long-term, one-to-one mentorship, not homework help or exam cramming. The same mentor teaches data science and machine learning in real depth and guides everything around it: the right universities and courses, applications, research, and coursework. One person, for years.
Does it cover universities and applications?
Yes, on the Mentorship and Scholar plans it's part of the same relationship at no extra charge. The mentor who teaches your child also helps choose universities and courses that fit, plans the application and personal statement, and supports the research and coursework that strengthen it. The Tuition plan is teaching only.
How does a student get started?
Every family begins with a free 30-minute consultation. From there: a diagnostic to map strengths and goals, a personalised term-by-term plan, weekly one-to-one sessions, and asynchronous support between them.
What does it cost?
Plans are monthly, by tier. Tuition (£390/month) is teaching only; Mentorship (£800/month) adds the admissions layer; Scholar (£1,595/month) adds a supervised research project. In your first month you can cancel anytime with a full refund; after that, plans run termly. Prepaying a term saves about 5%, a year about 10%. No hidden fees, and the first consultation is free. Billing is in British pounds (GBP); international cards are converted at your bank's rate.
Is it online or in person?
Fully online and one-to-one. Most families are in the United Kingdom, and international students are welcome — sessions are scheduled around the student's time zone.
What subjects are covered?
Data science, machine learning built from the maths up, applied Python, and algorithms and computer science, shaped to each student's level and direction.
Who teaches the sessions?
Mentorship is led by Safoan Miah, alongside practitioners and graduates who have worked professionally in data science and machine learning.
If this is the right place, book the call.
A small number of students are accepted each term. The first step is a free 30-minute consultation. We use it to see whether Vernoli is right for the student, and whether the student is right for Vernoli.
Free consultation first. Then a two-session money-back guarantee. If it's not right, you don't pay.