Data science and
machine learning.For students ahead of the syllabus.
One-to-one mentoring for UK secondary and sixth-form students, taught by people from industry and research. Project-based work for students aiming at top universities and technical careers.
Free 30-minute consultation. No commitment, no payment details.
Depth, taught early.
Standard curricula are built for the middle of the distribution. They cannot move fast enough for students who are already ahead, and they do not seriously teach the things that actually matter at the technical frontier.
Vernoli is built around one principle: depth over syllabus. Students work through ideas from first principles, build real systems, and develop the kind of understanding that compounds. Months, not years, separate them from undergraduate-level work.
This is not a simple tutoring service. It is a long mentorship in a hard field, with someone who has lived in it.
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
Top universities, scholarships, early internships, and the work that compounds after.
Why Vernoli
Early advantage
Academic and career trajectories are decided years earlier than most people realise. Depth of understanding, early exposure to advanced ideas, and the habit of thinking independently compound over a decade. Most high-potential students are under-challenged by their school and left without a clear route forward. By the time they reach university, the work is already shaped. Vernoli exists to compress that runway, deliberately.
Depth over syllabus
School syllabi optimise for assessment coverage, not understanding. Students move through topics without ever grasping the ideas that actually matter at higher academic and professional levels. Here, learning is built from first principles. Ideas are taken apart and rebuilt. Students move fast where they are strong, slow where the foundations matter, and reach advanced material when they are ready for it.
Mentorship, not tutoring
This is not homework help or short-term exam coaching. Sessions work as long-term mentorship: connecting fields, explaining academic and career pathways, and showing how early technical skills translate into real opportunities. As a student grows, the work shifts with them. The aim is independence, judgement, and long-term clarity, not dependency on weekly lessons.
Competitive futures
Top universities, scholarships, and early internships do not just look at grades. They look for evidence of depth, direction, and genuine engagement with a field. Students build projects, work with the tools real practitioners use, and learn to articulate their thinking in writing. By the time applications open, the work already exists. It is not assembled at the last minute.
What we teach.
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.
Students build real things.
Studying machine learning without building it is like studying chemistry without a lab. The demos to the right are a small glimpse: real neural networks running in your browser, the same kind of system students take apart, rebuild, and extend in mentorship.
Projects start small and become more ambitious. A student might train an image classifier in their first term, build a language model from scratch in their second, and ship something publishable by their third. The aim is genuine fluency: the ability to design a system, explain it, and improve it.
What runs here is intentionally minimal. The actual work is shaped to each student, their level, and where they want to go.
The mentor.
Safoan Miah, founder.
Data Science graduate · Former Data Science Engineer, DraftKings
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.
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.
Pricing.
Build the plan that fits the student. Sessions and duration are configurable. No tiers, no upsells.
Currently enrolled students keep their existing rate (£70/hour).New plans currently include a 12.5% discount.
Build the plan
Sessions per week
- One-to-one academic and career mentorship
- Curriculum built around the individual student
- Long-term, term-by-term progression
- Guidance on academic direction, applications, and early careers
- Direct messaging with the mentor between sessions
- Help with homework and general questions on the subject, anytime
- 1 day advance cancellation or rescheduling, no penalty
Weekly price
Total per week
No hidden fees. Cancel anytime.
Our promise.
Three quiet commitments to families considering Vernoli. No tricks, no fine print.
Start with a free consultation
Every new family starts with a free consultation. We'll talk through your child's interests, current level, and goals, and you'll get a clear sense of how Vernoli works before any commitment.
Two-session guarantee
If after your first two paid sessions you don't feel Vernoli is the right fit for your child, we'll refund your first month in full. No hard sell, no long forms. Just a quick conversation so we can understand what didn't work.
Mentors with real-world experience
Every Vernoli mentor has worked professionally in data science or machine learning. Both graduates of the field ands practitioners who've built what they teach.
Questions, answered.
The things families usually ask before the first consultation.
Who is Vernoli Academy for?+
Ambitious UK secondary and sixth-form students (roughly ages 10 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 is long-term, one-to-one mentorship, not homework help or short-term exam cramming. Sessions connect fields, build real projects, and develop independent judgement over terms and years.
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?+
Pricing is per session and depends on session length and how many sessions you book each week, with a discount for more frequent sessions. You can see a live estimate in the pricing section, and the first consultation is free.
Is it online or in person?+
Fully online and one-to-one, available to students across the United Kingdom.
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, apply.
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.