Overview
We tutor undergraduate modules across quantitative, scientific, technical and theory-heavy subjects: mathematics, statistics, physics, chemistry, biology, engineering fundamentals, economics, finance, accounting, computer science, psychology, and humanities and social science theory. Sessions are built around your module outline, lecture slides, readings, problem sheets and past exams, so tutoring complements rather than duplicates your course.
At postgraduate level, the need is often different. Master's and doctoral students may need to learn a method quickly, such as regression, multilevel modeling, qualitative coding, R or Python, or understand a body of theory outside their first degree. Postgraduate tutoring focuses on building your competence so you can conduct and defend your own research. It isn't a substitute for your supervisor, and it doesn't produce analyses or chapters for you.
Integrity rules are stricter at university and differ between institutions. Tutors help with understanding and practice; they don't complete coursework, problem sets, take-home exams or online quizzes, and they won't participate in live assessments. If you're unsure what outside help your module allows, check its policy; we'll work within it.
Who it’s for and the problems it solves
This is for you if you are…
- First-year students adjusting to the pace and independence of university study
- Undergraduates retaking a failed module or preparing for resit exams
- Students in required quantitative modules outside their main interest (for example statistics for psychology or calculus for biology)
- International students adjusting to a new academic system and language of instruction
- Master's students who need to learn research methods or software quickly
- Doctoral students building competence in a method or theory for their thesis
Common problems we help with
- Lectures move too fast and you fall behind within weeks
- Problem sheets feel impossible even after the lectures
- Past exams look very different from the examples in lecture notes
- You failed a module and have a resit in a few weeks
- Your research requires a method you've never been taught
- Your supervisor expects you to know theory or software that your first degree didn't cover
What’s included — and what isn’t
Included
- Initial review of your module outline, learning outcomes, lecture materials and assessment format
- Diagnostic on core prerequisites for the module
- Lecture-to-understanding sessions: working through key derivations, proofs, models or theories
- Practice on unassessed problem sheets, tutorial questions and past exam papers
- Exam and resit preparation with timed practice and revision plans
- Postgraduate methods training: quantitative methods, qualitative methods and research software, taught with practice data
- Theory tutoring for postgraduates entering a new field: key debates, readings and conceptual frameworks
- Academic transition support: reading strategies, lecture note-taking and seminar preparation
- Support in English or French for students studying in a second language, depending on tutor availability
Not included
- Completing assessed coursework, problem sets, lab reports, essays or take-home exams
- Taking online quizzes, tests or classes on a student's behalf
- Writing thesis or dissertation chapters, or running analyses as 'tutoring'
- Replacing your supervisor's academic guidance on your research
What you receive
- Module map
- Module learning outcomes and topics mapped against your current understanding, with priorities for tutoring.
- Session notes
- Explanations, worked examples and summaries that link lecture content to exam-style questions.
- Practice and past-paper feedback
- Feedback on your attempts at unassessed problems and past papers, with worked solutions.
- Revision or resit plan
- A week-by-week plan to the exam date, focused on the highest-value topics.
- Methods learning pack (postgraduate)
- Annotated practice exercises, scripts or coding frameworks built during sessions, using practice data.
How it works
Share your module or research context
Send the module outline, lecture notes, assessment details and past papers, or for postgraduates, your research plan and the method you need to learn.
Diagnostic
We check prerequisites, because most university struggles trace back to earlier material.
Plan
We agree what to cover and how often to meet, based on the assessment dates.
Sessions
Active sessions in which you work through problems, derivations or analyses with guidance, then practice independently.
Exam or milestone preparation
Timed past-paper practice or, for postgraduates, practice explaining and justifying your method choices.
How university tutoring works
- Prerequisite repair
- Quickly rebuilding the earlier material a module assumes, like calculus for physics or algebra for econometrics.
- Active lecture review
- Reconstructing derivations and arguments from lecture notes with guidance, instead of rereading them.
- Past-paper analysis
- Identifying recurring question types and the reasoning they require.
- Practice-data methods training
- Learning analyses or coding on public or synthetic datasets before applying them to your own research.
- Explain-back
- You explain concepts or method choices aloud, as you'd need to in an exam, seminar or viva.
- Reading strategies
- Approaches for dense journal articles and textbooks: skimming structure, then targeted reading and note-making.
First year and resits
The first year of university is where many students first encounter real independence: fewer contact hours, less feedback and assessments weighted toward final exams. Tutoring early in a module prevents the snowball effect of falling behind. For resits, time is short, so we use past papers to identify the topics most likely to be examined and focus there, while making sure prerequisites are secure enough to support them.
Postgraduate methods and theory
Postgraduate students often need to learn a method fast. Tutoring teaches the logic and assumptions behind the method, how to run it in the relevant software and how to interpret and defend it, using practice data. You then apply it to your own data, with your supervisor's guidance. If you need analysis carried out as a disclosed service, or a statistical consultation about your design, our data analysis and research services pages cover that separately.
- Quantitative: regression, ANOVA, factor analysis, multilevel models, SEM foundations
- Qualitative: thematic analysis, coding practice, CAQDAS software basics
- Programming for research: R, Python, Stata or MATLAB fundamentals
- Theory: key frameworks and debates in a field new to you
Studying in a second language or a new system
International students may understand the subject but struggle with lecture speed, academic vocabulary or unfamiliar assessment styles, for example essay-based exams or oral examinations. Where possible, we match tutors who can explain in the student's stronger language while building subject vocabulary in the language of instruction.
What the work can look like
Illustrative example — fictional data
Sample resit plan: second-year econometrics
A fictional undergraduate failed an econometrics module and had a resit in six weeks. The plan is invented to illustrate structure.
Diagnostic finding
OLS mechanics were understood, but the student could not interpret coefficients with logs or dummy variables, and was unsure about heteroskedasticity tests. Matrix notation from lectures was a barrier.
Weeks 1–3
Interpretation drills (log-level, level-log, log-log, dummies and interactions); assumptions and the consequences of violating them; heteroskedasticity-robust standard errors. Matrix notation introduced gradually alongside familiar scalar versions.
Weeks 4–6
Three past papers under timed conditions, reviewed question by question, with a final session on the two question types that caused most lost marks.
Illustrative plan with an invented student. Actual plans follow your module and exam format.
What you’ll need to provide
- Module outline, learning outcomes and assessment details
- Lecture slides or notes, recommended readings and unassessed problem sheets
- Past exam papers and any feedback on previous work
- Your institution's policy on outside help, if you're unsure what's permitted
- For postgraduates: a summary of your research questions and the method you need to learn
You don’t need everything ready to ask for a quote — tell us what you have and we’ll say what’s missing.
What affects price and turnaround
Price depends on
- Level (undergraduate or postgraduate) and subject
- Specialized topics or software required
- Session frequency and length, and exam or resit proximity
- Amount of written feedback on practice work between sessions
Turnaround depends on
- Tutor availability for your specific module or method
- Time to review your module materials
- Exam, resit or research milestone dates
Every project is quoted individually. How we price our work.
Questions people ask before starting
Can you tutor my specific university module?
Usually, yes. Send the module outline and materials; we'll check that a tutor has the right background before confirming. Very specialized advanced modules may need a short discussion first.
Can you help me with a problem set that counts toward my grade?
We can teach the concepts using similar, unassessed problems and past papers. We won't work on assessed problem sets with you, since that usually breaches university policy and wouldn't prepare you for exams.
I'm a PhD student. Isn't tutoring for undergraduates?
Tutoring works at any level. Doctoral students often use it to learn a method or software efficiently, or to get up to speed in theory. For support with motivation and progress, see PhD coaching.
What if my lecturer teaches differently from the tutor?
Tutors follow your lecturer's notation and approach, since that's what you'll be assessed on. If there's an alternative explanation that helps, we'll show how it connects to the lecture version.
How is this different from data analysis services?
Tutoring builds your skills so you can do and explain the work yourself. Data analysis services deliver a documented analysis that you then interpret and acknowledge. We'll help you choose based on your timeline and your institution's rules.