1st Class, Ba Economics and Philosophy, University College London (UCL)
ECONOMICS
(MATHS INTENSIVE)
CASE STUDY: LSE APPLICANT
This is an outline of a bespoke 1:1 tuition programme that was developed for a student who successfully got into his first UCAS choice (Economics at LSE).
A different student might want a different programme, but this is informative of the possible topics that they might want to cover.
University
Applications Planning (2 hours)
The student reviewed all the universities to which he was applying.
The student liked both Economics and Mathematics, and he was interested in understanding how mathematical tools can enable better decision-making. He wanted an intensive course.
After discussing the student's interests, the tutor built a custom plan with the student, focusing on teaching fundamental mathematical models.
The goal was to enrich the academic record on his personal statement.
Fundamentals in Econometrics (5 hours)
These sessions taught mathematically rigorous tools to formulate econometric models. Specifically, multivariable calculus, constrained optimisation, and multiple linear regression.
At the end of the sessions, the student knew how to differentiate functions with multiple variables, how to derive the estimators for single and multiple linear regression, and understood key concepts like omitted variable bias and consistency.
Microeconomic
optimisation (3 hours)
The student learned about constrained maximisation of utility and how the demand curve is derived.
He learned about cost-minimisation and how the supply is derived.
By the end of the sessions, the student was capable of deriving these curves graphically, as well as algebraically.
Inflation
forecasting (2 hours)
The student learned about a closed-economy version of the macroeconomic 3-equations model, which underpins the mechanisms of monetary policy. This is the model utilised by central bankers at the Fed, ECB, and Bank of England.
By the end of the session, he could understand how the central bank responds to a variety of shocks, and how to model inflationary and deflationary spirals within a rigorous framework.
Behavioural
Economics (1.5 hours)
The student learned about how behavioural economics changed the way in which we understand the traditional microeconomic framework.
Specifically, he learned about risk-seeking behaviour, loss-aversion, and prospect theory.
He then learned how this is applied to modelling risk in the insurance market.
Personal Statement Integration (1.5 hours)
The tutor helped the student restructure his personal statement. The pupil received training in the S.T.A.R. format (Situation, Task, Action, Result), and with that insight he wrote additional paragraphs about the undergraduate-level material he had learned with the tutor.
Ultimately, he received and met a conditional offer from his first choice, the London School of Economics.
All of our programmes are entirely bespoke: what you saw above was just an example.
Our tutors will speak to you to understand your precise needs, and build a programme that feels right and is exciting.
Please enquire to find out more.
Scheduling
the hours you need
Built around
your degree choice
Studying topics
you love
HAVE YOUR OWN PROGRAMME CREATED FOR YOU