Advanced Diploma in Quantitative Economics
Course Overview
The Advanced Diploma in Quantitative Economics is a UK Level 5 senior-track qualification running 12 to 15 months across on-campus, online and distance routes. The programme carries credit transfer into UK Bachelor's top-up routes and is aligned with Royal Economic Society thematic guidance and Government Economic Service technical standards, and it develops analysts into econometrically rigorous senior-track operators.
By graduation you will have run OLS, IV, difference-in-differences and time-series analyses on real UK datasets, produced a Green Book compliant impact evaluation, and completed a capstone quantitative report on a live policy or market question.
Key Features
- Programme aligned with Royal Economic Society and Government Economic Service technical standards.
- Structured credit transfer into UK Bachelor's top-up routes.
- Modelling laboratory using R, Stata and Python notebooks.
- Case-based teaching from IFS, NIESR and Bank of England quantitative work.
- Weekly seminars in the case-room tradition with named tutor supervision.
- Guest sessions with practising Government Economic Service economists.
- Dedicated stream on machine learning for economists.
What You Will Learn
- Run OLS regression with valid identification strategies on real datasets.
- Apply IV, difference-in-differences and regression discontinuity to policy evaluation.
- Handle panel data and fixed-effects estimation.
- Model time-series data including ARIMA and VAR.
- Build impact evaluations compliant with the HM Treasury Magenta Book.
- Use R, Stata and Python at Government Economic Service junior standard.
- Apply machine learning techniques including regularised regression and trees to economics.
- Communicate econometric findings to non-technical audiences.
Who This Course Is For
- Junior economists and analysts building formal econometrics evidence.
- Working policy officers moving into quantitative evaluation roles.
- Graduates from Diploma routes progressing into Bachelor's top-up.
- International applicants building UK quantitative economics literacy.
- Career changers from data science entering economist tracks.
Career Pathways
- Econometrician inside a Whitehall department or research institute.
- Government Economist on the Government Economic Service progression track.
- Economic Consultant on impact evaluation and market study mandates.
- Research Economist at an IFS, NIESR or Bank of England programme.
- Financial Economist at a bank or asset manager.
- Regulatory Economist at a sector regulator.
- Behavioural Economist on quantitative choice architecture work.
- Labour Market Analyst at a Whitehall labour team.
The LSLPE careers service links Advanced Diploma cohorts to Government Economic Service recruiters, research institutes and City quantitative teams.
Entry Requirements
- A relevant Diploma (Level 4), Foundation Year, or at least two years of relevant professional experience in economics, statistics or quantitative research.
- GCSE English at grade 4/C and Mathematics at grade 4/C or equivalent.
- IELTS 6.0 overall (no band below 5.5) for non-native English speakers.
- One academic or professional reference.
- Applicants with modelling portfolios, code repositories or research outputs are encouraged to include them.
Why Study at LSLPE
The London School of Law, Politics and Economics is a specialist division of Harold International College of London teaching in small, tutor-visible cohorts. Whitehall, the IFS, NIESR and the Bank of England all sit within a short tube ride of every LSLPE seminar room.
Three parallel study modes let progressors, working Government Economic Service junior staff and international applicants complete the Advanced Diploma in Quantitative Economics without leaving employment, and the LSLPE careers service maintains standing links with quantitative recruiters.
Apply for Advanced Diploma in Quantitative Economics
Enrol on the UK Level 5 Advanced Diploma in Quantitative Economics at LSLPE. Credit transfer into Bachelor's top-ups is confirmed in writing at enrolment. Enrol Now.
