D'Math University | Finance & Actuarial Mathematics

BSc Mathematics & Economics

A prestigious joint honours degree combining the analytical power of advanced mathematics with the conceptual depth of economic theory. With six specialist elective streams and strong links to the civil service, finance sector, and international organisations, this programme opens doors across the globe.

Undergraduate 3 Years Joint Honours Economics & Mathematics
32
Programme Modules
£44k
Average Starting Salary
50+
Industry Partners
6
Elective Streams

Two Disciplines, One Degree

The BSc Mathematics & Economics provides equal depth in both subjects. Students master formal mathematical methods — real analysis, linear algebra, optimisation, and econometrics — while engaging rigorously with economic theory from micro and macro foundations through to international trade and game theory.

  • Year 1: Mathematical methods for economists, introductory micro and macroeconomics, calculus, and linear algebra.
  • Year 2: Intermediate micro and macro, econometrics, mathematical analysis, game theory, and public finance.
  • Year 3: Advanced elective streams in finance, policy, international economics, labour, data analysis, or operations research.
  • Data Skills: Econometric analysis using R and Stata, economic data visualisation, and applied policy research methods.

Programme Highlights

Mathematics & Economics is one of the most strategically versatile degrees available — commanding strong interest from employers in finance, consulting, policy, and data analysis. This joint honours programme is designed to compete with the very best offerings from LSE, Oxford, and Cambridge.

  • Six Elective Streams: Specialise in Financial Economics, Public Policy, Labour & Welfare, International Trade, Economic Data Science, or Operations Research.
  • Civil Service Links: Strong links to HM Treasury, the Bank of England, Office for Budget Responsibility, and IMF for placement and graduate roles.
  • Research Methods: Dedicated research methods training for students considering doctoral study in economics or finance.
  • Study Abroad: Exchange programme with 15 partner universities in Europe, North America, and Asia-Pacific.
  • Economics Society: An active student economics society hosting debates, policy discussions, and careers events throughout the year.

Click any course to view its objective and learning outcomes.

MEC 101 Microeconomic Theory +

Objective

To establish the theory of consumer and firm behaviour using mathematical reasoning.

Learning Outcomes

  • Derive demand from utility maximisation.
  • Apply production theory and cost minimisation.
  • Analyse market structures from perfect competition to monopoly.
  • Apply game theory to oligopoly.
  • Discuss welfare and externalities formally.
MEC 102 Macroeconomic Theory +

Objective

To analyse aggregate behaviour using formal models of growth, money and policy.

Learning Outcomes

  • Apply IS-LM and aggregate demand-supply models.
  • Analyse Solow growth model and its extensions.
  • Discuss monetary policy via Taylor rules.
  • Model business cycles using DSGE methods.
  • Evaluate fiscal multipliers.
MEC 103 Mathematical Methods for Economics +

Objective

To master the calculus, linear algebra and optimisation needed for economic theory.

Learning Outcomes

  • Apply constrained optimisation with Lagrangians.
  • Compute comparative statics using implicit differentiation.
  • Use envelope theorem in microeconomic analysis.
  • Apply matrix algebra to input-output models.
  • Use difference and differential equations.
MEC 104 Calculus for Economics +

Objective

To consolidate calculus skills with economic applications.

Learning Outcomes

  • Compute partial derivatives and Hessians.
  • Apply optimisation to economic decision problems.
  • Use integration in welfare and consumer surplus.
  • Solve simple ODEs in growth models.
  • Apply Taylor expansions to comparative statics.
MEC 201 Linear Algebra & Matrices +

Objective

To apply matrix algebra to systems of economic equations.

Learning Outcomes

  • Solve large linear systems.
  • Apply input-output analysis.
  • Use eigenvalues in dynamic stability.
  • Compute SVD for principal components.
  • Implement matrix algorithms in software.
Interactive Activity — 2×2 Matrix Transformation
Set the entries of a 2×2 matrix. Watch how it transforms the unit square. Determinant = signed area of the transformed square.
a = 1.0 b = 0.5 c = -0.3 d = 1.0
MEC 202 Statistics for Economics +

Objective

To apply statistical reasoning to empirical economic questions.

Learning Outcomes

  • Estimate population parameters from samples.
  • Conduct hypothesis tests on economic data.
  • Apply sampling theory to surveys.
  • Construct confidence intervals.
  • Critique statistical claims in economic policy.
MEC 203 Econometrics +

Objective

To estimate and test economic relationships using regression analysis.

Learning Outcomes

  • Apply OLS estimation and discuss its assumptions.
  • Diagnose and correct heteroscedasticity and autocorrelation.
  • Use instrumental variables for endogeneity.
  • Apply panel-data methods.
  • Interpret econometric output for policy.
MEC 204 Game Theory +

Objective

To analyse strategic interaction in economic settings.

Learning Outcomes

  • Compute Nash equilibria in static games.
  • Apply backward induction in dynamic games.
  • Analyse repeated games and reputation.
  • Apply mechanism design to auctions.
  • Discuss incomplete information using Bayesian games.
Interactive Activity — Distribution Plotter
Pick a distribution and adjust its parameters. Read off mean and variance directly from the plot.
Distribution: p1 = 0.0 p2 = 1.0
MEC 301 Mathematical Finance +

Objective

To value financial assets using economic and mathematical reasoning.

Learning Outcomes

  • Apply present-value methods to bonds and stocks.
  • Use Black-Scholes for option pricing.
  • Construct portfolios using mean-variance.
  • Apply CAPM and arbitrage pricing theory.
  • Discuss market efficiency and behavioural finance.
MEC 302 Optimisation +

Objective

To find optimal economic decisions under constraints.

Learning Outcomes

  • Apply linear and non-linear programming.
  • Use dynamic programming for staged decisions.
  • Apply optimal control theory.
  • Solve principal-agent contracts.
  • Implement optimisation algorithms numerically.
Interactive Activity — 2×2 Matrix Transformation
Set the entries of a 2×2 matrix. Watch how it transforms the unit square. Determinant = signed area of the transformed square.
a = 1.0 b = 0.5 c = -0.3 d = 1.0
Interactive Activity — Vector Field & Gradient Visualizer
Pick a scalar field f(x,y). Gradient arrows point in the direction of steepest ascent. Click anywhere to drop a particle that follows the gradient.
f(x,y) =
Click on the plot to drop a particle.
MEC 303 Time Series Analysis +

Objective

To analyse and forecast economic time series.

Learning Outcomes

  • Identify stationarity and unit roots.
  • Fit ARIMA and GARCH models.
  • Apply VAR models to multivariate series.
  • Test for cointegration.
  • Forecast key macroeconomic variables.
Interactive Activity — Sequence Convergence
Pick a sequence and an ε. The graph shows when a_n enters the ε-band around limit L. The smallest such N is the "epsilon-N" for convergence.
a_n = ε = 0.10
Interactive Activity — Epsilon-Delta for Continuity
For f(x) = x², set the point a and tolerance ε. The activity finds the largest δ such that |x − a| < δ ⟹ |f(x) − f(a)| < ε.
a = 1.0 ε = 0.50
MEC 304 Quantitative Economics Project +

Objective

To pursue an empirical or theoretical economics project under supervision.

Learning Outcomes

  • Identify a research question with policy relevance.
  • Source and clean economic data.
  • Apply rigorous econometric techniques.
  • Write a research-style economics paper.
  • Present findings to economists and stakeholders.
📊

Microeconomics

Consumer theory, producer theory, general equilibrium, welfare economics, market structures, and mechanism design foundations.

📈

Macroeconomics

IS-LM, AS-AD models, New Keynesian DSGE frameworks, monetary policy, fiscal policy, and open economy macroeconomics.

🔢

Econometrics

OLS, IV estimation, panel data methods, time series analysis, and applied econometric research using R and Stata with real datasets.

🧮

Mathematical Analysis

Sequences, limits, continuity, differentiation, integration, metric spaces, and formal proof techniques essential for economic theory.

💰

Game Theory

Strategic form games, Nash equilibrium, subgame perfection, Bayesian games, mechanism design, and auction theory.

📛

Operations Research

Linear programming, integer optimisation, network flows, queuing theory, and decision analysis for economic applications.

🏦

Public Finance

Tax theory and incidence, public goods and externalities, social welfare functions, cost-benefit analysis, and fiscal federalism.

💻

Economic Data Analysis

Applied data analysis in R and Stata — regression, causal inference, difference-in-differences, regression discontinuity, and IV methods.

📊

Economist

Work at central banks, international organisations (IMF, World Bank, OECD), government departments, or economic consultancies worldwide.

📈

Economic Analyst

Produce market analysis, forecasting, and economic research for investment banks, rating agencies, and economic think-tanks.

🌞

Policy Analyst

Shape government policy in areas such as taxation, welfare, competition, trade, and environmental economics within public sector bodies.

🔢

Data Analyst

Apply quantitative and econometric skills to business analytics, A/B testing, causal inference, and decision modelling in the private sector.

💰

Finance Professional

Enter roles in investment banking, asset management, corporate finance, and treasury management, leveraging strong quantitative foundations.

💼

Civil Service Fast-Streamer

Join the UK Government Economic Service or Civil Service Fast Stream, working at HM Treasury, Cabinet Office, or BEIS from graduation.

LSE University of Oxford University of Cambridge UCL University of Warwick Harvard University Princeton University Columbia University University of Toronto University of Melbourne

Why D'Math University — Our 4-Step Approach

01

Balanced Joint Honours

We insist on genuine depth in both mathematics and economics — students complete full mathematics modules, not watered-down "maths for economists" versions.

02

Elective Stream Flexibility

From Year 2, students choose their elective stream — ensuring the degree aligns with individual career goals without sacrificing core rigour in either discipline.

03

Applied Research Training

Econometric research methods and data analysis are embedded throughout — graduates can conduct independent quantitative research from Day 1 of employment.

04

Sector-Spanning Careers

Our careers team has relationships spanning finance, policy, consulting, and the civil service, ensuring every student finds their ideal career destination.

Enrol in BSc Mathematics & Economics →

Speak to an adviser — admissions@dmathu.ac | Elective stream guidance available