MA Economics

Fees for entry in 2027 have not yet been set. For reference, the fees for the academic year beginning September 2026 were as follows:

• MA (full-time)
  UK students (per annum): £15,800
  International, including EU, students (per annum): £33,600

The fees quoted above are fully inclusive of tuition, administration and computational costs.

Fees for entry are subject to yearly review. The University reserves the right to increase your tuition fee by up to 7% each year for courses lasting more than one year, including to reflect rising costs associated with delivering our educational and wider student experience. Postgraduate fees information .

Always contact the admissions team if you are unsure which fee applies to your qualification award and method of attendance.

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

We know that student finance can be complicated. The links below provide further information to help guide you.

• Learn more about - student finance options for UK students .
• Learn more about - fees and finance for international students .
• Graduates of The University of Manchester and Manchester Metropolitan University can receive a 10% discount on their master's degree tuition fees as part of our Manchester Alumni Loyalty Discount scheme.

The principal aim of this course is to refresh foundations of both Statistics and Math that will be used later on in the year from other modules

The principal aim of this course is to refresh foundations of both Statistics and Math that will be used later on in the year from other modules

Provisional

For the Math Week, lectures will be structured as follows:

Lecture 1: Set, Numbers and Function

Lecture 2: Univariate Calculus and Optimization

• Derivative and Differentials
• Unconstrained Optimization;
• Constrained Maximization.

Lecture 3: Linear Algebra

• Matrix Algebra
• Quadratic Forms.

Lectures 4: Multivariate Calculus and Optimization

• Partial Derivatives
• Functions with Economics Applications
• Unconstrained Maximization
• Constrained Maximization

Lectures 5: Integration

• Indefinite Integrals
• Definite Integrals
• Eigenvalues and Eigenvectors

Statistics:

Lecture 1: Probability & Moments

Lecture 2: Joint Distribution Theory

Lecture 3: Random Sampling & Estimation

Lecture 4: Confidence Intervals & Testing

Lecture 5: OLS and Intro to ECON60901 (Compulsory only for MSc Students)

Video lectures and tutorials; further classes face to face.  

Online exam.

As part of your pre-session Maths and Stats course you will be asked to take a diagnostic test in both Maths and Stats. These will be online tests held at the end of the Introduction to Quantitative methods course. A test on Maths (calculus and linear algebra) which will contribute 10% to the final mark of ECON60811 Mathematics for Economists (MA)/ ECON60081 Mathematical Methods in Economics Analysis (MSc) and a test on Statistics worth 10% of the final mark of Econometrics course you take (either ECON60611 Introduction to Econometrics for MA students or ECON61001 Econometric Methods for MSc).

Here is an outline of what we expect students to know, as a minimum, before they start the pre-session course and the areas that the course covers. This list will help you to plan any necessary revision.

You will find it useful to refer to Carl  P. Simon- Lawrence  Blume,, Mathematics for Economics (1994)

For a concise summary of the required knowledge of statistics see also our dedicated Econometric Computing Learning Resource (ECLR).

Lecturers: Alessia Isopi and Yidi Sun.

https://www.socialsciences.manchester.ac.uk/study/masters/intro-to-qm/