Course author
Andreea Safi
Andreea is the author of Matrix Algebra 105 and other courses in MCC's quantitative methods series.
Matrix Algebra 105 · On-demand course
A recorded course from MCC Economics on the matrices you meet most often and the tools for working with them. It covers the main types of special matrices, how to calculate determinants and find inverses, and how determinants relate to solving linear equations.
Matrix Algebra 105 is part of MCC Economics' quantitative methods series, which covers the mathematics behind economic and financial modelling.
Course author
Andreea is the author of Matrix Algebra 105 and other courses in MCC's quantitative methods series.
Matrix Algebra 105 is an on-demand course on special matrices and determinants. It introduces six types of special matrix, from the identity matrix to orthogonal matrices, then shows how to calculate determinants, how to find a matrix inverse and how determinants relate to solving linear equations. You get the video lecture, slides, a quiz and a transcript as soon as you buy.
You will be able to recognise the common types of matrix and use determinants and inverses with confidence. The course is built around three outcomes.
The lecture follows the published agenda, and a quiz at the end tests your understanding.
These are terms you will meet in the course, in plain English.
| Term | Meaning |
|---|---|
| Identity matrix | A square matrix with ones on the main diagonal and zeros everywhere else. Multiplying by it leaves a matrix unchanged. |
| Zero matrix | A matrix in which every entry is zero. |
| Diagonal matrix | A square matrix whose entries off the main diagonal are all zero. |
| Symmetric matrix | A square matrix equal to its transpose, so the entry in row i, column j matches the entry in row j, column i. |
| Skew-symmetric matrix | A square matrix equal to minus its transpose. Its diagonal entries are always zero. |
| Orthogonal matrix | A square matrix whose transpose is also its inverse. |
| Transpose | The matrix you get by swapping rows and columns. |
| Determinant | A single number calculated from a square matrix. If it is zero, the matrix has no inverse. |
| Inverse matrix | The matrix that, multiplied by the original, gives the identity matrix. |
It suits anyone who uses quantitative methods and wants a firmer grasp of the mathematics underneath.
Matrix Algebra 105 is the second course in MCC's on-demand matrix algebra series. Matrix Algebra 110 then puts determinants and inverses to work on linear systems, and Econometrics 101 applies matrix methods to regression.
Browse every title on the MCC Economics courses page.
MCC Economics is an independent consultancy, founded in London in 2017, that provides economic and financial analysis to governments, regulators and businesses. Its research and data analysis and financial modelling work relies on the quantitative methods taught in this series. Meet the team on the people page.
I was delighted that MCC's work was completed on time, and within budget, helping us deliver important changes and improvements, to the benefit of our stakeholders.
See the instructor profiles near the top of this page for the current teaching team.
No. Matrix Algebra 105 is available on demand only and no meeting is held. You work through the recorded material at your own pace.
The video lecture, the slides, a quiz and a full transcript.
Straight away. Access to all course materials is given as soon as the order is placed.
Matrices with a particular structure that makes them easier to work with or gives them useful properties. Examples are the identity, zero, diagonal, symmetric, skew-symmetric and orthogonal matrices.
A determinant is a single number calculated from a square matrix. If it is zero, the matrix has no inverse, so a system of linear equations built on it has no unique solution.
The MCC Economics courses page lists Matrix Algebra 105 from £32.68. The final price is shown at checkout on Eventbrite.
Contact MCC Economics through the consultation page to discuss places for a team or training tailored to your organisation.
Page last reviewed October 2026.