ECON42620 Maths & Stats

Academic Year 2023/2024

This is an intensive two-week module that covers the mathematical and statistical methods that are required for the MSc programmes in Economics. Half of the course focuses on linear algebra and optimisation methods and the other half focuses on statistics.

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Curricular information is subject to change

Learning Outcomes:

On completion of the course, students will have a sound understanding of the mathematical and statistical concepts required for studying economics in the MSc programme.

Student Effort Hours: 
Student Effort Type Hours
Autonomous Student Learning






Approaches to Teaching and Learning:
Online lectures and regular problem sets.
Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles
Not applicable to this module.
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment: Take-home assignment. Varies over the Trimester n/a Pass/Fail Grade Scale Yes


Assignment: Take home assignment Varies over the Trimester n/a Pass/Fail Grade Scale Yes


Examination: Two-hour in person exam at the end of the coursework. Unspecified No Pass/Fail Grade Scale Yes



Carry forward of passed components
Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Self-assessment activities

How will my Feedback be Delivered?

Students will be given solutions to the assignments and final examination and receive individual feedback from the lecturer upon request. Students will have regular self-assessment sheets with solutions.

Chiang and Wainwright - Fundamental methods of mathematical economics.
Verbeek - A guide to modern econometrics
Wooldridge - Introductory econometrics
Name Role
Ms Deirdre Coy Lecturer / Co-Lecturer
Mr Tadgh Hegarty Lecturer / Co-Lecturer
Mr Matthew Shannon Lecturer / Co-Lecturer