Postgraduate Course: Mathematics, Statistics and Econometrics (ECNM11002)
Course Outline
| School | School of Economics |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 0 |
ECTS Credits | 0 |
| Summary | A refresher course to establish a common basic standard and to facilitate the start to the core courses in macroeconomics and microeconomics and econometrics.. Mastery of the material is considered essential for success on the Economics Masters programmes. |
| Course description |
This course take place during induction week with the content continuing in the first two weeks of core teaching of semester one. The lectures are split into two sections: one on the foundations of Mathematical Economics and one on the foundations of Statistics and Econometrics. There are also a series of supporting tutorials and labs. The tutorials focus on solving homework questions and dealing with any issues which individual students might have, while the labs teach the use of the relevant statistical software (currently Stata is used). When the teaching is over, each section is examined by a separate two hour class examination (one exam for Mathematical Economics and one for Statistics and Econometrics).
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
Students MUST have passed:
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | Students should be enrolled on MSc Economics, MSc Economics (Econometrics), MSc Economics (Finance) or MSc Mathematical Economics and Econometrics. Any other students must email sgpe@ed.ac.uk in advance to request permission.
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| Additional Costs | No |
Information for Visiting Students
| Pre-requisites | Students should be enrolled on MSc Economics, MSc Economics (Econometrics), MSc Economics (Finance) or MSc Mathematical Economics and Econometrics.
Any other students must email sgpe@ed.ac.uk in advance to request permission.
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| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2026/27, Available to all students (SV1)
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Quota: None |
| Course Start |
Flexible |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
0
(
Lecture Hours -42,
Seminar/Tutorial Hours -18,
Formative Assessment Hours -5,
Other Study Hours 30,
Directed Learning and Independent Learning Hours
35 )
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| Additional Information (Learning and Teaching) |
Total Hours: 97 (Lecture Hours 42, Seminar/Tutorial Hours 18, Formative Assessment Hours 5, Directed
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| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
At the end of the course there are two class exams of equal weightings:
Maths: 50%, Econometrics/Statistics: 50%
These exams do not form part of the final assessment for the MSc Economics Programme.
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| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- 1. refresh knowledge in mathematical economics, to establish a common basic standard and to facilitate the start to the core courses in macroeconomics and microeconomics; and furnish students with the basic skills in probability, statistics and econometrics as well as the use of the Stata software which is the standard software used in the core and option Econometrics modules
- 2. personal effectiveness through task-management, time-management, teamwork and group interaction, dealing with uncertainty and adapting to new situations, personal and intellectual autonomy through independent learning.
- 3. practical/technical skills such as, modelling skills (abstraction, logic, succinctness), qualitative and quantitative analysis and interpretation of data, programming of statistical packages and general IT literacy.
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Reading List
Simon and Blume, Mathematics for Economists, Norton
Chiang, Fundamental Methods of Mathematical Economics, 3rd ed., McGraw-Hill
Hoy, Livernois, McKenna, Rees and Stengos, Mathematics for economics, 2nd ed., MIT Press
Adda and Cooper, Dynamic Economics: Quantitative Methods and Applications, MIT Press
Stock and Watson, Introduction to Econometrics, 3rd ed. Pearson
Schaum¿s guide to Linear Algebra
The scope of these books is much wider than the course itself and will be a useful tool throughout the MSc program. Additional reading will be recommended in lectures.
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Additional Information
| Course URL |
http://www.sgpe.ac.uk/ |
| Graduate Attributes and Skills |
Not entered |
| Additional Class Delivery Information |
Teaching starts in welcome week and ends in week two. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Yu-Fu Chen
Tel:
Email: y.f.chen@dundee.ac.uk |
Course secretary | Miss Laura Gasull Lopez
Tel:
Email: lgasull@ed.ac.uk |
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