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DRPS : Course Catalogue : School of Economics : Economics

Postgraduate Course: Mathematics, Statistics and Econometrics (ECNM11002)

Course Outline
SchoolSchool of Economics CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits0 ECTS Credits0
SummaryA compulsory refresher course to establish a common basic standard and to facilitate the start to the core courses in macroeconomics and microeconomics and econometrics for Economics Masters courses
Course description These courses take place during the first three weeks (including Fresher's week) of the semester one and consist a course each on the foundations of mathematical economics course and 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 course is examined by two, two hour class examinations and there is also an in-lab computer-based exam on the relevant software.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements Students should be registered for MSc Economics, MSc Economics (Econometrics) or MSc Economics (Finance). All other students must email in advance to request permission.
Additional Costs No
Information for Visiting Students
Pre-requisitesStudents should be registered for MSc Economics, MSc Economics (Econometrics) or MSc Economics (Finance). All other students must email in advance to request permission.
High Demand Course? Yes
Course Delivery Information
Academic year 2020/21, Available to all students (SV1) 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 )
Additional Information (Learning and Teaching) Total Hours: 97 (Lecture Hours 42, Seminar/Tutorial Hours 18, Formative Assessment Hours 5, Directed
Assessment (Further Info) Written Exam 80 %, Coursework 0 %, Practical Exam 20 %
Additional Information (Assessment) At the end of the course there are three class exams with weightings Maths: 40%, Econometrics/Statistics: 40%,
Stata: 20%. These do not form part of the final assessment for the MSc Economics Programme.
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. 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. 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. 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.
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.
Additional Information
Course URL
Graduate Attributes and Skills Not entered
Additional Class Delivery Information Teaching starts in welcome week and ends in week two.
KeywordsNot entered
Course organiserDr Yu-Fu Chen
Course secretaryMiss Sophie Bryan
Tel: (0131 6)50 9905
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