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  6. BU5025: Quantitative Methods

BU5025: QUANTITATIVE METHODS (2017-2018)

Last modified: 27 Feb 2018 11:37


Course Overview

This course develops a mathematical and statistical ‘toolbox’ for PGT students in the Business School.  These tools will useful in understanding and implementing research in business- and economics-related fields both during a student’s academic career as well as after graduation.  The first part of the course covers basic mathematical models common across these fields.  The second part of the course develops standard data analysis methods, including multivariate regression.  The final part of the course examines shortcomings in the standard model and describes ways of overcoming those shortcomings.

Course Details

Study Type Postgraduate Level 5
Session First Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Dr Yu Aoki

Qualification Prerequisites

None.

What courses & programmes must have been taken before this course?

  • One of MRes Finance (Studied) or MSc (Econ) in Petroleum, Energy Economics and Finance (Studied) or MSc (Econ) in Finance and Investment Management (Studied) or MSc (Econ) in Finance and Investment Management (Includes Cfa Exam) (Studied) or MSc Finance and Real Estate (Includes Cfa Exam) (Studied) or MSc Finance and Real Estate (Studied) or MSc in Accounting and Finance (Studied) or MSc (Econ) in Accounting and Finance (Studied) or MSc Economics of Health (Studied)
  • Any Postgraduate Programme (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

This course aims to provide an introduction to econometric and mathematical methods used in economics and finance.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

2-hour examination (70%)

Computer Assignment (10%)

In class test (20%)

 

Resit: 100% on 2hr written examination.

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.
 

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