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BU5025: QUANTITATIVE METHODS (2014-2015)

Last modified: 28 Jun 2018 10:27


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
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Professor Keith Bender

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

None.

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.

Further Information & Notes

The first half of this course will be common and taught in conjunction with BU5006, Introductory Econometrics for Finance. The two course will split in mid-semester with the latter half being taught separately.

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 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

1x 2hr written examination (80%), and 1x assignment (20%). Resit: 100% on 2hr written examination capped at CAS 9.

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.

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