Last modified: 28 Jun 2018 10:27
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.
Study Type | Postgraduate | Level | 5 |
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Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | None. | Sustained Study | No |
Co-ordinators |
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Information on contact teaching time is available from the course guide.
1x 2hr written examination (80%), and 1x assignment (20%). Resit: 100% on 2hr written examination capped at CAS 9.
There are no assessments for this course.
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