Âé¶¹Ó³»­

Department of Mathematics

Corporate Finance with AI Applications (831L1)

Corporate Finance with AI Applications

Module 831L1

Module details for 2026/27.

15 credits

FHEQ Level 7 (Masters)

Module learning outcomes

Demonstrate a critical understanding of environmental, social, and governance (ESG) factors and explain their implications for corporate performance and long-term value creation.

Apply appropriate valuation models to estimate the value of financial securities and assess how security valuation influences corporate financing and investment decisions.

Analyse corporate restructuring activities and apply financial theories to explain corporate dividend policies and capital structure decisions across different market contexts.

Apply emerging artificial intelligence (AI) tools to support financial analysis, problem-solving, and decision-making in corporate finance contexts.

TypeTimingWeighting
Coursework25.00%
Coursework components. Weighted as shown below.
EssayT1 Week 8 (1 hour)100.00%
Unseen ExaminationSemester 1 Assessment75.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

TermMethodDurationWeek pattern
Autumn SemesterLecture2 hours11111011111
Autumn SemesterSeminar1 hour11111011111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.