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FIN4022S

Academic Year 2024/2025

Finance & Analytics (FIN4022S)

Subject:
Finance
College:
Business
School:
Business
Level:
4 (Masters)
Credits:
10
Module Coordinator:
Dr Orna O'Brien
Trimester:
Autumn and Summer (separate)
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

"The aim of this module is to examine why and how Finance professionals, in corporate settings, use data and quantitative methods. A comprehensive range of quantitative techniques are reviewed, however the principal focus is on applications in Finance. The basic techniques of data analysis used by Finance professionals will be introduced. This will include a discussion of the main databases, a review of the key features of market and corporate data, as well as the techniques available for analysing this data. The module includes an introduction to empirical relationships in Finance using econometric analysis. Key applications will be examined including discounting cash flows, the time value of money and predictions of key business metrics. A particular focus will be on the evaluation of the performance of the techniques deployed in real world data.

About this Module

Learning Outcomes:

Learning Objectives
1. Demonstrate knowledge and understanding of the key elements of financial analytics.
2. Apply quantitative techniques to practical real-world problems in finance and business, including problems requiring prediction.
3. Implement a range of analytical metrics in an efficient manner using spreadsheets and statistical software.
4. Evaluate from a management perspective the performance of analytics.

Student Effort Hours:
Student Effort Type Hours
Lectures

20
Specified Learning Activities

80
Autonomous Student Learning

150
Total

250

Approaches to Teaching and Learning:
Lectures, case studies, group discussion, etc

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy  
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): Assignment Week 7 Standard conversion grade scale 40% No

40

 No
Exam (In-person): Examination Week 15 Standard conversion grade scale 40% No

60

 No

Carry forward of passed components
No
 

Remediation Type Remediation Timing
Repeat Within Two Trimesters
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Christina Burke Tutor
Ms Michele Connolly Doran Tutor
Richa Gupta Tutor
Shirley Ho Tutor
June Neo Tutor
Assoc Professor Alessia Paccagnini Tutor
Chee Shong Tan Tutor
Charlene Tan Puay Koon Tutor
Dr Tiffany Thng Tutor
Tiffany Thng Tutor
Siti Zarifah Tutor
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