Uses finance cases to develop the tools and analytical skills necessary to make financial decisions.
| Paper title | Financial Management |
|---|---|
| Paper code | FINC303 |
| Subject | Finance |
| EFTS | 0.15 |
| Points | 18 points |
| Teaching period | Semester 2 (On campus) |
| Domestic Tuition Fees (NZD) | $912.00 |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Prerequisite
- FINC 202 and (ACFI 201 or ACCT 233 or FINC 206)
- Schedule C
- Commerce
- Contact
- Teaching staff
- Paper Structure
The paper is based on case analysis and is intended to increase your understanding of finance principles studied in FINC 206 and FINC 202. For the most part, cases are based on a situation that an actual firm has faced in the past, and your task is to analyse the situation and recommend a value-creating course of action that could be taken by the managers of the firm under consideration. Assigned tasks consist of both group and individual work and provide the opportunity to improve your written and oral communications skills.
- Teaching Arrangements
This paper is taught by lectures.
- Textbooks
Textbooks are not required for this paper
- Course outline
- View the course outline for FINC 303
- Graduate Attributes Emphasised
- Communication, Critical thinking, Research, Self-motivation, Teamwork.
View more information about Otago's graduate attributes. - Learning Outcomes
- Upon successful completion of this paper, you should be able to:
- Apply financial knowledge in a business context
- Have the ability to critically evaluate arguments and draw conclusions supported by appropriate evidence
- Demonstrate an understanding of how organisations create value through the integrated production and distribution of goods, services and information
- Have effective written communication skills
- Deliver an effective oral presentation on an actual business case
- Demonstrate an ability to find, evaluate and use information effectively
- Comprehend and use appropriate quantitative concepts and methods to interpret and critically evaluate data
