Outline

Overview

The Capstone unit applies theories and techniques from the foundational and core Finance units to real-world problems. Students examine relevant and contemporary challenges in a practical and purposeful setting. The unit’s experiential learning activities are designed to integrate critical thinking and financial analysis, while advancing collaboration and communication skills.

Unit details and rules

Academic unit	Finance
Credit points	6
Prerequisites ?	Completion of 18 credit points of units towards the Finance specialisation (including FINC5001 and FINC6001)
Corequisites ?	Completion of 6 credit points towards the Finance specialisation
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Danilo Lopomo Beteto, danilo.lopomobeteto@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2025

Details
Criteria

Type	Description	Weight	Due	Length
Assignment	Video presentation Strategic and financial analysis of the business	15%	Week 06 Due date: 31 Mar 2025 at 23:59 Closing date: 14 Apr 2025	10-12 minutes
Outcomes assessed:
Presentation	Q&A I Individual Q&A based on the video presentation	20%	Week 07	3-4 minutes
Outcomes assessed:
Assignment	Reflective essay Reflection on group work	15%	Week 07 Due date: 07 Apr 2025 at 23:59 Closing date: 21 Apr 2025	750 words
Outcomes assessed:
Assignment	Pitch deck Final investment recommendation	30%	Week 12 Due date: 19 May 2025 at 23:59 Closing date: 01 Jun 2025	30-40 slides
Outcomes assessed:
Presentation	Q&A II Individual Q&A based on the pitch deck	20%	Week 13	3-4 minutes
Outcomes assessed:
= group assignment ? = AI allowed ?

Assessment summary

Video presentation: pre-recorded video providing a strategic and financial analysis of the business.
Reflective essay: written reflection using the 5Rs framework based on the group work leading to the video presentation.
Q&A I: individual Q&A based on students' contribution to the video presentation.
Pitch deck: set of slides containing the final investment thesis and recommendation.
Q&A II: individual Q&A based on students' contribution to the pitch deck.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Distinction	75 - 84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Credit	65 - 74	Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Pass	50 - 64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Use of generative artificial intelligence (AI) and automated writing tools

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator.

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions.

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit.

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply.

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

5% per day of late submission for the submitted assignments.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Welcome and introduction to the unit	Lecture (1 hr)
Week 01	Group formation	Workshop (2 hr)
Week 02	Macroeconomic & industry analysis	Lecture (1 hr)
Week 02	Economic indicators & industry factors	Workshop (2 hr)
Week 03	Strategic analysis	Lecture (1 hr)
Week 03	Drivers of business performance & competitiveness	Workshop (2 hr)
Week 04	Financial analysis	Lecture (1 hr)
Week 04	Financial ratios & peer group comparison	Workshop (2 hr)
Week 05	Preparation for video presentation	Lecture (1 hr)
Week 05	Delivering professional presentations	Workshop (2 hr)
Week 06	Reflection on group work	Lecture (1 hr)
Week 06	Peer evaluation & Q&A I preparation	Workshop (2 hr)
Week 07	Q&A I	Presentation (3 hr)
Week 08	Valuation I	Lecture (1 hr)
Week 08	DCF analysis	Workshop (2 hr)
Week 09	Valuation II	Lecture (1 hr)
Week 09	Valuation by multiples	Workshop (2 hr)
Week 10	Formulation of investment thesis	Lecture (1 hr)
Week 10	Putting it all together: final recommendation	Workshop (2 hr)
Week 11	Pitch deck preparation	Lecture (1 hr)
Week 11	Building a professional pitch deck	Workshop (2 hr)
Week 12	Career development	Lecture (1 hr)
Week 12	Q&A II preparation	Workshop (2 hr)
Week 13	Q&A II	Presentation (3 hr)

Attendance and class requirements

Please bring your laptop to the workshops since there will be many in-class group activities. Participation in workshops is critical towards a successful completion of the unit. Members of a group must all be enrolled in the same workshop. Failure to attend workshops and communicate with group members might delay access to tools critical for the completion of the unit (e.g., Refinitiv Workspace).

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. Organise and interpret financial information from diverse sources to devise innovative solutions.
LO2. Synthesise finance concepts and theories to address problems in a range of business contexts.
LO3. Integrate ethical and disciplinary perspectives with personal and professional values in financial decision making.
LO4. Collaborate with others leveraging diversity to generate and communicate new ideas to address financial issues related to the workplace.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Dear Students, Many thanks for your feedback in the Unit of Study Survey (USS), your responses are much appreciated and will allow us to make improvements to benefit the learning experience of future students. It seems that the vast majority of the cohort found valuable the practical nature of FINC6600 which we will endeavour to keep in next offerings. Moreover, many of you expressed gratitude to different members of the teaching team which points to the critical role played by the facilitators in the unit’s workshops - we will endeavour to continue offering FINC6600 with a team consisting of passionate and caring educators as those who worked in previous offerings. We look forward to working with you in S1, 2025. Kind regards, Danilo Lopomo Beteto - FINC6600 Coordinator

Additional information

Business School Policies

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI) and automated writing tools

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

FINC6600: Finance Capstone

Semester 1, 2025 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI) and automated writing tools

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links