Outline

Overview

This is an advanced unit suitable for experienced tax practitioners who wish to extend their Australian tax law knowledge. The unit covers the tax policy and detailed rules for companies and shareholders designed to ensure that corporate profits are not subject to double taxation in Australia. Topics to be covered include: the policy and problems of taxing companies and shareholders; taxation of company distributions and dealings with interests in companies; imputation; debt equity classification; special anti-avoidance rules dealing with taxation of companies and shareholders; bonus issues, rights issues, share buybacks and liquidations. Refer to the Sydney Law School timetable - https://canvas.sydney.edu.au/courses/4533/pages/postgraduate-lecture-timetable

Unit details and rules

Academic unit	Law
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	Students undertaking this unit are assumed to have an understanding of Australian income taxation law commensurate with that obtained from completing undergraduate study in Australian taxation law or five years working with Australian tax law in a law or accounting practice, in an industry role, or in the Australian Taxation Office. Students without such knowledge or work experience should undertake LAWS6825 Fundamentals of Australian Taxation before enrolling in this unit. Students who have not studied Australian law should undertake LAWS6252 Legal Reasoning and the Common Law System before enrolling in LAWS6825 and this unit. The completion of LAWS6840 Taxation of Business and Investment Income A and LAWS6841 Taxation of Business and Investment Income B will also provide students with additional knowledge and skills that will assist in successfully completing this unit.
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Celeste Black, celeste.black@sydney.edu.au

Assessment

The census date for this unit availability is 7 April 2026

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Written exam	Final exam (60%) On-campus, supervised final exam	60%	Formal exam period	2 hours	AI prohibited
Outcomes assessed:
Contribution	Structured class participation (10%) Participating in class on a specific problem allocated to each student	10%	Multiple weeks	Ongoing	AI allowed
Outcomes assessed:
Out-of-class quiz	Early feedback task (0%) Quiz	0%	Week 01 Due date: 25 Mar 2026 at 23:59	5 questions	AI allowed
Outcomes assessed:
Written test	In-class test (30%) In class test	30%	Week 02 Due date: 30 Mar 2026 at 09:00	1 hour	AI prohibited
Outcomes assessed:
= early feedback task ?

Assessment summary

Early feedback task (0%): This unit includes an Early Feedback Task that is designed to provide students with timely insights into their understanding and engagement with the unit content. The Early Feedback Task in this unit is a multiple choice quiz. The task will be available on Canvas from 9am to 11.59pm on 25 March, Sydney Australia time. It will be tailored to reflect key concepts from the first two days of classes. Students will be provided with immediate automated feedback upon completion of the task.

Structured class participation (10%): Students will receive a mark out of 10 for participating in class discussion on a specific problem allocated to them. The allocation of problems to each student will be released on Canvas prior to the start of classes.

In-class test (30%): Students will undertake an in-class test, worth 30%. The test will consist of written answers to questions covering material from Problems 2-4 in the unit of study Learning Guide. The test will take place at 9.00am 30 March 2026 and will be of one hour duration plus 15 minutes reading time.

Final exam (60%): Students will undertake a supervised final exam, worth 60% held on-campus. It will be an open book exam (hard copy/printed materials only, no electronic devices). The exam will consist of written answers to questions covering all material in the unit of study Learning Guide. You will have 2 hours of writing time plus 30 minutes of reading time to prepare your responses. The supervised final exam will take place on-campus during the week beginning Monday 11 May. The exam timetable will be released by the Exams Office in due course. For further information, please refer to Exam Timetables.

Special consideration: Successful grants of Special Consideration may involve alternative tasks, as appropriate.

Assessment requirements to pass a unit of study: A student must make a genuine attempt at all assessment tasks set out in this Unit of Study in order to obtain a Pass mark and grade (or above); otherwise an Absent Fail grade will be recorded as the student’s result for this Unit of Study. As the EFT is an early diagnostic tool, this task is not included in the final grade for the unit.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2021 (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	Completely answers the question. Contains striking originality of approach or analysis. Demonstrates exhaustive or innovative research (where independent research required). Exceptionally well written, structured and expressed. Is otherwise exceptional in some way.
Distinction	75 - 84	Completely answers the question. Achieves a critical and evaluative approach to the issues. Content and structure is well organised in support of the argument. Demonstrates extensive research and analysis to support a well-documented argument. Generally well expressed and free from errors. Has a clear structure and is well articulated.
Credit	65 - 74	Covers main issues fairly well in answering the question. Contains no significant errors. Demonstrates an attempted critical approach to the issues. Demonstrates reasonably sound research and analysis in addressing the key issues. Has a clear structure and reasonably clear expression.
Pass	50 - 64	Identifies the key issues, but does not follow through with a reasoned argument. Contains some significant errors. Displays satisfactory engagement with the key issues. Offers descriptive summary of material relevant to the question. Superficial use of material, and may display a tendency to paraphrase. Demonstrates little evidence of in-depth research or analysis. Adequate expression. Demonstrates the minimum level of competence and satisfies the requirements to proceed to higher-level studies.
Fail	0 - 49	Does not answer the question. Contains significant or numerous errors. Few or no identifiable arguments. Content that is inappropriate or irrelevant. Lack of research or analysis. Difficult or impossible to understand through poor grammar, expression or structure. Overall, does not demonstrate the minimum level of competence in the assessment.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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:

Late penalties do not apply to exams and tests.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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	Introduction and policy; Distributions (dividends, capital gains, ordinary income or other tax treatment)	Seminar (8 hr)
Week 01	Imputation; Debt equity rules	Seminar (6 hr)
Week 02	Dividend and capital streaming, trading and stripping	Seminar (7 hr)
Week 02	Bonus shares and rights; Buy backs, redemptions, cancellations and liquidations	Seminar (5 hr)

Attendance and class requirements

Attendance: All students are required to attend 70% of classes to satisfy the pass requirements for this unit. Failure to meet this requirement will result in an Absent Fail grade being recorded as the student’s result for this unit (see The University of Sydney Law School Resolutions: Coursework Awards cl 11).

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.

Required readings

Participants are required to have an up-to-date full multi-volume or electronic version of the income tax legislation as produced by one of the commercial publishers and should bring it to every seminar. The legislation on superannuation is not needed.

The readings for each class problem are listed in the Learning Guide on Canvas in association with the problems. This provides a list of legislation, cases, ATO rulings, and additional readings. The most important readings for a particular problem are identified with an asterisk (*). From time to time, additional readings, such as new court decisions, may be added to the reading list. Notice of such additions will be provided in class as well as via announcements posted on the course website.

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. identify and critically assess the policies underlying the legal rules on taxation covered in this unit of study
LO2. interpret the current legal rules on taxation covered in this unit of study and justify your analysis
LO3. evaluate and suggest alternatives to the current legal rules on taxation covered in this unit of study
LO4. apply the current legal rules on taxation covered by this unit of study to practical problems

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.

The assessment has been updated in line with the new assessment framework

Disclaimer

Important: the University of Sydney regularly reviews units of study and reserves the right to change the units of study available annually. To stay up to date on available study options, including unit of study details and availability, refer to the relevant handbook.

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)

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

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

LAWS6030: Corporate Taxation

Intensive March - April, 2026 [Block mode] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

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

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links