Outline

Overview

This unit provides students with access to valuable, protected intellectual property which has been generated across the university to enable them to identify product-market fit. Students are provided with the opportunity to learn and practice the processes required to create new business ventures. On successful completion of this unit, students should be able to demonstrate knowledge of the commercialisation process through a portfolio of research, learnings and findings; design and implement validation tests for new business assumptions and identify good leadership practices and plan how to implement them within their entrepreneurial project.

Unit details and rules

Academic unit	Strategy, Innovation and Entrepreneurship
Credit points	12
Prerequisites ?	Students must meet the entry requirements for the Bachelor of Advanced Studies (Advanced Coursework), including completion of a pass undergraduate degree
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Jarryd Daymond, jarryd.daymond@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2025

Details
Criteria

Type	Description	Weight	Due	Length
Supervised exam ?	Final Exam Supervised closed-book exam on the theory and experience of the unit BringYourOwnDevice exam on campus	30%	Formal exam period	2 hours
Outcomes assessed:
Assignment	Entrepreneurial Problem Video Video recorded overview of the proposed problem area to address	15%	Week 07 Due date: 13 Apr 2025 at 23:59 Closing date: 20 Apr 2025	5 minutes
Outcomes assessed:
Presentation	Entrepreneurship Project Pitch Presentation of a group-generated solution	45%	Week 13 Due date: 29 May 2025 at 09:00 Closing date: 29 May 2025	Slide deck and 12-15 minute presentation
Outcomes assessed:
Participation	Participation and Professionalism In-class activities and participation	10%	Weekly	Weekly participation in class activities
Outcomes assessed:
= group assignment ? = AI allowed ?

Assessment summary

Entrepreneurial Problem Video: In groups, you will record a video that outlines the entrepreneurial problem you intend to address in your Entrepreneurship Project. The entrepreneurial problem is the validated consumer demand or user concern you envisage meeting by bringing your assigned invention to market via a product or service and associated business model.

Entrepreneurship Project Pitch: In groups, at the conclusion of the Entrepreneurship Project, you will present your entrepreneurial solution to a panel of judges. The presentation will outline the process you followed during your project, the details of your solution, your engagement with users and industry to validate the problem you are solving and your prototypes, and your go-to-market plan for your solution.

Participation and Professionalism: You will attend and participate in classes in a professional manner, constructively and respectfully contributing to discussions and completing assigned in-class tasks.

Final Exam: During the final exam period, you will take an individual, closed-book exam and answer questions that connect the theory from the unit to your entrepreneurial learning journey and personal development sparked during the unit.
Students will be assessed in a Bring Your Own Device (BYOD) exam taken on campus with supervision. Further information about the delivery of the exams will be provided closer to the test exam.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy (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 sydney.edu.au/students/guide-to-grades.

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:

Any assessment submitted after the due time and date will incur a late penalty of 5% of the total marks per 24 hour period, or part thereof, late.

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	Introducing the unit and entrepreneurship for commercialising science	Workshop (1.5 hr)
Week 01	Examining conceptual frameworks for entrepreneurial theory and practice	Workshop (1.5 hr)
Week 02	Understanding innovation, inventions, and intellectual property	Workshop (1.5 hr)
Week 02	Forming effective entrepreneurial teams	Workshop (1.5 hr)
Week 03	Interrogating the capabilities of assigned inventions	Workshop (3 hr)
Week 04	Exploring problem areas related to inventions	Workshop (3 hr)
Week 05	Validating the problem space through primary research	Workshop (3 hr)
Week 06	Synthesising insights into problem space	Workshop (3 hr)
Week 07	Bridging the problem and solution spaces	Workshop (3 hr)
Week 08	Interrogating the proposed entrepreneurial solution	Workshop (3 hr)
Week 09	Prototyping and entrepreneurial experiments	Workshop (3 hr)
Week 10	Developing robust business models	Workshop (3 hr)
Week 11	Planning go-to-market strategies	Workshop (3 hr)
Week 12	Pitching entrepreneurial solutions	Workshop (3 hr)
Week 13	Showcasing entrepreneurial ventures	Workshop (3 hr)

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 12 credit point unit, this equates to roughly 240-300 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. Execute the startup process in relation to the specific intellectual property provided within the unit
LO2. Identify and critically review business opportunities
LO3. Design and implement entrepreneurial experiments
LO4. Identify and validate an appropriate business model
LO5. Understand and apply entrepreneurial theories, models, and tools
LO6. Critically reflect on practical approaches to entrepreneurship

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 unit has been revised in response to student feedback. While the practical aspects, hands-on technology/invention experience, and real-life business model development will continue to be core elements of the unit, the following changes have been made to improve the unit's structure, group dynamics, and expectations: 1.) To create more time for interactive and practical activities, additional presentation material will be pre-recorded. As part of this, academic entrepreneurs will also share their commercialisation journeys to provide students with more insight into firsthand commercialisation experiences. 2.) More materials have been sourced and added to the curriculum to deepen understanding and demonstrate the application of theory to projects. 3.) To address the issue of uneven group contributions, individual participation and professionalism will be evaluated to ensure a fairer distribution of effort in group tasks and class activities. This will contribute to better group learning outcomes. 4.) As a part of maintaining a balanced assessment structure, the weighting of the reflective task will be slightly reduced. These changes will help enhance the positive impact of the unit on skill development, particularly in innovation and collaboration, which will continue to be a focus of the unit.

Additional information

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

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

BUSS4917: Entrepreneurship Project

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

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