MARK3054 Marketing Analytics and Big Data - 2018

MARK3054
Undergraduate
Semester 2
6 Units of Credit
On Campus
Marketing

1. Course Details

Summary of Course

MARK3054 helps you understand the use of analytical tools in marketing and develop your capabilities of using those tools to address marketing problems – key skills that numerous companies look for in marketers, particularly in challenging business environments.

This course builds on your basic statistical skills (e.g., statistical distribution, t-test, ANOVA, and linear regression), and exposes you to a range of statistical tools and techniques typically used in marketing these days. You will also get an opportunity to see what big data techniques can do in marketing, and learn a few basic big data techniques. The emphasis is not on just learning formulae of statistical tools, but on how to apply and interpret a range of statistical techniques to help answer marketing-related questions.

The course is organised around daily marketing problems. Moreover, widely used software (i.e., Microsoft Excel) is used to implement most of the analyses (except for big data techniques which require more specialised software). These arrangements ensure that the knowledge and skills you learn from this course are work-ready for a wide array of businesses ranging from local small business to multinational giants.

Students enrolled in the course are strongly encouraged to start thinking as marketers by asking questions about their data, setting their own direction for the analysis in the project and thinking how a company could utilise the results in practice.


Teaching Times and Locations

Please note that teaching times and locations are subject to change. Students are strongly advised to refer to the Class Timetable website for the most up-to-date teaching times and locations.

View course timetable

Course Policies & Support

Course Aims and Relationship to Other Courses

MARK3054 is a core course for students wishing to complete a major in Marketing within the BCom degree. It builds on marketing concepts and basic statistical skills, and extends your ability to use more sophisticated analytical tools to address daily marketing problems in business practice.

To ensure that you have necessary statistical knowledge and skills ready for this course, you need to complete either ECON1203 or MARK2052 as a pre-requisite course.

2. Staff Contact Details

Position Title Name Email Location Phone Consultation Times
Lecturer-in-chargeDrSongting DongRoom 3016, Quadrangle Building – Ref E15+61 2 9385 2699Wednesday 11:00 – 12:00 (or by appointment)

Communication with staff

Email: email is the preferred contact method, will respond within one business day.

Tutors: A full list of tutorial classes, tutors and tutors’ contact information will be posted on the Moodle course website.

Staff will be available for consultation at the specified consultation times – NO appointment needs to be made if you wish to see your lecturer or tutor at the consultation times. If you require contact outside of the consultation times, please email the staff member with your question or to negotiate an alternate and mutually suitable consultation arrangement.

3. Learning and Teaching Activities

Approach to Learning and Teaching in the Course

This course is structured to challenge you, encourage you to develop critical thinking and develop in you an analytical mindset for problem-solving.

From experience, we have found that students learn statistical tools better when they are relevant to realistic problems. Therefore the course organises the topics around daily marketing problems. The course teaches you the analytical tools you need for solving these problems, and then provides opportunities for you to practice these skills to solidify your understanding. You will then apply them in a realistic marketing study in a team setting, and provide insights and guidance for managerial implementations.

To obtain full benefits from this course, you must be willing to extend yourself beyond your comfort zone. You need to practice extensively to be familiar with the analytical tools and become a good friend to them. Once you are comfortable with the analytical tools, they will come to you when you need to address a marketing problem, and you will be able to analyse the problem in a scientific way and provide evidence-based conclusions. This is a sign of critical thinking and that you have started to form an analytical mindset.

This course involves dual responsibilities: staff is responsible for providing a learning direction (methods, theories, and assessment); students are responsible for preparing the recommended materials prior to lectures and tutorials, making intelligent contributions to discussions, practising and clarifying ambiguities, being willing to learn and to undertake activities that are important for learning. Students must complete set tasks and be active in lectures and tutorials, and you must also show initiative by being proactive in their own learning.


Learning Activities and Teaching Strategies

Teaching in this course will be via lectures, tutorials, individual study, and teamwork.

Lectures: the lectures will introduce a range of various statistical techniques that may be used by marketers to understand marketing problems.  Each technique will be introduced within the context of a marketing problem to convey why and how it is used. The emphasis will be on understanding the basics of each technique, how it can be applied, and what the results mean for a marketer. Though some formulae will be presented, memorizing them is not the target. It is presumed that you have completed the required preparation for the week before you attend the lecture.

Tutorials: the tutorials will be used to reinforce materials covered in the lectures and practise the analytical tools to answer marketing questions. The tutorial program is very practical and has been designed to develop your skills via plenty of exercises. Each week you will be given a range of exercises on a specific topic and implement analytical tools on the computer to complete these tasks. You are expected to prepare for the tutorial before the tutorials and revisit the exercises to solidify your learning after the tutorials.

Individual study: time spent on practice exercises outside of formal lectures and tutorials is highly recommended to consolidate your understanding of all aspects of the course. There are many datasets available on Moodle to enable you to practise what is covered in lectures and tutorials.

Teamwork: sophisticated marketing projects will be completed in teams. During the team project, it is highly recommended that you not only aim to complete the task, but also aim to develop and enhance your teamwork skills. It is very helpful for you to continually reflect on your teamwork experience and come up with improvement ideas.

5. Course Resources

The website for this course is on Moodle.

Lecture Recording

The lectures are recorded, but please keep in mind that the recordings are for review purpose only. The course is not an online course, and the recordings are not meant to replace the lecture attendance. The record setting and record quality do not guarantee to fully replicate the lectures, and the interactions in the lectures will not be possible in the recording. Please also note that tutorials are not recorded.

Prescribed Textbook

There is NO prescribed textbook in the course.
Slides, reading materials and exercise datasets used in a particular week will be available on Moodle by Monday night of that week.

Other Resources

The following is a list of books you may find useful as additional sources of information.
  • Marketing research handbook
    • Marketing Research: An Applied Orientation (6th Edition) by Malhotra. A global edition is available in Australia. Published in 2010, by Pearson Education, Inc.
    • This book can be used as a handbook of marketing research designs and classical analytical tools.
  • Multivariate statistics
    • Multivariate Data Analysis (7th Edition) by Hair et al. Published in 2010, by Pearson Education, Inc.
    • This book can provide you more details on multivariate statistics.
  • Implementing analytics in marketing strategies
    • Marketing Strategy by Robert W. Palmatier and Shrihari Sridhar. Published in 2017, by Palgrave.
    • This book provides a good sense as how analytics are utilised in marketing strategies.
  • Excel resources
    • Real Statistics Using Excel: This website has rich Microsoft Excel resources, including Excel add-in software for statistical analyses, statistics instructions, examples, and discussion forums. The Excel add-in software works for both PC and Mac.
    • Marketing Analytics: Data-Driven Techniques with Microsoft Excel by Wayne L. Winston. Published in 2014, by John Wiley & Sons, Inc. It is an excellent resource that covers many analytical tools in marketing analytics, using Excel. You may use this book as a hand book and find out the solutions that you face (which may or may not be covered in this course). An e-version may be accessed from the library website.
  • Big data analytics
    • There seems to be no comprehensive book for big data analytics. The following two may give you a sense.
    • Applied Business Analytics by Lin. Published in 2015, by Pearson Education, Inc.
    • Data and Text Mining: A Business Applications Approach (1st Edition) by Miller. Published in 2005, by Pearson Education, Inc.
  • Essay writing guide
    • Q Manual.
    • This is a good guide for your essay writing. It also provides a referencing style guide.


6. Course Evaluation & Development

Each year feedback is sought from students and other stakeholders about the courses offered in the School and continual improvements are made based on this feedback. UNSW's myExperience survey is one of the ways in which student evaluative feedback is gathered. In this course, we will seek your feedback through the end of semester myExperience responses.
Based on feedback from previous students we have made significant changes to this course. We removed a few topics, and spend more time discussing and exercising each of the tools that are covered.  On top of classical marketing analytics, we have also added more time to discuss digital marketing and big data, to help our students thrive in the big data world. Since students found group project an excellent learning tool, we keep the group project which is associated with real marketing problems, and use exercises such as research plan feedback and informal peer evaluation to provide timely support during the procedure.
Previous feedback also suggests that lecture recording is desired for review purposes and in the cases of occasionally lecture missing. It is well-heard, and lectures are now recorded.
If at any time you have any concerns about your progress or any aspects of the course, please feel free to contact me to discuss your concerns.

7. Course Schedule

Week 1: 23 July
Activity

Lecture

Topic

Course overview

Activity

Tutorial

Topic

[NO TUTORIAL]

Week 2: 30 July
Activity

Lecture

Topic

Consumer preference elicitation

Activity

Tutorial

Topic

Preference elicitation

Week 3: 6 Aug
Activity

Lecture

Topic

Conjoint analysis

Activity

Tutorial

Topic

Conjoint analysis

Week 4: 13 Aug
Activity

Lecture

Topic

Customer lifetime value estimation

Activity

Tutorial

Topic

Quiz 1

Assessment/Other

Quiz 1

Week 5: 20 Aug
Activity

Lecture

Topic

Segmentation techniques (I)

Activity

Tutorial

Topic

CLV calculation

Assessment/Other

Research plan

Week 6: 27 Aug
Activity

Lecture

Topic

Segmentation techniques (II)

Activity

Tutorial

Topic

Segmentation models (I)

Assessment/Other

Peer evaluation (informal)

Week 7: 3 Sep
Activity

Lecture

Topic

Pricing models

Activity

Tutorial

Topic

Segmentation models (II)

Week 8: 10 Sep
Activity

Lecture

Topic

Advertising models (I)

Activity

Tutorial

Topic

Pricing models

Week 9: 17 Sep
Activity

Lecture

Topic

Advertising models (II)

Activity

Tutorial

Topic

Advertising models

Week 10: 1 Oct
Activity

Lecture

Topic

Social network analysis

Activity

Tutorial

Topic

Quiz 2

Assessment/Other

Quiz 2

Week 11: 8 Oct
Activity

Lecture

Topic

Text analytics

Activity

Tutorial

Topic

Social network analysis

Week 12: 15 Oct
Activity

Lecture

Topic

Big data mechanism and course review

Activity

Tutorial

Topic

Text analytics

Presentation (2 teams)

Assessment/Other

Final report

Presentation

Week 13: 22 Oct
Activity

Lecture

Topic

[NO lecture]

Activity

Tutorial

Topic

Presentation (the rest of the teams)

Exam prep

Assessment/Other

Presentation

Individual reflection

Peer evaluation

8. Policies

Information about UNSW Business School protocols, University policies, student responsibilities and education quality and support.

Program Learning Outcomes

The Business School places knowledge and capabilities at the core of its curriculum via seven Program Learning Outcomes (PLOs). These PLOs are systematically embedded and developed across the duration of all coursework programs in the Business School.

PLOs embody the knowledge, skills and capabilities that are taught, practised and assessed within each Business School program. They articulate what you should know and be able to do upon successful completion of your degree.

Upon graduation, you should have a high level of specialised business knowledge and capacity for responsible business thinking, underpinned by ethical professional practice. You should be able to harness, manage and communicate business information effectively and work collaboratively with others. You should be an experienced problem-solver and critical thinker, with a global perspective, cultural competence and the potential for innovative leadership.

All UNSW programs and courses are designed to assess the attainment of program and/or course level learning outcomes, as required by the UNSW Assessment Design Procedure. It is important that you become familiar with the Business School PLOs, as they constitute the framework which informs and shapes the components and assessments of the courses within your program of study.

PLO 1: Business knowledge

Students will make informed and effective selection and application of knowledge in a discipline or profession, in the contexts of local and global business.

PLO 2: Problem solving

Students will define and address business problems, and propose effective evidence-based solutions, through the application of rigorous analysis and critical thinking.

PLO 3: Business communication

Students will harness, manage and communicate business information effectively using multiple forms of communication across different channels.

PLO 4: Teamwork

Students will interact and collaborate effectively with others to achieve a common business purpose or fulfil a common business project, and reflect critically on the process and the outcomes.

PLO 5: Responsible business practice

Students will develop and be committed to responsible business thinking and approaches, which are underpinned by ethical professional practice and sustainability considerations.

PLO 6: Global and cultural competence

Students will be aware of business systems in the wider world and actively committed to recognise and respect the cultural norms, beliefs and values of others, and will apply this knowledge to interact, communicate and work effectively in diverse environments.

PLO 7: Leadership development

Students will develop the capacity to take initiative, encourage forward thinking and bring about innovation, while effectively influencing others to achieve desired results.

These PLOs relate to undergraduate and postgraduate coursework programs.  Separate PLOs for honours and postgraduate research programs are included under 'Related Documents'.

Business School course outlines provide detailed information for students on how the course learning outcomes, learning activities, and assessment/s contribute to the development of Program Learning Outcomes.

RELATED DOCUMENTS


UNSW Graduate Capabilities

The Business School PLOs are linked to UNSW Graduate Capabilities, a set of generic abilities and skills that all students are expected to achieve by graduation. These capabilities articulate the University's institutional values, as well as future employer expectations.

UNSW Graduate Capabilities

The Business School PLOs also incorporate UNSW graduate capabilities, a set of generic abilities and skills that all students are expected to achieve by graduation. These capabilities articulate the University’s institutional values, as well as future employer expectations.

UNSW Graduate CapabilitiesBusiness School PLOs
Scholars capable of independent and collaborative enquiry, rigorous in their analysis, critique and reflection, and able to innovate by applying their knowledge and skills to the solution of novel as well as routine problems.
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 4: Teamwork
  • PLO 7: Leadership development

Entrepreneurial leaders capable of initiating and embracing innovation and change, as well as engaging and enabling others to contribute to change
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 4: Teamwork
  • PLO 6: Global and cultural competence
  • PLO 7: Leadership development

Professionals capable of ethical, self-directed practice and independent lifelong learning
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 5: Responsible business practice

Global citizens who are culturally adept and capable of respecting diversity and acting in a socially just and responsible way.
  • PLO 1: Business knowledge
  • PLO 2: Problem solving
  • PLO 3: Business communication
  • PLO 4: Teamwork
  • PLO 5: Responsible business practice
  • PLO 6: Global and cultural competence

While our programs are designed to provide coverage of all PLOs and graduate capabilities, they also provide you with a great deal of choice and flexibility.  The Business School strongly advises you to choose a range of courses that assist your development against the seven PLOs and four graduate capabilities, and to keep a record of your achievements as part of your portfolio. You can use a portfolio as evidence in employment applications as well as a reference for work or further study. For support with selecting your courses contact the UNSW Business School Student Centre.



Academic Integrity and Plagiarism

Academic Integrity is honest and responsible scholarship. This form of ethical scholarship is highly valued at UNSW. Terms like Academic Integrity, misconduct, referencing, conventions, plagiarism, academic practices, citations and evidence based learning are all considered basic concepts that successful university students understand. Learning how to communicate original ideas, refer sources, work independently, and report results accurately and honestly are skills that you will be able to carry beyond your studies.

The definition of academic misconduct is broad. It covers practices such as cheating, copying and using another person’s work without appropriate acknowledgement. Incidents of academic misconduct may have serious consequences for students.

Plagiarism

UNSW regards plagiarism as a form of academic misconduct. UNSW has very strict rules regarding plagiarism. Plagiarism at UNSW is using the words or ideas of others and passing them off as your own. All Schools in the Business School have a Student Ethics Officer who will investigate incidents of plagiarism and may result in a student’s name being placed on the Plagiarism and Student Misconduct Registers.

Below are examples of plagiarism including self-plagiarism:

Copying: Using the same or very similar words to the original text or idea without acknowledging the source or using quotation marks. This includes copying materials, ideas or concepts from a book, article, report or other written document, presentation, composition, artwork, design, drawing, circuitry, computer program or software, website, internet, other electronic resource, or another person's assignment, without appropriate acknowledgement of authorship.

Inappropriate Paraphrasing: Changing a few words and phrases while mostly retaining the original structure and/or progression of ideas of the original, and information without acknowledgement. This also applies in presentations where someone paraphrases another’s ideas or words without credit and to piecing together quotes and paraphrases into a new whole, without appropriate referencing.

Collusion: Presenting work as independent work when it has been produced in whole or part in collusion with other people. Collusion includes:

  • Students providing their work to another student before the due date, or for the purpose of them plagiarising at any time
  • Paying another person to perform an academic task and passing it off as your own
  • Stealing or acquiring another person’s academic work and copying it
  • Offering to complete another person’s work or seeking payment for completing academic work

Collusion should not be confused with academic collaboration (i.e., shared contribution towards a group task).

Inappropriate Citation: Citing sources which have not been read, without acknowledging the 'secondary' source from which knowledge of them has been obtained.

Self-Plagiarism: ‘Self-plagiarism’ occurs where an author republishes their own previously written work and presents it as new findings without referencing the earlier work, either in its entirety or partially. Self-plagiarism is also referred to as 'recycling', 'duplication', or 'multiple submissions of research findings' without disclosure. In the student context, self-plagiarism includes re-using parts of, or all of, a body of work that has already been submitted for assessment without proper citation.

To see if you understand plagiarism, do this short quiz:https://student.unsw.edu.au/plagiarism-quiz

Cheating

The University also regards cheating as a form of academic misconduct. Cheating is knowingly submitting the work of others as their own and includes contract cheating (work produced by an external agent or third party that is submitted under the pretences of being a student’s original piece of work). Cheating is not acceptable at UNSW.

If you need to revise or clarify any terms associated with academic integrity you should explore the 'Working with Academic Integrity' self-paced lessons available at: https://student.unsw.edu.au/aim.

For UNSW policies, penalties, and information to help you avoid plagiarism see: https://student.unsw.edu.au/plagiarism as well as the guidelines in the online ELISE tutorials for all new UNSW students: http://subjectguides.library.unsw.edu.au/elise. For information on student conduct see:https://student.unsw.edu.au/conduct.

For information on how to acknowledge your sources and reference correctly, see: https://student.unsw.edu.au/referencing. If you are unsure what referencing style to use in this course, you should ask the lecturer in charge.

Student Responsibilities and Conduct

Students are expected to be familiar with and adhere to university policies in relation to class attendance and general conduct and behaviour, including maintaining a safe, respectful environment; and to understand their obligations in relation to workload, assessment and keeping informed.

Information and policies on these topics can be found on the'Managing your Program' website.

Workload

It is expected that you will spend at least nine to ten hours per week studying for a course except for Summer Term courses which have a minimum weekly workload of eighteen to twenty hours. This time should be made up of reading, research, working on exercises and problems, online activities and attending classes. In periods where you need to complete assignments or prepare for examinations, the workload may be greater. Over-commitment has been a cause of failure for many students. You should take the required workload into account when planning how to balance study with employment and other activities.

We strongly encourage you to connect with your Moodle course websites in the first week of semester. Local and international research indicates that students who engage early and often with their course website are more likely to pass their course.

View more information on expected workload

Attendance

Your regular and punctual attendance at lectures and seminars or in online learning activities is expected in this course. The Business School reserves the right to refuse final assessment to those students who attend less than 80% of scheduled classes where attendance and participation is required as part of the learning process (e.g., tutorials, flipped classroom sessions, seminars, labs, etc.).

View more information on attendance

General Conduct and Behaviour

You are expected to conduct yourself with consideration and respect for the needs of your fellow students and teaching staff. Conduct which unduly disrupts or interferes with a class, such as ringing or talking on mobile phones, is not acceptable and students may be asked to leave the class.

View more information on student conduct

Health and Safety

UNSW Policy requires each person to work safely and responsibly, in order to avoid personal injury and to protect the safety of others.

View more information on Health and Safety

Keeping Informed

You should take note of all announcements made in lectures, tutorials or on the course web site. From time to time, the University will send important announcements to your university e-mail address without providing you with a paper copy. You will be deemed to have received this information. It is also your responsibility to keep the University informed of all changes to your contact details.


Special Consideration

You must submit all assignments and attend all examinations scheduled for your course. You can apply for special consideration when illness or other circumstances beyond your control, interfere with your performance in a specific assessment task or tasks. Special Consideration is primarily intended to provide you with an extra opportunity to demonstrate the level of performance of which you are capable.

General information on special consideration for undergraduate and postgraduate courses can be found in the Assessment Implementation Procedure and the Current Students page.

Please note the following:

  1. Applications will not be accepted by teaching staff. The lecturer-in-charge will be automatically notified when you lodge an online application for special consideration
  2. Decisions and recommendations are only made by lecturers-in-charge (or by the Faculty Panel in the case of final exam special considerations), not by tutors
  3. Applying for special consideration does not automatically mean that you will be granted a supplementary exam or other concession
  4. Special consideration requests do not allow lecturers-in-charge to award students additional marks

Business School Protocol on requests for Special Consideration

The lecturer-in-charge will need to be satisfied on each of the following before supporting a request for special consideration:

  1. Does the medical certificate contain all relevant information? For a medical certificate to be accepted, the degree of illness and its impact on the student must be stated by the medical practitioner (severe, moderate, mild). A certificate without this will not be valid. Students should also note that only medical certificates issued after physically visiting a registered medical practitioner will be accepted. Medical certificates submitted for Special Consideration should always be requested from a registered medical practitioner that you have seen at a medical practice. Certificates obtained online or via social media may be fraudulent and if relied upon could result in a breach of the UNSW Student Code.
  2. Has the student performed satisfactorily in the other assessment items? To understand what Satisfactory Performance means in this course, please refer to the 'Formal Requirements' section in Part A of your Course Outline

Special Consideration and the Final Exam in undergraduate and postgraduate courses

Applications for special consideration in relation to the final exam are considered by a Business School Faculty panel to which lecturers-in-charge provide their recommendations for each request. If the Faculty panel grants a special consideration request, this will entitle the student to sit a supplementary examination. No other form of consideration will be granted. The following procedures will apply:

  1. Supplementary exams will be scheduled centrally and will be held approximately two weeks after the formal examination period. Supplementary exams for Semester 1, 2018 will be held during the period 14 - 21 July, 2018. Supplementary exams for Semester 2, 2018 will be held during the period 8 - 15 December, 2018. Students wishing to sit a supplementary exam will need to be available during this period.
    If a student lodges a special consideration application for the final exam, they are stating they will be available on this date. Supplementary exams will not be held at any other time.

  2. Where a student is granted a supplementary examination as a result of a request for special consideration, the student’s original exam (if completed) will be ignored and only the mark achieved in the supplementary examination will count towards the final grade. Absence from a supplementary exam without prior notification does not entitle the student to have the original exam paper marked, and may result in a zero mark for the final exam.

The Supplementary Exam Protocol for Business School students is available at: http://www.business.unsw.edu.au/suppexamprotocol

For special consideration for assessments other than the final exam refer to the ‘Assessment Section’ in your course outline.


Protocol for Viewing Final Exam Scripts

The UNSW Business School has set a protocol under which students may view their final exam script. Please check the protocol here.

Given individual schools within the Faculty may set up a local process for viewing final exam scripts, it is important that you check with your School whether they have any additional information on this process. Please note that this information might also be included in your course outline.

Student Support and Resources

The University and the Business School provide a wide range of support services and resources for students, including:

Business School Education Quality and support Unit (EQS)
The EQS offers academic writing, study skills and maths support specifically for Business students. Services include workshops, online resources, and individual consultations.
Level 1, Room 1033, Quadrangle Building.
bschoolconsults@unsw.edu.au
02 9385 7577 or 02 9385 4508

Business School Student Centre
The Business School Student Centre provides advice and direction on all aspects of admission, enrolment and graduation.
Level 1, Room 1028 in the Quadrangle Building
02 9385 3189

UNSW Learning Centre
The UNSW Learning Centre provides academic skills support services, including workshops and resources, for all UNSW students. See their website for details.
Lower Ground Floor, North Wing Chancellery Building.
learningcentre@unsw.edu.au
02 9385 2060

Educational Support Service
Educational Support Advisors work with all students to promote the development of skills needed to succeed at university, whilst also providing personal support throughout the process. Check their website to request an appointment or to register in the Academic Success Program.
John Goodsell Building, Ground Floor.
advisors@unsw.edu.au
02 9385 4734

Library services and facilities for students
The UNSW Library offers a range of collections, services and facilities both on-campus and online.
Main Library, F21.
02 9385 2650

Moodle eLearning Support
Moodle is the University’s learning management system. You should ensure that you log into Moodle regularly.
externalteltsupport@unsw.edu.au
02 9385 3331

UNSW IT
UNSW IT provides support and services for students such as password access, email services, wireless services and technical support.
UNSW Library Annexe (Ground floor).
itservicecentre@unsw.edu.au
02 9385 1333

Disability Support Services
UNSW Disability Support Services provides assistance to students who are trying to manage the demands of university as well as a health condition, learning disability or who have personal circumstances that are having an impact on their studies. Disability Advisers can arrange to put in place services and educational adjustments to make things more manageable so that students are able to complete their course requirements. To receive educational adjustments for disability support, students must first register with Disability Services.
Ground Floor, John Goodsell Building.
disabilities@unsw.edu.au
02 9385 4734

UNSW Counselling and Psychological Services
Provides support and services if you need help with your personal life, getting your academic life back on track or just want to know how to stay safe, including free, confidential counselling.
Level 2, East Wing, Quadrangle Building.
counselling@unsw.edu.au
02 9385 5418

Search Degrees

Find a degree or course



MARK3054