MARK5822 Marketing Analytics in a Big Data World - 2018

MARK5822
Postgraduate
Semester 1
6 Units of Credit
On Campus
Marketing

1. Course Details

Summary of Course

MARK5822 helps to develop your capabilities of using advanced analytical tools to address marketing problems – key skills that numerous companies have stated they look for in marketers, particularly in challenging business environments.

Students are exposed to a range of statistical tools and techniques, from classical statistical tools to emerging big data techniques. The emphasis is not on 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 range of business, from local small business to multinational giants.

In the course students are strongly encouraged to start thinking as marketers by asking questions of their data, setting their own direction for the analysis in the project and thinking about 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

This course is offered as part of the Marketing stream in the MCom degree. The course builds on marketing concepts and basic statistical skills, and extends your ability to use advanced analytical tools to address marketing problems in daily business practice.

Basic statistical knowledge and skills (e.g., statistical distribution, t-test, ANOVA, and linear regression) are assumed before starting this course. The pre-requisite for this course is COMM5005 or COMM5011 or ECON5248.

2. Staff Contact Details

Position Title Name Email Location Phone Consultation Times
Lecturer-in-chargeDrSongting DongRoom 3016, Quadrangle Building – Ref E15+61 2 9385 2699Thursday 15:00 – 16:00 (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 constructed so as to challenge you, encourage you to develop critical thinking and start to form an analytical mindset in 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 start to form an analytical mindset.

In this course, there are 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 is 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 are 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.

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.

Additional Sources

The following is a list of resources 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 via the library website: EBooks
  • 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.

Feedback from previous students indicated that there was need to recap important tools such as regression at the beginning of the course; that it is better to remove some topics and at the same time do more exercise on some other topics; and that group project is an excellent learning tool.

As a result of this feedback, we have removed a few topics, provided more discussion and exercises on topics such as regression and customer heterogeneity, and use tutorials to provide more exercise opportunities. Moreover, we keep the group project which is associated with real marketing problems, and use exercises such as research questions 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. Moreover, video tutorials on a few key methods are also provided.

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: 26 Feb
Activity

Lecture

Topic

Course overview

Activity

Tutorial

Topic

[Combined with the lecture]

Week 2: 05 Mar
Activity

Lecture

Topic

Regression and its variations (I)

Activity

Tutorial

Topic

Regression (I)

Week 3: 12 Mar
Activity

Lecture

Topic

Regression and its variations (II)

Activity

Tutorial

Topic

Regression (II)

Week 4: 19 Mar
Activity

Lecture

Topic

Customer value assessment

Activity

Tutorial

Topic

Customer value calculation

Assessment/Other

Quiz 1

Week 5: 26 Mar
Activity

Lecture

Topic

[NO LECTURE: Public holiday]

Assessment/Other

Research plan

Activity

Tutorial

Topic

[NO TUTORIAL]

Mid Semester Break: 02 Apr
Week 6: 09 Apr
Activity

Lecture

Topic

Customer heterogeneity assessment (I)

Activity

Tutorial

Topic

Customer heterogeneity estimation (I)

Assessment/Other

Peer evaluation (informal)

Week 7: 16 Apr
Activity

Lecture

Topic

Customer heterogeneity assessment (II)

Activity

Tutorial

Topic

Customer heterogeneity estimation (II)

Week 8: 23 Apr
Activity

Lecture

Topic

Demand curve and revenue management

Activity

Tutorial

Topic

Demand curve estimation

Week 9: 30 Apr
Activity

Lecture

Topic

Resource allocation

Activity

Tutorial

Topic

Response model estimation

Week 10: 07 May
Activity

Lecture

Topic

Pay per click analysis

Activity

Tutorial

Topic

Pay per click analysis

Assessment/Other

Quiz 2

Week 11: 14 May
Activity

Lecture

Topic

Social network analysis

Activity

Tutorial

Topic

Social network analysis

Assessment/Other

Final report

Presentation

Week 12: 21 May
Activity

Lecture

Topic

Text analytics

Activity

Tutorial

Topic

Text mining analysis

Assessment/Other

Presentation

Peer evaluation

Week 13: 28 May
Activity

Lecture

Topic

Big data mechanism and course review

Activity

Tutorial

Topic

[Combined with the lecture]

8. Policies

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

Program Learning Goals and Outcomes

The Business School Program Learning Goals reflect what we want all students to BE or HAVE by the time they successfully complete their degree, regardless of their individual majors or specialisations. For example, we want all our graduates to HAVE a high level of business knowledge and a sound awareness of ethical, social, cultural and environmental implications of business. As well, we want all our graduates to BE effective problem-solvers, communicators and team participants.

You can demonstrate your achievement of these goals by the specific outcomes you achieve by the end of your degree (i.e. Program Learning Outcomes—henceforth PLOs). These PLOs articulate what you need to know and be able to do as a result of engaging in learning. They embody the knowledge, skills and capabilities that are identified, mapped, taught, practised and assessed within each Business School program.

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

Program Learning Outcomes

  • Undergraduate
  • Postgraduate Coursework
Knowledge You should be able to identify and apply disciplinary knowledge to business situations in a local and global environment.
Critical thinking and problem solving You should be able to identify and research issues in business situations, analyse the issues, and propose appropriate and well-justified solutions.
Written communication You should be able to prepare written documents that are clear, concise and coherent, using appropriate style and presentation for the intended audience, purpose and context.
Oral communication You should be able to prepare and deliver oral presentations that are clear, focussed, well-structured, and delivered in a professional manner.
Teamwork You should be able to participate collaboratively and responsibly in teams, and reflect on your own teamwork, and on the team’s processes and ability to achieve outcomes.
Ethical, social and environmental responsibility
  1. You should be able to identify and assess ethical, environmental and/or sustainability considerations in business decision-making and practice.
  2. You should be able to identify social and cultural implications of business.
Workplace skills (Co-op programs only) You should be able to conduct yourself in a professional manner in the work environment, communicate effectively in diverse workplace situations and be able to apply discipline knowledge and understanding to real business problems with initiative and self-direction.
Related PLO Documents View the Undergraduate Honours PLOs (pdf)
Knowledge You should be able to identify and apply current knowledge of disciplinary or interdisciplinary theory and professional practice to business in local and global environments.
Critical thinking and problem solving You should be able to identify, research and analyse complex issues and problems in business and/or management, and propose appropriate and well-justified solutions.
Written communication You should be able to produce written documents that communicate complex disciplinary ideas and information effectively for the intended audience and purpose.
Oral communication You should be able to produce oral presentations that communicate complex disciplinary ideas and information effectively for the intended audience and purpose.
Teamwork You should be able to participate collaboratively and responsibly in teams, and reflect on your own teamwork, and on the team’s processes and ability to achieve outcomes.
Ethical, social and environmental responsibility
  1. You should be able to identify and assess ethical, environmental and/or sustainability considerations in business decision-making and practice.
  2. You should be able to identify social and cultural implications of business.
Related PLO Documents View the Master of Philosophy PLOs (pdf)
View the Doctor of Philosophy PLOs (pdf)

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.
  • Critical thinking and problem solving
  • Knowledge
  • Oral communication
  • Research capability
  • Teamwork
  • Workplace skills
  • Written communication
Entrepreneurial leaders capable of initiating and embracing innovation and change, as well as engaging and enabling others to contribute to change
  • Critical thinking and problem solving
  • Knowledge
  • Oral communication
  • Workplace skills
  • Written communication
Professionals capable of ethical, self- directed practice and independent lifelong learning
  • Ethical, social and environmental responsibility
  • Workplace skills
Global citizens who are culturally adept and capable of respecting diversity and acting in a socially just and responsible way.
  • Ethical, social and environmental responsibility
  • Oral communication
  • Written communication

The Business School strongly advises you to choose a range of courses that assist your development against these PLOs and graduate capabilities, and to keep a record of your achievements as part of your portfolio. You could use these records 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. Students wishing to sit a supplementary exam will need to be available during this period.

    The date for all Business School supplementary exams for Summer Term 2017/2018 is Wednesday, 21 February, 2018. If a student lodges a special consideration 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


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