MARK3054 Marketing Analytics and Big Data

Subject Code

MARK3054

Study Level

Undergraduate

Commencing Term

Term 1

Total Units of Credit (UOC)

Delivery Mode

On Campus

School

Marketing

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1. Course Details

Summary of Course

MARK3054 helps you understand the use of analytical tools in marketing, and develop your capabilities of using analytical tools to address marketing problems – key skills that numerous companies have stated they look for in marketers, particularly in more and more 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 nowadays. You will also get a chance to see what big data techniques can do in marketing, and learn a few basic 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 and R) is used to implement the analyses. 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

The Business School expects that you are familiar with the contents of this course outline and the UNSW and Business School learning expectations, rules, policies and support services as listed below:

Program Learning Outcomes
Academic Integrity and Plagiarism
Student Responsibilities and Conduct
Special Consideration
Protocol for Viewing Final Exam Scripts
Student Learning Support Services

Further information is provided in the Assessment and Policies and Support sections.

Students may not circulate or post online any course materials such as handouts, exams, syllabi or similar resources from their courses without the written permission of their instructor.

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, or demonstrate equivalent statistics knowledge (seek enrolment permission from Program Coordinator).

Student Learning Outcomes

The Course Learning Outcomes (CLOs) are what you should be able to demonstrate by the end of this course, if you participate fully in learning activities and successfully complete the assessment items.

CLOs also contribute to your achievement of the Program Learning Outcomes (PLOs), which are developed across the duration of a program. PLOs are, in turn, directly linked to UNSW graduate capabilities. More information on Coursework PLOs is available under Policies and Support. For PG Research PLOs, including MPDBS, please refer to the UNSW HDR Learning Outcomes.

The following table shows how the CLOs for this course relate to the overall PLOs and indicates where each CLO and PLO is assessed:

Course Learning Outcomes	Program Learning Outcomes	Course Assessment Item
On successful completion of the course, you should be able to:	This course helps you to develop the following Program Learning Outcomes:	This learning outcome will be assessed in the following items:
CLO1: Design an analytical study using appropriate data and analytical tools.	PLO 1: Business knowledge PLO 2: Problem solving	Team Project Quizzes Final Examination
CLO2: Produce accurate and rigorous analyses from a range of tools using data collected by marketers.	PLO 1: Business knowledge PLO 2: Problem solving	Team Project Quizzes Final Examination
CLO3: Translate analytical outputs into clear insights that are actionable for marketing managers.	PLO 1: Business knowledge PLO 3: Business communication	Team Project Quizzes Final Examination
CLO4: Competently and confidently communicate oral and written marketing analytics findings suitable for internal and external stakeholders.	PLO 3: Business communication	Team Project Final Examination
CLO5: Critically reflect on your collaboration and leadership skills in a team environment.	PLO 4: Teamwork PLO 7: Leadership development	Team Project Critical thinking and reflection

2. Staff Contact Details

Position	Title	Name	Email	Location	Phone	Consultation Times
Lecturer-in-charge	Dr	Songting Dong		Room 3016, Quadrangle Building – Ref E15	–	Tue 14:00 – 14:30 (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

Use of your Webcam and Digital Devices: If you enrol in an online class, or the online stream of a hybrid class, teaching and associated activities will be conducted using Teams, Zoom, or similar a technology. Using a webcam is optional, but highly encouraged, as this will facilitate interaction with your peers and instructors. If you are worried about your personal space being observed during a class, we encourage you to blur your background or make use of a virtual background. Please contact the Lecturer-in-Charge if you have any questions or concerns.

Some courses may involve undertaking online exams for which your own computer or digital devices will be required. Monitoring of online examinations will be conducted directly by University staff and is bound by the University's privacy and security requirements. Any data collected will be handled accordance with UNSW policies and standards for data governance. For more information on how the University manages personal information please refer to the UNSW Student Privacy Statement and the UNSW Privacy Policy.

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. You must complete set tasks and be active in lectures and tutorials, and you must also show initiative by being proactive in your 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.

Teaching format: In 2023 T1, MARK3054 lectures will stay online, and tutorials will mostly come back to face-to-face (F2F) mode (there is one online tutorial with seats reserved for offshore students).

For F2F tutorials not in the computer lab, i.e., not in Quad G021 or Mathews 211, please bring your own laptop. We will have exercises in tutorials that require you to operate on a computer. If you don’t have a laptop for your tutorial use, please choose a tutorial in one of the computer labs (Quad G021 or Mathews 211).

4. Assessment

Formal Requirements

In order to pass this course, you must:

achieve a composite mark of at least 50 out of 100;
meet any additional requirements described in the Assessment Summary section.

You are expected to attempt all assessment requirements in the course.

Assessment Structure

Assessment Task	Weighting	Length	Due Date
#1 Team Project: Research plan	5%	Up to 10 min	Week 5 tutorial
#1 Team Project: Report	19%	Up to 15 pages	Week 10 Monday
#1 Team Project: Presentation (BCom students: myBCom course points for PLO4)	10%	Up to 15 min	Week 10 tutorial
#1 Team Project: Peer Evaluation Participation	1%	N.A.	Week 5 Friday Week 11 Monday
#2 Critical thinking and reflection (BCom students: myBCom course points for PLO7)	10%	Up to 3 pages	Week 11 Monday
#3 Quizzes (BCom students: myBCom course points for PLO2)	20%	30 minutes each	Week 4 Friday Week 7 Friday
#4 Final exam	35%	90 minutes	Exam Period
Total	100%	–	–

Assessment Summary

#1 Team Project (35% in all)

The team project is to be done in groups of up to 5 people from the same tutorial. This project provides you with an opportunity to take your knowledge and skills of the marketing analytics learnt in the course and apply them to a real marketing problem. As such it is inextricably linked to all learning outcomes (LO1 ~ LO5).
Detailed instructions for the team project will be posted on Moodle by the end of Week 1.

Research plan (5%)

The project takes two steps to develop: research plan and final product.
You need to start to plan your project early. Each time after learning a new analytical tool in this course, you should revisit this plan and ask yourself: can I use the new tool to solve the research questions, or provide a better solution?
As a starting point, your team will present your brief research plan in Week 5 tutorial. Your tutor will give you feedback to help you improve.
A soft copy of your presentation slides is due by 16:00 on 13 Mar (Week 5 Mon), to be submitted on Moodle.

Report (19%)

The final report will provide insights into the marketing problem, i.e. your findings and suggestions. This will entail you applying a range of analytical tools to the data to provide information on the research objectives and writing a concise, yet insightful overview of what you found.
A soft copy is due by 16:00 on 17 Apr (Week 10 Mon), to be submitted on Moodle.

Presentation (10%)

Each team will present their findings during the tutorials in Week 10 tutorial. The presentation should not exceed 15 minutes in length and is worth 10% of the course scores.
These 10% marks consist of two parts, 5% for team performance and 5% for individual performance. Each student needs to present for around 3 minutes. To mark your individual presentation performance better, your presentation will be video recorded by the tutor.
As a general guide, your presentation should include the main parts of your project – and that you feel best highlight your findings and suggestions.
A soft copy of your presentation slides is due by 16:00 on 17 Apr (Week 10 Mon), to be submitted on Moodle.

Peer Evaluation of Teamwork (1%)

To reflect your contribution in the teamwork, peer evaluations will be implemented in this course.
In Week 5, you will informally evaluate your group members, by 16:00 on 17 Mar (Week 5 Fri). Your team should reflect on your cooperation experience till then, discuss and address problems appeared in the first half of your teamwork.
In Week 10, you will formally evaluate your group members, by 16:00 on 24 Apr (Week 11 Mon). As a standardised procedure, each student’s contribution score will be the average of the points received from their group members. Adjustments to individual marks will occur where a student’s peer evaluation score falls below an acceptable level.
You will receive 1% participation mark if you complete both evaluation tasks in time (0.5% each).

#2 Critical Thinking and Reflection (10%)

Critical thinking and reflection is an individual report that has two components.
Component 1 (5%) requires you to reflect on a business context, analyze the situation, and provide well-justified suggestions, on how marketing analytical tools can help address a realistic marketing problem.
Component 2 (5%) requires you to reflect on the learning journey throughout the teamwork. The purpose is to assist with cultivating reflective leaders who are (1) enterprising, innovative and creative; (2) collaborative team workers; (3) professionals who are capable of independent, self-directed practice.
This task is due by 16:00 on 24 Apr (Week 11 Mon). Detailed instructions for this assessment will be posted on Moodle by the end of Week 1.

#3 Quizzes (20%)

There are two online quizzes on Week 4 Friday (10 Mar) and Week 7 Friday (31 Mar). Each quiz takes 30 minutes to complete and is worth 10% of the course marks. They need to be completed within a 24-hour time window on Moodle. You will be asked to implement your knowledge and skills to address small-scale analytical problems (tied to learning outcomes LO1, LO2, and LO3). Some of the questions may require you to operate statistical software and find out the results. Instructions for the quizzes will be available on Moodle by the end of Week 1.

#4 Final Exam (35%)

The final online exam will take place in the formal examination period at the end of the session. It takes 90 minutes to complete, and needs to be completed within a 24-hour time window on Moodle. Instructions for the final exam will be available on Moodle by the end of Week 1.
The exam is designed to provide an individual assessment of the depth of your knowledge of the analytical tools and your competence in explaining their meaning and using them to address marketing problems (tied to learning outcomes LO1, LO2, LO3 and LO4).

Assignment Submission Procedure

Students are advised to keep a copy of all work submitted for assessment and to keep their returned marked assignments. Submission procedures for all assessment tasks will be made available on Moodle at least 2 weeks prior to the assessment date.

Assessment Feedback

Feedback on student performance from formative and summative assessment tasks will be provided to students in a timely manner. Assessment tasks completed within the teaching period of a course, other than a final assessment, will be assessed and students provided with feedback, with or without a provisional result, within 10 working days of submission, under normal circumstances. Feedback on continuous assessment tasks (e.g. laboratory and studio-based, workplace-based, weekly quizzes) will be provided prior to the midpoint of the course.

Special Consideration

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, including online exams. Students studying remotely who have exams scheduled between 10pm and 7am local time, are also able to apply for special consideration to sit a supplementary exam at a time outside of these hours.

Special consideration is primarily intended to provide you with an extra opportunity to demonstrate the level of performance of which you are capable. To apply, and for further information, see Special Consideration on the UNSW Current Students page.

Special consideration applications will be assessed centrally by the Case Review Team, who will update the online application with the outcome and add any relevant comments. The change to the status of the application immediately sends an email to the student and to the assessor with the outcome of the application.

Please note the following:

Applications can only be made through Online Services in myUNSW. Applications will not be accepted by teaching staff. The lecturer-in-charge/course coordinator will be automatically notified when your application is processed.
Applying for special consideration does not automatically mean that you will be granted a supplementary exam or other concession.
If you experience illness or misadventure in the lead up to an exam or assessment, you must submit an application for special consideration, either prior to the examination taking place, or prior to the assessment submission deadline, except where illness or misadventure prevent you from doing so.
If your circumstances stop you from applying before your exam or assessment due date, you must apply within 3 working days of the assessment or the period covered by your supporting documentation.
Under the UNSW Fit To Sit/Submit rule, if you sit the exam/submit an assignment, you are declaring yourself well enough to do so and are cannot subsequently apply for special consideration.
If you become unwell on the day of – or during – an exam, you must stop working on your exam, advise your course coordinator or tutor and provide a medical certificate dated within 24 hours of the exam, with your special consideration application. For online exams, you must contact your course coordinator or tutor immediately via email, Moodle or chat and advise them you are unwell and submit screenshots of your conversation along with your medical certificate and application.
Special consideration requests do not allow the awarding of additional marks to students.

Further information on Business School policy and procedure can be found under “Special Consideration” on the Policies and Support page.

Late Submission Penalties

For assessments other than examinations, late submission will incur a penalty of 5% per day or part thereof (including weekends) from the due date and time. An assessment will not be accepted after 5 days (120 hours) of the original deadline unless special consideration has been approved. An assignment is considered late if the requested format, such as hard copy or electronic copy, has not been submitted on time or where the ‘wrong’ assignment has been submitted.

For assessments which account for 10% or less of the overall course grade, and where answers are immediately discussed or debriefed, the LIC may stipulate a different penalty. Details of such late penalties will be available on the course Moodle page.

Protocol for Viewing Final Exam Scripts

UNSW students have the right to view their final exam scripts, subject to a small number of very specific exemptions. The UNSW Business School has set a protocol under which students may view their final exam script. Individual schools within the Faculty may also set up a local process for viewing final exam scripts, so it is important that you check with your School. Further school-specific information may be included below.

School specific information: the same as the UNSW Business School protocol.

Quality Assurance

The Business School is actively monitoring student learning and quality of the student experience in all its programs. A random selection of completed assessment tasks may be used for quality assurance, such as to determine the extent to which program learning goals are being achieved. The information is required for accreditation purposes, and aggregated findings will be used to inform changes aimed at improving the quality of Business School programs. All material used for such processes will be treated as confidential.

5. Course Resources

Course Website

The website for this course is on Moodle at: http://moodle.telt.unsw.edu.au

Lecture Recording

Both lectures and tutorials will be recorded. But please keep in mind that the recordings are for review purpose only, and they are not meant to replace the class attendance. The record setting and quality do not guarantee to fully replicate the lectures or tutorials, and the interactions in the class will not be possible in the recording.

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 or online 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.

Implementing analytics in marketing strategies

Marketing Strategy by Robert W. Palmatier and Shrihari Sridhar. Published in 2017, by Palgrave.
The book provides insights on how analytics are utilised in marketing strategies. There are many books on marketing strategies, but this book relates marketing strategies to analytics.

Multivariate statistics

Multivariate Data Analysis (7th Edition) by Hair et al. Published in 2010, by Pearson Education, Inc.
This book provides you with more details on multivariate statistics. It is one example of such books. Many books named Multivariate Data Analysis will do the same too.

Big data analytics

Big Data: A Revolution that Will Transform How We Live, Work, and Think, by Viktor Mayer-Schönberger and Kenneth Cukier. Published in 2013, by Eamon Dolan / Houghton Mifflin Harcourt. This book is a good source to get a first understanding of big data.
Big Data in Practice, by Bernard Marr. Published in 2016, by John Wiley and Sons Ltd. This book provides 45 successful examples of companies using big data analytics to achieve extraordinary success. It is a good source to get a sense of how big data is used in business practice nowadays.
Machine Learning with R (by Brett Lantz), Mastering Predictive Analytics with R (by Rui Miguel Forte), Mastering Social Media Mining with R (by Sharan Kumar Ravindran and Vikram Garg). These books are examples of technical books on how to use R to conduct big data analyses.

Excel resources

Real Statistics Using Excel: http://www.real-statistics.com/. 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).

R resources

The R book, by Michael J. Crawley. Published in 2012, by Wiley. One of the best-selling statistics book and R book. A very good introduction and handbook of R.
R for Marketing Research and Analytics, by Chris Chapman and Elea McDonnell Feit. Published in 2015 by Springer. This book shows you how to use R to address many analytical needs in marketing.

Software learning

LinkedIn Learning has a number of online courses including many for Excel and R.
Free to UNSW students: https://www.myit.unsw.edu.au/services/staff/educational-technology/linkedin-learning
YouTube.com has plenty of tutorials for Excel and R as well, at various levels. You can use them as a systematic learning tool (e.g., an R course with a series of organized tutorials), or search for a question you have with Excel or R. Many times, a solution to your question is just there, waiting for you to discover.

Essay writing guide

Q Manual: https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwjBybGjmLHwAhU5yzgGHYVDA_4QFjAAegQIAxAD&url=https%3A%2F%2Fwww.monash.edu%2F__data%2Fassets%2Fpdf_file%2F0005%2F506345%2Fqmanual.pdf&usg=AOvVaw05OzXoDXXBVBIk8jObKeRa (or search “Q Manual” on Google)
This is a good guide for your essay writing. It also provides a referencing style guide.

6. Course Evaluation & Development

Feedback is regularly sought from students and continual improvements are made based on this feedback. At the end of this course, you will be asked to complete the myExperience survey, which provides a key source of student evaluative feedback. Your input into this quality enhancement process is extremely valuable in assisting us to meet the needs of our students and provide an effective and enriching learning experience. The results of all surveys are carefully considered and do lead to action towards enhancing educational quality.

Based on feedback from previous students, we organize various analytical tools around daily marketing problems to demonstrate how these tools can help address practical problems that they will face. On top of classical marketing analytics, we spend a fair amount of time to discuss analytical tools and implementations regarding digital marketing and big data, to help our students thrive in the big data world.

Since students found the group project an excellent learning tool, we create the group project using a real marketing context and real marketing problems. Moreover, we use exercises such as research plan feedback and informal peer evaluation to provide timely support during the procedure.

Previous feedback suggests that lecture recording is desirable for review purposes and in the cases of occasionally lecture missing. It is well-heard, and lectures are recorded. We also learned from previous students that Zoom works better than Blackboard Collaborate Ultra as the online delivery platform. Both lectures and online tutorials are now on Zoom.

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

Note: for more information on the UNSW academic calendar and key dates including study period, exam, supplementary exam and result release, please visit: https://student.unsw.edu.au/new-calendar-dates

Week	Activity	Topic	Assessment/Other
Week 1: 13 Feb	Lecture	Introduction to marketing analytics	–
Week 1: 13 Feb	Tutorial	[NO TUTORIAL]	–
Week 2: 20 Feb	Lecture	Consumer preference elicitation	–
Week 2: 20 Feb	Tutorial	Basic stats review	–
Week 3: 27 Feb	Lecture	Conjoint analysis	–
Week 3: 27 Feb	Tutorial	Preference elicitation	–
Week 4: 6 Mar	Lecture	Customer lifetime value estimation	–
Week 4: 6 Mar	Tutorial	Conjoint analysis CLV calculation	Quiz 1
Week 5: 13 Mar	Lecture	Segmentation techniques	–
Week 5: 13 Mar	Tutorial	Research plan discussion	Research plan Peer evaluation (informal)
Week 6: 20 Mar	Lecture	[NO LECTURE, Flexibility week]	–
Week 6: 20 Mar	Tutorial	[NO TUTORIAL, Flexibility week]	–
Week 7: 27 Mar	Lecture	Pricing models	–
Week 7: 27 Mar	Tutorial	Segmentation techniques Pricing models	Quiz 2
Week 8: 3 Apr	Lecture	Advertising models	–
Week 8: 3 Apr	Tutorial	Advertising models	–
Week 9: 10 Apr	Lecture	Extended analytical tools	–
Week 9: 10 Apr	Tutorial	[NO TUTORIAL]	–
Week 10: 17 Apr	Lecture	Big data mechanism	–
Week 10: 17 Apr	Tutorial	Presentation	Final report Presentation
Week 11: 24 Apr	Assignment	[NO LECTURE or TUTORIAL]	Critical thinking and reflection Peer evaluation
Exam Period:	Exam	[Exam time to be determined]	Final exam

8. Policies and Support

Information about UNSW Business School program learning outcomes, academic integrity, student responsibilities and student support services. For information regarding special consideration, supplementary exams and viewing final exam scripts, please go to the key policies and support page.

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. For PG Research PLOs, including Master of Pre-Doctoral Business Studies, please refer to the UNSW HDR Learning Outcomes

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.

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 Capabilities	Business 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 Services team.

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 ten to twelve hours per week studying for a course except for Summer Term courses which have a minimum weekly workload of twenty to twenty four 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 and Engagement

Your regular attendance and active engagement in all scheduled classes and online learning activities is expected in this course. Failure to attend / engage in assessment tasks that are integrated into learning activities (e.g. class discussion, presentations) will be reflected in the marks for these assessable activities. The Business School may 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.). If you are not able to regularly attend classes, you should consult the relevant Course Authority.

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.

Student Support and Resources

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

Business School Learning Support Tools
Business School provides support a wide range of free resources and services to help students in-class and out-of-class, as well as online. These include:

Academic Communication Essentials – A range of academic communication workshops, modules and resources to assist you in developing your academic communication skills.
Learning consultations – Meet learning consultants who have expertise in business studies, literacy, numeracy and statistics, writing, referencing, and researching at university level.
PASS classes – Study sessions facilitated by students who have previously and successfully completed the course.
Educational Resource Access Scheme – To support the inclusion and success of students from equity groups enrolled at UNSW Sydney in first year undergraduate Business programs.

The Nucleus - Business School Student Services team
The Nucleus Student Services team provides advice and direction on all aspects of enrolment and graduation. Level 2, Main Library, Kensington 02 8936 7005 / https://nucleus.unsw.edu.au/en/contact-us

Business School Equity, Diversity and Inclusion
The Business School Equity, Diversity and Inclusion Committee strives to ensure that every student is empowered to have equal access to education. The Business School provides a vibrant, safe, and equitable environment for education, research, and engagement that embraces diversity and treats all people with dignity and respect. BUSEDI@unsw.edu.au

UNSW Academic Skills
Resources and support – including workshops, individual consultations and a range of online resources – to help you develop and refine your academic skills. See their website for details.
academicskills@unsw.edu.au

Student Support Advisors
Student 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.
John Goodsell Building, Ground Floor.
advisors@unsw.edu.au
02 9385 4734

International Student Support
The International Student Experience Unit (ISEU) is the first point of contact for international students. ISEU staff are always here to help with personalised advice and information about all aspects of university life and life in Australia.
Advisors can support you with your student visa, health and wellbeing, making friends, accommodation and academic performance.
International.student@unsw.edu.au
02 9385 4734

Equitable Learning Services
Equitable Learning Services (formerly Disability Support Services) is a free and confidential service that provides practical support to ensure that your health condition doesn't adversely affect your studies. Register with the service to receive educational adjustments.
Ground Floor, John Goodsell Building.
els@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

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 9065 9444

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).
02 9385 1333

Support for Studying Online

The Business School and UNSW provide a wide range of tools, support and advice to help students achieve their online learning goals.

The UNSW Guide to Online Study page provides guidance for students on how to make the most of online study.

We recognise that completing quizzes and exams online can be challenging for a number of reasons, including the possibility of technical glitches or lack of reliable internet. We recommend you review the Online Exam Preparation Checklist of things to prepare when sitting an online exam.

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Accreditation

MARK3054 Marketing Analytics and Big Data - 2023

Browse archives for this course

1. Course Details

Summary of Course

Teaching Times and Locations

Course Policies & Support

Course Aims and Relationship to Other Courses

Student Learning Outcomes

2. Staff Contact Details

Communication with staff

3. Learning and Teaching Activities

Approach to Learning and Teaching in the Course

Learning Activities and Teaching Strategies

4. Assessment

Formal Requirements

Assessment Structure

Assessment Summary

#1 Team Project (35% in all)

Research plan (5%)

Report (19%)

Presentation (10%)

Peer Evaluation of Teamwork (1%)

#2 Critical Thinking and Reflection (10%)

#3 Quizzes (20%)

#4 Final Exam (35%)

Assignment Submission Procedure

Assessment Feedback

Special Consideration

Protocol for Viewing Final Exam Scripts

Quality Assurance

5. Course Resources

Course Website

Lecture Recording

Prescribed Textbook

Other Resources

Marketing research handbook

Implementing analytics in marketing strategies

Multivariate statistics

Big data analytics

Excel resources

R resources

Software learning

Essay writing guide

6. Course Evaluation & Development

7. Course Schedule

8. Policies and Support

UNSW Graduate Capabilities

Plagiarism

Cheating

Workload

Attendance and Engagement

General Conduct and Behaviour

Health and Safety

Keeping Informed

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