COMM5011 Data Analysis for Business

Subject Code

COMM5011

Study Level

Postgraduate

Commencing Term

Term 3

Total Units of Credit (UOC)

Delivery Mode

On Campus and Online

School

Economics

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This course outline is provided in advance of offering to guide student course selection. Please note that while accurate at time of publication, changes may be required prior to the start of the teaching session. To view other versions, visit the archives .

1. Course Details

Summary of Course

This course provides an introduction to basic analytical skills. It provides a solid basis from which data analysis techniques and tools can be applied to solve business problems. There is an emphasis on problem solving and business analytics by both manual and digital methods. The first half of the course will focus on the use of quantitative methods and techniques. The second half of the course will focus on the use of qualitative research methods and techniques.

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

This course is offered as one of the Data Analysis alternatives in the core of the MCom degree. It aims to develop students’ ability to analyse qualitative and quantitative business data for operations and management purposes. It is designed for students with little or no qualitative or quantitative training in their postgraduate degree but who need to develop these skills for specialisations in the areas of Marketing, Information Systems and Human Resource Management. The skills learned are also relevant for broader specialisations including project management and business decision making. Students wishing to complete a specialisation such as Finance, Economics or Accounting - where more in-depth quantitative skills may be required - will usually find COMM5005 or ECON5248 more appropriate as their Data Analysis core course.

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 for all students. More information on coursework PLOs is available under Policies and Support. PLOs are, in turn, directly linked to UNSW graduate capabilities and the aspiration to develop “globally focussed graduates who are rigorous scholars, capable of leadership and professional practice in an international community”.

For PG research PLOs please refer to the UNSW HDR Graduate Attributes and LearningOutcomes.

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:
1. Apply techniques for preliminary analysis of qualitative data along with further exploring, explaining and predicting.	PLO 1: Business knowledge	Qualitative Tutorial Activities Final Exam
2. Use and interpret descriptive and inferential statistics for quantitative data	PLO 1: Business knowledge	Quantitative Tutorial Activities Final Exam
3. Analyse, develop and frame business problems.	PLO 2: Problem solving PLO 5: Responsible business practice PLO 7: Leadership development	Qualitative Tutorial Activities Quantitative Tutorial Activities
4. Draw, verify and evaluate the quality of conclusions and produce a business report.	PLO 3: Business communication PLO 5: Responsible business practice	Qualitative Tutorial Activities Quantitative Tutorial Activities
5. Explain the key issues of business data analysis and communicate ideas in a succinct and clear manner.	PLO 3: Business communication PLO 5: Responsible business practice PLO 7: Leadership development	Qualitative Tutorial Activities Quantitative Tutorial Activities Final Exam
6. Compare and contrast qualitative and quantitative methods and the information gathered from each and interpret output from analysis by themselves and with others.	PLO 4: Teamwork	Qualitative Tutorial Activities Quantitative Tutorial Activities Final Exam
7. Evaluate the range of ethical issues confronting individuals when collecting and reporting data.	PLO 5: Responsible business practice	Qualitative Tutorial Activities Quantitative Tutorial Activities Final Exam
8. Evaluate the range of cultural and social issues confronting individuals when collecting and reporting data.	PLO 6: Global and cultural competence	Qualitative Tutorial Activities Quantitative Tutorial Activities Final Exam

2. Staff Contact Details

Position	Title	Name	Email	Location	Phone	Consultation Times
Lecturer-in-charge	Dr	Fabio Franch		UNSW Business School E12	02 9348 0896	Wednesdays 8-9pm (online), or by appointment (Microsoft Teams)
Lecturer	Ms	Roxanne Llamzon		UNSW Business School E12	Contact via Microsoft Teams	Wednesdays 8-9 pm (AEST, online) or by appointment (via Microsoft Teams)

Communications with staff

You should feel free to contact your lecturer about any academic matter. However, for efficiency, all enquiries about the subject material should be made at lectures or tutorials or during consultation time. Discussion of course subject material will not be entered into via lengthy emails.

Student Enrolment Requests

Students can vary their own enrolment (including switching lecture streams or tutorials) via myUNSW until the end of Week 1. In general, most other student enrolment requests should be directed to The Nucleus: Student Hub (formerly Student Central). These include enrolment in full courses or tutorials, course timetable clashes, waiving prerequisites for any course, transfer-of-credit (international exchange, transfer to UNSW, cross-institutional study, etc.), or any other request which requires a decision about equivalence of courses and late enrolment for any course. Where appropriate, the request will be passed to the School Office for approval before processing. Note that enrolment changes are rarely considered after Week 2 classes have taken place.

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 aims to develop your ability to analyse business data, which comes in both text-based and numerical forms, and build your skills in decision making within a business context. It also seeks to prepare you for further MCom courses which require the use of data analysis skills. You will learn how to use relevant software, tools and techniques to carry out this analysis.

Our approach to teaching this course is to give you opportunities to think and analyse like a business person. You will need to be open to:

Thinking about how different types of businesses use data

Trying a variety of data gathering and analysis techniques

Discussing methods and results with your peers

Explaining your findings to others - via reports or presentations

Learning Activities and Teaching Strategies

The lectures will introduce you to the sources and uses of data in a business situation and demonstrate a number of approaches using case studies and other practical examples. The lectures will introduce techniques for both qualitative and quantitative data analysis. They will be interactive, with opportunities for you to participate and ask questions.

You will further develop your understanding of techniques introduced in lectures by thorough preparation and active participation in seminars/labs. The focus of seminars/labs will be on the discussion of methods and output with an emphasis on real-life scenarios and case studies. There will be opportunities for you to engage with others through group discussion and oral presentations so that different viewpoints can be thoroughly explored. See Moodle for each week’s seminar/lab materials to prepare.

Arrangements for the first five weeks (weeks 1 to 5) of the term, which cover quantitative methods:

1. Lectures: Pre-prepared video recordings for the lectures will be placed on the Moodle site. Students should view these videos and related materials in their own time. It is expected that it will take students at least two and a half hours to view and review these recordings each week. The timetabled lecture time for the first half of the course is Wednesday 6-8pm. The first 60 minutes of this time (i.e., 6:00-7:00 pm) will be used to view the recordings. There will then be a one-hour online session with the lecturer, from 7:00 to 8:00 pm, in which the lecturer will go through the material in more detail, provide extra examples and answer questions. This will be followed by an hour of online consultation time (8:00-9:00pm), where the lecturer will be available to answer any further questions. In total, it is expected that students will spend three hours per week on the lecture materials (two hours viewing and reviewing the recorded videos, plus one hour online with the lecturer, 7:00-8:00pm on Wednesdays). The one hour online session will be recorded and shared with students after this session.

2. Seminars: There is a one-hour seminar each week. Seminars will be either online or in person.

Arrangements for last five weeks (weeks 6 to 10) of the term, which cover qualitative methods:

1. Lectures: Lecture slides will be uploaded on the course Moodle site. All the lecture slides will have notes pages or speaker notes. It is expected that students will take an hour to view and review these slides and any other recommended materials (readings/videos) before coming to class. An interactive online session is scheduled for Wednesdays 6:00pm-8:00pm (AEST) followed by a consultation hour (8:00pm-9:00pm AEST). The lecturer for this half of the course will hold a live interactive lecture on Microsoft Teams presenting the key points of the slides, and answer any questions that may arise from students’ initial review of the lecture slides. This lecture session will also be recorded for the benefit of students who need to leave early or could not attend the session.

2. Labs: There is a one hour lab each week. Labs will be held either on campus or online. Tutors will come into the live interactive session on campus or via Microsoft Teams to carry out demonstrations of NVivo, an application that is widely-used for coding qualitative data. The tutor will walk through useful features of the application based on examples of how qualitative studies have been conducted.

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
Quantitative Seminar Activities	25%	5% Quantitative Seminar Activities 20% Quantitative Assignments (Seminar Assignments)	Ongoing (Week 1 to Week 5) Seminar assignment on Week 2 material to be submitted for assessment by 2pm on Thursday of Week 3 (29 Sept 2022). Seminar assignment on Week 4 material to be submitted for assessment by 2pm on Thursday of Week 5 (13 Oct 2022).
Qualitative Lab Activities	25%	5% Quizzes 20% Qualitative Assignment (Group Assignment)	Week 7 to Week 9 (will take place in the first 15 minutes of lecture). Recorded presentation to be submitted by 4:00 pm (AEST) on Monday of Week 11 (Study Period, 21-Nov-22).
Final Exam	50%	Take-home exam	University Exam Period
Total	100%	-	-

Assessment Summary

As a student at UNSW you are expected to display academic integrity in your work and interactions. Where a student breaches the UNSW Student Code with respect to academic integrity, the University may take disciplinary action under the Student Misconduct Procedure. To assure academic integrity, you may be required to demonstrate reasoning, research and the process of constructing work submitted for assessment.

To assist you in understanding what academic integrity means, and how to ensure that you do comply with the UNSW Student Code, it is strongly recommended that you complete the Working with Academic Integrity module before submitting your first assessment task. It is a free, online self-paced Moodle module that should take about one hour to complete.

You are expected to complete all assessment tasks. Classes are highly practical and relevant to your assessments, so you are expected to attend at least 80% of all scheduled classes.

Quantitative Seminar Activities (25%) [Weeks 1-5]

Every week students will be presented with a set of homework problems they need to solve in order to prepare for the following week’s seminar. Two of these assignments (due in Week 3 and Week 5, respectively) will be submitted for assessment. Submission will be via a link on the course Moodle site, with a deadline of 2pm on the Thursday of each of Weeks 3 and 5. Each assignment will be worth 10% of the marks for the course (total of 20%). In addition, 5% of the mark for this assessment component will be allocated for attendance and class participation.

Qualitative Lab Activities (25%) [Weeks 6-10]

For the first qualitative assessment (5%), a set of 3 quizzes comprised of multiple-choice questions (MCQ) will be assessed as part of your continued learning of qualitative analysis techniques. Only the best 2 results out of the 3 quizzes will count towards the final mark for this component. Each quiz will be worth 2.5% of the marks for the course (total of 5%). The quizzes will take place in the first 15 minutes of the lecture class in Weeks 7 to 9.

The second assignment will be applied work and students will work in groups of 3-4 members. The assignment will help students to appreciate how qualitative research is carried out using NVivo, a qualitative data analysis software. Each group will need to create a recorded presentation of a maximum of 12 minutes, and no more than 12 PowerPoint slides. The recorded presentation is to be saved as an MP4 video format.

Each group’s members are required to complete a team contract and a peer assessment for the assignment. The team contract will outline the responsibilities of each group member and the peer assessment will be used to assess the quality of each member’s teamwork and individual contribution to the assignment. In the event of a big discrepancy between the peer assessment marks earned by students in a group, the assignment mark allocated to each person will be weighted by the average peer assessment earned by the student. Details about the procedure of the peer assessment (including the threshold of discrepancy) will be made available via Moodle.

Further information about the assignment will be uploaded to the course website.

Final Exam (50%)

The Final Exam will be administered via Moodle and will be a 24-hour take-home exam. It should take no more than 3 hours (including reading time and time for compiling your answers) for a well-prepared student to complete the exam. Students may be required to sign an honour declaration to state the work is theirs alone (except where formally and appropriately acknowledged).

Further details will be provided on Moodle and in lectures closer to the end of term.

Assignment Submission Procedure

Quantitative Seminar Assignments: Submission will be via a link on the course Moodle site, with a deadline of 2pm on the Thursday of the week the assignment is due.

Qualitative Lab Assignments: Submission will be via a link on the course Moodle site, with a deadline of 4pm on the Monday of the week the assignment is due.

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

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.

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 UNSW Moodle.

(1) The prescribed textbook for the quantitative component of this course (first half of the term weeks 1 to 5) is:

Basic Business Statistics: Concepts and Applications, Berenson, M., Levine, D., Szabat, K., O'Brien, M., Watson, J. and Jayne, N. 5th Edition

Publisher: Pearson Australia

Printed Copies: The UNSW Bookshop will have print copies on the shelf – you can order online from the Bookshop if you can’t get to campus – https://www.bookshop.unsw.edu.au/details.cgi?ITEMNO=9781488617249

Digital Version: The UNSW Bookshop can also supply digital copies at: https://unswbookshop.vitalsource.com/products/-v9781488620201

(2) The prescribed textbook for the qualitative component of this course (second half of the term weeks 6 to 10) is:

Corbin, J., & Strauss, A. (2008). Basics of qualitative research (3rd ed.): Techniques and procedures for developing grounded theory. SAGE Publications, Inc.

Digital Version: You can view and download a digital copy from the UNSW library:

https://methods-sagepub-com.wwwproxy1.library.unsw.edu.au/book/basics-of-qualitative-research

For the qualitative component of this course (second half of the term), you will be provided with electronic copies of relevant readings compiled specially for this course. Links to additional and suggested readings will be provided on Moodle.

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.

The School of Economics strives to be responsive to student feedback. If you would like more information on how the design of this course and changes made to it over time have taken students’ needs and preferences into account, please contact the Director of Education at the School of Economics.

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 end-of-term myExperience evaluations.

Consent for De-Identified Data to be Used for Secondary Research into Improving Student Experience

To enhance your student experience, researchers at UNSW conduct academic research that involves the use of de-identified student data, such as assessment outcomes, course grades, course engagement and participation, etc. Students of this course are being invited to provide their consent for their de-identified data to be shared with UNSW researchers for research purposes after the course is completed.

Providing consent for your de-identified data to be used in academic research is voluntary and not doing so will not have an impact on your course grades.

Researchers who want to access your de-identified data for future research projects will need to submit individual UNSW Ethics Applications for approval before they can access your data.

A full description of the research activities aims, risks associated with these activities and how your privacy and confidentiality will be protected at all times can be found here.

If you consent to have your de-identified data used for academic research into improving student experience, you do not need to do anything. Your consent will be implied, and your data may be used for research in a format that will not individually identify you after the course is completed.

If you do not consent for this to happen, please email the opt-out form to seer@unsw.edu.au to opt-out from having your de-identified data used in this manner. If you complete the opt-out form, the information about you that was collected during this course will not be used in academic research.

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: 12-Sept-22	A1 - Lecture	Course Introduction - both Quantitative and Qualitative components QUANT: Drawing, verifying and reporting conclusions	Berenson et al. Ch. 1 and Ch. 2.
Week 1: 12-Sept-22	Seminar A1	Statistics exercises	Berenson et al. Ch. 2. Seminar A1: Details on Moodle
Week 2: 19-Sept-22	A2 - Lecture - Quantitative	Describing data	Berenson et al. Ch. 2 and Ch. 3.
Week 2: 19-Sept-22	Seminar A2	Statistics exercises	Seminar A2: Details on Moodle Seminar Assignment 1: Details on Moodle
Week 3: 26-Sep-22	A3 - Lecture - Quantitative	Introduction to regression and probability	Berenson et al. Sections 12.1-12.3 for regression, Ch. 4. and 5.3 for probability Seminar assignment on Week 2 material (Tutorial Assignment 1) to be submitted for assessment by 2pm on Thursday of this week.
Week 3: 26-Sep-22	Seminar A3	Statistics exercises	Seminar A3: Details on Moodle Seminar Assignment 2: Details on Moodle
Week 4: 03-Oct-22	A4 - Lecture - Quantitative	The Normal Distribution and Sampling Distributions	Berenson et al. Sections 6.1-6.4 for normal distributions and 7.1-7.3 for sampling distributions
Week 4: 03-Oct-22	Seminar A4	Statistics exercises	Seminar A4: Details on Moodle Seminar Assignment 3: Details on Moodle
Week 5: 10-Oct-22	A5 - Lecture - Quantitative	Confidence Intervals and Hypothesis Testing	Berenson et al. Section 8.1 for confidence intervals and 9.1-9.3 for hypothesis testing Seminar assignment on Week 4 material (Tutorial Assignment 3) to be submitted for assessment by 2pm on Thursday of this week.
Week 5: 10-Oct-22	Seminar A5	Statistics exercises	Seminar A5: Details on Moodle Seminar Assignment 4: Details on Moodle
Week 6: 17-Oct-22	B1 - Lecture - Qualitative	Introduction to Qualitative Business Research: Purpose, Nature, and Data	Qualitative Readings 1: Details in Moodle
Week 7: 24-Oct-22	B2 - Lecture - Qualitative	Formulating Business Problems for Qualitative Research	Qualitative Readings 2: Details in Moodle In-class quiz during the lecture
Week 8: 31-Oct-22	B3 - Lecture - Qualitative	Qualitative Research Methods 1: Secondary Data Usage, Repertory Grid, and Process Tracing	Qualitative Readings 3: Details in Moodle In-class quiz during the lecture
Week 9: 07-Nov-22	B4 - Lecture - Qualitative	Qualitative Research Methods 2: Case Study (Single and Multiple), Interviewing Techniques, and Narrative Interviews	Qualitative Readings 4: Details in Moodle In-class quiz during the lecture
Week 10: 14-Nov-22	B5 - Lecture - Qualitative	Qualitative Research Methods 3: Ethnography, Focus Groups, and Action Research	Qualitative Readings 5: Details in Moodle
Study Period: 21-Nov-22	–	–	Group assignment due 4:00pm (AEST) on Monday 21-Nov-22.

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

COMM5011 Data Analysis for Business - 2022

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

Communications with staff

Student Enrolment Requests

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

Assignment Submission Procedure

Assessment Feedback

Special Consideration

Protocol for Viewing Final Exam Scripts

Quality Assurance

5. Course Resources

6. Course Evaluation & Development

Consent for De-Identified Data to be Used for Secondary Research into Improving Student Experience

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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