BUSMGT 712 : Principles of Business Analytics

Business and Economics

2022 Quarter Three (1226) (15 POINTS)

Course Prescription

Focuses on fact-based and data driven-decision making in a volatile, uncertain, complex and ambiguous (VUCA) world. Introduces and examines tools and approaches to support decision making through an understanding of data and structured thinking.

Course Overview

This course focuses on descriptive statistics, regression modelling and data analysis using the regression method, with emphasis on business applications. Students completing this course will develop data management and data analysis skills to assist in solving real-world business problems. In particular, the course challenges participants to: establish principles and enhance your critical thinking skills; enrich your data analysis and statistical ability. This course will also introduce you to decision analysis tools and mechanisms, and enhance your computing skills. The course uses a variety of teaching methods including lectures, and experiential learning structured around tutorial and team-based learning sessions. Lab sessions will allow you to test your skills and get feedback on your learning.

Course Requirements

No pre-requisites or restrictions

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement
Graduate Profile: Master of Management

Learning Outcomes

By the end of this course, students will be able to:
  1. Evaluate and select suitable models and quantitative tools to analyse business problems. (Capability 1 and 3)
  2. Apply the skills necessary for the analysis of small to medium data sets of moderate complexity. (Capability 2)
  3. Extract relevant patterns from sets of data to transform into information, and interpret the results effectively. (Capability 3)
  4. Communicate findings, results and recommendations from business analysis models verbally and in a written manner to the audience from a variety of backgrounds. (Capability 4.1 and 4.2)
  5. Apply the concepts, tools and practices including data collection techniques to contribute to the managerial decision-making process. (Capability 1 and 2)

Assessments

Assessment Type Percentage Classification
TBL Group Work 20% Group Coursework
Presentation 10% Group Coursework
Individual Report 20% Individual Coursework
Quizzes 20% Individual Test
Final Test 30% Individual Test
Assessment Type Learning Outcome Addressed
1 2 3 4 5
TBL Group Work
Presentation
Individual Report
Quizzes
Final Test

Workload Expectations

This course is a standard 15 point course and students are expected to spend 15 hours per week involved in each 15 point course that they are enrolled in.

For this course, you can expect 1.5 hours of lectures a week; 2 hours of tutorials; 2 hours of TBL(team-based learning); 2 hours per week of labs which include a quiz; 7. 5 hours of reading, thinking about the content and working on assignments and/or test preparation.

Delivery Mode

Online

Attendance is required at scheduled online activities including labs and tutorials to complete components of the course.
The course will include live online events including group discussions, tutorials and lectures; and these will be recorded.
Attendance on campus is not required for the test.
Where possible, study material will be released progressively throughout the course.
This course runs to the University semester/quarter timetable and all the associated completion dates and deadlines will apply.

Learning Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

1. Evans, J. R. 2019. Business Analytics (3rd edition). Boston, MA: Pearson.
     Note that this can be purchased as an ebook directly from Pearson publishing:
  •      https://www.pearsoned.co.nz/9780135231906

2. (Supplementary Reading) Levine, D.M. & Stephan, D.F. 2015. Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics (3rd edition). Pearson Higher Ed USA.
     Note that this can be purchased as an ebook directly from Pearson publishing:
  •      https://www.pearsoned.co.nz/9780133382662
     Alternatively, you can also purpose the ebook at a cheaper price from Google Play:
  •      https://play.google.com/store/books/details/David_M_Levine_Even_You_Can_Learn_Statistics?id=-olV9Tpq3TMC
  •      https://play.google.com/store/books/details/David_M_Levine_Even_You_Can_Learn_Statistics_and_A?id=5y2tBQAAQBAJ 

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.

Class Representatives

Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website http://disability.auckland.ac.nz

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption, we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and course assessment continues to meet the principles of the University’s assessment policy. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator/director, and if disruption occurs you should refer to the university website for information about how to proceed.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html.

Disclaimer

Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course students may be asked to submit coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. In exceptional circumstances changes to elements of this course may be necessary at short notice. Students enrolled in this course will be informed of any such changes and the reasons for them, as soon as possible, through Canvas.

Published on 09/11/2021 04:27 p.m.