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Overview

Course Prescription

Develops customer and market insight capabilities through the use of machine learning applications such as prospect selection, churn modelling, customer segmentation and attribution modelling. Focuses on the use of CRM data and explores the contributions that survey data can make. Explores campaign management and other aspects of implementing the results of analytical projects.

Course Overview

The course focuses on using a multitude of practical analytical techniques to help identify, understand, and prescribe to, business problems and opportunities. Generating and using customer and market insights is a core competency for every business. The effectiveness of decisions depends on the quality of data available (both qualitative and quantitative), analysis of the data and subsequently drawing strategic inferences based on rigorous methodologies. This course will focus on how decisions are supported by analytical techniques, information assimilation and model driven implementation. 

The course focuses on unpacking customer and market insight concepts, ideas, processes and methods. Subsequently, we will introduce learners to statistical tools and marketing models, processes and solutions to unearth analytical insights to solve business problems and identify business opportunities.

We will deal with applications of decision modelling tools to address such marketing issues as – customer choice and behavioural predictions, segmentation, targeting and positioning, product development and performance over time, pricing, budgeting as well as network and sentiment analysis. The eventual goal is not only to learn the techniques, but also how information obtained can be applied in marketing decision analytics in the context of practical business situations. The scope will range from qualitative to quantitative analyses that are frequently used simultaneously to support the challenges encountered in real life.

Through lectures and lab tutorials, learners will acquire the concepts, methods and skills to generate and use insights to support marketing decision making. The course is designed for those who want to pursue a career in conventional marketing strategies, specially focused in the marketing analytics for decision making. You will learn the theories, concepts and terminology used by marketing experts and master methodological tools to obtain a competitive advantage in the business world.

Unlike conventional marketing courses that focus on conceptual material, this course will attempt to provide skills to translate conceptual understanding into specific operational plans – a skill in increasing demand in organizations today. Once you have knowledge of the marketing analytics models and statistical tools, we will use simulated market scenarios and related quantitative modelling methods tied to a computer software to develop marketing strategies in various decision contexts. The software tools will enable you to apply the methods and analytical models taught in the course to real world marketing challenges.

Workload Expectations

This course is a standard 15-point course and students are expected to spend 15 hours per week on each course.

Each week the class will meet in class for two hours and then for two more in the computer labs. Class time will be used for a combination of lectures, exercises and applied discussions. In addition to attending classes and labs, students should be prepared to spend about another ten hours per week on activities related to this course. These activities include carrying out the readings and class preparation activities, answering the quizzes preparing individual assignment and the final group project. The course as a whole represents approximately 150 hours of study.

Course Prerequisites, Corequisites and Restrictions

Prerequisite

Locations and Semesters Offered

LocationSemester
City
City

Teaching and Learning

Campus Experience

Attendance is required at scheduled activities including labs to receive credit for components of the course.
Lectures will be available as recordings. Other learning activities including labs will be available as recordings.
The course will include live events including group discussions/tutorials.
Attendance on campus is required for the quizzes.
The activities for the course are scheduled as a standard weekly timetable.

Learning Resources

Taught courses use a learning and collaboration tool called Canvas to provide students with learning materials including 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.

Copyright

The content and delivery of content in this course are protected by copyright. Material belonging to others may have been used in this course and copied by and solely for the educational purposes of the University under license. You may copy the course content for the purposes of private study or research, but you may not upload onto any third-party site, make a further copy or sell, alter or further reproduce or distribute any part of the course content to another person.

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.

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 for potential plagiarism or other forms of academic misconduct, using computerised detection mechanisms.

Similarly, research students must meet the University’s expectations of good research practice. This requires:

  • Honesty - in all aspects of research work
  • Accountability - in the conduct of research
  • Professional courtesy and fairness – in working with others
  • Good stewardship – on behalf of others
  • Transparency – of research process and presentation of results
  • Clarity - communication to be understandable, explainable and accessible

For more information on the University’s expectations of academic integrity, please see the Academic Conduct section of the University policy hub.

Disclaimer

Elements of this outline may be subject to change. The latest information about taught courses is made available to enrolled students in Canvas.

Students may be asked to submit assessments digitally. The University reserves the right to conduct scheduled tests and examinations 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.


Assessment and Learning Outcomes

Course Learning Outcomes

CLO #OutcomeProgramme Capability Link
1
2
3
4
5

Assessments

Assessment TypeAssessment PercentageAssessment Classification

Assessment to CLO Mapping

Assessment Type12345

Student Feedback, Support and Charter

Student Feedback

Feedback on taught courses is gathered from students at the end of each semester 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. In addition, class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

Additional Information on Student Feedback

In response to student feedback from previous iterations, the course is redeveloped to provide material that is more in line with other courses in the Masters of Business Analytics programme. This is to provide a more holistic and well-rounded set of skills that is traceable across the course. This allows for the compounding of reiterative and progressive learning that results in a more integrated set of marketing decision making understanding and analytical skills. An example of such change that allows for cross-course integrity is the use of effective and compelling lecturers that binds academic theory with practical industry-related problem solving. A further consolidation of content with industry standards and best practices further accentuates the value of the course in its time.

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.

Tuākana

Tuākana is a multi-faceted programme for Māori and Pacific students providing topic specific tutorials, one-on-one sessions, test and exam preparation and more. Explore your options at Tuakana Learning Communities.

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.

Wellbeing

We all go through tough times during the semester, or see our friends struggling. There is lots of help out there - please see the Support Services page for information on support services in the University and the wider community.

Special Circumstances

If your ability to complete assessed work 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. This should be done as soon as possible and no later than seven days after the affected test or exam date.

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.

Student Academic Complaints and Disputes

Students with concerns about teaching including how a course is delivered, the resources provided, or supervision arrangements, have the right to express their concerns and seek resolution. The university encourages informal resolution where possible, as this is quicker and less stressful. For information on the informal and formal complaints processes, please refer to the Student Academic Complaints Statute in the Student Policies and Guidelines section of the Policy Hub.