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MICROCREDENTIAL

Business Analytics

With tremendous growth in the amount of data being generated by organisations, governments and society, it’s crucial that the leaders of tomorrow understand the tools required to make evidence-based decisions. Learn the foundational skills of business analytics to improve your decision-making processes and create value for your organisation.

 

 

About this microcredential

Business analytics is concerned with the use of data, quantitative analysis, predictive models and fact-based management, to create value for organisations.

In this microcredential, you will explore the foundations of business analytics and be introduced to the techniques and methods required to undertake practical problems. You will gain the knowledge required to initiate and conduct small scale business analytics projects and professionally communicate your findings to a diverse set of stakeholders.

Key benefits of this microcredential

  • Learn how and why data collection and analysis can improve your understanding of customers, users and/or stakeholders and their interactions with your organisation and its products or services
  • Learn and practice methods to locate, prepare and analyse data to improve your ability to make stronger predictions that achieve business outcomes
  • Develop your ability to communicate the results of a business analytics project.

This microcredential aligns with the 3 credit point subject, Foundations of Business Analytics (26776) in the Master of Business Analytics (C04380), Master of Business Analytics (Extension) (C04379), Master of Professional Practice (C04404) and the Executive Master of Business Administration (C04424).

This microcredential may qualify for recognition of prior learning at this and other institutions.

Who should do this microcredential?

This microcredential is suitable for those in a wide range of industries and occupations across both public and private sectors. It would be beneficial for:

  • Marketing and sales professionals looking to better understand their customer base
  • Leaders looking to better understand the importance and applications of business data analysis in day-to-day or strategic planning
  • Entrepreneurs and those working in start-ups, who want to ensure they are building the correct data gathering and analysis practices into business operations from the outset
  • Information technology professionals, product developers and product managers who want to ensure they are creating strong feedback loops between product users and improvement initiatives.

Price

Full price: $3,077 (GST free)*

Special price: $2,676 (GST free)*

*Price subject to change. Please check price at time of purchase. 

Discounts are available for this course. For further details and to verify if you qualify, please check the Discounts section under Additional course information

Enrolment conditions

COVID-19 response 

Additional course information

Course outline

The following content will be covered during the course:

  • Introduction to business analytics
  • Data exploration
  • Ethical considerations in relation to data
  • Predictive modelling
  • Communication and presentation.

Course delivery

This course is delivered online using a range of resources, self-directed study and live, interactive sessions with the academic. Course content will be presented to participants online in a variety of formats (lecture slides, notes, videos, articles). At the beginning of the unit, participants are expected to review materials and complete tasks on their own before attending the online review sessions with the lecturer (sessions are spread over the period of learning). Materials will be provided via the learning management system, but participants are also expected to seek information independently. Feedback will be given following the formative assessment and during the online sessions.

Course learning objectives

On successful completion of this course, participants should be able to:

  • Explain the background of business analytics
  • Demonstrate methods to locate, prepare and analyse data, in order to make predictions
  • Communicate the results of a business analytics project
  • Relate ethical principles to the collection, storage and use of data by business and government.

Assessment

Assessment task 1 : Business analytics – context and ideation (individual - weight: 40%)

For this assessment task, you will be required to identify an organisation and, through research of the organisation and its industry, identify a problem it faces that could be solved through the use of business analytics. You will then be required to outline the business analytics process (i.e., collecting, storing, managing, analysing and presenting data), including any relevant ethical considerations.

Assessment task 2 : Business analytics – prediction and communication (individual - weight: 60%)

For this assessment task, you will be provided with a business scenario and dataset. You will then be required to use the dataset and apply business analytics techniques in order to generate a comprehensive understanding of the relationship between variables, in response to the identified business problem. You will be required to present these insights in a clear and effective manner.

Participants must achieve at least 50% of the course’s total marks to pass.

Requirements

Mandatory

  • To complete this online course, you will need a personal computer with adequate internet access and sufficient software and bandwidth to support web conferencing. You will also require an operating system with a web browser compatible with Canvas

Discounts

Discounts are available for this course as follows:

  • 5% discount for strategic partners
  • 5% discount for 2 enrolments in UTS Business School microcredentials (same person or same organisation)
  • 10% discount for 3 or more enrolments in UTS Business School microcredentials (same person or same organisation)
  • 5% discount for UTS alumni.

Discounts cannot be combined and only one discount can be applied per person per course session. Discounts can only be applied to the full price. Discounts cannot be applied to any offered special price. 

How to obtain your discount voucher code

  • Please contact the team at support@open.uts.edu.au with your student number, strategic partnership details or details of group enrolments, to obtain your discount voucher code. 

How to apply your discount voucher 

  • If you are eligible for a UTS alumni discount, please ensure you have provided your UTS student number in your UTS Open Profile (under “A bit about you”). If you have forgotten your UTS student number, email support@open.uts.edu.au with your full name, UTS degree and year of commencement.  
  • Add this course to your cart 
  • Click on "View Cart" (blue shopping trolley at top right of screen). You will need to sign in or sign up to UTS Open 
  • Enter your eligible code beneath the “Have a code?” prompt and click on the blue "Apply" button 
  • Verify your voucher code has been successfully applied before clicking on the blue "Checkout" button. 
$2,676.00

START DATE

16 January

MODE

Online

DURATION

7 wks

COMMITMENT

Avg 10 hrs/wk

Make an enquiry

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Lead academic

David Bond

David Bond
Senior Lecturer, UTS Business School

David is the course director for the Master of Business Analytics at UTS. He has published in a number of reputable journals and is a media commentator with 2SER Radio. He has covered four federal budgets, is a regular contributor to The Conversation, and has appeared in The Australian Financial Review, The Jakarta Post and The Sun Herald. 

David is currently on several prestigious boards, has held the position of academic fellow at the International Financial Reporting Standards Foundation in London and been a visiting academic at the London School of Economics. He has an active interest in the role of emerging technology and social media in the learning environment and has received the UTS Accounting Discipline Group Teaching & Learning Award twice (2009 and 2011), a UTS Teaching & Learning Citation (2009) and a UTS Teaching & Learning Award (2011). 

  

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Rebecca Bachmann

Rebecca Bachmann
Facilitator

Rebecca completed her PhD in accounting through the UTS Business School. She also completed a Bachelor of Business in 2017, majoring in accounting and finance – for which she was awarded First Class Honours and the University Medal.

Rebecca's main research interests are corporate governance, executive compensation and mergers & acquisitions. Her research has been published in international research journals such as the Journal of Business Finance & Accounting and featured in newspapers such as the Australian Financial Review.

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Book a session

Mon 16 Jan 2023 -
Sun 05 Mar 2023
Expert: David Bond, Rebecca Bachmann
  • Online via Zoom
  • Online
  • 4 sessions, 4 hours total

Enrolments close at 11.59pm, 23 December 2022 (AEST). Participants will need to undertake approximately 10 hours of self-directed online learning each week over 7 weeks.

Mon 13 Mar 2023 -
Sun 30 Apr 2023
Expert: David Bond, Rebecca Bachmann
  • Online via Zoom
  • Online
  • 4 sessions, 4 hours total

Enrolments close at 11.59pm, 30 January 2023 (AEST). Participants will need to undertake approximately 10 hours of self-directed online learning each week over 7 weeks.

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Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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