Graduate Certificate of Business Analytics

2024 Deakin University Handbook

Year

2024 course information

Award granted Graduate Certificate of Business Analytics
Deakin course codeM561
Faculty

Faculty of Business and Law

CampusOffered at Burwood (Melbourne)
OnlineYes
Duration 0.5 year full-time or part-time equivalent
Course Map - enrolment planning tool

This course map is for new students commencing from Trimester 1 2024

This course map is for new students commencing from Trimester 2 2024

Course maps for commencement in previous years are available on the Course Maps webpage or please contact a Student Adviser in Student Central.

CRICOS course code108877E Burwood (Melbourne)
Australian Qualifications Framework (AQF) recognition

The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 8

Course sub-headings

Course overview

Business analytics is transforming the way organisations make decisions. The Graduate Certificate of Business Analytics enables professionals to create value from big data and solve the decision-making challenges facing business today.

Learn from academics who are experts in the field and become a practitioner with sought-after skills. Whether you’re looking to add expertise to your current role or taking a step towards a new career, this course gives you the foundational skills you need.

Ready to expand your career options with skills in data analysis?

Led by our globally recognised experts, you will learn to:

  • apply broad and integrated knowledge of business analytics concepts and existing software, to research, identify and justify solutions for organisations and social contexts.
  • apply digital technologies to support research, analysis and information dissemination about the impact of business analytics technologies on business strategies and operations
  • think critically in identifying alternative solutions, evaluating options and problem solving

The graduate certificate is suited to anyone who wishes to get ahead of the game and rise to the data challenge.

Want to take your study further? This course is a pathway to our industry-leading Master of Business Analytics.

Indicative student workload

As a student in the Faculty of Business and Law, you can expect to participate in a range of teaching activities each week. This could include classes, seminars, practicals and online interaction. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.

Career opportunities

Qualified business analysts are attracting well above average salaries globally across all sectors, from government and information technology to health settings. Possible roles for business analysts include:

  • reporting analyst
  • business systems analyst
  • operations analyst
  • business intelligence analysts
  • specialised disciplines such as geoinformatics data analyst and see-ice data analyst.

Participation requirements

Units in this course may have participation requirements that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.

Reasonable adjustments to participation and other course requirements will be made for students with a disability. More information available at Disability support services.

Mandatory student checks

Units which contain work integrated learning, a community placement or interaction with the community may require a police check, working with children check or other check. These requirements will be detailed in unit guides upon enrolment.

Fees and charges

Fees and charges vary depending on the type of fee place you hold, your course, your commencement year, the units you choose to study and their study discipline, and your study load.

Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.

Use the Fee estimator to see course and unit fees applicable to your course and type of place. For further information regarding tuition fees, other fees and charges, invoice due dates, withdrawal dates, payment methods visit our Current students website.

Course Learning Outcomes

Graduate Learning Outcome Course Learning Outcome
Discipline specific knowledge and capabilities Apply broad and integrated knowledge of business analytics concepts and existing software, to research, identify and justify solutions for organisations and social contexts.
Communication Interpret specialised knowledge and effectively communicate complex business analytics findings to both specialists and non-specialists
Digital literacy

Apply digital technologies to support research, analysis and information dissemination about the impact of Business Analytics technologies on business strategies and operations.

Critical thinking

Analyse and evaluate competing academic, professional and/or stakeholder issues of complex organisation and social contexts where existing Business Analytics software is being considered.

Problem solving

Identify and define organisational problems, formulate and evaluate alternatives, and recommend suitable business analytics solutions based on organisational and societal needs.

Self-management Not explicitly addressed as a learning outcome in this award
Teamwork Not explicitly addressed as a learning outcome in this award
Global citizenship Not explicitly addressed as a learning outcome in this award

Course rules

To complete the Graduate Certificate of Business Analytics, students must attain a total of 4 credit points comprising of 2 credit points of core units, 2 credit points of course electives, plus completion of the compulsory 0-credit point module, DAI001 Academic Integrity Module.

Course structure

Compulsory 0-credit point module

To be completed in the first trimester of study:-

DAI001Academic Integrity Module

Core units

MIS770Foundation Skills in Data Analysis

MIS710Machine Learning in Business

Course elective units

Plus two credit points from the following units:

MIS714People Analytics

MIS771Descriptive Analytics and Visualisation

MIS772Predictive Analytics

MIS775Decision Modelling for Business Analytics

MIS781Business Intelligence and Database

MIS782Value of Information

MIS784Marketing Analytics

Work experience

This course does not require students to complete compulsory work integrated learning units.

Other course information

Course duration

Course duration may be affected by delays in completing course requirements, such as accessing or completing work placements.

Further information

Student Central can help you with course planning, choosing the right units and explaining course rules and requirements.