Graduate Certificate of Business Analytics
Course summary for international students
| Year | 2026 course information |
|---|---|
| Award granted | Graduate Certificate of Business Analytics |
| Campus | Offered at Burwood (Melbourne), Online |
| Length | 0.5 years full-time |
| Fee paying annual fee - commencing 2026 | $22,100 AUD |
| CRICOS code | 108877E Burwood (Melbourne) |
| Level | Postgraduate (Graduate Certificate and Graduate Diploma) |
| Deakin course code | M561 |
| 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
- Online studies
- Fees and charges
- Career opportunities
- Course learning outcomes
- Course rules
- Course structure
- Admission criteria
- Academic requirements
- English language proficiency requirements
- Admissions information
- Credit for prior learning - general
- Further study
- Workload
- Work experience
- Participation requirements
- Mandatory student checks
Course overview
Business analytics is transforming how organisations make decisions. Deakin’s 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 gain in-demand, practical skills. Whether you are looking to enhance your current role or take the first step towards a new career, this course equips you with the foundational skills needed to succeed.
Ready to expand your career options with skills in data analysis?
Led by our globally recognised experts, you will learn to:
- apply broad, integrated knowledge of business analytics concepts and tools to identify and justify solutions in business and social contexts
- use digital technologies to research, analyse and communicate the impact of business analytics on strategy and operations
- think critically to evaluate options, solve problems and recommend actionable solutions.
Want to take your study further? This course is a pathway to our industry-leading Master of Business Analytics.
Online studies
Deakin offers many courses which can be studied by distance education overseas.
However, international students living in Australia on a student visa, in each compulsory trimester (that is, Trimesters 1 and 2), must enrol in at least one unit that is offered as a Campus located unit and can, in addition enrol in units offered online. International students may undertake a maximum of up to one third (or equivalent) of their study as online study. Please note enrolment in one face to face unit in compulsory study periods is only allowed if the student is completing their final unit of study and will not exceed maximum one third (or equivalent) online requirement.
Fees and charges
The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students completing this course within the same year in which they started. The cost will vary depending on the units you choose, your study load, the length of your course and any approved Recognition of prior learning you have.
The 'Estimated tuition fee' is calculated by adding together four credit points of study. Four credit points is used as it represents a typical enrolment load for a Graduate Certificate.
Each unit you enrol in has a credit point value. You can find the credit point value of each unit under the Unit Description by searching for the unit in the handbook.
Learn more about tuition fees.
Career opportunities
The Graduate Certificate of Business Analytics equips you with core analytical and problem-solving skills that can be applied across diverse industries including government, healthcare, technology, and financial services. It’s ideal for those entering the field, transitioning careers, or adding analytics capability to an existing role.
Graduates will be prepared for entry-level or supporting roles such as:
-
data and insights analyst
-
business intelligence analyst
-
business systems analyst
-
market research analyst
-
reporting analyst
-
big data analyst
-
marketing and performance analyst
This course also provides a pathway to the Graduate Diploma or Master of Business Analytics for those looking to deepen their expertise.
Course learning outcomes
| Deakin Graduate Learning Outcomes | Course Learning Outcomes |
|---|---|
| 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, you must pass 4 credit points. This includes:
- DAI001 Academic Integrity and Respect at Deakin (0-credit-point compulsory unit) in your first study period
- 2 credit points of core units
- 2 credit points of course elective units
Most units are equal to one credit point. As a full-time student you will study four credit points per trimester and usually undertake two trimesters per year.
All students are required to meet the University's academic progress and conduct requirements.
Course structure
Compulsory 0-credit point module
To be completed in the first trimester of study:-
| DAI001 | Academic Integrity and Respect at Deakin |
Core units
| MIS770 | Foundation Skills in Data Analysis |
| MIS710 | Machine Learning in Business |
Course electives
Plus two credit points from the following units:
| MIS714 | People Analytics |
| MIS771 | Descriptive Analytics and Visualisation |
| MIS772 | Predictive Analytics |
| MIS775 | Decision Modelling for Business Analytics |
| MIS781 | Business Intelligence and Database |
| MIS782 | Value of Information |
| MIS784 | Marketing Analytics |
Admission criteria
Selection is based on a holistic consideration of your academic merit, work experience, likelihood of success, availability of places, participation requirements, regulatory requirements, and individual circumstances. You will need to meet the minimum academic and English language proficiency requirements or higher to be considered for selection, but this does not guarantee admission.
A combination of qualifications and experience may be deemed equivalent to minimum academic requirements.
Academic requirements
To be considered for admission to this degree you will need to meet at least one of the following criteria:
- completion of a bachelor degree or higher
- at least two years’ relevant work experience* (or part-time equivalent)
Examples of relevant work experience include, but not limited to: typically be post-graduation and include roles focused on data-driven decision-making and analytics. This includes positions in data analytics, business intelligence, consulting, information systems, data science, operations research, or fields like financial, marketing, cybersecurity or supply chain analytics. Roles in project or product management, or business strategy with a strong emphasis on data analysis, are also relevant. Experience with analytics tools, platforms, or processes to support organizational decision-making is highly valuable.
English language proficiency requirements
To meet the English language proficiency requirements of this course, you will need to demonstrate at least one of the following:
- bachelor degree from a recognised English-speaking country
- IELTS overall score of 6.5 (with no band score less than 6.0) or equivalent
- other evidence of English language proficiency (learn more about other ways to satisfy the requirements)
Admissions information
Learn more about Deakin courses and how we compare to other universities when it comes to the quality of our teaching and learning.
Not sure if you can get into Deakin postgraduate study? Postgraduate study doesn’t have to be a balancing act; we provide flexible course entry and exit options based on your desired career outcomes and the time you are able to commit to your study.
Credit for prior learning - general
If you have completed previous studies which you believe may reduce the number of units you have to complete at Deakin, indicate in the appropriate section on your application that you wish to be considered for Recognition of prior learning. You will need to provide a certified copy of your previous course details so your credit can be determined. If you are eligible, your offer letter will then contain information about your Recognition of prior learning.
Your Recognition of prior learning is formally approved prior to your enrolment at Deakin during the Enrolment and Orientation Program. You must bring original documents relating to your previous study so that this approval can occur.
You can also refer to the recognition of prior learning (RPL) system which outlines the credit that may be granted towards a Deakin University degree.
Further study
M761 Master of Business AnalyticsCourse duration
Course duration
Course duration may be affected by delays in completing course requirements, such as failing of units or accessing or completing placements.
Workload
You can expect to participate in a range of teaching activities each week. This could include lectures, seminars, online interactions, or professional experiences for Work Integrated Learning (WIL) units. 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.
Work experience
This course does not require students to complete compulsory work integrated learning units.
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.