Request a call-back

Download my brochure
Find more detailed information on our
programs, including:
- Program fees
- Career pathways
- Course descriptions
- Workload and tips
- Academic profiles
Solve problems by unlocking data
Become a leader in business analytics and learn how to effectively interpret and communicate data.
Gain a competitive advantage
more quickly
In as little as eight months, you can gain sophisticated analytical skills that you can apply to decision-making across a range of business functions.
First qualification of its kind
Benefit from studying the only graduate certificate analytics program that focuses on building functional decision-makers through problem-solving.
Making decisions - it’s a central part of what many professionals do.
But today, making decisions based on intuition is no longer enough to be competitive.
In a world where more than 2.5 quintillion bytes of information are created each year, businesses are calling out for savvy leaders who can understand, interpret and communicate data in their decisions. These are professionals who are already in demand across industries, including finance, health and medicine, general sciences, defence, agriculture and cybersecurity.
For professionals looking to the future, now is the time to invest in learning the language of data and to use it to make stronger decisions.
You can get ahead and gain the analytical skills to analyse, predict and recommend opportunities for business performance across a range of business functions with RMIT Online’s Graduate Certificate in Business Analytics.
(7 weeks each)
part-time^
FEE-HELP available*
^Number of courses and duration to be comprised depends on prior degree. Please see Entry Requirements or contact us for further details.
*Plus a capped Student Services and Amenities Fee (SSAF) based on your credit point enrolment load.
The RMIT Online Graduate Certificate in Business Analytics program is comprised of four core courses.
Pathways and Credit
Upon successful completion of the Graduate Certificate in Business Analytics you can continue your studies in the following programs with 48 credit points (4 courses) worth of credit:
Face to face masters programs:
Online masters programs:
- MC199 Master of Business Administration
- MC198 Master of Supply Chain and Logistics Management
- MC274 Master of Business Analytics and AI Strategy
For online masters programs, the credit granted will enable you to complete the program in 16 months of intensive study.

JAN
INTAKE
MAR
INTAKE
MAY
INTAKE
JULY
INTAKE
AUG
INTAKE
OCT
INTAKE
RMIT Online postgraduate students must meet minimum academic requirements, and international students must have a proficient level of English. You can find more details below.
Academic requirements:
- A bachelor's degree or equivalent, or higher-level qualification, in any discipline from a recognised tertiary institution*; or
- An alternate entry requirement. If you don't have the formal bachelor's or higher qualification listed above, you will be required to submit a curriculum vitae (CV) if you have the following: at least five years full-time experience working in an analyst or management role in business, information technology or information systems with a portfolio of evidence demonstrating analysis and report writing.
- International or offshore students may need an IELTS score of 6.5 or above.
*If your qualification was completed more than 10 years ago, you will need to provide evidence of ongoing professional work and/or professional development in the same discipline as the program for which you are seeking entry.
Articulation and pathways
On successful completion of the Graduate Certificate in Business Analytics, you will be granted 48 credit points of exemption and may be eligible to continue your studies in the following master's programs.
Face to face master's programs:
- MC199 Master of Business Administration;
- MC198 Master of Supply Chain and Logistics Management.
Online master's programs:
- MC199 Master of Business Administration;
- MC198 Master of Supply Chain and Logistics Management.
- Master of Business Analytics and AI Strategy
If you are successful in gaining entry into the online master's programs, you will be granted 48 credit points of exemption and will be able to complete these online programs in as little as 16 months of intensive part-time study.
Exemptions from this program will be assessed consistently with the principles of the RMIT Credit Policy.
For international or off-shore students, an IELTS score of 6.5 may be required.
International students are required to provide current evidence of English language proficiency for admission to RMIT University. For detailed information on English language requirements and other proficiency tests recognised by RMIT visit the English language requirements and equivalency information.
Australian Student Visas
RMIT's online Graduate Certificate in Business Analytics does not meet Australian student visa requirements. For an Australian student visa, you must have an on-campus place in a program of study. For more details on RMIT's on-campus programs, visit rmit.edu.au.
Recognition of Prior Learning
RMIT assesses each student’s prior learning and qualifications to grant credit so you can complete your online postgraduate degree sooner. Your application will be decided on a case-by-case basis. RMIT aims to grant as much credit as possible at the time of offer, so it’s important to provide as much evidence of prior study and work experience as possible with your application.
Download my brochure
Our comprehensive program guides provide more detailed information about our online programs, including:
- Eligibility and enrolment
- Program duration and fees
- How to manage your studies and work life
- Program entry and exit pathways
Ask a question
Speak with one of our Enrolment Advisors to ask questions about your future study:
- Determining which program is for you
- Understanding how online study works
- How to apply and enrol
Latest news

Business Analytics
The future of business analytics: trends and predictions
25th November 2022

Business Analytics
Business analytics vs data science: what you need to know before studying
2nd December 2020
No, if you have a basic understanding of the importance of data and data points are in your business or your role, that would be more than sufficient.
Yes, if you have done both the short courses in the bundle and meet the entry requirements for the Graduate Certificate in Business Analytics above, you will receive credit for this program. Learn more about the Business Analytics credit pathway here.
Business analytics as a program is suitable for people who wish to focus solely on business intelligence and data reporting, whereas data science is suitable for those seeking to gain knowledge of various programming languages, including Python and R Studio. In this way, they are very different from one another.
You can read more on our blog.
This program might lead to roles such as data administrator, business analyst and business intelligence consultant or manager.
This program comprises four courses, including three core courses and one elective, which you can pick out of five elective options. See the ‘what you will study’ section above for more details.
Everyone learns in different ways. At RMIT Online, we always take a practical approach to assessments so that learning is fun and engaging. We have various types of assessments which we call ABLE (Action-Based Learning). Examples include research reports, case study analysis’ and pop quizzes, rather than standard exams.
Yes, depending on availability as not all courses run in each teaching period. Given that each course requires 15-20 hours of study per week, it is recommended that you study one course at a time.
Business analysts typically focus on interpreting business needs, understanding data trends and communicating insights to stakeholders. While having basic familiarity with data tools and query languages can be useful, most business analyst roles do not require deep coding expertise. Many analysts use user‑friendly tools and visual interfaces to work with data, and advanced coding is more common in specialised data science or engineering positions where building algorithms or processing large datasets is a core task.
RMIT’s Graduate Certificate in Business Analytics equips learners with foundational analytics skills - such as accessing and interpreting data, applying statistical techniques and visualising insights - without making extensive coding a prerequisite. This helps you build practical analytics capabilities that align with many analyst roles.
- Business analytics and data analytics share similarities, but they have different emphasis. Business analytics is typically centred on using data to inform business decisions and strategy, often working with structured organisational data and business intelligence tools.
- Data analytics may involve a broader range of technical skills, including working with unstructured data and a heavier focus on computational or statistical methodologies that underpin data science. Indeed
Neither field is inherently “harder”, it depends on your background and the type of work you enjoy. If you prefer strategic business context and decision‑making, business analytics might feel more intuitive.
Business analytics professionals use a mix of tools to interpret and present data. Commonly used software includes business intelligence platforms, spreadsheet tools and visualisation suites that help transform data into actionable insights. These tools often allow you to run queries, build dashboards, and communicate results without deep programming knowledge.
Examples include platforms like Tableau, Power BI and Excel, which facilitate data exploration, reporting and visual storytelling.
RMIT’s Graduate Certificate in Business Analytics will introduce you to industry‑relevant analytics techniques and tools that support real‑world decision‑making tasks (such as analysing patterns and presenting insights to stakeholders).
Business analytics typically works with structured data that organisations collect through operations, sales, finance, customer interactions and other internal systems. This might include tables of transactional records, customer demographics, product performance figures, or time‑series data that track trends over time. Analysts use this data to identify patterns, produce forecasts, and support strategic decisions.
In contrast, roles focused on broader data science may also deal with unstructured or semi‑structured data such as text, images or web logs, which requires additional preprocessing and specialised techniques.
The Graduate Certificate in Business Analytics at RMIT is designed to help you extract meaningful insights from structured business data and apply them to business challenges.
A business analytics qualification provides valuable skills in analysing and interpreting data to support business decisions, but becoming a data scientist usually involves deeper training in areas like machine learning, algorithm development and advanced statistical modelling. These technical areas often require proficiency in coding and specialised data science tools.
If your goal is data science, you might consider further study, such as a dedicated data science qualification, after completing a business analytics program.
For example, RMIT also offers a Graduate Certificate in Data Science and pathways into broader analytics and AI programs that build more technical expertise.
Business analysts and data analysts both work with data, but their focus and typical responsibilities differ. A data analyst often concentrates more on data cleaning, transformation, and exploratory analysis using statistical tools, whereas a business analyst emphasises understanding business context, interpreting insights, and recommending actions.
Many professionals with business analytics skills can transition into or support data‑oriented roles, especially in smaller organisations where roles overlap.
Completing a program like RMIT’s Graduate Certificate in Business Analytics can help you develop a versatile analytical skill set that supports both business‑facing and data‑focused tasks.
Business analytics and data science are related but distinct fields. Business analytics focuses on using data to inform business decisions through analysis, reporting and visualisation, often using structured data and business intelligence tools. Data science is broader, encompassing data engineering, algorithm development and predictive modelling, and typically involves deeper technical and coding skills.
Some foundational concepts overlap, but they serve different organisational needs: business analytics prioritises actionable insights for business outcomes, while data science tackles more complex modelling challenges.
RMIT’s Graduate Certificate in Business Analytics is designed to develop practical analytics capabilities within the business context, complementing, but not replacing, more technical data science pathways.
people downloaded a course guide in the last 24 hours.
Download a program guide
Find more detailed information on our
programs, including:
- Program fees
- Career pathways
- Course descriptions
- Workload and tips
- Academic profiles
