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2 years, part-time
12 study periods
Jan, Mar, May, July, Sept, Oct
$3,975 per subject*, FEE-HELP available
Meet the demand for business analytics
In a world that’s creating an additional 2.5 quintillion bytes of data each year,¹ coupled with more than half of global businesses incorporating data into all decision-making processes,² it’s no surprise that there’s a high demand for skilled business analysts.
The Master of Business Analytics (online) is tailored to professionals who want to build their business acumen and data skills to meet the growing industry demand. Through upgrading your skills and knowledge in data, you can diversify your career options to have the agility, confidence and competence to influence organisational change. Regardless of the industry you work in you’ll learn to identify, design and facilitate data-driven solutions.
Informed and taught through the UTS Business School, which is AACSB accredited – a status held by only five per cent of the world’s business schools - you’ll be learning from academics at the forefront of business analytics.
This page contains information on the 100% online Master of Business Analytics course. If you're interested in studying on-campus, please view the details on the on-campus course page.
¹The Future of Work report – Deloitte 2018
²Lynchpin report: Four Data & Analytics Trends to Watch in 2020: Based on interviews with 640 global data & analytics leaders.
*Fees are correct for 2022 and are revised annually.
Why study the Master of Business Analytics with UTS Online
Australia’s #1 highest performing university under 50¹
Australia’s top 10 university for Business and Management¹
Top-ranked for excellence in Research in Business¹
5 star rated for excellence across 7 categories²
¹QS World University Rankings 2020 ²QS Star Rating 2018-2021
Upon successful completion of the Master of Business Analytics, you will develop skills through the following learning outcomes:
Business knowledge and concepts
You will become an expert in applying appropriate data analytics to identify problems and uncover opportunities to inform decision making. This is through integrating advanced data analysis techniques with business practices to generate actionable knowledge to inform and facilitate effective decision-making in local and international contexts.
Critical thinking, creativity and analytical skills
Apply advanced analytical, quantitative and computer modelling techniques to identify business problems, formulate options and justify inventive solutions. Become a critical thinker and a proficient data analyst to provide solutions to a specific business and/or industry context.
Communication and interpersonal skills
Convey information clearly and fluently in written and verbal form appropriate for the problem, data and stakeholders. Learn to interact with colleagues and stakeholders to work effectively towards agreed outcomes. You’ll become a storyteller and effective communicator of complex information to a wide audience.
Attitudes and values
Critically evaluate and apply principles of sustainability, ethical and social responsibility as well as Indigenous values relating to professional practice in data analytics. Become an advocate of ethical and sustainable practices relating to the collection, storage, use and dissemination of information.
Business practice-oriented skills
Demonstrate expert technical and adaptive skills in data analytics relevant to business contexts. Become a skilled practitioner in problem identification and solving, understanding of business context, and being responsive and adaptive to changing environments.
Who should study this course?
The Master of Business Analytics is designed for professionals who want to diversify their career options and have the agility, confidence and competence to influence organisational change through data. Students of this course may have backgrounds in varying industries and be specialists in fields of IT, engineering, information science, analytics, business, marketing, HR, accounting or finance in roles such as:
See Entry requirements under Course information for more eligibility information.
What you will study
When studying the Master of Business Analytics course, each of the 12 study periods contains subjects that total six credit points. Some study periods are made up of a combination of two, three credit point subjects, while others are one subject worth six credit points.
There are two pathways (business or IT stream) at the start of this course. Your previous experience and qualifications will determine which one is best for you. Read more about each below:
The Graduate Certificate in Business Analytics (business stream) is designed for those who have a background in IT, engineering, information science or analytics and want to build business acumen.
Accounting Practices & Tools (3CP) + Sustainable Enterprise in Dynamic Systems (3CP)
Delivering Customer Value (3CP) + Applied Financial Management (3CP)
Foundations of Business Analytics (3CP) + Data Processing Using SAS (3CP)
Data Ethics and Regulation (6CP)
Graduate Certificate (IT stream)
The Graduate Certificate in Business Analytics (IT stream) is designed for those who have a background in business, marketing, HR, accounting or finance and want to develop technical knowledge.
Enabling Enterprise Information Systems (6CP)
Foundations of Business Analytics (3CP) + Data Processing Using SAS (3CP)
Data Ethics and Regulation (6CP)
After having successfully completed the four study periods in the Graduate Certificate in Business Analytics, you will then go on to study the remaining eight subjects:
Foundation Studio (6CP)
Customer Analytics (6CP)
Data Visualisation and Visual Analytics (6CP)
Data Processing Using R (3CP) + Data Processing Using Python (3CP)
Machine Learning (6CP)
Innovation Studio (12CP – this subject goes over two study periods)
Financial Analytics (6CP)
Upcoming study periods
UTS Online courses have six intakes per year. The diagram below shows all upcoming
intakes, with the next intake highlighted in blue.
Description of the Course+4 Number of unitsor continue studying
English language requirement
The English proficiency requirement for local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, Internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 176-184.
To gain entry into the Master of Business Analytics, applicants must have completed a UTS recognised bachelor's degree in a related field within the business or information technology discipline that demonstrates potential to pursue graduate studies.
Note: Applicants who do not meet the entry requirements for the Masters may use the successful completion of the Graduate Certificate as a pathway, provided they meet the specific entry requirements for the Graduate Certificate of Business Analytics.
To assist with all or some of your tuition fees, FEE-HELP is available for eligible students. This government-supported loan scheme is designed to help eligible full-fee paying students pay their tuition fees.
To check your eligibility, feel free to speak with an Enrolment Advisor today.
Upon successful completion of the Master of Business Analytics, graduates will have a broad scope of job roles available to them. According to the International Institute of Business Analysis¹, the top five industries where business analytics professionals work are: information technology, finance/insurance, government and public sector, business/professional consulting, and health and social services. The types of roles include:
Senior Digital Marketing Analyst
Market Research Analyst
Business Analytics Consultant
Operations Business Analyst
SAP HR Business Analyst
Average Graduate Starting Salary
According to Job Outlook², the role of a business analyst has very strong future growth prospects and is demanding salaries of an average of $120,000. For this salary the skill level requires five or more years of training or experience with a bachelor’s degree or higher.
According to the IAPA 2017 Skills Salary Survey, those with advanced technical skills, such as R, which is taught in this course, can command salaries $30-$45k above the median.
¹ International Institute of Business Analysis 2017 - iiba.org
² Job Outlook 2020 – joboutlook.gov.au
All units from the Graduate Certificate+4 Diploma unitsor continue studying
Master of Health Services Management
All subjects from the Graduate Certificate+8 subjects from the Master of Health Services Management
A note from our Course Director
“The UTS Online Master of Business Analytics is an innovative, multi-disciplinary program, drawing on the expertise of academics across Business, Engineering, IT, Arts and Social Sciences. Designed for professionals who want to succeed in a data-driven world and not only understand the numbers but also be able to communicate insights and prescribe action. Students will gain business analytical skills to set them apart and provide them the unique opportunity to undertake industry relevant projects.”
Dr. David Bond
Director, Master of Business Analytics
Ready to get started with UTS Online?
Take the next step
Simply schedule a call with our Student Enrolment Advisors who will call you at a time that suits you. They can assist you with:
What technical business analytical skills will I learn?
This course includes subjects such as Data Processing using R, Data Processing using Python and Data Processing using SAS. Upon successful completion of the course, it is a pathway to becoming SAS certified.
Is it essential to have a background in business for this course?
No, you are still eligible for this course if you have a background in IT, engineering, information science or analytics. You will first complete four foundation subjects that will build your business acumen, before continuing on to complete the remaining masters subjects.
Is this an advanced technical course?
This course is designed for those who want foundational and contemporary business analytical skills and have seen the opportunity to further develop their skill in this space to leverage and broaden their job opportunities. This is not a leadership course, but it is a steppingstone to becoming specialised and ultimately more in demand.
I've never coded before. Is this a problem?
No. In designing the course, it’s assumed that students may not necessarily have had any experience in coding before. The three Data Processing subjects will provide you with a solid base to begin your coding journey.
I don't have a Business, IT or Engineering degree. Can I still apply?
Of course. For those without a degree in Business, IT or Engineering, you'll need four years of relevant work experience. Please refer to the above entry requirements for further clarification.