Study Business Analytics
What is the Master of Business Analytics?
Study Business Analytics at UTS Business School
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Businesses able to make better decisions using data will be the ones that prosper in global, highly competitive markets awash with information. Professionals who want to succeed in a data-driven world will not only understand the numbers but also be able to communicate insights and prescribe action. These two strands come together in UTS’s new Master of Business Analytics, designed to meet the needs of professionals with either a business or an IT background who are looking for a boundary-crossing degree to take them forward.
In addition to the on-campus Master degree, UTS offers a choice of online Master of Business Analytics, as well as Graduate Certificate, Graduate Diploma (exit-only) and Extension Master degrees, allowing you to choose the level of study and investment that best fits your needs.
I looked into an MBA, but then I came across the business analytics program at UTS. I saw that there was a good balance of practical experience — you learn something and then you implement it in real life.
All the subjects involved projects that you can put in your portfolio. There’s interrelation between the different subjects, too — you can use a concept from one course and implement it in another.
They don’t teach you anything you don’t need because the programs are really suited to the needs of industry. Nothing you learn is obsolete.
Why is it needed?
Within Australia and around the world there is a critical shortage of people with deep analytical, data management and interpretation skills, with one recent survey indicating 40 percent of companies struggling to find and retain their data analytics talent.
Business analytics allows you to undertake three core analytical tasks that add value to organisations:
Diagnostic: reporting on what has happened and identifying the causes behind it
Predictive: understanding what is happening and using this to make educated predictions as to what is likely to happen in the future
Prescriptive: identifying a course of action for an organisation to undertake, in response to a predicted outcome or range of outcomes
It is this latter task that adds the most value to organisations, and is a key focus of the program
Who is it for?
The UTS Business Analytics program is designed for professionals working in, or seeking to enter, the fields of marketing, economics and economic modelling, operations, accounting, finance and information technology.
Background degrees may vary according to professional background and include business, economics, mathematics, IT, Information Science etc. For professionals without a completed undergraduate degree but with significant relevant experience, the Graduate Certificate in Business Analytics offers an entry pathway through which you can progress to the Master of Business Analytics.
How is it taught?
The course is delivered in blended mode, combining contemporary online and face-to-face learning experiences in UTS’s leading-edge facilities.
Studios
A unique feature of the Business Analytics program is the inclusion of studios, where students apply the technical skills they developed onto real-world projects. Studio classes are intensive, running for a whole day and allowing for you to deep-dive into a project whilst being mentored and guided by leading academics and practitioners.
What is the course structure?
How does it work?
All students in the Master of Business Analytics complete an introductory subject, Foundations of Business Analytics, and a Programming Languages stream consisting of three subjects, that gives you a working knowledge of SAS, R and Python. These four introductory subjects total 12 credit points.
The three studios run throughout your studies, forming the backbone of the program, and make up a total of 24 credit points, or a third of the Master of Business Analytics.
If you have a business, commerce or similar prior degree, you will assigned to the Foundation in IT stream, consisting of two 6-credit-point subjects: Database Principles, and Enabling Enterprise Information Systems.
Alternatively, if your degree was in IT, computer science or similar, you will be assigned to the Foundation in Business stream, consisting of four 3-credit-point subjects: Delivering Customer Value; Accounting Practices and Tools; Applied Financial Management; and Sustainable Enterprise in Dynamic Systems. From there, you are free to choose your specialisation stream(s), normally consisting of 12 credit points each. Specialisation stream options include:
- Business Services Analytics
- Data Analytics
- Financial Analytics
- Innovation (24 credit points)
- Internet - Marketing Analytics
- Software Development and Interaction Design
Alternatively you can choose to do either 12 or 24 credit points of electives of subjects chosen from the various stream areas and from throughout the University.
The Master of Business Analytics consists of:
Subject/s | Graduate Certificate | Graduate Diploma | Master | Master (Extension) |
---|---|---|---|---|
24cp | 48cp | 72cp | 96cp | |
Introduction | 3cp | 3cp | 3cp | 3cp |
25776 Foundations of Business Analytics 3cp | C | C | C | C |
Programming Languages Stream | 3cp | 9cp | 9cp | 9cp |
25777 Data Processing Using SAS 3cp | C | C | C | C |
42046 Data Processing Using R 3cp | C | C | C | |
42047 Data Processing Using Python 3cp | C | C | C | |
Studios | 6cp | 12cp | 24cp | 24cp |
23708 Studio 1 6cp | C | C | C | C |
24754 Studio 2 6cp | C | C | C | |
42048 Studio 3 12cp | C | C | ||
Foundation Stream (choose 1) | 12cp | 12cp | 12cp | 12cp |
Foundation for Business stream | E | C | C | C |
32606 Database Principles 6cp | ||||
32557 Enabling Enterprise Information Systems, 6cp | ||||
Or | Or | Or | Or | |
Foundation for IT stream | E | C | C | C |
24748 Delivering Customer Value, 3cp | ||||
22788 Accounting Practices and Tools, 3cp | ||||
25720 Applied Financial Management, 3cp | ||||
21954 Sustainable Enterprise in Dynamic Systems, 3cp | ||||
And | And | And | ||
Specialisations | 12cp | 24cp | 48cp | |
STM91348 Business Services Analytics stream 12cp | E | E | ||
STM91349 Data Analytics stream 12cp | E | E | ||
STM91347 Financial Analytics stream 12cp | E | E | ||
STM91351 Internet stream 12cp | E | E | ||
STM91346 Marketing Analytics stream 12cp | E | E | ||
STM91350 Software Development and Interaction Design stream 12cp | E | E | ||
STM91352 Innovation stream 24cp | E | E | ||
CBK91805 Electives 12cp | E | |||
CBK91804 Electives 24cp | E | E |
C = Core subject, E = Elective subject
All students in the Master of Business Analytics complete an introductory subject, Foundations of Business Analytics, and a Programming Languages stream consisting of three subjects, that gives you a working knowledge of SAS, R and Python. These four introductory subjects total 12 credit points.
The three studios run throughout your studies, forming the backbone of the program, and make up a total of 24 credit points, or a third of the Master of Business Analytics.
If you have a business, commerce or similar prior degree, you would then choose the Foundation for Business stream, consisting of two 6-credit-point subjects: Database Principles, and Enabling Enterprise Information Systems.
Alternatively, if your degree was in IT, computer science or similar, you would choose the Foundation for IT stream, consisting of four 3-credit-point subjects: Delivering Customer Value; Accounting Practices and Tools; Applied Financial Management; and Sustainable Enterprise in Dynamic Systems
From there, you are free to choose your specialisation stream(s), normally consisting of 12 credit points each. Specialisation stream options include:
- Business Services Analytics
- Data Analytics
- Financial Analytics
- Innovation (24 credit points)
- Internet
- Marketing Analytics
- Software Development and Interaction Design
Alternatively you can choose to do either 12 or 24 credit points of electives of subjects chosen from the various stream areas and from throughout the University.
How do I get in?
To gain entry into the Master of Business Analytics you must have a recognised bachelor's degree in a cognate field within the business or information technology disciplines. You do not require any additional previous experience in business analytics, although applicants with significant relevant professional experience but without a degree may be eligible to enter into the Graduate Certificate of Business Analytics.
Who teaches the program?
Teaching staff come from a range of fields at UTS, including Accounting, Economics, Finance, Marketing and Management within UTS Business School, School of Electrical and Data Engineering, School of Computer Science, and School of Information, Systems and Modelling from the Faculty of Engineering and IT and also subjects from the Faculty of Transdisciplinary Innovation.
How do I find out more, or apply?
Got a question? You can contact UTS by phone, online or in person. If you're ready to apply, you can submit your application here.