The UTS Online Master of Business Analytics is a unique transdisciplinary program of study in business analytics.
With subjects drawn from UTS Business School, the Faculty of Engineering and Information Technology and the Faculty of Arts and Social Sciences, students will be provided with a course structure that fits for their background and experience, as well as flexible specialisations to meet new needs and career interests.
The course is delivered 100% online, part-time, enabling students to continue to work full-time while attaining the business analytical skills to take control of their career and apply the skills their learn in the course immediately at work, regardless of their industry.The Online Master of Business Analytics is tailored to professionals who want to diversify their career options and gain the agility, confidence and competence to influence organisational decisions through data.
Unique to UTS Online, students will apply industry relevant skills to their professional situation in the Foundation and Innovation Studios.
Regardless of the type of industry they are in, the studios provide a space to apply their learnings and identify, design and facilitate data-driven solutions to influence organisational change.
The course comprises a total of 72 credit points and consists of a combination of core and foundation stream subjects.
Students with a business background select STM91450 Foundation in IT stream (Business Analytics) (information technology foundation subjects) and students with an information technology background select STM91451 Foundation in Business stream (Business Analytics) (business foundation subjects).
Course completion requirements
|
course
|
credit
|
|
CBK91894 Foundation Option (Business Analytics)
|
12cp
|
|
260776 Foundation of Business Analytics
|
3cp
|
|
260777 Data Processing Using SAS
|
3cp
|
|
570100 Data Ethics and Regulation
|
6cp
|
|
STM91454 Business Analytics (Level 2)
|
24cp
|
|
STM91455 Business Analytics (Level 3)
|
24cp
|
|
Total
|
72cp
|
Course program
A typical course program is provided below, showing the recommended study sequence to ensure completion of the course within the expected duration. Refer to the Timetable Planner for confirmation of availability.
Session 4 commencing, full time
Year 1
Session 4
|
course
|
credit
|
|
260776 Foundation of Business Analytics
|
3cp
|
|
260777 Data Processing Using SAS
|
3cp
|
Session 5
|
course
|
credit
|
|
Select 6 credit points from the following:
|
6cp
|
|
STM91450 Foundation in Business stream (Business Analytics)
|
|
|
STM91451 Foundation in IT stream (Business Analytics)
|
|
Session 6
|
course
|
credit
|
|
Select 6 credit points from the following:
|
6cp
|
|
STM91450 Foundation in Business stream (Business Analytics)
|
|
|
STM91451 Foundation in IT stream (Business Analytics)
|
|
Year 2
Session 1
|
course
|
credit
|
|
570100 Data Ethics and Regulation
|
6cp
|
Session 2
|
course
|
credit
|
|
230708 Foundation Studio
|
6cp
|
Session 3
|
course
|
credit
|
|
240753 Customer Analytics
|
6cp
|
Session 4
|
course
|
credit
|
|
320146 Data Visualisation and Visual Analytics
|
6cp
|
Session 5
|
course
|
credit
|
|
420046 Data Processing Using R
|
3cp
|
|
420047 Data Processing Using Python
|
3cp
|
Session 6
|
course
|
credit
|
|
320513 Machine Learning
|
6cp
|
Year 3
Session 1
|
course
|
credit
|
|
420048 Innovation Studio
|
12cp
|
Session 3
|
course
|
credit
|
|
220789 Financial Analytics
|
6cp
|
Session 5 commencing, full time
Year 1
Session 5
|
course
|
credit
|
|
Select 6 credit points from the following:
|
6cp
|
|
STM91450 Foundation in Business stream (Business Analytics)
|
|
|
STM91451 Foundation in IT stream (Business Analytics)
|
|
Session 6
|
course
|
credit
|
|
Select 6 credit points from the following:
|
6cp
|
|
STM91450 Foundation in Business stream (Business Analytics)
|
|
|
STM91451 Foundation in IT stream (Business Analytics)
|
|
Year 2
Session 1
|
course
|
credit
|
|
570100 Data Ethics and Regulation
|
6cp
|
Session 2
|
course
|
credit
|
|
260776 Foundation of Business Analytics
|
3cp
|
|
260777 Data Processing Using SAS
|
3cp
|
Session 3
|
course
|
credit
|
|
240753 Customer Analytics
|
6cp
|
Session 4
|
course
|
credit
|
|
320146 Data Visualisation and Visual Analytics
|
6cp
|
Session 5
|
course
|
credit
|
|
420046 Data Processing Using R
|
3cp
|
|
420047 Data Processing Using Python
|
3cp
|
Session 6
|
course
|
credit
|
|
230708 Foundation Studio
|
6cp
|
Year 3
Session 1
|
course
|
credit
|
|
420048 Innovation Studio
|
12cp
|
Session 3
|
course
|
credit
|
|
220789 Financial Analytics
|
6cp
|
Session 4
|
course
|
credit
|
|
320513 Machine Learning
|
6cp
|
Session 6 commencing, full time
Year 1
Session 6
|
course
|
credit
|
|
Select 6 credit points from the following:
|
6cp
|
|
STM91450 Foundation in Business stream (Business Analytics)
|
|
|
STM91451 Foundation in IT stream (Business Analytics)
|
|
Year 2
Session 1
|
course
|
credit
|
|
570100 Data Ethics and Regulation
|
6cp
|
Session 2
|
course
|
credit
|
|
260776 Foundation of Business Analytics
|
3cp
|
|
260777 Data Processing Using SAS
|
3cp
|
Session 3
|
course
|
credit
|
|
Select 6 credit points from the following:
|
6cp
|
|
STM91450 Foundation in Business stream (Business Analytics)
|
|
|
STM91451 Foundation in IT stream (Business Analytics)
|
|
Session 4
|
course
|
credit
|
|
320146 Data Visualisation and Visual Analytics
|
6cp
|
Session 5
|
course
|
credit
|
|
420046 Data Processing Using R
|
3cp
|
|
420047 Data Processing Using Python
|
3cp
|
Session 6
|
course
|
credit
|
|
230708 Foundation Studio
|
6cp
|
Year 3
Session 1
|
course
|
credit
|
|
420048 Innovation Studio
|
12cp
|
Session 3
|
course
|
credit
|
|
220789 Financial Analytics
|
6cp
|
Session 4
|
course
|
credit
|
|
320513 Machine Learning
|
6cp
|
Session 5
|
course
|
credit
|
|
240753 Customer Analytics
|
6cp
|
Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.
The bachelor's degree should be in a related field within the business or information technology disciplines.
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.
Eligibility for admission does not guarantee offer of a place.
