The Master of Business Analytics (Extention) 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 Transdisciplinary Innovation, students are provided with a course structure which fits their background and experience, as well as flexible specialisations to meet new needs and career interests.
The course is delivered in blended mode, combining contemporary online and face-to-face learning experiences in UTS's leading-edge facilities.This course has been developed in consultation with industry in response to major global shortages of people with analytics skills, including a predicted shortfall of over 180,000 people with deep analytical skills and five times that number of data management and interpretation skills.
The course totals 96 credit points and consists of a combination of core, including foundation streams, and elective subjects.
Students with a business background select STM91345 Foundation in IT stream (Business Analytics) (information technology foundation subjects) and students with information technology background select STM91344 Foundation in Business stream (Business Analytics) (business foundation subjects).
Students can also choose a specialisation from the following streams in CBK91806 Specialisation option (Business Analytics): Marketing Analytics (12 credit points), Financial Analytics (12 credit points), Business Services Analytics (12 credit points), Data Analytics (12 credit points), Software Development and Interaction Design (12 credit points), Internet (12 credit points), and Innovation (24 credit points) stream.
Electives can be taken in one of two ways: as multiple specialisations (usually two subjects, totalling 12 credit points for each specialisation), or as two specialisations (total 24 credit points), plus four mixed electives (24 credit points).
Course completion requirements
course
|
credit
|
26776 Foundations of Business Analytics
|
3cp
|
23708 Studio 1: Foundation
|
6cp
|
24754 Studio 2: Specialisation
|
6cp
|
42048 Studio 3: Innovation
|
12cp
|
STM91343 Programming Languages stream (Business Analytics)
|
9cp
|
Select one of the following:
|
|
CBK91805 Electives (Business Analytics)
|
|
CBK91802 Foundation option (Business Analytics)
|
|
CBK91806 Specialisation option (Business Analytics)
|
48cp
|
Total
|
96cp
|
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.
Foundation in IT, Autumn commencing, full time
Year 1
Autumn session
course
|
credit
|
26776 Foundations of Business Analytics
|
3cp
|
23708 Studio 1: Foundation
|
6cp
|
26777 Data Processing Using SAS
|
3cp
|
32606 Database
|
6cp
|
32557 Enabling Enterprise Information Systems
|
6cp
|
Spring session
course
|
credit
|
24754 Studio 2: Specialisation
|
6cp
|
42047 Data Processing Using Python
|
3cp
|
42046 Data Processing Using R
|
3cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Year 2
Autumn session
course
|
credit
|
42048 Studio 3: Innovation
|
12cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Spring session
course
|
credit
|
Select 24 credit points from the following:
|
24cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Foundation in Business, Autumn commencing, full time
Year 1
Autumn session
course
|
credit
|
26776 Foundations of Business Analytics
|
3cp
|
23708 Studio 1: Foundation
|
6cp
|
26777 Data Processing Using SAS
|
3cp
|
24748 Delivering Customer Value
|
3cp
|
22788 Accounting Practices and Tools
|
3cp
|
25720 Applied Financial Management
|
3cp
|
21954 Sustainable Enterprise in Dynamic Systems
|
3cp
|
Spring session
course
|
credit
|
24754 Studio 2: Specialisation
|
6cp
|
42047 Data Processing Using Python
|
3cp
|
42046 Data Processing Using R
|
3cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Year 2
Autumn session
course
|
credit
|
42048 Studio 3: Innovation
|
12cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Spring session
course
|
credit
|
Select 24 credit points from the following:
|
24cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Foundation in IT, Spring commencing, full time
Year 1
Spring session
course
|
credit
|
26776 Foundations of Business Analytics
|
3cp
|
23708 Studio 1: Foundation
|
6cp
|
26777 Data Processing Using SAS
|
3cp
|
32606 Database
|
6cp
|
32557 Enabling Enterprise Information Systems
|
6cp
|
Year 2
Autumn session
course
|
credit
|
24754 Studio 2: Specialisation
|
6cp
|
42047 Data Processing Using Python
|
3cp
|
42046 Data Processing Using R
|
3cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Spring session
course
|
credit
|
42048 Studio 3: Innovation
|
12cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Year 3
Spring session
course
|
credit
|
Select 24 credit points from the following:
|
24cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Foundation in Business, Spring commencing, full time
Year 1
Spring session
course
|
credit
|
26776 Foundations of Business Analytics
|
3cp
|
23708 Studio 1: Foundation
|
6cp
|
26777 Data Processing Using SAS
|
3cp
|
42047 Data Processing Using Python
|
3cp
|
42046 Data Processing Using R
|
3cp
|
Summer session
course
|
credit
|
24748 Delivering Customer Value
|
3cp
|
22788 Accounting Practices and Tools
|
3cp
|
25720 Applied Financial Management
|
3cp
|
21954 Sustainable Enterprise in Dynamic Systems
|
3cp
|
Year 2
Autumn session
course
|
credit
|
24754 Studio 2: Specialisation
|
6cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Spring session
course
|
credit
|
42048 Studio 3: Innovation
|
12cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Year 3
Spring session
course
|
credit
|
Select 24 credit points from the following:
|
24cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Foundation in IT, Summer commencing, full time
Year 1
Summer session
course
|
credit
|
26776 Foundations of Business Analytics
|
3cp
|
23708 Studio 1: Foundation
|
6cp
|
26777 Data Processing Using SAS
|
3cp
|
32606 Database
|
6cp
|
32557 Enabling Enterprise Information Systems
|
6cp
|
Year 2
Autumn session
course
|
credit
|
24754 Studio 2: Specialisation
|
6cp
|
42047 Data Processing Using Python
|
3cp
|
42046 Data Processing Using R
|
3cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Spring session
course
|
credit
|
42048 Studio 3: Innovation
|
12cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Year 3
Spring session
course
|
credit
|
Select 24 credit points from the following:
|
24cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Foundation in Business, Summer commencing, full time
Year 1
Summer session
course
|
credit
|
26776 Foundations of Business Analytics
|
3cp
|
23708 Studio 1: Foundation
|
6cp
|
26777 Data Processing Using SAS
|
3cp
|
24748 Delivering Customer Value
|
3cp
|
22788 Accounting Practices and Tools
|
3cp
|
25720 Applied Financial Management
|
3cp
|
21954 Sustainable Enterprise in Dynamic Systems
|
3cp
|
Year 2
Autumn session
course
|
credit
|
24754 Studio 2: Specialisation
|
6cp
|
42047 Data Processing Using Python
|
3cp
|
42046 Data Processing Using R
|
3cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Spring session
course
|
credit
|
42048 Studio 3: Innovation
|
12cp
|
Select 12 credit points from the following:
|
12cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
Year 3
Spring session
course
|
credit
|
Select 24 credit points from the following:
|
24cp
|
CBK91806 Specialisation option (Business Analytics)
|
|
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.
Minimum Academic Requirement: The bachelor's degree should be in a related field within the business or information technology disciplines.
The English proficiency requirement for international students or 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.
International students
Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.