University of Technology Sydney

C04412v1 Master of Business Analytics

Award(s): Master of Business Analytics (MBusAnalyt)
Commonwealth supported place?: No
Load credit points: 72
Course EFTSL: 1.5
Location: Online campus

Notes

This course is 100% online

This course is not offered to international students.


Overview
Course aims
Career options
Course intended learning outcomes
Admission requirements
Pathway course
Recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course program
Articulation with UTS courses
Other information

Overview

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.

Course aims

This course will develop students' learning agility to secure a career in a world where it’s essential to harness the power of data. Demand for business analytics professionals is rapidly growing across industries, broadening career opportunities like never before.

Career options

The course is suitable for students from both business and IT backgrounds looking to upskill and develop the skills required to meet the growth in emerging careers in business analytics. Career options are incredibly varied as most companies across all industries collect huge amounts of data that needs to be interpreted and analysed to inform key decision-making. Graduates from this program are able to provide valuable insights on matters including fraud detection, and logistics optimisation through to customer acquisition and retention and demand forecasting.

Course intended learning outcomes

1.1 Integrate advanced data analysis techniques with business practices to generate actionable knowledge to inform and facilitate effective decision-making in local and international contexts
2.1 Apply advanced analytical, quantitative and computer modelling techniques to identify business problems, formulate options and justify inventive solutions
3.1 Convey information clearly and fluently in written and verbal form appropriate for the problem, data and stakeholders
3.2 Interact with colleagues and stakeholders to work effectively towards agreed outcomes
4.1 Critically evaluate and apply principles of sustainability, ethical and social responsibility as well as Indigenous values relating to professional practice in data analytics
5.1 Demonstrate expert technical and adaptive skills in data analytics relevant to business contexts

Admission requirements

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.

Pathway course

Students who do not meet the requirements to gain entry into the Master of Business Analytics may be eligible for entry into the Graduate Certificate in Business Analytics (C11305). Satisfactory completion of the UTS Graduate Certificate, allows students to articulate into the Master of Business Analytics.

Recognition of prior learning

Students in the Master of Business Analytics are not granted exemptions for any prior studies.

Course duration and attendance

The course is offered online on a part-time basis.

Course structure

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

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
260776 Foundation of Business Analytics   3cp
260777 Data Processing Using SAS   3cp
Session 5
Select 6 credit points from the following:   6cp
STM91450 Foundation in Business stream (Business Analytics) 12cp  
STM91451 Foundation in IT stream (Business Analytics) 12cp  
Session 6
Select 6 credit points from the following:   6cp
STM91450 Foundation in Business stream (Business Analytics) 12cp  
STM91451 Foundation in IT stream (Business Analytics) 12cp  
Year 2
Session 1
570100 Data Ethics and Regulation   6cp
Session 2
230708 Foundation Studio   6cp
Session 3
240753 Customer Analytics   6cp
Session 4
320146 Data Visualisation and Visual Analytics   6cp
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Session 6
320513 Machine Learning   6cp
Year 3
Session 1
420048 Innovation Studio   12cp
Session 3
220789 Financial Analytics   6cp
Session 5 commencing, full time
Year 1
Session 5
Select 6 credit points from the following:   6cp
STM91450 Foundation in Business stream (Business Analytics) 12cp  
STM91451 Foundation in IT stream (Business Analytics) 12cp  
Session 6
Select 6 credit points from the following:   6cp
STM91450 Foundation in Business stream (Business Analytics) 12cp  
STM91451 Foundation in IT stream (Business Analytics) 12cp  
Year 2
Session 1
570100 Data Ethics and Regulation   6cp
Session 2
260776 Foundation of Business Analytics   3cp
260777 Data Processing Using SAS   3cp
Session 3
240753 Customer Analytics   6cp
Session 4
320146 Data Visualisation and Visual Analytics   6cp
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Session 6
230708 Foundation Studio   6cp
Year 3
Session 1
420048 Innovation Studio   12cp
Session 3
220789 Financial Analytics   6cp
Session 4
320513 Machine Learning   6cp
Session 6 commencing, full time
Year 1
Session 6
Select 6 credit points from the following:   6cp
STM91450 Foundation in Business stream (Business Analytics) 12cp  
STM91451 Foundation in IT stream (Business Analytics) 12cp  
Year 2
Session 1
570100 Data Ethics and Regulation   6cp
Session 2
260776 Foundation of Business Analytics   3cp
260777 Data Processing Using SAS   3cp
Session 3
Select 6 credit points from the following:   6cp
STM91450 Foundation in Business stream (Business Analytics) 12cp  
STM91451 Foundation in IT stream (Business Analytics) 12cp  
Session 4
320146 Data Visualisation and Visual Analytics   6cp
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Session 6
230708 Foundation Studio   6cp
Year 3
Session 1
420048 Innovation Studio   12cp
Session 3
220789 Financial Analytics   6cp
Session 4
320513 Machine Learning   6cp
Session 5
240753 Customer Analytics   6cp

Articulation with UTS courses

This course is part of an articulated program comprising the Graduate Certificate in Business Analytics (C11305) and the Master of Business Analytics.

Other information

Further information is available from the UTS Business School on:

telephone 1300 ask UTS (1300 275 887)
email business@uts.edu.au
Business (Postgraduate)