Course

Master of Business Analytics

Approved Abbreviation: MBusAnalytics


Western Sydney University Course Code: 2799.1

AQF Level: 9

CRICOS Code: 093320C


Course Status: INACTIVE
This version of the course is no longer offered. Please use the course search to find courses currently available.


Students should follow the course structure for the course or course version relevant to the year they commenced. This version applies to students whose commencement year in this course is Quarter 4 2016 or later.

The ever increasing amount of data in the business world today requires that businesses make sense of the flow of information if they are to hold a competitive edge in the market. The Master of Business Analytics offers a course of study on how to manage effectively in a data driven world. The program focuses on business analytics rather than just data analytics. It has a strong applications focus covering the nature of data including Big and Unstructured Data and how to embark on data driven investigations and visual and computational analytics. Application of the analytic tools and frameworks in order to examine strategic business and market options and to realise their profit potential are also discussed in this course.

Data Science units are currently offered at Parramatta South campus and Business units are offered at Parramatta City campus. Students are required to travel between campuses in order to complete their core units. The course duration is one year full-time however students commencing in Quarter 2, Quarter 3 or Quarter 4 should note that the course will take longer to complete due to units sequencing for this course.

Study Mode
One year full-time or three years part-time for students commencing in Quarter 1. Students commencing in Quarter 2, Quarter 3 or Quarter 4 or part-time students commencing in all four quarters should note that the course may take longer to complete due to unit sequencing for this course. Advice will be provided by the Director of Academic Program.

Course Advice

NameEmail
Dr Laurel Jacksonla.jackson@westernsydney.edu.au

Admission

Applicants must have successfully completed a graduate certificate, or higher, in a business discipline or a discipline with mathematical or numerate focus;

Or

Successfully completed an undergraduate degree in a business discipline AND a minimum of two years full-time equivalent managerial/professional work experience in roles related to business information management;

Or

Successfully completed an undergraduate degree, or higher, in any discipline AND a minimum of five years general work experience in roles related to business information management.

Applicants seeking admission on the basis of work experience MUST support their application with a Statement of Service for all work experience listed on the application.

Statement of Service

Work experience will require validation by the relevant employer and cannot be used both as a means of admission and as the basis of an application for advanced standing. Work experience will be evaluated to assess whether prospective students have demonstrated a verifiable capability in management such that they are enabled to undertake the discipline-specific learning contained in this Masters-level course. This criterion is impacted directly by the requirements of a curriculum that addresses AQF Level 9 knowledge and skill outcomes including a stipulation that graduates have cognitive skills to demonstrate mastery of theoretical knowledge in management and to reflect critically on theory and professional practice or scholarship.

Applications from Australian and New Zealand citizens and holders of permanent resident visas must be made via the Universities Admissions Centre (UAC). Use the links below to apply via UAC or Western Sydney University.  Applications made directly to Western Sydney do not have an application fee.

Applicants who have undertaken studies overseas may have to provide proof of proficiency in English. Local and International applicants who are applying through the Universities Admissions Centre (UAC) will find details of minimum English proficiency requirements and acceptable proof on the UAC website. Local applicants applying directly to the University should also use the information provided on the UAC website.

http://www.uac.edu.au/

https://westernsydney.uac.edu.au/ws/

International applicants must apply directly to Western Sydney University via the International Office.

International students applying to The University through the International Office can find details of minimum English proficiency requirements and acceptable proof on their website.

International Office

Overseas qualifications must be deemed by the Australian Education International - National Office of Overseas Skills Recognition (AEI-NOOSR) to be equivalent to Australian qualifications in order to be considered by UAC and Western Sydney University.

Course Structure

Qualification for this award requires the successful completion of 80 credit points as per the recommended sequence below.

The course duration is one year full-time for students commencing in Quarter1. Full-time students commencing in Quarter 2, Quarter 3 or Quarter 4 or part-time students commencing in all four quarters should note that the course may take longer to complete due to units sequencing for this course.

Please note that the following units are currently offered at Parramatta South campus only and once a year in Autumn or Spring.

301044Data Science
301117Predictive Analytics
301116Social Media Intelligence
301114The Nature of Data

Recommended Sequence

Full-time

Year 1

Quarter 1 session

200841Strategic Business Management

Autumn session

301114The Nature of Data
301116Social Media Intelligence

Quarter 2 session

200822Applied Marketing Solutions

Spring session

301044Data Science
301117Predictive Analytics

Quarter 3 session

200852Innovation, Creativity and Foresight

Quarter 4 session

200280Masters Project

Part-time

Year 1

Quarter 1 session

200841Strategic Business Management

Quarter 2 session

200822Applied Marketing Solutions

Spring session

301044Data Science

Year 2

Autumn session

301114The Nature of Data

Spring session

301117Predictive Analytics

Year 3

Autumn session

301116Social Media Intelligence

Quarter 3 session

200852Innovation, Creativity and Foresight

Quarter 4 session

200280Masters Project


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