Course

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Bachelor of Data Science

Approved Abbreviation: BDataScience


Western Sydney University Course Code: 3734.1

AQF Level: 7

CRICOS Code: 089203J


Course Status: CURRENT
This version of the course is available to new and continuing students.


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

The Bachelor of Data Science is not a stand-alone degree, but is designed to be undertaken in combination with any bachelor degree. Students must have completed all requirements for another bachelors degree in order to graduate with the Bachelor of Data Science.

Digital data plays an increasingly important role in many areas of endeavour. Extracting information from data has become a science in itself – Data Science. Graduates from many disciplines, will benefit from skills in Data Science. This course teaches a blend of skills from mathematics, statistics and computing, Graduates will know how to embark on data driven investigations, and conduct visual and computational analytics for application in their own primary discipline.

Study Mode
Three years full-time or the equivalent part-time. Note: This includes two years equivalent Advanced Standing for prior undergraduate degree.

Course Advice

NameEmail
Course AdviceCDMS@westernsydney.edu.au
Prospective students should use the links at the top of the page for general enquiries about this course.

Location

CampusAttendanceModeCourse Advice
Parramatta Campus - Victoria RoadFull TimeInternal See above
Parramatta Campus - Victoria RoadPart TimeInternal See above

Advanced standing

Advanced Standing will be granted for a maximum of 160 credit points. At least 80 credit points must be completed while enrolled in the Bachelor of Data Science.

Admission

ATAR > 75

Recommended studies: Mathematics, Computing/IT

Assumed knowledge required: Mathematics equivalent to 2 Unit HSC

For current Western Sydney University students wishing to enrol please complete the Course Choice Form available on the University's Students webpage.

Course Choice Form

Applications from Australian and New Zealand citizens and holders of permanent resident visas must be made via the Universities Admissions Centre (UAC).

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/

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

The Bachelor of Data Science is not a stand-alone degree, but is designed to be undertaken in combination with any Western Sydney bachelor degree. The standard study duration for both degrees would be:

  • Four years for students completing a three year Western Sydney Bachelor degree and the Bachelor of Data Science.
  • Five years for students completing a four year Western Sydney Bachelor degree and the Bachelor of Data Science.

Qualification for this award requires the successful completion of 240 credit points which include the units listed in the recommended sequence below and 160 credit points of Advanced Standing. At least 80 credit points must be completed while enrolled in the Bachelor of Data Science.

Recommended Sequence

Autumn session

301108Thinking About Data
301107Analytics Programming
301033Introduction to Data Science
301034Predictive Modelling

Spring Session

301109Visual Analytics
300958Social Web Analytics
301110Applications of Big Data
301111Discovery Project

Plus 160 credit points of advanced standing which must include a minimum of

20 credit points at Level 3 units for a three year degree (240 credit points)

100 credit points at Level 3 or above for a four year degree (320 credit points)



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