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Bachelor of Data ScienceApproved Abbreviation: BDataSc
Western Sydney University Course Code: 3769.1
AQF Level: 7
CRICOS Code: 089203J
Course Status: CURRENT
This version of the course is available to new and continuing students.
This course commences in Autumn 2021.
Data is ubiquitous in this digital age and plays an important role in all careers. A Data Scientist has the required expertise to convert all forms of data into valuable information. This degree equips its graduates with the skills and knowledge for designing experimental studies, building and fitting models for analysis, visualisation, estimation and prediction, machine learning for prediction, analysis of complex data relationships, storage and retrieval of big data. These skills are essential for the analysis of customer transactions and behaviour, scientific investigations, financial trends, and online behaviour.
Study Mode
Three years full-time, six years part-time.
Course Advice
Prospective students should use the links at the top of the page for general enquiries about this course.Location
Campus | Attendance | Mode | Course Advice | Parramatta Campus - Victoria Road | Full Time | Internal |
See above
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Parramatta Campus - Victoria Road | Part Time | Internal |
See above
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Admission
Assumed knowledge: Students should have at least two units of HSC English, two units of HSC science (any science) and HSC Mathematics Advanced.
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 students currently completing an Australian Year 12 in or outside Australia, an International Baccalaureate in Australia or a New Zealand National Certificate of Educational Achievement (NCEA) level 3 must apply via UAC International.
http://www.uac.edu.au/
All other International applicants must apply directly to the 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 completion of 240 credit points
Students must complete 160 credit points of core units listed in the recommended sequence below.
Additionally, students must complete
- one major from the list below, OR
- two sub majors from the list below, OR
- one sub major from the list below AND 40 credit points of electives
Majors (80 credit points)
M3110 | Artificial Intelligence |
Sub-majors (40 credit points)
Recommended sequence for start-year intake
Year 1
Autumn session
300580 | Programming Fundamentals |
Spring session
301033 | Introduction to Data Science |
And two major, sub major or elective units
Year 2
Autumn session
And two major, sub major or elective units
Spring session
300104 | Database Design and Development |
Year 3
Autumn session
301110 | Applications of Big Data |
301250 | Probabilistic Models and Inference |
300578 | Professional Development |
And one major, sub major or elective unit
Spring session
And three major, sub major or elective units
Recommended sequence for mid-year intake
Year 1
Spring session
300580 | Programming Fundamentals |
Autumn session
And one major, sub-major or elective unit
Year 2
Spring session
300104 | Database Design and Development |
301033 | Introduction to Data Science |
Autumn session
301110 | Applications of Big Data |
301250 | Probabilistic Models and Inference |
And two major, sub-major or elective units
Year 3
Spring session
And two major, sub-major or elective units
Autumn session
300578 | Professional Development |
And three major, sub-major or elective units