Bachelor of Data Science (3769)
- Approved Abbreviation: BDataSc
- Western Sydney University Program Code: 3769
- AQF Level: 7
CRICOS Code: 089203J
This program applies to students who commenced in 2022 or later.
Students should follow the program structure for the session start date relevant to the year they commenced.
For commencement year 2021, please refer to: 3769.1 Bachelor of Data Science
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.
Program Advice
Prospective students should visit the following websites for general enquiries about this program.
Enquire about this program| Local Admission | International Admission |
Location
| Campus | Attendance | Mode | Advice |
|---|---|---|---|
| Parramatta Campus - Victoria Road | Full Time | Internal | See above |
| Parramatta Campus - Victoria Road | Part Time | Internal | See above |
Admission
Assumed Knowledge: HSC Mathematics Advanced and any two units of HSC English.
Applications from Australian and New Zealand citizens and holders of permanent resident visas may be made via the Universities Admissions Centre (UAC) or directly through the Western Portal. Use the links below to apply via UAC or Western Sydney University. Applications made directly to Western Sydney do not have an application fee.
http://www.uac.edu.au/
https://westernsydney.uac.edu.au/ws/
Applicants who have undertaken studies overseas may have to provide proof of proficiency in English. Local 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.
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.
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.
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.
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 minors from the list below, OR
- one minor from the list below AND 40 credit points of electives
Recommended sequence
Full-time start-year intake
| Year 1 | ||
|---|---|---|
| Autumn session | Credit Points | |
| NATS 1019 | Scientific Literacy | 10 |
| COMP 1014 | Thinking About Data | 10 |
| MATH 1006 | Discrete Mathematics | 10 |
| COMP 1005 | Programming Fundamentals | 10 |
| Credit Points | 40 | |
| Spring session | ||
| MATH 1014 | Mathematics 1A | 10 |
| COMP 2025 | Introduction to Data Science | 10 |
| Select two major, minor or elective subjects | 20 | |
| Credit Points | 40 | |
| Year 2 | ||
| Autumn session | ||
| COMP 1013 | Analytics Programming | 10 |
| COMP 2026 | Visual Analytics | 10 |
| Select two major, minor or elective subjects | 20 | |
| Credit Points | 40 | |
| Spring session | ||
| COMP 3032 | Machine Learning | 10 |
| INFS 2001 | Database Design and Development | 10 |
| COMP 3020 | Social Web Analytics | 10 |
| COMP 2023 | Mathematical Programming | 10 |
| Credit Points | 40 | |
| Year 3 | ||
| Autumn session | ||
| COMP 3002 | Applications of Big Data | 10 |
| MATH 3011 | Probabilistic Models and Inference | 10 |
| INFO 3008 | Professional Development | 10 |
| Select one major, minor or elective subjects | 10 | |
| Credit Points | 40 | |
| Spring session | ||
| COMP 3035 | Discovery Project | 10 |
| Select three major, minor or elective subjects | 30 | |
| Credit Points | 40 | |
| Total Credit Points | 240 | |
Equivalent Subjects
The subjects listed below count towards completion of this program for students who passed these subjects in 2021 or earlier.
MATH 1033 Thinking About Data, replaced by COMP 1014 Thinking About Data
MATH 2009 Introduction to Data Science, replaced by COMP 2025 Introduction to Data Science
MATH 1002 Analytics Programming, replaced by COMP 1013 Analytics Programming
MATH 2014 Visual Analytics, replaced by COMP 2026 Visual Analytics
Full-time mid-year intake
| Year 1 | ||
|---|---|---|
| Spring session | Credit Points | |
| MATH 1014 | Mathematics 1A | 10 |
| NATS 1019 | Scientific Literacy | 10 |
| COMP 1005 | Programming Fundamentals | 10 |
| COMP 1014 | Thinking About Data | 10 |
| Credit Points | 40 | |
| Autumn session | ||
| MATH 1006 | Discrete Mathematics | 10 |
| COMP 1013 | Analytics Programming | 10 |
| COMP 2026 | Visual Analytics | 10 |
| Select one major, minor or elective subject | 10 | |
| Credit Points | 40 | |
| Year 2 | ||
| Spring session | ||
| INFS 2001 | Database Design and Development | 10 |
| COMP 2023 | Mathematical Programming | 10 |
| COMP 3032 | Machine Learning | 10 |
| COMP 2025 | Introduction to Data Science | 10 |
| Credit Points | 40 | |
| Autumn session | ||
| COMP 3002 | Applications of Big Data | 10 |
| MATH 3011 | Probabilistic Models and Inference | 10 |
| Select two major, minor or elective subjects | 20 | |
| Credit Points | 40 | |
| Year 3 | ||
| Spring session | ||
| COMP 3035 | Discovery Project | 10 |
| COMP 3020 | Social Web Analytics | 10 |
| Select two major, minor or elective subjects | 20 | |
| Credit Points | 40 | |
| Autumn session | ||
| INFO 3008 | Professional Development | 10 |
| Select three major, minor or elective subjects | 30 | |
| Credit Points | 40 | |
| Total Credit Points | 240 | |
Equivalent Subjects
The subjects listed below count towards completion of this program for students who passed these subjects in 2021 or earlier.
MATH 1033 Thinking About Data, replaced by COMP 1014 Thinking About Data
MATH 2009 Introduction to Data Science, replaced by COMP 2025 Introduction to Data Science
MATH 1002 Analytics Programming, replaced by COMP 1013 Analytics Programming
MATH 2014 Visual Analytics, replaced by COMP 2026 Visual Analytics
Majors (80 credit points)
Minors (40 credit points)
Minor elective spaces
Elective subjects may be used toward obtaining an additional approved minor (40 credit points). Western Sydney University offers minors in a range of areas including Sustainability and Indigenous Studies.
Global Sustainability Minor
Indigenous Australian Studies Minor
Western Sydney University also offers the following innovative transdisciplinary minors which we encourage those students who have elective space to consider.
Equitable Technologies
Urban Evolution
Migration and Global Change
Personal Innovation
Innovating, Creating and Problem Solving
Eco-Socially Conscious Design and Manufacturing
Water for Life
Climate Justice
Global Workplaces
Innovating For Humans
Students can apply for an elective minor via MySR.
Replaced Majors and Minors
The minors listed below count towards completion of this program for students who began studying these minors prior to the years indicated below.
SM3089 Statistics, Minor, discontinued from 2020