Major - Data Science
Western Sydney University
Major
Code:
MT3032.1
Related Courses
|
2743.11
|
Bachelor of Science/Bachelor of Laws
|
|
3754.1
|
Bachelor of Science
|
|
3756.1
|
Bachelor of Science (Pathway to Teaching Primary/Secondary)
|
|
3757.1
|
Bachelor of Advanced Science
|
|
3763.1
|
Bachelor of Science/Bachelor of Arts
|
|
3764.1
|
Bachelor of Science/Bachelor of International Studies
|
|
4748.3
|
Bachelor of Science/Bachelor of Business
|
|
6043.1
|
Diploma in Science/Bachelor of Science
|
Available to students in other Western Sydney University Courses :
NO
The major in Data Science equips its graduates with the skills and knowledge for designing experimental studies, building and fitting models for analysis, visualisation, estimation and prediction, and 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.
Our graduates will have the knowledge and skills required to operate effectively in a data-driven world.
Major
Structure
Bachelor of Science
Qualification for the award of Bachelor of Science with a major in Data Science requires the successful completion of 240 credit points as per the recommended sequence below.
Full-time
Year 1
Autumn session
Spring session
|
300580
|
Programming Fundamentals
|
Choose one of
And one elective
Year 2
Autumn session
And one elective
Spring session
Choose one of
|
301259
|
Work Internship for Science Professionals
|
|
301261
|
Complex Case Studies in Science
|
And one elective
Year 3
Autumn session
|
301250
|
Probabilistic Models and Inference
|
|
301110
|
Applications of Big Data
|
And two electives
Spring session
And three electives
Bachelor of Science (Pathway to Teaching Primary/Secondary)
Qualification for the award of Bachelor of Science (Pathway to Teaching Primary/Secondary) with a major in Data Science requires the successful completion of 240 credit points as per the recommended sequence for the Bachelor of Science with a major in Mathematics, given above.
In addition, all students must complete the mandatory 40 credit point sub-major in Education Studies
SM1100 Education Studies
Students must meet this requirement by choosing the units from SM1100 as electives within their Bachelor of Science program.
Bachelor of Advanced Science
Qualification for the award of Bachelor of Advanced Science with a major in Data Science requires the successful completion of 240 credit points as per the recommended sequence below.
Full-time
Year 1
Autumn session
Spring session
|
300580
|
Programming Fundamentals
|
Choose one of
And one elective
Year 2
Autumn session
|
300937
|
Advanced Science Project A
|
Spring session
|
300938
|
Advanced Science Project B
|
Choose one of
|
301259
|
Work Internship for Science Professionals
|
|
301261
|
Complex Case Studies in Science
|
Year 3
Autumn session
|
301250
|
Probabilistic Models and Inference
|
|
301258
|
Advanced Science Research Project C
|
|
301110
|
Applications of Big Data
|
And one elective
Spring session
|
301258
|
Advanced Science Research Project C
|
And two electives
Diploma in Science/Bachelor of Science
Qualification for this award requires the successful completion of 250 credit points which include the units listed in the recommended sequence below.
Full-time
Year 1: College Units
Standard 3 Term year
Preparatory Unit
Eight University Level units
|
700122
|
Essential Chemistry 2 (WSTC)
|
|
700124
|
Scientific Literacy (WSTC)
|
|
700155
|
Introductory Chemistry (WSTC)
|
|
700123
|
Quantitative Thinking (WSTC)
|
Choose two of (depending on the testamur major chosen)
|
700266
|
Concepts in Human Anatomy (WSTC)
|
|
700061
|
Introduction to Human Biology (WSTC)
|
|
700295
|
Concepts in Human Physiology (WSTC)
|
|
700297
|
Management of Aquatic Environments (WSTC)
|
|
700296
|
Environmental Issues and Solutions (WSTC)
|
|
700298
|
Water Quality Assessment and Management (WSTC)
|
Year 2
Autumn session
Spring session
|
300580
|
Programming Fundamentals
|
Choose one of
|
301259
|
Work Internship for Science Professionals
|
|
301261
|
Complex Case Studies in Science
|
Year 3
Autumn session
|
301250
|
Probabilistic Models and Inference
|
|
301110
|
Applications of Big Data
|
And two electives
Spring session
And three electives