Specialisation

Major - Data Science

Western Sydney University Major Code: MT3032.1

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


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.


Location

Campus Mode Specialisation Advice
Parramatta Campus - Victoria Road Internal Dr Laurence Park

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

300672 Mathematics 1A
300802 Biodiversity
300808 Introductory Chemistry
301108 Thinking About Data

Spring session

300811 Scientific Literacy
300580 Programming Fundamentals

Choose one of

300803 Essential Chemistry 2
300816 Cell Biology

And one elective

Year 2

Autumn session

200025 Discrete Mathematics
301107 Analytics Programming
301109 Visual Analytics

And one elective

Spring session

300958 Social Web Analytics
301034 Predictive Modelling

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

And three electives

Spring session

301110 Applications of Big Data
301111 Discovery Project

And two 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

300672 Mathematics 1A
300802 Biodiversity
300808 Introductory Chemistry
301108 Thinking About Data

Spring session

300811 Scientific Literacy
300580 Programming Fundamentals

Choose one of

300803 Essential Chemistry 2
300816 Cell Biology

And one elective

Year 2

Autumn session

200025 Discrete Mathematics
301107 Analytics Programming
301109 Visual Analytics
300937 Advanced Science Project A

Spring session

300958 Social Web Analytics
301034 Predictive Modelling
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

And two electives

Spring session

301110 Applications of Big Data
301111 Discovery Project
301258 Advanced Science Research Project C

And one elective

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 three term year

Preparatory Unit

700043 Chemistry (WSTC Prep)

Eight University Level units

700125 Cell Biology (WSTC)
700122 Essential Chemistry 2 (WSTC)
700124 Scientific Literacy (WSTC)
700155 Introductory Chemistry (WSTC)
700095 Biodiversity (WSTC)
700123 Quantitative Thinking (WSTC)

Choose two of (depending on the testamur major chosen)

700266 Concepts in Human Anatomy (WSTC)
700265 Food Science 1 (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

200025 Discrete Mathematics
301107 Analytics Programming
301109 Visual Analytics
301108 Thinking About Data
301104 Professional Practice and Building Law

Spring session

300580 Programming Fundamentals
300958 Social Web Analytics
301034 Predictive Modelling

Choose one of

301259 Work Internship for Science Professionals
301261 Complex Case Studies in Science

Year 3

Autumn session

301250 Probabilistic Models and Inference

And three electives

Spring session

301110 Applications of Big Data
301111 Discovery Project

And two electives



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