This course commences in Autumn 2021.
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.
Code
|
Name
|
M3110
|
Artificial Intelligence
|
Code
|
Name
|
M3097
|
Health Informatics
|
Code
|
Name
|
SM3080
|
Astroinformatics
|
Code
|
Name
|
SM1117
|
Digital Cultures
|
Code
|
Name
|
SM2054
|
Global Sustainability
|
Code
|
Name
|
SM3025
|
Mathematics
|
Code
|
Name
|
SM3089
|
Statistics
|
Recommended sequence for start-year intake
Code
|
Name
|
300811
|
Scientific Literacy
|
Code
|
Name
|
301108
|
Thinking About Data
|
Code
|
Name
|
200025
|
Discrete Mathematics
|
Code
|
Name
|
300580
|
Programming Fundamentals
|
Code
|
Name
|
300672
|
Mathematics 1A
|
Code
|
Name
|
301033
|
Introduction to Data Science
|
And two major, sub major or elective units
Code
|
Name
|
301107
|
Analytics Programming
|
Code
|
Name
|
301109
|
Visual Analytics
|
And two major, sub major or elective units
Code
|
Name
|
301034
|
Predictive Modelling
|
Code
|
Name
|
300104
|
Database Design and Development
|
Code
|
Name
|
300958
|
Social Web Analytics
|
Code
|
Name
|
301031
|
Computer Algebra
|
Code
|
Name
|
301250
|
Probabilistic Models and Inference
|
Code
|
Name
|
300578
|
Professional Development
|
And two major, sub major or elective units
Code
|
Name
|
301110
|
Applications of Big Data
|
Code
|
Name
|
301111
|
Discovery Project
|
And two major, sub major or elective units
Recommended sequence for mid-year intake
Code
|
Name
|
300672
|
Mathematics 1A
|
Code
|
Name
|
300811
|
Scientific Literacy
|
Code
|
Name
|
300580
|
Programming Fundamentals
|
Code
|
Name
|
301033
|
Introduction to Data Science
|
Code
|
Name
|
301108
|
Thinking About Data
|
Code
|
Name
|
200025
|
Discrete Mathematics
|
Code
|
Name
|
301107
|
Analytics Programming
|
Code
|
Name
|
301109
|
Visual Analytics
|
Code
|
Name
|
300104
|
Database Design and Development
|
Code
|
Name
|
301031
|
Computer Algebra
|
Code
|
Name
|
301034
|
Predictive Modelling
|
And one major, sub-major or elective unit
Code
|
Name
|
301250
|
Probabilistic Models and Inference
|
And three major, sub-major or elective units
Code
|
Name
|
301110
|
Applications of Big Data
|
Code
|
Name
|
301111
|
Discovery Project
|
Code
|
Name
|
300958
|
Social Web Analytics
|
And one major, sub-major or elective unit
Code
|
Name
|
300578
|
Professional Development
|
And three major, sub-major or elective units