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Graduate Diploma in Data Science (GD-DATASC) // Course structure
About this course
Coordinator
Michael Kirley
Coordinator
Karim Seghouane
Course structure
This 100 point Diploma is based around
- 50 points of subjects in statistics; and
- 50 points of subjects in computer science
in order to provide students with a background in the core statistical and computing concepts and technologies to confer basic proficiency in data science, and provide a bridge to future study in the area.
The diploma is based around the following standard list of subjects:
Code
Name
Study period
Credit Points
COMP90038
Algorithms and Complexity
12.5
Code
Name
Study period
Credit Points
COMP90041
Programming and Software Development
12.5
Code
Name
Study period
Credit Points
INFO90002
Database Systems & Information Modelling
12.5
COMP20008
Elements of Data Processing
12.5
Code
Name
Study period
Credit Points
MAST90105
Methods of Mathematical Statistics
25
Code
Name
Study period
Credit Points
MAST90104
A First Course In Statistical Learning
25
which total 100 points, although note the exemptions outlined below for specific streams.
Students admitted into the course will come from a variety of backgrounds, some having no computer science and statistics backgrounds, while other students may have limited background in either or both areas. Students who have already studied some of the Core subjects listed above, or their equivalents, may be granted exemption from these subjects. In these cases students will need to take additional subjects to yield 100 points in total, with 50 points coming from each of the two disciplines, based on one of the following ‘streams’:
Engineering and Science Stream (for students with 1st year Maths and Computer Science only)
Code
Name
Study period
Credit Points
COMP90038
Algorithms and Complexity
12.5
Code
Name
Study period
Credit Points
COMP90041
Programming and Software Development
12.5
Code
Name
Study period
Credit Points
INFO90002
Database Systems & Information Modelling
12.5
COMP20008
Elements of Data Processing
12.5
Code
Name
Study period
Credit Points
MAST90105
Methods of Mathematical Statistics
25
Code
Name
Study period
Credit Points
MAST90104
A First Course In Statistical Learning
25
Computer Science Stream (for students with some 2nd year CS subjects)
Code
Name
Study period
Credit Points
COMP90007
Internet Technologies
12.5
COMP20008
Elements of Data Processing
12.5
MAST90105
Methods of Mathematical Statistics
25
MAST90104
A First Course In Statistical Learning
25
And one of:
Code
Name
Study period
Credit Points
INFO90002
Database Systems & Information Modelling
12.5
COMP90050
Advanced Database Systems
12.5
And one of:
Code
Name
Study period
Credit Points
COMP90038
Algorithms and Complexity
12.5
COMP30026
Models of Computation
12.5
Statistics Stream (for students with some 2nd year Probability or Statistics, but little or no Computer Science)
Code
Name
Study period
Credit Points
COMP90059
Introduction to Programming
12.5
Code
Name
Study period
Credit Points
COMP90038
Algorithms and Complexity
12.5
Code
Name
Study period
Credit Points
COMP90041
Programming and Software Development
12.5
Code
Name
Study period
Credit Points
INFO90002
Database Systems & Information Modelling
12.5
Code
Name
Study period
Credit Points
MAST90104
A First Course In Statistical Learning
25
And two of:
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90138 | Multivariate Statistics for Data Science | Semester 2 (On Campus - Parkville) |
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90139 | Statistical Modelling for Data Science | Semester 1 (On Campus - Parkville) |
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90083 | Computational Statistics & Data Science | Semester 2 (On Campus - Parkville) |
12.5 |
Commerce and Arts Stream (for students with 1st year Maths only but no Computer Science)
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90059 | Introduction to Programming |
Summer Term (Dual-Delivery - Parkville)
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90041 | Programming and Software Development |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
INFO90002 | Database Systems & Information Modelling |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST90105 | Methods of Mathematical Statistics | Semester 1 (On Campus - Parkville) |
25 |
MAST90104 | A First Course In Statistical Learning | Semester 2 (On Campus - Parkville) |
25 |
Last updated: 26 March 2024