Graduate Diploma in Data Science (GD-DATASC) // Course structure
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 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90041 | Programming and Software Development |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
INFO90002 | Database Systems & Information Modelling |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP20008 | Elements of Data Processing |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90105 | Methods of Mathematical Statistics | Semester 1 (On Campus - Parkville) |
25 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90104 | A First Course In Statistical Learning | Semester 2 (On Campus - Parkville) |
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 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90041 | Programming and Software Development |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
INFO90002 | Database Systems & Information Modelling |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP20008 | Elements of Data Processing |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90105 | Methods of Mathematical Statistics | Semester 1 (On Campus - Parkville) |
25 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90104 | A First Course In Statistical Learning | Semester 2 (On Campus - Parkville) |
25 |
Computer Science Stream (for students with some 2nd year CS subjects)
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90007 | Internet Technologies |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP20008 | Elements of Data Processing |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90105 | Methods of Mathematical Statistics | Semester 1 (On Campus - Parkville) |
25 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90104 | A First Course In Statistical Learning | Semester 2 (On Campus - Parkville) |
25 |
And one of:
Code | Name | Study period | Credit Points |
---|---|---|---|
INFO90002 | Database Systems & Information Modelling |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90050 | Advanced Database Systems |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
And one of:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90038 | Algorithms and Complexity |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP30026 | Models of Computation | Semester 2 (On Campus - Parkville) |
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 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90038 | Algorithms and Complexity |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90041 | Programming and Software Development |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
INFO90002 | Database Systems & Information Modelling |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90104 | A First Course In Statistical Learning | Semester 2 (On Campus - Parkville) |
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 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90038 | Algorithms and Complexity |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90041 | Programming and Software Development |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
INFO90002 | Database Systems & Information Modelling |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90105 | Methods of Mathematical Statistics | Semester 1 (On Campus - Parkville) |
25 |
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90104 | A First Course In Statistical Learning | Semester 2 (On Campus - Parkville) |
25 |
Last updated: 21 February 2025