Handbook home
Graduate Diploma in Data Science (GD-DATASC) // Course structure
About this course
Principal Coordinator
Trevor Cohn
Principal Coordinator
Howard Bondell
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:
- COMP90038 Algorithms and Complexity (12.5 points)
- COMP90041 Programming and Software Development (12.5 points)
- INFO90002 Database Systems & Information Modelling (12.5 points)
- COMP90049 Knowledge Technologies (12.5 points)
- MAST90105 Methods of Mathematical statistics (25 points)
- MAST90104 A First Course In Statistical Learning (25 points)
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)
- COMP90038 Algorithms and Complexity (12.5 points)
- COMP90041 Programming and Software Development (12.5 points)
- INFO90002 Database Systems & Information Modelling (12.5 points)
- COMP90049 Knowledge Technologies (12.5 points)
- MAST90105 Methods of Mathematical statistics (25 points)
- MAST90104 A First Course In Statistical Learning (25 points)
Computer Science Stream (for students with some 2nd year CS subjects)
- COMP90007 Internet Technologies
- COMP90049 Knowledge Technologies (12.5 points)
- MAST90105 Methods of Mathematical statistics (25 points)
- MAST90104 A First Course In Statistical Learning (25 points), and
- INFO90002 Database Systems & Information Modelling (12.5 points) or COMP90050 Advanced Database Systems (12.5 points)
- COMP90038 Algorithms and Complexity (12.5 points) or COMP30026 Models of Computation (12.5 points)
Statistics Stream (for students with some 2nd year Probability or Statistics, but little or no Computer Science)
- COMP90059 Introduction to Python (12.5 points)
- COMP90038 Algorithms and Complexity (12.5 points)
- COMP90041 Programming and Software Development (12.5 points)
- INFO90002 Database Systems & Information Modelling (12.5 points)
- MAST90104 A First Course In Statistical Learning (25 points)
And two of:
- MAST30020 Probability for Inference
- MAST30001 Stochastic Modelling
- MAST30033 Statistical Genomics
- MAST90083 Computational Statistics and Data Mining
Commerce and Arts Stream (for students with 1st year Maths only but no Computer Science)
-
COMP90059 Introduction to Python (12.5 points)
-
COMP90038 Algorithms and Complexity (12.5 points)
-
COMP90041 Programming and Software Development (12.5 points)
-
INFO90002 Database Systems & Information Modelling (12.5 points)
-
MAST90105 Methods of Mathematical statistics (25 points)
-
MAST90104 A First Course In Statistical Learning (25 points)
Last updated: 5 May 2024