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Master of Data Science (MC-DATASC) // Course structure
About this course
Coordinator
Karim Seghouane
Coordinator
Michael Kirley
Contact
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Contact Stop 1
Future students:
- Further information: http://science.unimelb.edu.au/
Course structure
This 200 point Master is based around
- 75 points of compulsory subjects: three core subjects in statistics (37.5 points), three core subjects in computer science (37.5 points);
- 25 points of a capstone project;
- 50 points of prerequisite subjects; and 50 points of electives.
Subject options
‘Prerequisite’ Subjects (up to 50 points depending on educational background)
It is expected that students admitted into the course will have either computer science or statistics background, though some students may have a mix of both.
- If a student has a computer science background, they will be required to complete statistics subjects in their first year as part of their elective component to satisfy the prerequisites for the Statistics core subjects
- If the student has Statistics background, they will need to complete computer science subjects in their first year as part of their elective component to satisfy the prerequisites for the Computer Science core subjects
Dependent upon educational background students may need to take up to 50 points of the following:
Students entering with a Computer Science background may need to take
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90105 | Methods of Mathematical Statistics | Semester 1 (On Campus - Parkville) |
25 |
MAST90104 | A First Course In Statistical Learning | Semester 2 (On Campus - Parkville) |
25 |
Students entering with a Statistics background may need to take:
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90041 | Programming and Software Development |
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 |
COMP20008 | Elements of Data Processing |
Semester 1 (On Campus - 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 |
Students entering with a Data Science background equivalent to both a Statistics and Computer Science major are able to accelerate through to a 150 point program.
Core (100 points):
Students must take:
Statistics core subjects
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90139 | Statistical Modelling for Data Science | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90138 | Multivariate Statistics for Data Science | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90083 | Computational Statistics & Data Science | Semester 2 (On Campus - Parkville) |
12.5 |
Computer Science core subjects
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90024 | Cluster and Cloud Computing | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90050 | Advanced Database Systems |
Semester 1 (Dual-Delivery - Parkville)
Winter Term (Dual-Delivery - Parkville)
|
12.5 |
COMP90051 | Statistical Machine Learning |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Capstone Project
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90106 | Data Science Project Pt1 | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90107 | Data Science Project Pt2 | Semester 2 (On Campus - Parkville) |
12.5 |
DATA SCIENCE RESEARCH PROJECT*
*Students who maintain a WAM of 80 in Data Science subjects will be eligible to undertake a 25-point individual research project in Data Science as the capstone project, to replace MAST90106 and MAST90107. Students must propose a research topic and confirm the name of project supervisor (from either the School of Mathematics and Statistics or the School of Computing and Information Systems) before seeking approval to enroll in MAST90108 and MAST90109 from the course coordinator.
Code | Name | Study period | Credit Points |
---|---|---|---|
MAST90108 | Data Science Research Project Pt1 |
Summer Term (Dual-Delivery - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST90109 | Data Science Research Project Pt2 |
Summer Term (Dual-Delivery - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Electives: (50 points)
The remainder of the 200 points are made up subjects that may include Discipline Elective Subjects, Professional Skills Subjects, or elective subjects outside of the discipline electives with the approval of the course coordinator.
Discipline Elective Subjects
Code | Name | Study period | Credit Points |
---|---|---|---|
COMP90007 | Internet Technologies |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90014 | Algorithms for Bioinformatics | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90015 | Distributed Systems |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90016 | Computational Genomics | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90018 | Mobile Computing Systems Programming | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90020 | Distributed Algorithms | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90025 | Parallel and Multicore Computing | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90042 | Natural Language Processing | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90043 | Cryptography and Security | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90045 | Programming Language Implementation | Not available in 2023 | 12.5 |
COMP90046 | Constraint Programming | Not available in 2023 | 12.5 |
COMP90048 | Declarative Programming | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90054 | AI Planning for Autonomy |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
COMP90056 | Stream Computing and Applications | Not available in 2023 | 12.5 |
COMP90057 | Advanced Theoretical Computer Science | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90073 | Security Analytics | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90084 | Quantum Software Fundamentals | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90086 | Computer Vision | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90087 | The Ethics of Artificial Intelligence | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
COMP90088 | Cryptocurrencies & decentralised ledgers | Not available in 2023 | 12.5 |
COMP90089 | Machine Learning Applications for Health | Semester 2 (On Campus - Parkville) |
12.5 |
ISYS90035 | Knowledge Management Systems | Semester 2 (On Campus - Parkville) |
12.5 |
GEOM90006 | Spatial Data Analytics | Semester 1 (On Campus - Parkville) |
12.5 |
GEOM90007 | Information Visualisation | Semester 2 (Online) |
12.5 |
GEOM90008 | Spatial Data Management |
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
MAST90014 | Optimisation for Industry | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90019 | Random Processes | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90027 | Practice of Statistics & Data Science | Not available in 2023 | 12.5 |
MAST90051 | Mathematics of Risk | Not available in 2023 | 12.5 |
MAST90059 | Stochastic Calculus with Applications | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90081 | Advanced Probability | Semester 2 (On Campus - Parkville) |
12.5 |
MAST90082 | Mathematical Statistics | Semester 1 (On Campus - Parkville) |
12.5 |
MAST90111 | Advanced Statistical Modelling | Not available in 2023 | 12.5 |
MAST90125 | Bayesian Statistical Learning | Semester 2 (On Campus - Parkville) |
12.5 |
Professional Skills Subjects
Students may take no more than 25 points of the following:
Code | Name | Study period | Credit Points |
---|---|---|---|
EDUC90839 | Science in Schools | Not available in 2023 | 12.5 |
SCIE90017 | Science and Technology Internship |
Summer Term (Off Campus)
Semester 1 (Off Campus)
Semester 2 (Off Campus)
|
12.5 |
SCIE90034 | Communicating Science at Work | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
Last updated: 10 November 2023