Biological Modelling and Simulation (MAST30032) // Eligibility and requirements
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Eligibility and requirements
Prerequisites
Undergraduate students:
Undergraduate students must complete either one of the following pathways:
1. Normal Pathway
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10002 | Foundations of Algorithms |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
AND
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BIOL10010 | Introductory Biology: Life's Complexity | Semester 2 (On Campus - Parkville) |
12.5 |
BIOL10011 | Biology: Life's Complexity | Semester 2 (On Campus - Parkville) |
12.5 |
BIOL10005 Genetics and The Evolution of Life
AND
Two of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BCMB20002 | Biochemistry and Molecular Biology |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
CEDB20003 | Fundamentals of Cell Biology | Semester 1 (On Campus - Parkville) |
12.5 |
GENE20001 | Foundations of Genetics and Genomics | Semester 1 (On Campus - Parkville) |
12.5 |
GENE20004 | Applications of Genetics and Genomics | Semester 2 (On Campus - Parkville) |
12.5 |
MIIM20001 | Principles of Microbiology & Immunology | Semester 1 (On Campus - Parkville) |
12.5 |
GENE20002 Genes and Genomes (BSc pre-2020)
AND
One of the following subject sets (A, B, or C):
Set A:
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10006 | Calculus 2 |
Summer Term (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
MAST10021 | Calculus 2: Advanced | Semester 2 (On Campus - Parkville) |
12.5 |
AND
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10007 | Linear Algebra |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
Summer Term (Dual-Delivery - Parkville)
|
12.5 |
MAST10022 | Linear Algebra: Advanced | Semester 1 (On Campus - Parkville) |
12.5 |
AND
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20031 | Analysis of Biological Data | Semester 1 (On Campus - Parkville) |
12.5 |
Set B:
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10006 | Calculus 2 |
Summer Term (Dual-Delivery - Parkville)
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
MAST10021 | Calculus 2: Advanced | Semester 2 (On Campus - Parkville) |
12.5 |
AND
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10007 | Linear Algebra |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
Summer Term (Dual-Delivery - Parkville)
|
12.5 |
MAST10022 | Linear Algebra: Advanced | Semester 1 (On Campus - Parkville) |
12.5 |
AND
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST10010 | Data Analysis 1 | Semester 2 (On Campus - Parkville) |
12.5 |
Set C:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20005 | Statistics |
Semester 2 (On Campus - Parkville)
Summer Term (Dual-Delivery - Parkville)
|
12.5 |
2. Advanced Mathematical Pathway
Code | Name | Teaching period | Credit Points |
---|---|---|---|
MAST20030 | Differential Equations | Semester 2 (On Campus - Parkville) |
12.5 |
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10001 | Foundations of Computing |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Summer Term (Dual-Delivery - Parkville)
|
12.5 |
COMP20005 | Intro. to Numerical Computation in C |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
PHYC20013 | Laboratory and Computational Physics 2 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Other evidence of competence in computer programming can also be provided to meet this pre-requisite, including passing a relevant Year 12 school subject, or a statement of achievement
from a relevant MOOC, or passing a programming competency test administered by
another University of Melbourne School.
Graduate students:
Admission into the MC-COMPBIO Master of Computational Biology
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 31 January 2024