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Master of Science (Bioinformatics) (MC-SCIBIF)

Masters (Coursework)Year: 2017 Delivered: On Campus (Parkville)

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Overview

Award titleMaster of Science
Year & campus2017 — Parkville
CRICOS code094592D
Fees informationSubject EFTSL, level, discipline and census date
Study level & typeGraduate Coursework
AQF level 9
Credit points200 credit points
Duration24 months full time or 48 months part time

The Master of Science (Bioinformatics) is a coursework masters degree incorporating a substantial research project.
The Master of Science gives students the opportunity to undertake a substantive research project in a field of choice as well as a broad range of coursework subjects including a professional skills component, as a pathway to PhD study or to the workforce.

Entry requirements

In order to be considered for entry, applicants must have completed:

  • an undergraduate degree in a discipline appropriate to the stream of the Master of Science into which entry is sought, with a weighted average mark of at least H3 (65%) in the best 50 points in appropriate discipline studies at third year; and
  • appropriate prerequisite studies for the stream into which entry is sought.

For stream specific requirements please click here.

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Meeting these requirements does not guarantee selection.

In ranking applications, the Selection Committee will consider prior academic performance.

The Selection Committee may seek further information to clarify any aspect of an application in accordance with the Academic Board rules on the use of selection instruments.

Applicants are required to satisfy the university’s English language requirements for postgraduate courses. For those applicants seeking to meet these requirements by one of the standard tests approved by the Academic Board, performance band 6.5 is required.

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Notes:

  • Quotas may be applied to the degree as a whole, or to an individual stream, and preference may be given to applicants with evidence of appropriate preparation or potential to undertake research.
  • Entry into a stream of the Master of Science is subject to the capacity of the department(s) or schools(s) offering the program stream to provide adequate supervision in a research project appropriate to the interests and preparation of the individual student and may be subject to the agreement of a member of academic staff to supervise the project module.

Core participation requirements

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.The University is dedicated to providingsupport to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website. http://www.services.unimelb.edu.au/disability/

Intended learning outcomes

The objectives of this course are to provide students with:

  • a broad education in bioinformatics with strong foundations in computer science, biology, and statistics;
  • significant experience in a specific area of bioinformatics;
  • ability to conduct independent research in bioinformatics; and
  • potential to proceed to a PhD degree.

Graduate attributes

Graduates will:

  • have the ability to demonstrate advanced independent critical enquiry, analysis and reflection;
  • have a strong sense of intellectual integrity and the ethics of scholarship;
  • have in-depth knowledge of their specialist discipline(s);
  • reach a high level of achievement in writing, research or project activities, problem-solving and communication;
  • be critical and creative thinkers, with an aptitude for continued self-directed learning;
  • be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines;
  • have a set of flexible and transferable skills for different types of employment; and
  • be able to initiate and implement constructive change in their communities, including professions and workplaces.

Course structure

Students undertaking the Master of Science - Bioinformatics program will complete 200 points comprising:

  • Discipline subjects (137.5 points) including compulsory subjects listed for each specialisation plus electives;
  • Professional Skills subject (12.5 points);
  • Research Project (50 points), commencing in Semester 2.

Exemptions will be granted for students who have completed equivalent subjects in their undergraduate studies.

Subject options

First year Core Coursework - Biology/Biomedicine stream (for students with a biology /biomedicine background)

Students must take:

Code Name Study period Credit Points
MAST90057 Elements of Probability
Semester 1
12.5
BINF90002 Elements of Bioinformatics
Semester 1
12.5
MAST90058 Elements of Statistics
Semester 2
12.5
COMP90038 Algorithms and Complexity
Semester 1
Semester 2
12.5

and one of:

Code Name Study period Credit Points
COMP90059 Introduction to Python Programming
February
12.5
ISYS90088 Introduction to Application Development
Semester 2
12.5

Elective subjects

and two 12.5 point elective subjects selected in consultation with the Course Coordinator.

First year Core Coursework - Mathematics/Statistics stream (for students with a mathematics and statistics background)

Students must take:

Code Name Study period Credit Points
GENE90019 Genes Molecules and Cells
Semester 1
25
BINF90002 Elements of Bioinformatics
Semester 1
12.5
COMP90038 Algorithms and Complexity
Semester 1
Semester 2
12.5
PHYS20008 Human Physiology
Semester 1
Semester 2
12.5

and one of:

Code Name Study period Credit Points
COMP90059 Introduction to Python Programming
February
12.5
ISYS90088 Introduction to Application Development
Semester 2
12.5

Elective subjects

and one 12.5 point elective subject selected in consultation with the Course Coordinator.

First year Core Coursework - Computer Science stream (for students with a computing background)

Students must take:

Code Name Study period Credit Points
GENE90019 Genes Molecules and Cells
Semester 1
25
MAST90057 Elements of Probability
Semester 1
12.5
BINF90002 Elements of Bioinformatics
Semester 1
12.5
MAST90058 Elements of Statistics
Semester 2
12.5
PHYS20008 Human Physiology
Semester 1
Semester 2
12.5

Elective subjects

and one 12.5 point elective subject selected in consultation with the Course Coodinator.

Second year - All streams

Students must take:

Code Name Study period Credit Points
BINF90001 Statistics for Bioinformatics
Semester 1
12.5
BINF90004 Bioinformatics Case Studies
Semester 2
12.5
COMP90014 Algorithms for Functional Genomics
Semester 2
12.5
SCIE90013 Communication for Research Scientists
Semester 1
12.5

and one of the following subjects:

Code Name Study period Credit Points
COMP90016 Computational Genomics
Semester 1
12.5
BTCH90009 Genomics and Bioinformatics
Semester 1
12.5

Research Project (50 points)

All students undertake a research project for a total of 50 points. The research project comprises of a series of three or four consecutive subjects commencing in the first or second semester of enrolment. The following research project structures are possible. Students will determine which stream they follow in consultation with the project coordinator.

Stream A

Code Name Study period Credit Points
BINF90008 Bioinformatics Research Project Pt 1
February
July
12.5
BINF90009 Bioinformatics Research Project Pt 2
January
July
12.5
BINF90010 Bioinformatics Research Project Pt 3
January
July
25

Stream B

Code Name Study period Credit Points
BINF90008 Bioinformatics Research Project Pt 1
February
July
12.5
BINF90009 Bioinformatics Research Project Pt 2
January
July
12.5
BINF90011 Bioinformatics Research Project Pt 3
January
July
12.5
BINF90012 Bioinformatics Research Project Pt 4
January
July
12.5

Stream C

Code Name Study period Credit Points
BINF90013 Bioinformatics Research Project Pt 1
February
July
25
BINF90014 Bioinformatics Research Project Pt 2
July
25

Further study

The Master of Science offers a pathway to a PhD.

Last updated: 8 August 2019