Master of Science in Quantitative Biology and Bioinformatics

Master

In Canberra (Australia)

Price on request

Description

  • Type

    Master

  • Location

    Canberra (Australia)

  • Start date

    Different dates available

  • Credits

    96

The Master of Science in Quantitative Biology and Bioinformatics is a 2 year full-time (or equivalent part-time) degree that provides students with experience in the use of methods and tools to organise and analyse biological data, statistically, mathematically and computationally. The course caters to a range of students including (1) students who have come from an undergraduate biological degree, by providing the appropriate mathematical and programming skills; (2) to students with a more quantitative undergraduate background, by providing the necessary background in biology and biological data and analyses. Students also have the opportunity to learn about, and apply, techniques in client engagement and the real-world practice of consulting.

Facilities

Location

Start date

Canberra (Australia)
See map
The Australian National University, ACT 0200

Start date

Different dates availableEnrolment now open

About this course

A Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0, with at least 8 courses in a cognate area.
Cognate Disciplines
Computer science, mathematics, statistics, biology, computational chemistry
English Language Requirements
All applicants must meet the University’s English Language Admission Requirements for Students.
Assessment of Qualifications ification that best meets the admission requirements for the program. Find out more about the Australian Qualifications Framework:
ANU uses a 7-point Grade Point Average (GPA) scale. All qualifications submitted for...

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Reviews

Subjects

  • Biology
  • Consulting
  • Public
  • Bioinformatics
  • Programming

Course programme

A minimum of 24 units must come from completion of 8000-level courses.

18 units from completion of courses from the following list:

BIOL6200 Introduction to Quantitative Biology
STAT7001 Applied Statistics

A maximum of 6 units from completion of a course from the following list:

BIOL6035 Biology 1: Evolution, Ecology and Genetics
BIOL6036 Biology 2: Molecular and Cell Biology

A maximum of 6 units from completion of a course from the following list:

COMP6730 Programming for Scientists
COMP7230 Introduction to programming for Data Scientists

6 units from completion of a Foundations in Quantitative Biology and Bioinformatics course from the following list:

BIOL8002 Advanced Topics in Quantitative Biology and Bioinformatics
COMP8430 Data wrangling
MATH6100 Bioinformatics and Biological Modelling
STAT6039 Principles of Mathematical Statistics

A minimum of 12 units from completion of Science in Society Courses from the following list:

6 units from completion of the following compulsory course:

BIOL8001 Consulting in Quantitative Biology

A minimum of 6 units from completion of courses in the following list

BIOL6191 Biology, Society and Ethics
BIOL6201 Big Questions in Biology
ENVS6013 Society and Environmental Change
POGO8093 Science, Innovation and Public Policy
SCOM8014 Communicating Science with the Public
SCOM6012 Science Communication and the Web
SCOM6003 Science in Popular Fiction
SCOM6015 Speaking of Science
SCOM6016 Science in the Media
SCOM6017 Science Events for Public Engagement
SCOM6027 Science and Public Policy
SCOM6029 Cross Cultural Perspectives in Science Communication
SCOM6030 Science Dialogue Theory and Practice
SCOM6031 Science, Risk and Ethics
SCOM6032 Making Modern Science
SCOM6501 Strategies in Science Communication
SCNC8000 Science Internship
VCPG6003 Leadership and Influence in a Complex World
VCPG6004 Creating Impact
VCPG6002 Mobilising Research
VCPG6001 Unravelling Complexity

18 units from completion of Extensions in Quantitative Biology and Bioinformatics courses from the following list:

COMP8410 Data Mining
BIOL6243 Bioinformatics and Functional Genomics
MATH6208 Advanced Mathematical Bioinformatics
STAT7004 Introduction to Stochastic Processes

A maximum of 18 units from completion of further courses from

Foundations in Quantitative Biology and Bioinformatics courses list

24 units from completion of 6000, 7000 or 8000-level courses from the following subject areas:

BIOL Biology
COMP Computer Science
MATH Mathematics
STAT Statistics
ENGN Engineering

Master of Science in Quantitative Biology and Bioinformatics

Price on request