The Master of Science (Extension) aims to renew and broaden students' scientific and industry experience with managerial and business acumen.
It provides students with numerous opportunities by value-adding to their existing specialisations and bringing them up to speed on knowledge and technologies, or by expanding into different majors of interest to acquire professional and management skills.The course contains a compulsory core of professional subjects relevant to all science disciplines.
The subjects in the core provide a backbone of skills important to a professional scientist;
be they engaged in research, science businesses, industries or government organisations.
These are the skills of communication, critical analysis, project management and innovation and commercialisation.
The professional strand is complemented by a choice of major study in a specific science or mathematics discipline.
Students may have the option of undertaking a small research project, subject to approval by the faculty.
For students with suitable achievement levels, an opportunity to undertake a more substantial research project is available by transferring into the Master of Philosophy in Science (C04267).
For those considering a research degree, the Master of Philosophy in Science (C04267) provides a pathway to a PhD.
The final session of electives allows students to complement their existing skill set using tailored subjects from related disciplines across health, engineering and business.
The course requires 96 credit points of study, comprising 24 credit points of professional stream subjects, a 48-credit-point major and 24 credit points of electives.
A non-specified major in which cross-disciplinary subject selection is possible is also offered.
Course completion requirements
|
course
|
credit
|
|
STM90522 Professional stream
|
24cp
|
|
CBK90906 Major choice (Science)
|
48cp
|
|
CBK90907 Electives (Science)
|
24cp
|
|
Total
|
96cp
|
Course program
Example programs for students commencing in either Autumn or Spring sessions for all majors are shown below.
The Biomedical Engineering major (MAJ03470) contains a mix of subjects from different science and engineering disciplines and example programs are more difficult to predict because subject choices are influenced by prior study. Typical 24-month programs for students admitted in either Autumn or Spring session, with prior backgrounds in either biomedical or physical science are shown below. Depending on selection of electives, the number of elective credit points in a given session may differ from that listed below.
The Marine Science and Management major (MAJ01130) requires two subjects to be chosen from external partner universities and the subject chosen may affect the course duration, depending on session of offer of the selected subject.
Mathematical and Statistical Modelling major, Autumn commencing, full time
Year 1
Autumn session
|
course
|
credit
|
|
37233 Linear Algebra
|
6cp
|
|
60904 Innovation, Entrepreneurship and Commercialisation
|
6cp
|
|
Select 12 credit points from the following:
|
12cp
|
|
CBK90640 Elective
|
|
|
37234 Advanced Calculus
|
|
|
37262 Simulation Modelling
|
|
|
35364 Statistics for Quantitative Finance
|
|
|
37345 Quantitative Management Practice
|
|
|
37356 Design and Analysis of Experiments
|
|
|
37373 Programming for Data Analysis
|
|
Spring session
|
course
|
credit
|
|
68109 Advanced Communication Skills in Science
|
6cp
|
|
60903 Project Management in Science
|
6cp
|
|
Select 12 credit points from the following:
|
12cp
|
|
35365 Stochastic Calculus in Finance
|
|
|
37253 Sample Surveys
|
|
|
37335 Differential Equations
|
|
|
37336 Mathematical Methods
|
|
|
37343 Nonlinear Methods in Quantitative Management
|
|
|
37344 Network and Combinatorial Optimisation
|
|
|
37357 Advanced Statistical Modelling
|
|
|
37363 Stochastic Processes
|
|
|
35112 Mathematical Research Project A
|
|
Year 2
Autumn session
|
course
|
credit
|
|
Select 24 credit points from the following:
|
24cp
|
|
37234 Advanced Calculus
|
|
|
37262 Simulation Modelling
|
|
|
37345 Quantitative Management Practice
|
|
|
37356 Design and Analysis of Experiments
|
|
|
37373 Programming for Data Analysis
|
|
|
35113 Mathematical Research Project B
|
|
|
35114 Mathematical Research Project
|
|
Spring session
|
course
|
credit
|
|
CBK90907 Electives (Science)
|
24cp
|
Mathematical and Statistical Modelling major, Spring commencing, full time
Year 1
Spring session
|
course
|
credit
|
|
60903 Project Management in Science
|
6cp
|
|
68109 Advanced Communication Skills in Science
|
6cp
|
|
Select 12 credit points from the following:
|
12cp
|
|
CBK90640 Elective
|
|
|
37253 Sample Surveys
|
|
|
37335 Differential Equations
|
|
|
37336 Mathematical Methods
|
|
|
37343 Nonlinear Methods in Quantitative Management
|
|
|
37344 Network and Combinatorial Optimisation
|
|
|
37357 Advanced Statistical Modelling
|
|
|
37363 Stochastic Processes
|
|
Year 2
Autumn session
|
course
|
credit
|
|
37233 Linear Algebra
|
6cp
|
|
60904 Innovation, Entrepreneurship and Commercialisation
|
6cp
|
|
Select 12 credit points from the following:
|
12cp
|
|
35364 Statistics for Quantitative Finance
|
|
|
37234 Advanced Calculus
|
|
|
37262 Simulation Modelling
|
|
|
37345 Quantitative Management Practice
|
|
|
37356 Design and Analysis of Experiments
|
|
|
37373 Programming for Data Analysis
|
|
|
35112 Mathematical Research Project A
|
|
Spring session
|
course
|
credit
|
|
Select 24 credit points from the following:
|
24cp
|
|
35365 Stochastic Calculus in Finance
|
|
|
37253 Sample Surveys
|
|
|
37343 Nonlinear Methods in Quantitative Management
|
|
|
37344 Network and Combinatorial Optimisation
|
|
|
37357 Advanced Statistical Modelling
|
|
|
37363 Stochastic Processes
|
|
|
35113 Mathematical Research Project B
|
|
|
35114 Mathematical Research Project
|
|
Year 3
Autumn session
|
course
|
credit
|
|
CBK90907 Electives (Science)
|
24cp
|
Biomedical Engineering major, Physical Science stream, Autumn commencing
Year 1
Autumn session
|
course
|
credit
|
|
91429 Physiological Bases of Human Movement
|
6cp
|
|
68109 Advanced Communication Skills in Science
|
6cp
|
|
48023 Programming Fundamentals
|
6cp
|
|
60904 Innovation, Entrepreneurship and Commercialisation
|
6cp
|
Spring session
|
course
|
credit
|
|
60903 Project Management in Science
|
6cp
|
|
49261 Biomedical Instrumentation
|
6cp
|
|
91239 Human Pathophysiology
|
6cp
|
|
Select 6 credit points from the following:
|
6cp
|
|
91140 Bionanotechnology
|
|
|
91705 Medical Devices and Diagnostics
|
|
|
91708 Medical and Applied Physiology
|
|
|
67509 Molecular Nanotechnology
|
|
Year 2
Autumn session
|
course
|
credit
|
|
Select 24 credit points from the following:
|
24cp
|
|
91171 Biomedical Engineering Project A
|
|
|
91403 Medical Imaging
|
|
|
68075 Nanomaterials
|
|
|
49275 Neural Networks and Fuzzy Logic
|
|
|
91703 Physiological Systems
|
|
|
42026 Biomedical Polymers
|
|
Spring session
|
course
|
credit
|
|
CBK90907 Electives (Science)
|
24cp
|
Biomedical Engineering major, Physical Science stream, Spring commencing
Year 1
Spring session
|
course
|
credit
|
|
68109 Advanced Communication Skills in Science
|
6cp
|
|
60903 Project Management in Science
|
6cp
|
|
91239 Human Pathophysiology
|
6cp
|
|
49261 Biomedical Instrumentation
|
6cp
|
Year 2
Autumn session
|
course
|
credit
|
|
48023 Programming Fundamentals
|
6cp
|
|
60904 Innovation, Entrepreneurship and Commercialisation
|
6cp
|
|
91429 Physiological Bases of Human Movement
|
6cp
|
|
Select 6 credit points from the following:
|
6cp
|
|
68075 Nanomaterials
|
|
|
91403 Medical Imaging
|
|
|
91703 Physiological Systems
|
|
|
49275 Neural Networks and Fuzzy Logic
|
|
|
42026 Biomedical Polymers
|
|
Spring session
|
course
|
credit
|
|
Select 24 credit points from the following:
|
24cp
|
|
91140 Bionanotechnology
|
|
|
91172 Biomedical Engineering Project B
|
|
|
91705 Medical Devices and Diagnostics
|
|
|
91708 Medical and Applied Physiology
|
|
|
67509 Molecular Nanotechnology
|
|
Year 3
Autumn session
|
course
|
credit
|
|
CBK90907 Electives (Science)
|
24cp
|
Biomedical Engineering major, Biomedical Sciences stream, Autumn commencing
Year 1
Autumn session
|
course
|
credit
|
|
68109 Advanced Communication Skills in Science
|
6cp
|
|
60117 Understanding Data and Statistical Design
|
6cp
|
|
60904 Innovation, Entrepreneurship and Commercialisation
|
6cp
|
|
68316 Applied Electronics and Interfacing
|
6cp
|
Spring session
|
course
|
credit
|
|
49261 Biomedical Instrumentation
|
6cp
|
|
91239 Human Pathophysiology
|
6cp
|
|
60903 Project Management in Science
|
6cp
|
|
Select 6 credit points from the following:
|
6cp
|
|
91140 Bionanotechnology
|
|
|
91705 Medical Devices and Diagnostics
|
|
|
91708 Medical and Applied Physiology
|
|
|
67509 Molecular Nanotechnology
|
|
Year 2
Autumn session
|
course
|
credit
|
|
Select 24 credit points from the following:
|
24cp
|
|
91171 Biomedical Engineering Project A
|
|
|
91403 Medical Imaging
|
|
|
68075 Nanomaterials
|
|
|
49275 Neural Networks and Fuzzy Logic
|
|
|
91703 Physiological Systems
|
|
|
48023 Programming Fundamentals
|
|
|
42026 Biomedical Polymers
|
|
Spring session
|
course
|
credit
|
|
CBK90907 Electives (Science)
|
24cp
|
Biomedical Engineering major, Biomedical Sciences stream, Spring commencing
Year 1
Spring session
|
course
|
credit
|
|
68109 Advanced Communication Skills in Science
|
6cp
|
|
60903 Project Management in Science
|
6cp
|
|
91239 Human Pathophysiology
|
6cp
|
|
49261 Biomedical Instrumentation
|
6cp
|
Year 2
Autumn session
|
course
|
credit
|
|
60117 Understanding Data and Statistical Design
|
6cp
|
|
60904 Innovation, Entrepreneurship and Commercialisation
|
6cp
|
|
68316 Applied Electronics and Interfacing
|
6cp
|
|
Select 6 credit points from the following:
|
6cp
|
|
68075 Nanomaterials
|
|
|
91403 Medical Imaging
|
|
|
91703 Physiological Systems
|
|
|
48023 Programming Fundamentals
|
|
|
49275 Neural Networks and Fuzzy Logic
|
|
|
42026 Biomedical Polymers
|
|
Spring session
|
course
|
credit
|
|
Select 24 credit points from the following:
|
24cp
|
|
91140 Bionanotechnology
|
|
|
91172 Biomedical Engineering Project B
|
|
|
91705 Medical Devices and Diagnostics
|
|
|
91708 Medical and Applied Physiology
|
|
|
67509 Molecular Nanotechnology
|
|
Year 3
Autumn session
|
course
|
credit
|
|
CBK90907 Electives (Science)
|
24cp
|
Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.
The English proficiency requirement for international students or local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 176-184.
Eligibility for admission does not guarantee offer of a place.
International students
Visa requirement: To obtain a student visa to study in Australia, international students must enrol full time and on campus. Australian student visa regulations also require international students studying on student visas to complete the course within the standard full-time duration. Students can extend their courses only in exceptional circumstances.
