C04267v3 Master of Philosophy in Science
Award(s): Master of Philosophy in Science in (name of Science major) (MphilSc)CRICOS code: 080272B
Commonwealth supported place?: No
Load credit points: 96
Course EFTSL: 2
Location: City campus
Notes
This course is not offered by direct entry. Admission is via Internal Course Transfer with faculty approval.
Marine Science and Management major is under review in 2021. All intakes for 2021 are suspended until this review is completed.
Overview
Course aims
Career options
Admission requirements
Recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course program
Other information
Overview
The Master of Philosophy in Science provides students with a unique opportunity to undertake original research and gain in-depth knowledge in their particular scientific field. Students have access to staff that are leading researchers and experts in their field. Undertaking this course allows students to explore their research potential and develop research skills. This course is designed to provide a scholarship pathway to the PhD program.
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 in the Marine Science and Management major, for example, are exposed to multidisciplinary and cross-institutional coursework, with a capstone project taught at the Sydney Institute of Marine Science (SIMS) and multiple lecture series and practical components using real-life data from the Australian Integrated Marine Observatory System.
The second half of the course comprises a substantial research component, giving students an opportunity to undertake original, cutting-edge research. For students with suitable achievement levels, this provides a direct pathway to a PhD, and carries points that can be used in the scholarship application process.
Course aims
The course provides graduates with analytic tools and disciplinary knowledge, combined with creative, logical approaches to problem solving and professional skills that facilitate real-world application of the science such as project management, IP management and commercialisation. With a substantial research component, students develop and expand their research skills, which can be utilised either in industry R&D or as the initial foundations of a professional research career.
Career options
Career options vary according to the major chosen, but all graduates have training in the professional attributes that employers seek. The skills learnt expand career horizons and enhance prospects for promotion in the rapidly evolving science professions. Graduates in all majors may also proceed to a career in research through entry to a PhD.
- Graduates of the Biomedical Engineering major are well prepared for careers in medical device and biotechnology companies, government policy and regulation, hospitals, and research organisations where the ability to combine biology and engineering knowledge and skills is required.
- Graduates of the Marine Science and Management major can pursue careers worldwide in private and public agencies, or as private consultants in fields such as policy and conservation, fisheries, environmental sustainability and management, impact assessment, tourism, and education.
- Graduates of the Mathematical and Statistical Modelling major may expect to apply their logistic, statistical and modelling skills in careers in a wide range of diverse organisations and industries, including banking and finance, health, information technology, and market research.
Admission requirements
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.
This program is normally available to students who have commenced in the Master of Science (Extension) (C04265) or Master of Science (C04241), and demonstrated exceptional academic achievement and research potential. Admission is via internal course transfer. Prospective students have to complete the supplementary faculty honours admission form and organise a supervisor and project.
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.
Recognition of prior learning
Students enrolled in this course may be eligible for recognition of prior learning of up to 24 credit points if the subjects previously studied are deemed by UTS: Science to be equivalent to those specified for their course.
To be considered for recognition of prior learning, subjects must normally have been completed no more than five years prior to the commencement of this course.
Course duration and attendance
The course is offered on a two-year, full-time basis.
Course structure
The course requires 96 credit points of study, comprising 24 credit points of professional stream subjects, a 24-credit-point major and a 48-credit-point intensive research component.
This honours component of the course is a research project that extends over the final year and normally takes the form of an experimental, analytical or theoretical investigation. Candidates may also be required to undertake one or more critical reviews of the literature in designated areas and to attend formal classes devoted to advanced coursework. The results of the project are presented in an oral seminar and in a written thesis, both of which are formally assessed.
Course completion requirements
| STM90522 Professional stream | 24cp | |
| CBK90908 Science major choice (Honours) | 24cp | |
| CBK90909 Choice (Honours) | 48cp | |
| 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 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 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 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 | ||
| 37233 Linear Algebra | 6cp | |
| 60904 Innovation, Entrepreneurship and Commercialisation | 6cp | |
| Select 12 credit points from the following: | 12cp | |
| CBK90640 Elective | 6cp | |
| 37234 Advanced Calculus | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| 35364 Statistics for Quantitative Finance | 6cp | |
| 37345 Quantitative Management Practice | 6cp | |
| 37356 Design and Analysis of Experiments | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
| Spring session | ||
| 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 | 6cp | |
| 37253 Sample Surveys | 6cp | |
| 37335 Differential Equations | 6cp | |
| 37336 Mathematical Methods | 6cp | |
| 37343 Nonlinear Methods in Quantitative Management | 6cp | |
| 37344 Network and Combinatorial Optimisation | 6cp | |
| 37357 Advanced Statistical Modelling | 6cp | |
| 37363 Stochastic Processes | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 35506 Mathematics Thesis 1 | 12cp | |
| Select 12 credit points from the following: | 12cp | |
| 35502 Seminar A | 6cp | |
| 35503 Seminar B | 6cp | |
| 35504 Seminar C | 6cp | |
| 35505 Seminar D | 6cp | |
| 37458 Advanced Bayesian Methods | 6cp | |
| 37438 Modern Analysis with Applications | 6cp | |
| Spring session | ||
| 35507 Mathematics Thesis 2 | 12cp | |
| Select 12 credit points from the following: | 12cp | |
| 35502 Seminar A | 6cp | |
| 35503 Seminar B | 6cp | |
| 35504 Seminar C | 6cp | |
| 35505 Seminar D | 6cp | |
| 37464 Advanced Stochastic Processes | 6cp | |
| 37459 Multivariate Data Analysis | 6cp | |
| Mathematical and Statistical Modelling major, Spring commencing, full time | ||
| Year 1 | ||
| Spring session | ||
| 60903 Project Management in Science | 6cp | |
| 68109 Advanced Communication Skills in Science | 6cp | |
| Select 12 credit points from the following: | 12cp | |
| CBK90640 Elective | 6cp | |
| 37253 Sample Surveys | 6cp | |
| 37335 Differential Equations | 6cp | |
| 37336 Mathematical Methods | 6cp | |
| 37343 Nonlinear Methods in Quantitative Management | 6cp | |
| 37344 Network and Combinatorial Optimisation | 6cp | |
| 37357 Advanced Statistical Modelling | 6cp | |
| 37363 Stochastic Processes | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 37233 Linear Algebra | 6cp | |
| 60904 Innovation, Entrepreneurship and Commercialisation | 6cp | |
| Select 12 credit points from the following: | 12cp | |
| 35364 Statistics for Quantitative Finance | 6cp | |
| 37234 Advanced Calculus | 6cp | |
| 37262 Simulation Modelling | 6cp | |
| 37345 Quantitative Management Practice | 6cp | |
| 37356 Design and Analysis of Experiments | 6cp | |
| 37373 Programming for Data Analysis | 6cp | |
| Spring session | ||
| 35507 Mathematics Thesis 2 | 12cp | |
| Select 12 credit points from the following: | 12cp | |
| 35502 Seminar A | 6cp | |
| 35503 Seminar B | 6cp | |
| 35504 Seminar C | 6cp | |
| 35505 Seminar D | 6cp | |
| 37464 Advanced Stochastic Processes | 6cp | |
| 37459 Multivariate Data Analysis | 6cp | |
| Year 3 | ||
| Autumn session | ||
| 35506 Mathematics Thesis 1 | 12cp | |
| Select 12 credit points from the following: | 12cp | |
| 35502 Seminar A | 6cp | |
| 35503 Seminar B | 6cp | |
| 35504 Seminar C | 6cp | |
| 35505 Seminar D | 6cp | |
| 37458 Advanced Bayesian Methods | 6cp | |
| 37438 Modern Analysis with Applications | 6cp | |
| Biomedical Engineering major, Physical Science stream, Autumn commencing, full time | ||
| Year 1 | ||
| Autumn session | ||
| 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 | ||
| 60903 Project Management in Science | 6cp | |
| 49261 Biomedical Instrumentation | 6cp | |
| 91239 Human Pathophysiology | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 91140 Bionanotechnology | 6cp | |
| 91705 Medical Devices and Diagnostics | 6cp | |
| 91708 Medical and Applied Physiology | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 60912 Science Honours Thesis 1 | 24cp | |
| Spring session | ||
| 60913 Science Honours Thesis 2 | 24cp | |
| Biomedical Engineering major, Physical Science stream, Spring commencing, full time | ||
| Year 1 | ||
| Spring session | ||
| 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 | ||
| 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 | 6cp | |
| 91403 Medical Imaging | 6cp | |
| 91703 Physiological Systems | 6cp | |
| Spring session | ||
| 60912 Science Honours Thesis 1 | 24cp | |
| Year 3 | ||
| Autumn session | ||
| 60913 Science Honours Thesis 2 | 24cp | |
| Biomedical Engineering major, Biomedical Sciences stream, Autumn commencing, full time | ||
| Year 1 | ||
| Autumn session | ||
| 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 | ||
| 49261 Biomedical Instrumentation | 6cp | |
| 91239 Human Pathophysiology | 6cp | |
| 60903 Project Management in Science | 6cp | |
| Select 6 credit points from the following: | 6cp | |
| 91140 Bionanotechnology | 6cp | |
| 91705 Medical Devices and Diagnostics | 6cp | |
| 91708 Medical and Applied Physiology | 6cp | |
| Year 2 | ||
| Autumn session | ||
| 60912 Science Honours Thesis 1 | 24cp | |
| Spring session | ||
| 60913 Science Honours Thesis 2 | 24cp | |
| Biomedical Engineering major, Biomedical Sciences stream, Spring commencing, full time | ||
| Year 1 | ||
| Spring session | ||
| 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 | ||
| 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 | 6cp | |
| 91403 Medical Imaging | 6cp | |
| 91703 Physiological Systems | 6cp | |
| 48023 Programming Fundamentals | 6cp | |
| 49275 Neural Networks and Fuzzy Logic | 6cp | |
| Spring session | ||
| 60912 Science Honours Thesis 1 | 24cp | |
| Year 3 | ||
| Autumn session | ||
| 60913 Science Honours Thesis 2 | 24cp | |
Other information
Further information is available from:
UTS Student Centre
telephone 1300 ask UTS (1300 275 887)
or +61 2 9514 1222
Ask UTS
Further information regarding honours, including available projects and the application process, can be found at: