CRICOS code (International applicants): 031448M
| On-campus*+^#@ | External * @ | |
| Start: | Semester 1 (February) Semester 2 (July) | Semester 1 (February) Semester 2 (July) |
| Campus: | Ipswich, Toowoomba | - |
| Fees: | Commonwealth supported place Domestic full fee paying place International full fee paying place | Commonwealth supported place Domestic full fee paying place International full fee paying place |
| Residential school: | Ipswich (Mandatory) | |
| Standard duration: | 1 year full-time, 2 years part-time | |
| Program articulation: | ||
| Footnotes | |
| * | Please refer to the Program Structure for further information on mode of offer for each specialisation. |
| + | The Applied Data Science specialisation is only available to international on-campus students at UniSQ Toowoomba and, for students commencing in Semester 1, only to students who have completed (STA8170 Statistics for Quantitative Researchers or STA2300 Data Analysis or STA1003 Fundamental Statistics) and (CSC1401 Foundation Programming or CSC5020 Foundations of Programming) or equivalent in their previous study. |
| ^ | The Mathematics and Statistics specialisation is available to international on-campus students at UniSQ Toowoomba 鈥� Semester 1 only. |
| # | The Sport and Exercise specialisation is available to International on-campus students at UniSQ Ipswich. International on-campus students enrolled at the Ipswich campus must consult with the Program Director in selecting their elective courses to ensure they meet ESOS requirements. |
| @ | Sport and Exercise specialisation: courses that include a practical skill competency component and residential school will be conducted at the Ipswich campus |
Contact us
| Future Australian and New Zealand students | Future International students | Current students |
Freecall (within Australia): 1800 269 500 Phone (from outside Australia): +61 7 4631 5315 Email: study@usq.edu.au |
Phone: +61 7 4631 5543 Email: international@usq.edu.au |
Freecall (within Australia): 1800 007 252 Phone (from outside Australia): +61 7 4631 2285 Email: usq.support@usq.edu.au |
Program aims
The program aims to produce graduates that are equipped with essential scientific and/or mathematical knowledge and an appreciation of the latest literature and technologies.
Agricultural Science specialisation
This specialisation provides graduates with a knowledge of contemporary
issues associated with agricultural production and sustainability.
The program aims to produce graduates with the capacity to engage
with a range of agriculture related disciplines.
Applied Climate Science specialisation
The global climate service industry is estimated to have a significant
and growing economic value. In Australia, the need for 鈥榗limate
smart鈥� professionals working within their chosen industry is
growing with hundreds of job opportunities in industry and the public
sector organisation. This specialisation is designed to provide graduates
with the knowledge and decision-making skills to work as 鈥榗limate
smart鈥� professionals in many sectors of economic activity including
agriculture, food, water, energy, health, and natural resource management
industries.
Applied Data Science specialisation
This specialisation is designed to provide an opportunity for
graduates from all disciplines to gain skills and knowledge in handling
data which are commonly known as Big Data, as well as producing and
interpreting data analytics. The aim of this program is to provide
students with a career path in the Data Science area or an opportunity
for advancement in their career.
Environment and Sustainability specialisation
This specialisation provides graduates with knowledge of selected
basic concepts and skills associated with environmental and climate
science and the broad area of sustainability. The program aims to
produce graduates with knowledge and skills for the integration of
social, environmental and economic research within an interdisciplinary
planning and policy framework and to provide capacity for the sustainable
management of natural resources, businesses and communities.
Mathematics and Statistics specialisation
This specialisation aims to provide graduates with skills in
key areas of mathematics or statistics that relate to the needs of
their profession or industry, including teaching.
Physics and Astronomy specialisation
This specialisation is designed to provide an opportunity to
gain knowledge and skills in physics and astronomy and develop scientific
research skills. The program provides professional development in
science for those in educational or science communication careers.
Sport and Exercise specialisation
This specialisation aims to provide graduates with the opportunity
to develop and extend their knowledge and skills relevant to health,
fitness and sports performance across the lifespan to an advanced
level. The specialisation is designed to meet personal achievement
goals or provide for career opportunities within the health, sports
and fitness industry such as sports coaches, personal trainers, sports
development officers or a range of other roles.
General specialisation
This
specialisation enables students who have completed at least 8 courses
with at least 4 courses at level 8 from courses within other Graduate
Diploma of Science specialisations to exit from the MSCN Master of Science
.
Program objectives
On completion of the program graduates should be able to:
-
Synthesise an understanding of a complex body of advanced knowledge in a discipline of science.
-
Apply established theories to a body of advanced knowledge or practice in a relevant science discipline.
-
Critically analyse, evaluate and consolidate on complex advanced information, problems, concepts and theories applicable to a relevant science discipline.
-
Interpret and transmit advanced knowledge, skills and ideas, both individually and collaboratively, to a range of audiences.
-
Display autonomy, responsibility, adaptability and ethical practise in decision-making and engage in lifelong learning through critical reflection in a range of professional and cultural contexts.
Australian Qualifications Framework
The Australian Qualifications Framework (AQF) is a single national, comprehensive system of qualifications offered by higher education institutions (including universities), vocational education and training institutions and secondary schools. Each AQF qualification has a set of descriptors which define the type and complexity of knowledge, skills and application of knowledge and skills that a graduate who has been awarded that qualification has attained, and the typical volume of learning associated with that qualification type.
This program is at AQF Qualification Level 08. Graduates at this level will have advanced knowledge and skills for professional or highly skilled work and/or further learning.
The full set of levels criteria and qualification type descriptors can be found by visiting .
Admission requirements
To be eligible for admission, applicants must satisfy the following requirements:
-
Completion of an Australian university three year Bachelor degree in any area, or equivalent.
Or
equivalent professional work experience, as determined through the .
-
English Language Proficiency requirements for Category 3.
All students are required to satisfy the applicable .
If students do not meet the English language requirements they may apply to study a 精东传媒app-approved . On successful completion of the English language program, students may be admitted to an award program.
Program fees
Commonwealth supported place
A Commonwealth supported place is where the Australian Government makes a contribution towards the cost of a students' higher education and students pay a , which varies depending on the courses undertaken. Students are able to calculate the fees for a particular course via the .
Commonwealth Supported students may be eligible to defer their fees through a Government loan called .
Domestic full fee paying place
Domestic full fee paying places are funded entirely through the full fees paid by the student. Full fees vary depending on the courses that are taken. Students are able to calculate the fees for a particular course via the
Domestic full fee paying students may be eligible to defer their fees through a Government loan called provided they meet the residency and citizenship requirements.
Australian citizens, Permanent Humanitarian Visa holders, Permanent Resident visa holders and New Zealand citizens who will be resident outside Australia for the duration of their program pay full tuition fees and are not eligible for .
International full fee paying place
International students pay full fees. Full fees vary depending on the courses that are taken and whether they are studied on-campus, via distance education/online. Students are able to calculate the fees for a particular course via the .
Program structure
All specialisations within the program consist of eight units of study taken from the specialisation tables. At least four units must be at Level 8.
| Specialisation | Offering | ||
| ONC | ONL | EXT | |
| Agricultural Science ^ | Toowoomba | Online | depending on chosen approved courses |
| Applied Climate Science | Online only | ||
| Applied Data Science (part-time, full-time with approval)# | Toowoomba | Online | |
| Environment and Sustainability | Online only | ||
| Mathematics and Statistics (Semester 1 full-time or part-time; Semester 2 part-time only) @ | Toowoomba | Online | depending on chosen approved courses |
| Physics and Astronomy | Online only | ||
| Sport and Exercise | Ipswich | some courses have mandatory residential schools which will be held at the Ipswich campus. | |
| General | Toowoomba | Online | depending on chosen approved courses |
| Footnotes | |
| ^ | Some approved courses for selection have mandatory or highly recommended residential schools and students enrolled externally must be able to attend the residential schools at the specified UniSQ campus. |
| # | Available in Semester 1 full-time only to students who have completed (CSC1401 Foundation Programming or CSC5020 Foundations of Programming) and (STA2300 Data Analysis or STA1003 Fundamental Statistics or STA8170 Statistics for Quantitative Researchers ) in their previous study. The Semester 2 full-time intake will be subject to the approval of the Program Director. |
| @ | The Semester 1 full-time enrolment assumes students have current skills at the level of Queensland Senior Secondary Schools Studies Mathematical Methods equivalent. Students without this knowledge might have to study part-time. The Semester 2 full-time intake will be subject to the approval of the Program Director. |
Specific specialisations
In this section:
- Agricultural Science specialisation
- Applied Climate Science specialisation
- Applied Data Science specialisation
- Environment and Sustainability specialisation
- Mathematics and Statistics specialisation
- Physics and Astronomy specialisation
- Sport and Exercise specialisation
- General specialisation
Agricultural Science specialisation
This specialisation consists of 4 core courses, all available in online mode, and 4 approved courses.
| Semester 1^ | Semester 2 ^ |
| Mandatory core courses: | |
| AGR8001 Food Security in the 21st Century | AGR8002 Emerging Technologies in Agriculture |
| CLI8001 Climate Risk | AGR8003 Critical Issues in Agriculture |
| And four of the following Approved Courses | |
| AGR2303 Agronomy | BIO3318 Plant Microbe Interactions * |
| AGR3303 Agricultural Materials and Post-Harvest Technologies | BIO8201 Biology Foundations |
| AGR4305 Agricultural Soil Mechanics | ENV4106 Irrigation Science |
| SCI3302 Industry Placement # | REN3302 Sustainable Resource Use |
| Footnotes | |
| ^ | Students may vary their enrolment on the basis of prior studies or professional requirements with the approval of the Program Director via usq.support@usq.edu.au. |
| * | This offering has a highly recommended residential school (linked to an assessment item and non-attendance will mean a student misses an element for assessment preparation or an element of assessment) |
| # | SCI3302 Industry Placement may be available subject to approval of the Program Director via usq.support@usq.edu.au and availability of relevant placement. |
Applied Climate Science specialisation
This specialisation consists of the following courses, which are all available by online mode only. Students may vary their enrolment on the basis of prior studies or professional requirements with the approval of the Program Director via usq.support@usq.edu.au. This specialisation is not suitable for international on-campus students.
| Footnotes | |
| * | Two unit course |
Applied Data Science specialisation
This specialisation consists of eight courses which are all available on-campus and online.
| Footnotes | |
| * | Semester 1 full-time entry is only available if students have completed (STA8170 or STA2300 or STA1003) and (CSC1401 or CSC5020 ) in their previous study, in which case they will study two appropriate electives instead. |
Environment and Sustainability specialisation
This specialisation consists of the following eight core courses which are all available in online mode. Students may vary their enrolment on the basis of prior studies or professional requirements with the approval of the Program Director via usq.support@usq.edu.au. This specialisation is not suitable for international on-campus students.
Mathematics and Statistics specialisation
This specialisation consists of eight units of study. The courses studied will depend on the student's background in mathematics.
Students without MAT1102 (S1) and STA8170 (S1, S2) may not be able to complete in one year.
Students must complete eight courses from the following tables. At least four courses must be at Level 8. Students may seek approval from the Discipline Coordinator to enrol in courses not listed in these tables.
Semester 1 Courses
| Footnotes | |
| * | also available in Semester 3 |
Semester 2 Courses
Courses Offered in Either Semester 1 Or Semester 2
| Level 1 | Level 2 | Level 3 | Level 8 |
| ENM1600 Engineering Mathematics | SCI3302 Industry Placement | STA8170 Statistics for Quantitative Researchers | |
| CSC5020 Foundations of Programming |
Physics and Astronomy specialisation
This specialisation consists of eight units of study (six (6) core courses and one (1) approved two-unit course). Students may vary their enrolment on the basis of prior studies or professional requirements with the approval of the Program Director via usq.support@usq.edu.au. This specialisation is not suitable for international on-campus students.
| Semester 1 | Semester 2 |
| PHY1101 Astronomy 1 | PHY1107 Astronomy 2 |
| PHY1104 Physics 1 | PHY1911 Physics 2 |
| SCI8103 Research Fundamentals and Ethics | SCI8102 Research Skills |
| Plus one two-unit course selected from the following: | |
| PHY8001 Observational Astronomy | PHY8003 Galactic Astronomy and Cosmology |
| PHY8002 Planetary Science | PHY8004 Stellar Astronomy |
Sport and Exercise specialisation
This specialisation consists of four compulsory courses and four approved courses.
| Footnotes | |
| * | The S3 online offer will not be available in 2022. |
General specialisation
This specialisation enables students who have completed at least 8 courses with at least 4 courses at Level 8 from courses within other Graduate Diploma of Science specialisations to exit from the Master of Science . Students can use completed courses that meet the program objectives of the Graduate Diploma of Science to exit with that qualification.
IT requirements
Students should visit the UniSQ to check that their computers are capable of running the appropriate software and versions of Internet web browsers and to check the minimum and recommended standards for software. Students will need internet access to retrieve course materials, undertake assessment and participate in course online activities.
Residential schools
The attendance requirement of residential schools within this degree is indicated by the following letters: R = Recommended; HR = Highly Recommended; M = Mandatory. To find out more about , visit the to view specific dates for your degree, or visit the .
Sport and Exercise specialisation: For all modes there will be on-campus and practical attendance requirements for some courses. In order to successfully complete the program students must be able to fulfil any designated practical attendance requirements of a one week residential school in each year.
Agricultural Science (approved course)
Sport and Exercise Specialisation
Core Courses:
Approved Courses:
Articulation
Graduate Diploma of Science students may articulate to the Master of Science coursework program with further completion of eight courses, as required by that program.
A student successfully completing all courses in the Graduate Diploma of Science program will receive full credit towards the Master of Science in the same specialisation. Students intending to continue with the Master of Science must apply for separate admission and may EITHER graduate with a Graduate Diploma of Science and receive full credit as exemptions into the Master of Science, OR choose not to graduate with the Graduate Diploma, in order to transfer their grades, maintain their GPA and articulate into the Masters of Science and ultimately qualify from this higher award only. Students who wish to transfer their grades and maintain their GPA into the Master of Science, must advise the Faculty in writing ( usq.support@usq.edu.au) of their intention to articulate and this must occur prior to completion of the Graduate Diploma of Science.
Graduate Diploma of Science students may articulate to the Master of Science (Research) program if they meet other requirements for entry into that program. Students must advise the Faculty in writing ( usq.support@usq.edu.au) of their intention to articulate to the Master of Science (Research) and should seek the advice of the Program Director with respect to transfer or application for course exemptions prior to graduation from the Graduate Diploma of Science.
Exit points
Students may exit with the Graduate Certificate of Science if the courses completed satisfy the requirements of a Graduate Certificate of Science specialisation.
Sport and Exercise specialisation - students may exit with the Graduate Certificate of Sport and Exercise if the courses completed satisfy the requirements of the Graduate Certificate of Sport and Exercise.
Students should consult the Program Director via usq.support@usq.edu.au should they wish to exit to ensure they satisfy requirements for the Graduate Certificate.
Credit
Exemptions/credit will be assessed based on the .
Sport and Exercise specialisation:
Exemption of four units may be granted if student has completed the Graduate Certificate of Sport and Exercise offered by UniSQ.
Enrolment
Enrolment patterns will need to be determined for individual students. On acceptance into the program, students must submit an enrolment pattern for approval to the Program Director via usq.support@usq.edu.au. Pre-requisite courses should be taken as a guide to the assumed knowledge required for a course. It is the student's responsibility to ensure that they have the assumed knowledge before enrolling in a particular course.
Recommended enrolment patterns
In this section:
- Agricultural Science specialisation recommended enrolment pattern - full-time (2 Semesters, S1 entry)
- Agricultural Science specialisation recommended enrolment pattern - part-time (4 Semesters, S1 or S2 entry)
- Applied Climate Science specialisation recommended enrolment pattern - full-time S1 or S2 entry
- Applied Climate Science specialisation recommended enrolment pattern - part-time S1 or S2 entry
- Applied Data Science specialisation recommended enrolment pattern - full-time S1 entry
- Applied Data Science specialisation recommended enrolment pattern - part-time S1 entry
- Applied Data Science specialisation recommended enrolment pattern - part-time S1 entry (without (CSC1401 or CSC5020) and (STA8170 or STA2300 or STA1003) in previous study)
- Applied Data Science specialisation recommended enrolment pattern - full-time S2 entry (requires Program Director approval)
- Applied Data Science specialisation recommended enrolment pattern - part-time S2 entry
- Environment and Sustainability specialisation recommended enrolment pattern - full-time S1 or S2 entry
- Environment and Sustainability specialisation recommended enrolment pattern - part-time S1 or S2 entry
- Mathematics and Statistics specialisation recommended enrolment pattern - full-time S1 entry (with QSSSS Mathematical Methods)
- Mathematics and Statistics specialisation recommended enrolment pattern - full-time S1 entry (without MAT1102 or STA1003 (or STA8170))
- Mathematics and Statistics specialisation recommended enrolment pattern - part-time S1 entry
- Physics and Astronomy specialisation recommended enrolment pattern - full-time S1 or S2 entry
- Physics and Astronomy Specialisation recommended enrolment pattern - part-time S1 or S2 entry
- Sport and Exercise Specialisation recommended enrolment pattern - full-time S1 or S2 entry
Agricultural Science specialisation recommended enrolment pattern - full-time (2 Semesters, S1 entry)
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
Note: This specialisation is not available for International on-campus students as core courses are available in online mode only.
The recommended enrolment pattern for this specialisation is a recommended example. Students may vary or select their own pattern, keeping in mind any course pre-requisites, timetable constraints and the requirements to graduate outlined above in the Program Structure. If unsure about a suitable enrolment pattern, students should contact the Program Director via usq.support@usq.edu.au
| Course | Year of program and semester in which course is normally studied | Residential school | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | ||||||
| Year | Sem | Year | Sem | Year | Sem | |||
|
Year 1, Semester 1 | ||||||||
| CLI8001 Climate Risk | 1 | 1 | ||||||
| AGR8001 Food Security in the 21st Century | 1 | 1 | 1 | 1 | ||||
|
Choose two approved courses: # | ||||||||
| AGR2303 Agronomy | 1 | 1 | 1 | 1 | ||||
| AGR3303 Agricultural Materials and Post-Harvest Technologies | 1 | 1 | 1 | 1 | ||||
| AGR4305 Agricultural Soil Mechanics | 1 | 1 | 1 | 1 | ||||
| SCI3302 Industry Placement ^ | 1 | 3 | 1 | 1,2,3 | Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area) | |||
|
Year 1, Semester 2 | ||||||||
| AGR8003 Critical Issues in Agriculture | 1 | 2 | 2 | 2 | ||||
| AGR8002 Emerging Technologies in Agriculture | 1 | 2 | 2 | 2 | ||||
|
Choose two approved courses: # | ||||||||
| BIO3318 Plant Microbe Interactions * | 1 | 2 | 1 | 2 | HR | Pre-requisite: BIO1101 or Students must be enrolled in one of the following Programs: BATM or BENV or GCSC or GDSI or MSCN | ||
| ENV4106 Irrigation Science | 1 | 2 | 1 | 2 | Pre-requisite: AGR3304 or Students must be enrolled in one of the following Programs: GCEN or GCSC or GDSI or METC or MEPR or GCNS or GDNS or MENS or MSCN. | |||
| BIO8201 Biology Foundations | 1 | 2 | ||||||
| SCI3302 Industry Placement ^ | 1 | 3 | 1 | 1,2,3 | Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area) | |||
| REN3302 Sustainable Resource Use | 1 | 2 | 1 | 2 | ||||
| Footnotes | |
| # | Students should ensure that their choice of courses satisfy the program requirements of at least 4 Level 8 courses. |
| ^ | SCI3302 Industry Placement may be available subject to approval of the Program Director via usq.support@usq.edu.au and availability of relevant placement. |
| * | This offering has a highly recommended residential school (linked to an assessment item and non-attendance will mean a student misses an element for assessment preparation or an element of assessment). |
Agricultural Science specialisation recommended enrolment pattern - part-time (4 Semesters, S1 or S2 entry)
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
Note: This specialisation is not available for International on-campus students as core courses are available in online mode only.
The recommended enrolment pattern for this specialisation is a recommended example. Students may vary or select their own pattern, keeping in mind any course pre-requisites, timetable constraints and the requirements to graduate outlined above in the Program Structure. If unsure about a suitable enrolment pattern, students should contact the Program Director via usq.support@usq.edu.au
| Course | Year of program and semester in which course is normally studied | Residential school | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | ||||||
| Year | Sem | Year | Sem | Year | Sem | |||
|
Year 1 | ||||||||
| Approved Course 1 # | 1 | 1 | 1 | 1 | ||||
| AGR8001 Food Security in the 21st Century | 1 | 1 | 1 | 1 | ||||
| AGR8002 Emerging Technologies in Agriculture | 1 | 2 | 1 | 2 | ||||
| Approved Course 2 # | 1 | 2 | 1 | 2 | ||||
|
Year 2 | ||||||||
| CLI8001 Climate Risk | 2 | 1 | ||||||
| Approved Course 3 # | 2 | 1 | 2 | 1 | ||||
| AGR8003 Critical Issues in Agriculture | 2 | 2 | 2 | 2 | ||||
| Approved Course 4 # | 2 | 2 | 2 | 2 | ||||
|
Approved Courses include: # | ||||||||
| AGR2303 Agronomy | 1 | 1 | ||||||
| AGR3303 Agricultural Materials and Post-Harvest Technologies | 1 | 1 | ||||||
| AGR4305 Agricultural Soil Mechanics | 1 | 1 | ||||||
| SCI3302 Industry Placement | 3 | 1,2,3 | Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area) | |||||
| BIO3318 Plant Microbe Interactions * | 2 | 2 | HR | Pre-requisite: BIO1101 or Students must be enrolled in one of the following Programs: BATM or BENV or GCSC or GDSI or MSCN | ||||
| ENV4106 Irrigation Science | 2 | 2 | Pre-requisite: AGR3304 or Students must be enrolled in one of the following Programs: GCEN or GCSC or GDSI or METC or MEPR or GCNS or GDNS or MENS or MSCN. | |||||
| BIO8201 Biology Foundations | 2 | |||||||
| REN3302 Sustainable Resource Use | 2 | 2 | ||||||
| Footnotes | |
| # | Selection of potential approved courses should be discussed with the Program Director. Students should ensure that their choice of courses satisfy the program requirements of at least 4 Level 8 courses. |
| * | This offering has a highly recommended residential school (linked to an assessment item and non-attendance will mean a student misses an element for assessment preparation or an element of assessment). |
Applied Climate Science specialisation recommended enrolment pattern - full-time S1 or S2 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| CLI8001 Climate Risk | 1 | 1 | |||||
| CLI8204 Global Environmental Systems | 1 | 1 | |||||
| CLI8002 Climate, Human and Environmental Health and Disaster Management * | 1 | 1 | |||||
| CLI3302 Adaptation to Climate Change | 1 | 2 | |||||
| CLI8205 Climate and Sustainability | 1 | 2 | |||||
| CLI8003 Climate, Food, Water and Energy Security * | 1 | 2 | |||||
| Footnotes | |
| * | Two unit course. |
Applied Climate Science specialisation recommended enrolment pattern - part-time S1 or S2 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| CLI8001 Climate Risk | 1 | 1 | |||||
| CLI8204 Global Environmental Systems | 1 | 1 | |||||
| CLI8003 Climate, Food, Water and Energy Security * | 1 | 2 | |||||
| CLI8002 Climate, Human and Environmental Health and Disaster Management * | 2 | 1 | |||||
| CLI8205 Climate and Sustainability | 2 | 2 | |||||
| CLI3302 Adaptation to Climate Change | 2 | 2 | |||||
| Footnotes | |
| * | Two unit course |
Applied Data Science specialisation recommended enrolment pattern - full-time S1 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
This enrolment pattern is only available to students who have completed (CSC1401 Foundation Programming or CSC5020 Foundations of Programming ) and (STA8170 Statistics for Quantitative Researchers or STA2300 Data Analysis or STA1003 Fundamental Statistics) in previous study.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| CIS8008 Business Intelligence | 1 | 1 | 1 | 1 | |||
| CSC8450 Relational Database Systems | 1 | 1 | 1 | 1 | Pre-requisite: CSC5090 | ||
| STA8005 Multivariate Analysis for High-Dimensional Data * | 1 | 1 | 1 | 1 | Pre-requisite or Co-requisite: STA8170 or STA2300 or STA1003 | ||
| CSC8004 Data Mining | 1 | 1 | 1 | 1 | Pre-requisite: (STA2300 or STA1003 or STA8170) and (CSC1401 or CSC5020) | ||
| CSC8001 Introduction to Data Science and Visualisation | 1 | 2 | 1 | 2 | |||
| CSC8002 Big Data Management | 1 | 2 | 1 | 2,3 | Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS. | ||
| Approved course 鈥� One STA course at level 2 or above | 1 | 2 | |||||
| Approved course 鈥� One CSC course at level 2 or above | 1 | 2 | 1 | 2 | |||
| Footnotes | |
| * | Unavailable in on-campus mode in 2022 |
Applied Data Science specialisation recommended enrolment pattern - part-time S1 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
This enrolment pattern is only available to students who have completed (CSC1401 Foundation Programming or CSC5020 Foundations of Programming ) and (STA8170 Statistics for Quantitative Researchers or STA2300 Data Analysis or STA1003 Fundamental Statistics) in previous study.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| CIS8008 Business Intelligence | 1 | 1 | 1 | 1,2 | |||
| CSC8450 Relational Database Systems | 1 | 1 | 1 | 1 | Pre-requisite: CSC5090 | ||
| CSC8001 Introduction to Data Science and Visualisation | 1 | 2 | 1 | 2 | |||
| CSC8002 Big Data Management | 1 | 2 | 1 | 2,3 | Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS. | ||
| STA8005 Multivariate Analysis for High-Dimensional Data * | 2 | 1 | 2 | 1 | Pre-requisite or Co-requisite: STA8170 or STA2300 or STA1003 | ||
| CSC8004 Data Mining | 2 | 1 | 2 | 1 | Pre-requisite: (STA2300 or STA1003 or STA8170) and (CSC1401 or CSC5020) | ||
| Approved Course 鈥� One STA course at level 2 or above | 2 | 2 | 2 | 2 | |||
| Approved Course 鈥� One CSC course at level 2 or above | 2 | 2 | 2 | 2 | |||
| Footnotes | |
| * | Unavailable in on-campus mode in 2022 |
Applied Data Science specialisation recommended enrolment pattern - part-time S1 entry (without (CSC1401 or CSC5020) and (STA8170 or STA2300 or STA1003) in previous study)
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Year 1, Semester 1 | |||||||
| CSC8450 Relational Database Systems | 1 | 1 | 1 | 1 | Pre-requisite: CSC5090 | ||
| STA8170 Statistics for Quantitative Researchers | 1 | 1 | 1 | 1,2 | Enrolment is not permitted in STA8170 if STA2300 or STA1003 has been previously completed. | ||
|
Year 1, Semester 2 | |||||||
| CSC5020 Foundations of Programming | 1 | 1,2,3 | 1 | 1,2,3 | |||
| CSC8001 Introduction to Data Science and Visualisation | 1 | 2 | 1 | 2 | |||
|
Year 2, Semester 1 | |||||||
| CSC8004 Data Mining | 2 | 1 | 2 | 1 | Pre-requisite: (STA2300 or STA1003 or STA8170) and (CSC1401 or CSC5020) | ||
| STA8005 Multivariate Analysis for High-Dimensional Data < | 2 | 1 | 2 | 1 | Pre-requisite or Co-requisite: STA8170 or STA2300 or STA1003 | ||
|
Year 2, Semester 2 | |||||||
| CIS8008 Business Intelligence | 2 | 1,2 | |||||
| CSC8002 Big Data Management | 2 | 2 | 2 | 2,3 | Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS. | ||
| Footnotes | |
| < | Unavailable in on-campus mode in 2022 |
Applied Data Science specialisation recommended enrolment pattern - full-time S2 entry (requires Program Director approval)
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Year 1, Semester 2 | |||||||
| CSC5020 Foundations of Programming# | 1 | 1,2,3 | 1 | 1,2,3 | |||
| CSC8001 Introduction to Data Science and Visualisation | 1 | 2 | 1 | 2 | |||
| CSC8002 Big Data Management | 1 | 2 | 1 | 2,3 | Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS. | ||
| STA8170 Statistics for Quantitative Researchers* | 1 | 1,2 | Enrolment is not permitted in STA8170 if STA2300 or STA1003 has been previously completed. | ||||
|
Year 1, Semester 1 | |||||||
| CIS8008 Business Intelligence | 1 | 1,2 | |||||
| CSC8004 Data Mining | 1 | 1 | 1 | 1 | Pre-requisite: (STA2300 or STA1003 or STA8170) and (CSC1401 or CSC5020) | ||
| CSC8450 Relational Database Systems | 1 | 1 | 1 | 1 | Pre-requisite: CSC5090 | ||
| STA8005 Multivariate Analysis for High-Dimensional Data < | 1 | 1 | 1 | 1 | Pre-requisite or Co-requisite: STA8170 or STA2300 or STA1003 | ||
| Footnotes | |
| # | If CSC1401 Foundation Programming has been completed previously, contact the Program Director to choose an alternative course to CSC5020. |
| * | If STA2300 Data Analysis has been completed previously, contact the Program Director to choose an alternative Level 8 course to STA8170. |
| < | Unavailable in on-campus mode in 2022 |
Applied Data Science specialisation recommended enrolment pattern - part-time S2 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Year 1, Semester 2 | |||||||
| CSC5020 Foundations of Programming# | 1 | 1,2,3 | 1 | 1,2,3 | |||
| CSC8001 Introduction to Data Science and Visualisation | 1 | 2 | 1 | 2 | |||
|
Year 1, Semester 1 | |||||||
| STA8170 Statistics for Quantitative Researchers * | 1 | 1 | 1 | 1,2 | Enrolment is not permitted in STA8170 if STA2300 or STA1003 has been previously completed. | ||
| CSC8450 Relational Database Systems | 1 | 1 | 1 | 1 | Pre-requisite: CSC5090 | ||
|
Year 2, Semester 2 | |||||||
| CSC8002 Big Data Management | 2 | 2 | 2 | 2,3 | Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS. | ||
| CIS8008 Business Intelligence | 2 | 1,2 | |||||
|
Year 2, Semester 1 | |||||||
| CSC8004 Data Mining | 2 | 1 | 2 | 1 | Pre-requisite: (STA2300 or STA1003 or STA8170) and (CSC1401 or CSC5020) | ||
| STA8005 Multivariate Analysis for High-Dimensional Data < | 2 | 1 | 2 | 1 | Pre-requisite or Co-requisite: STA8170 or STA2300 or STA1003 | ||
| Footnotes | |
| # | If CSC1401 Foundation Programming has been completed previously, contact the Program Director to choose an alternative course to CSC5020. |
| * | If STA2300 Data Analysis has been completed previously, contact the Program Director to choose an alternative Level 8 course to STA8170. |
| < | Unavailable in on-campus mode in 2022 |
Environment and Sustainability specialisation recommended enrolment pattern - full-time S1 or S2 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Year 1, Semester 1 | |||||||
| REN8101 Environment, Society and Sustainability | 1 | 1 | Enrolment is not permitted in REN8101 if REN1201 has been previously completed. | ||||
| CLI8204 Global Environmental Systems | 1 | 1 | |||||
| CLI3301 Climate and Environment Risk Assessment | 1 | 1 | |||||
| SCI8103 Research Fundamentals and Ethics | 1 | 1 | Pre-requisite: Students must be enrolled in one of the following programs: MSCN or MSCR or MCTN or MADS or GCSC or GDSI or DPHD or its equivalent. Enrolment is not permitted in SCI8103 if SCI4405 has been previously completed. | ||||
|
Year 1, Semester 2 (or Semester 2 entry) | |||||||
| CLI8205 Climate and Sustainability | 1 | 2 | |||||
| REN8202 Conservation for Sustainable Futures | 1 | 2 | Enrolment is not permitted in REN8202 if REN2200 has been previously completed. | ||||
| REN8203 Sustainability Science | 1 | 2 | Pre-requisite: REN8101 or REN8202 or REN3302 or REN3301 or CLI8204 or CLI8205 or ECO8011 | ||||
|
And one of: | |||||||
| REN3301 Biodiversity and Conservation | 1 | 2 | 1 | 2 | |||
| REN3302 Sustainable Resource Use | 1 | 2 | 1 | 2 | |||
Environment and Sustainability specialisation recommended enrolment pattern - part-time S1 or S2 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Year 1 | |||||||
| REN8101 Environment, Society and Sustainability | 1 | 1 | Enrolment is not permitted in REN8101 if REN1201 has been previously completed. | ||||
| SCI8103 Research Fundamentals and Ethics | 1 | 1 | Pre-requisite: Students must be enrolled in one of the following programs: MSCN or MSCR or MCTN or MADS or GCSC or GDSI or DPHD or its equivalent. Enrolment is not permitted in SCI8103 if SCI4405 has been previously completed. | ||||
| REN8202 Conservation for Sustainable Futures | 1 | 2 | Enrolment is not permitted in REN8202 if REN2200 has been previously completed. | ||||
|
And one of: | |||||||
| REN3301 Biodiversity and Conservation | 1 | 2 | 1 | 2 | |||
| REN3302 Sustainable Resource Use | 1 | 2 | 1 | 2 | |||
|
Year 2 | |||||||
| CLI3301 Climate and Environment Risk Assessment | 2 | 1 | |||||
| CLI8204 Global Environmental Systems | 2 | 1 | |||||
| CLI8205 Climate and Sustainability | 2 | 2 | |||||
| REN8203 Sustainability Science | 2 | 2 | Pre-requisite: REN8101 or REN8202 or REN3302 or REN3301 or CLI8204 or CLI8205 or ECO8011 | ||||
Mathematics and Statistics specialisation recommended enrolment pattern - full-time S1 entry (with QSSSS Mathematical Methods)
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
The recommended enrolment pattern for this specialisation is an example only for S1 enrolment. Students may vary or select their own pattern, keeping in mind any course pre-requisites, timetable constraints and the requirements to graduate outlined above in the Program Structure. If unsure about a suitable enrolment pattern, students should contact the Program Director.
This pattern assumes students have current skills at the level of Queensland Senior Secondary School Studies Mathematical Methods or equivalent. Students without this knowledge should contact the Program Director for advice and may have to study part-time.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Semester 1 | |||||||
| MAT1102 Algebra and Calculus I # | 1 | 1 | 1 | 1 | |||
| STA8170 Statistics for Quantitative Researchers<#$ | 1 | 1 | 1 | 1,2 | Enrolment is not permitted in STA8170 if STA2300 or STA1003 has been previously completed. | ||
| STA8005 Multivariate Analysis for High-Dimensional Data @ | 1 | 1 | 1 | 1 | Pre-requisite or Co-requisite: STA8170 or STA2300 or STA1003 | ||
| MAT8180 Mathematics/Statistics Complementary Studies A #* | 1 | 1 | 1 | 1 | |||
|
Semester 2 | |||||||
| MAT2200 Operations Research 1 # | 1 | 2 | 1 | 2 | Pre-requisite: MAT1102 or ENM1600 or equivalent or approval from the examiner. Enrolment is not permitted in MAT2200 if MAT1200 has been previously completed. | ||
| STA8190 Advanced Statistics B*$ | 1 | 2 | |||||
| MAT2100 Algebra and Calculus II# | 1 | 2 | 1 | 2 | Pre-requisite: MAT1102 or MAT1502 or ENM1600 or Students must be enrolled in the following program: MSCN or MEPR or BSED | ||
| CSC2410 Computational Thinking with Python | 1 | 2 | 1 | 2 | |||
| Footnotes | |
| # | Recommended for students wanting to teach mathematics. |
| < | If STA2300 has been completed previously, contact the Program Director to choose an alternative course to STA8170. |
| $ | Recommended for students wanting to specialise in statistics. |
| @ | Unavailable in on-campus mode in 2022 |
| * | This course is topic based. Students should select their topic from the course specification and email the examiner for approval prior to enrolment. |
Mathematics and Statistics specialisation recommended enrolment pattern - full-time S1 entry (without MAT1102 or STA1003 (or STA8170))
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
The recommended enrolment pattern for this specialisation is an example only for S1 enrolment. Students may vary or select their own pattern, keeping in mind any course pre-requisites, timetable constraints and the requirements to graduate outlined above in the Program Structure. If unsure about a suitable enrolment pattern, students should contact the Program Director.
This pattern requires students to have knowledge equivalent to MAT1102 Algebra and Calculus I and (STA8170 Statistics for Quantitative Researchers or STA2300 ).
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Semester 1 | |||||||
| ENM2600 Advanced Engineering Mathematics | 1 | 1 | 1 | 1 | Pre-requisite: ENM1600 or Students must be enrolled in one of the following Programs: GCEN or METC or MENS or GDNS or MEPR or MSCN | ||
| STA8180 Advanced Statistics A $* | 1 | 1 | |||||
| STA8005 Multivariate Analysis for High-Dimensional Data @ | 1 | 1 | 1 | 1 | Pre-requisite or Co-requisite: STA8170 or STA2300 or STA1003 | ||
| MAT3201 Operations Research 2<# | 1 | 1 | 1 | 1 | Pre-requisite: MAT1200 or MAT2200 or Students must be enrollled in one of the following Programs: MSCN or GDSI | ||
|
Semester 2 | |||||||
| MAT8190 Mathematics/Statistics Complementary Studies B #* | 1 | 2 | 1 | 2 | |||
| STA8190 Advanced Statistics B $ * | 1 | 2 | |||||
| MAT2200 Operations Research 1 # | 1 | 2 | 1 | 2 | Pre-requisite: MAT1102 or ENM1600 or equivalent or approval from the examiner. Enrolment is not permitted in MAT2200 if MAT1200 has been previously completed. | ||
| CSC2410 Computational Thinking with Python | 1 | 2 | 1 | 2 | |||
| Footnotes | |
| $ | Recommended for students wanting to specialise in statistics. |
| * | This course is topic based. Students should select their topic from the course specification, ensuring they have any prerequisites stated for their chosen topic, and email the examiner for approval prior to enrolment. |
| @ | Unavailable in on-campus mode in 2022 |
| < | The on-campus offering of this course is offered in odd鈥攏umbered years only. |
| # | Recommended for students wanting to teach mathematics. |
Mathematics and Statistics specialisation recommended enrolment pattern - part-time S1 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
The recommended enrolment pattern for this specialisation is an example only for S1 enrolment. Students may vary or select their own pattern, keeping in mind any course pre-requisites, timetable constraints and the requirements to graduate outlined above in the Program Structure. If unsure about a suitable enrolment pattern, students should contact the Program Director via usq.support@usq.edu.au.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Semester 1 | |||||||
| STA8170 Statistics for Quantitative Researchers **#$ | 1 | 1 | 1 | 1,2 | Enrolment is not permitted in STA8170 if STA2300 or STA1003 has been previously completed. | ||
| MAT1102 Algebra and Calculus I# | 1 | 1 | 1 | 1 | |||
|
Semester 2 | |||||||
| MAT2100 Algebra and Calculus II # | 1 | 2 | 1 | 2 | Pre-requisite: MAT1102 or MAT1502 or ENM1600 or Students must be enrolled in the following program: MSCN or MEPR or BSED | ||
| CSC2410 Computational Thinking with Python | 1 | 2 | 1 | 2 | |||
|
Choose four (4) of the following (at least three (3) of which must be at Level 8): | |||||||
| STA2301 Distribution Theory##$ | 2 | 1 | 2 | 1 | Pre-requisite: (STA2300 or STA1003 or equivalent) and (MAT1102 or ENM1600) | ||
| STA3300 Experimental Design ##$ | 2 | 1 | 2 | 1 | Pre-requisite: STA2300 or STA1003 or equivalent or approval of examiner | ||
| STA8005 Multivariate Analysis for High-Dimensional Data ### ^ | 2 | 1 | 2 | 1 | Pre-requisite or Co-requisite: STA8170 or STA2300 or STA1003 | ||
| STA2302 Statistical Inference $ | 2 | 2 | Pre-requisite: STA2301 | ||||
| STA3301 Statistical Models ##$ | 2 | 2 | 2 | 2 | Pre-requisite: STA3300 or approval of examiner or Students must have completed STA8170 and be enrolled in one of the following Programs: GCSC or GDSI or MSCN or MADS or MSCR or DPHD. | ||
| STA8180 Advanced Statistics A $ * | 2 | 1 | |||||
| STA8190 Advanced Statistics B $ * | 2 | 2 | |||||
| MAT2409 High Performance Numerical Computing | 2 | 1 | 2 | 1 | Pre-requisite: (CSC2410 or CSC1401) and (MAT1102 or ENM1600) or Students must be enrolled in one of the following Programs: MPIT or MCOT or MCTE | ||
| MAT2200 Operations Research 1 # | 2 | 2 | 2 | 2 | Pre-requisite: MAT1102 or ENM1600 or equivalent or approval from the examiner. Enrolment is not permitted in MAT2200 if MAT1200 has been previously completed. | ||
| MAT3105 Harmony of Partial Differential Equations # < | 2 | 1 | 2 | 1 | Pre-requisite: ENM2600 or MAT2100 or MAT2500 | ||
| MAT3103 Mathematical Modelling and Dynamical Systems # < | 2 | 2 | 2 | 2 | Pre-requisite: MAT2100 or MAT2500 or ENM2600 | ||
| MAT3201 Operations Research 2 ># | 2 | 1 | 2 | 1 | Pre-requisite: MAT1200 or MAT2200 or Students must be enrollled in one of the following Programs: MSCN or GDSI | ||
| MAT3104 Mathematical Modelling in Financial Economics #> | 2 | 2 | 2 | 2 | Pre-requisite: (STA2300 or STA1003 or equivalent) and (MAT2100 or MAT2500 or ENM2600) | ||
| MAC8901 Issues in Teaching Mathematics # % | 2 | 2 | 2 | 2 | |||
| SCI3302 Industry Placement @ | 2 | 3 | 1,2,3 | Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area) | |||
| MAT8180 Mathematics/Statistics Complementary Studies A # $ * | 2 | 1 | 1 | 1 | |||
| MAT8190 Mathematics/Statistics Complementary Studies B # $ * | 2 | 2 | 1 | 2 | |||
| Footnotes | |
| ** | If STA2300 has been completed previously, contact the Program Director to choose an alternative course to STA8170. |
| # | Recommended for students wanting to teach mathematics. |
| $ | Recommended for students wanting to specialise in statistics. |
| ## | Unavailable in on-campus mode in 2022 |
| ^ | recommended for teachers wanting to improve their content knowledge in statistics. |
| * | This course is topic based. Students should select their topic from the course specification and email the examiner for approval prior to enrolment. |
| < | The on-campus offering of this course is offered in even years only. |
| > | The on-campus offering of this course is offered in odd鈥攏umbered years only. |
| % | Recommended for teachers only. Teachers wishing to improve their content knowledge in statistics should also complete STA8005 . |
| @ | This course is available subject to approval of the Program Director via usq.support@usq.edu.au; and availability of a relevant placement. |
Physics and Astronomy specialisation recommended enrolment pattern - full-time S1 or S2 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
The recommended enrolment pattern for this specialisation is a recommended example. Students may vary or select their own pattern, keeping in mind any course pre-requisites, timetable constraints and the requirements to graduate outlined above in the Program Structure. If unsure about a suitable enrolment pattern, students should contact the Program Director via usq.support@usq.edu.au.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| PHY1101 Astronomy 1* | 1 | 1 | 1 | 1 | |||
| PHY1104 Physics 1 | 1 | 1 | 1 | 1 | Co-requisite: (MAT1102 or ENM2600) or Students must be enrolled in one of the following Programs: MSCN or GDSI or GCSC | ||
| SCI8103 Research Fundamentals and Ethics | 1 | 1 | Pre-requisite: Students must be enrolled in one of the following programs: MSCN or MSCR or MCTN or MADS or GCSC or GDSI or DPHD or its equivalent. Enrolment is not permitted in SCI8103 if SCI4405 has been previously completed. | ||||
| SCI8102 Research Skills^ | 1 | 1,2 | |||||
| PHY1107 Astronomy 2* | 1 | 2 | 1 | 2 | |||
| PHY1911 Physics 2 | 1 | 2 | 1 | 2 | Co-requisite: (MAT2100 or ENM1600) or Students must be enrolled in one of the following Programs: MSCN or GDSI or GCSC | ||
|
Approved courses - Choose one of the following two-unit courses: | |||||||
| PHY8001 Observational Astronomy鈥�# | 1 | 1 | |||||
| PHY8002 Planetary Science鈥�# | 1 | 1 | |||||
| PHY8003 Galactic Astronomy and Cosmology鈥�# | 1 | 2 | |||||
| PHY8004 Stellar Astronomy鈥�# | 1 | 2 | |||||
| Footnotes | |
| * | Astronomical observations for each course are made remotely via internet access to UniSQ's Mt Kent Observatory. Voluntary field nights will also be made available. |
| ^ | SCI8102 can be taken in S2 and an approved course taken in S1. |
| 鈥� | Two unit course. |
| # | Astronomical observations for each course are made remotely via internet access to UniSQ's Mt Kent Observatory. |
Physics and Astronomy Specialisation recommended enrolment pattern - part-time S1 or S2 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
The recommended enrolment pattern for this specialisation is a recommended example. Students may vary or select their own pattern, keeping in mind any course pre-requisites, timetable constraints and the requirements to graduate outlined above in the Program Structure. If unsure about a suitable enrolment pattern, students should contact the Program Director via usq.support@usq.edu.au.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| PHY1101 Astronomy 1* | 1 | 1 | 1 | 1 | |||
| PHY1104 Physics 1 | 1 | 1 | 1 | 1 | Co-requisite: (MAT1102 or ENM2600) or Students must be enrolled in one of the following Programs: MSCN or GDSI or GCSC | ||
| PHY1107 Astronomy 2* | 1 | 2 | 1 | 2 | |||
| PHY1911 Physics 2 | 1 | 2 | 1 | 2 | Co-requisite: (MAT2100 or ENM1600) or Students must be enrolled in one of the following Programs: MSCN or GDSI or GCSC | ||
| SCI8103 Research Fundamentals and Ethics | 2 | 1 | Pre-requisite: Students must be enrolled in one of the following programs: MSCN or MSCR or MCTN or MADS or GCSC or GDSI or DPHD or its equivalent. Enrolment is not permitted in SCI8103 if SCI4405 has been previously completed. | ||||
| SCI8102 Research Skills | 2 | 2 | |||||
|
Approved courses - Choose one of the following two-unit courses: | |||||||
| PHY8001 Observational Astronomy鈥�# | 2 | 1 | |||||
| PHY8002 Planetary Science鈥�# | 2 | 1 | |||||
| PHY8003 Galactic Astronomy and Cosmology鈥�# | 2 | 2 | |||||
| PHY8004 Stellar Astronomy鈥�# | 2 | 2 | |||||
| Footnotes | |
| * | Astronomical observations for each course are made remotely via internet access to UniSQ's Mt Kent Observatory. Voluntary field nights will also be made available. |
| 鈥� | Two unit course. |
| # | Astronomical observations for each course are made remotely via internet access to UniSQ's Mt Kent Observatory. |
Sport and Exercise Specialisation recommended enrolment pattern - full-time S1 or S2 entry
Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.
| Course | Year of program and semester in which course is normally studied | Residential school | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|---|
| On-campus (ONC) | External (EXT) | Online (ONL) | ||||||
| Year | Sem | Year | Sem | Year | Sem | |||
|
Year 1/Semester 1 | ||||||||
| SES8005 Advanced Exercise Physiology* | 1 | 1 | 1 | 1 | M | |||
| SES8006 Advanced Exercise Programming and Rehabilitation* | 1 | 1 | 1 | 1 | M | |||
|
One of the following level 8 coursework courses from the Sport and Exercise specialisation in the Master of Science (MSCN): | ||||||||
| SES8003 Advanced Motor Control and Learning* | 1 | 1 | 1 | 1 | M | |||
| SES8008 Advanced Anatomy and Physiology* | 1 | 1 | 1 | 1 | M | |||
| One elective course from the list below or as approved by the Program Director | 1 | 1 | 1 | 1 | ||||
|
Year 1/Semester 2 | ||||||||
| SES8007 Advanced Exercise Assessment and Delivery* | 1 | 2 | 1 | 2 | M | |||
| SES8001 Advanced Biomechanics* | 1 | 2 | 1 | 2 | M | |||
|
Two of the following coursework courses from the Sport and Exercise specialisation in the Master of Science (MSCN): | ||||||||
| SES2203 Physical Activity and Health | 1 | 2 | 1 | 2 | ||||
| SES1103 Nutrition and Exercise | 1 | 2 | 1 | 2 | M | |||
| PSY3250 Sport and Exercise Psychology | 1 | 2 | Pre-requisite: PSY1010 or Students must be enrolled in one of the following programs: GDSI or MSCN | |||||
| SES3206 Strength Training and Conditioning* | 1 | 2 | 1 | 2 | M | Pre-requisite: SES2103 and SES2104 or Students must be enrolled in the following Program: MSCN | ||
|
Approved electives: | ||||||||
| ACC5502 Accounting and Financial Management | 1 | 1 | 1 | 1,3 | Pre-requisite: Students enrolled in one of the following Programs: Master of Professional Accounting (MPAC) or Master of Business Administration & Master of Professional Accounting (MBAC) are not eligible for enrolment | |||
| CSC5020 Foundations of Programming | 1 | 1,2,3 | 1 | 1,2,3 | ||||
| EDU8400 Mentoring and Coaching | 1 | 1,2 | ||||||
| EDU8606 Lifelong Career Development | 1 | 1 | ||||||
| HSW8220 Promoting Community Access and Inclusion | 1 | 1 | ||||||
| MBA8000 Applied Business Research and Ethics | 1 | 1 | 1 | 1,2 | ||||
| MGT8033 Leading Organisational Change | 1 | 1,2 | 1 | 1,2 | ||||
| MGT8038 Leadership Development | 1 | 1,2 | ||||||
| PCM5000 Practical Editorial Skills | 1 | 1 | ||||||
| PUB5001 Introduction to Editing and Publishing# | 1 | 1,3 | ||||||
| Footnotes | |
| * | Only available in on-campus mode at Ipswich. |
| # | The S3 online offer will not be available in 2022. |
