Graduate Diploma of Science (GDSI) - GradDipSci
CRICOS code (International applicants): 031448M
| On-campus^*#+ | Distance education^#+ | |
| Semester intake: | Semester 1 (February) Semester 2 (July) | Semester 1 (February) Semester 2 (July) |
| Campus: | 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 |
| Standard duration: | 1 year full-time, 2 years part-time | |
| Program articulation: | ||
| Footnotes | |
| ^ | The Agricultural Science Specialisation is only available part-time in 2015 and will be available full-time from 2016. |
| * | All specialisations are available to distance education students, although some courses may also be available on-campus. Therefore, these specialisations may not be suitable for international students who wish to study on-campus. The Agricultural Science Specialisation is not available to International on-campus students as the core courses are only available in external mode. The Mathematics and Statistics specialisation is only available to International on-campus students who can meet pre-requisite requirements (or equivalent) for or or . |
| # | Other entry requirements also apply for articulation into the Master of Science (Research) |
| + | Semester 1 intakes for Applied Data Science specialisation are only available to students who have completed and in their Bachelor degrees. (S1 intake will commence from 2016.) |
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 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.
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.
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.
Program objectives
On completion of the program graduates will be able to:
-
demonstrate an advanced understanding in their chosen specialisation
-
conduct scholarly investigations into applications and methodologies in their chosen field
-
communicate scientifically in manner appropriate to their discipline
-
apply the specialist knowledge and skills acquired in their specialisation
Specialisation Objectives
Agricultural Science specialisation
On completion
of this specialisation students will be able to:
-
demonstrate an understanding of broad range of issues associated with agricultural production and agricultural science
-
conduct enquiries into contemporary issues associated with agricultural production
-
understand the risks of climate change and climate variability on agricultural production
Applied Data Science specialisation
On completion
of this specialisation students will be able to:
-
demonstrate advanced theoretical and technical knowledge of data science to a complex body of knowledge in sciences
-
analyse, generate and transmit solutions to complex problems in sciences
-
analyse critically and reflect on ethics and professionalism for data science
Environment and Sustainability specialisation
On
completion of this specialisation students will be able to:
-
understand and apply the principles and approaches of sustainability
-
demonstrate an understanding of the functioning of the global climate system and global climate changes
-
understand and assess the risks of climatic changes and climate variability and their influence on sustainable practices
-
evaluate opportunities that may arise from environmental and climate changes
-
identify and establish strong links between science, effective community engagement and sound policy to support sustainability
-
demonstrate, through the breadth of their studies, an advanced understanding of issues, concepts and applications of sustainability in environment and natural resource management
Physics and Astronomy specialisation
On completion
of this specialisation students will be able to:
-
demonstrate a general professional understanding of the science of astronomy
-
conduct scholarly enquiries into the research literature in astronomy and astrophysics
-
apply scientific principles to solve problems with conceptual, observational or computational elements
-
demonstrate competency in observational techniques, data analysis, and the interpretation of results
Mathematics and Statistics specialisation
On completion
of this specialisation students will be able to:
-
acquire specific knowledge and skills in mathematics and/or statistics which are relevant to their disciplines and careers
-
apply problem solving and innovative thinking, to be able to contribute at a higher level to their professional environment
-
understand the meaning and basis of fundamental mathematical and/or statistical ideas and techniques
-
demonstrate the ability to model real-life scenarios in order to enable mathematical and/or statistical analysis
-
demonstrate the ability to apply mathematics and/or statistics to the solution of problems in a variety of situations
Admission requirements
To be considered for entry, applicants should hold a three-year
Bachelor's degree from an Australian 精东传媒app or equivalent.
A formal process of Accreditation of Prior Learning (APL) will be
used to assess applicants without Bachelor degrees, who wish to gain
entry to the program on the basis of equivalent experience or qualifications.
Applicants should contact the Faculty of Health, Engineering and Sciences
if they wish to be assessed for admission on this basis.
Domestic and International Applicants from a non-English speaking background are required to satisfy .
If you do not meet the English language requirements you may apply to study a 精东传媒app-approved . On successful completion of the English language program, Applicants 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 your higher education and
you as a student pay a , which varies depending on the
courses undertaken. You 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. You 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. You 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 Recommended Enrolment Pattern section. At least four units must be at Level 8 for the Environment and Sustainability, Physics and Astronomy specialisations and at least 2 units must be Level 8 for the Mathematics and Statistics specialisations.
Agricultural Science specialisation
The program consists of 4 core courses, all available in external mode, and 4 electives that can be taken as a themed 鈥榤inor鈥� or as independent electives.
| Semester 1鈥燸 | Semester 2鈥燸 |
| Mandatory core courses: | |
| CLI8001 Climate Risk+ | AGR8003 Critical Issues in Agriculture+ |
| Minor/Electives# | |
| Agricultural Practices Theme | |
| Wine Technology Theme | |
| * | |
| Semester 3 | |
| WIN3310 Wine Sensory Analysis+* | |
| Biology Theme | |
| * | * |
| * | |
| * | |
| # | |
| * | |
| # | |
| Climate Theme | |
| Footnotes | |
| 鈥� | This specialisation may not provide sufficient on-campus courses to be suitable to international on-campus students. |
| ^ | Students may vary their enrolment on the basis of prior studies or professional requirements with the approval of the Faculty of Health, Engineering and Sciences . |
| + | This course will not be offered until 2016. |
| # | may be available within each of the themes subject to approval of the Faculty of Health, Engineering and Sciences and availability of relevant placement. |
| * | Residential School |
Applied Data Science specialisation
The Applied Data Science specialisation consists of eight courses which are all available in external mode.
| Semester 1 | Semester 2 | Either Semester |
| STA8005 Multivariate Analysis for High-Dimensional Data | ||
| CSC8004 Data Mining |
Environment and Sustainability specialisation
The program consists of the following eight courses which are all available in external mode. Students may vary their enrolment on the basis of prior studies or professional requirements with the approval of the Faculty of Health, Engineering and Sciences. This specialisation may not include sufficient on-campus courses to be suitable for international on-campus students.
| Semester 1 | Semester 2 |
| or | or or or |
Physics and Astronomy specialisation
The program consists of eight units of study. Students may vary their enrolment on the basis of prior studies or professional requirements with the approval of the Faculty of Health, Engineering and Sciences.
| Semester 1 | Semester 2 |
| * | * |
| Plus one course selected from the following four: | |
| ^# | ^# |
| ^# | ^# |
| Footnotes | |
| * | Astronomical observations for each course are made remotely via internet access to USQ's Mt Kent Observatory. Voluntary field nights will also be made available. |
| ^ | Two unit course |
| # | Astronomical observations for each course are made remotely via internet access to USQ's Mt Kent Observatory. |
Mathematics and Statistics specialisation
The program consists of eight units of study. The courses studied will depend on the student's background in mathematics.
Students without the pre-requisites can take (S1) and (S1/2/3) as part of the program, but may not be able to complete in one year.
Students must complete any eight courses from the following tables, provided that normally at least two Level 8 courses and at least two extra Level 3 or 8 courses are completed.
Semester 1 Courses
| Level 1 | Level 2 | Level 3 | Level 8 |
| ^ | 镑#卤&苍产蝉辫; | $ | |
| 卤&苍产蝉辫; | ^卤&苍产蝉辫; | 卤$&苍产蝉辫; | |
| ^卤&苍产蝉辫; | 卤$&苍产蝉辫; | $ | $^ |
| ^$ | $ | ||
| Footnotes | |
| ^ | Students may vary their enrolment on the basis of prior studies or professional requirements with the approval of the Faculty of Health, Engineering and Sciences. |
| # | The on-campus offering of this course is offered in even years only. |
| 卤 | Recommended courses for students wanting to teach mathematics |
| $ | Recommended courses for students wanting to specialise in Statistics only |
Semester 2 Courses
| Level 1 | Level 2 | Level 3 | Level 8 |
| ^卤&苍产蝉辫; | 镑#卤&苍产蝉辫; | $ | |
| ^卤&苍产蝉辫; | ^*卤&苍产蝉辫; | 卤&苍产蝉辫; | |
| $ | 卤$&苍产蝉辫; | ||
| ^$ | $ | ^$ |
| Footnotes | |
| ^ | Students may vary their enrolment on the basis of prior studies or professional requirements with the approval of the Faculty of Health, Engineering and Sciences. |
| 卤 | Recommended courses for students wanting to teach mathematics |
| # | The on-campus offering of this course is offered in even years only. |
| $ | Recommended courses for students wanting to specialise in Statistics only |
| * | The on-campus offering of this course is offered in odd years only. |
IT requirements
Students should visit the USQ 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.
Articulation
Graduate Diploma of Science students may articulate to the MSCN Master of Science coursework program
with further completion of eight courses, as required by that program.
Graduate Diploma of Science students may articulate to the MSCR 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 and this must occur prior to graduation
from the GDSI. If a student is articulating to the higher degree,
they will apply to that higher degree and will only graduate from
that higher degree.
Exit points
Students may exit with the Graduate Certificate of Science on successful completion of four units of study appropriate for their chosen specialisation and with the required minimum number of level 8 courses. Students should consult the Faculty of Health, Engineering and Sciences should they wish to exit to ensure they satisfy requirements for the Graduate Certificate.
Credit
Exemptions/credit will be assessed based on the .
Applied Data Science specialisation:
Exemption of four units may be granted if student has completed the GCSC Graduate Certificate of Science offered by USQ.
Students who have completed in their Bachelor degree may replace STA2300 with another STA level 2 or above course.
Students who have completed in their Bachelor degree may replace CSC1401 with another CSC course.
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 Faculty of Health, Engineering and Sciences. 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.
In this section:
- Agricultural Science Specialisation recommended enrolment pattern - full-time (2 Semesters, S1 entry only): full-time available from 2016
- Agricultural Science Specialisation recommended enrolment pattern - part-time (4 Semesters, S1 or S2 commencement)
- Applied Data Science Specialisation recommended enrolment pattern - full-time commencing Semester 1
- Applied Data Science Specialisation recommended enrolment pattern - part-time commencing Semester 1
- Applied Data Science Specialisation recommended enrolment pattern - full-time commencing Semester 2
- Applied Data Science Specialisation recommended enrolment pattern - part-time commencing Semester 2
- Environment and Sustainability Specialisation recommended enrolment pattern - full-time commencing Semester 1 or Semester 2
- Environment and Sustainability Specialisation recommended enrolment pattern - part-time commencing Semester 1 or Semester 2
- Physics and Astronomy Specialisation recommended enrolment pattern - full-time commencing Semester 1 or Semester 2
- Physics and Astronomy Specialisation recommended enrolment pattern - part-time commencing Semester 1 or Semester 2
- Mathematics and Statistics Specialisation recommended enrolment pattern - full-time
Agricultural Science Specialisation recommended enrolment pattern - full-time (2 Semesters, S1 entry only): full-time available from 2016
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 external mode only.
The recommended enrolment pattern for this major 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 Faculty of Health, Engineering and Sciences.
| Course | Year of program and semester in which course is normally studied | Residential school | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|---|
| On-campus (ONC) | Distance education (EXT) | Online (ONL) | ||||||
| Year | Sem | Year | Sem | Year | Sem | |||
|
Year 1, Semester 1 | ||||||||
| CLI8001 Climate Risk^ | 1 | 1 | ||||||
| 1 | 1 | |||||||
| Elective 1# | 1 | 1 | 1 | 1 | ||||
| Elective 2# | 1 | 1 | 1 | 1 | ||||
|
Year 1, Semester 2 | ||||||||
| AGR8003 Critical Issues in Agriculture^+ | 2 | 2 | ||||||
| 2 | 2 | |||||||
| Elective 3# | 2 | 2 | 2 | 2 | ||||
| Elective 4# | 2 | 2 | 2 | 2 | ||||
|
Potential electives include# | ||||||||
| 2 | 2 | |||||||
| 1 | 1 | |||||||
| * | 3 | C | ||||||
| 1 | 1 | |||||||
| 1 | 1 | |||||||
| 1 | 1 | |||||||
| 1 | 3 | |||||||
| 1 | 1 | |||||||
| 2 | ||||||||
| * | 1 | 1 | C | |||||
| * | 2 | 2 | C | Pre-requisite: | ||||
| 1 | 1 | Pre-requisite: | ||||||
| * | 2 | C | Pre-requisite: | |||||
| 2 | 2 | Pre-requisite: and | ||||||
| 2 | 2 | Pre-requisite: | ||||||
| 1 | 2 | |||||||
| * | 1 | 1 | C | |||||
| * | 2 | 2 | C | Pre-requisite: | ||||
| 1,2 | 1,2,3 | |||||||
| 1 | ||||||||
| * | 1 | C | Pre-requisite: and | |||||
| 2 | Pre-requisite: and ( or ) | |||||||
| 1 | Pre-requisite: | |||||||
| WIN3310 Wine Sensory Analysis^* | 1 | C | ||||||
| ++* | 3 | Pre-requisite: WIN2202 and WIN2203 | ||||||
| 1,2,3 | Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area) | |||||||
| Footnotes | |
| ^ | This course will not be offered until 2016. |
| # | Selection of potential electives should be discussed with the Faculty of Health, Engineering and Sciences. |
| + | This course must be taken in last semester. |
| * | Residential School |
| ++ | This course is only offered in Semester 3. |
Agricultural Science Specialisation recommended enrolment pattern - part-time (4 Semesters, S1 or S2 commencement)
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 external mode only.
The recommended enrolment pattern for this major 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 Faculty of Health, Engineering and Sciences.
| Course | Year of program and semester in which course is normally studied | Residential school | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|---|
| On-campus (ONC) | Distance education (EXT) | Online (ONL) | ||||||
| Year | Sem | Year | Sem | Year | Sem | |||
|
Year 1 | ||||||||
| Elective 1# | 1 | 1 | 1 | 1 | ||||
| 1 | 1 | |||||||
| 1 | 2 | |||||||
| Elective 2# | 1 | 2 | 1 | 2 | ||||
|
Year 2 | ||||||||
| CLI8001 Climate Risk^ | 2 | 1 | ||||||
| Elective 3# | 2 | 1 | 2 | 1 | ||||
| AGR8003 Critical Issues in Agriculture+^ | 2 | 2 | ||||||
| Elective 4# | 2 | 2 | 2 | 2 | ||||
|
Potential electives include# | ||||||||
| 2 | 2 | |||||||
| 1 | 1 | |||||||
| * | 3 | C | ||||||
| 1 | 1 | |||||||
| 1 | 1 | |||||||
| 1 | 1 | |||||||
| 1 | 3 | |||||||
| 1 | 1 | |||||||
| 2 | ||||||||
| * | 1 | 1 | C | |||||
| * | 2 | 2 | C | Pre-requisite: | ||||
| 1 | 1 | Pre-requisite: | ||||||
| * | 2 | C | Pre-requisite: | |||||
| 2 | 2 | Pre-requisite: and | ||||||
| 2 | 2 | Pre-requisite: | ||||||
| 1 | 2 | |||||||
| * | 1 | 1 | C | |||||
| * | 2 | 2 | C | Pre-requisite: | ||||
| 1,2 | 1,2,3 | |||||||
| 1 | ||||||||
| * | 1 | C | Pre-requisite: and | |||||
| 2 | Pre-requisite: and ( or ) | |||||||
| 1 | Pre-requisite: | |||||||
| WIN3310 Wine Sensory Analysis^* | 1 | C | ||||||
| ++* | 3 | Pre-requisite: WIN2202 and WIN2203 | ||||||
| 1,2,3 | Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area) | |||||||
| Footnotes | |
| # | Selection of potential electives should be discussed with the Program Coordinator. |
| ^ | This course will not be offered until 2016. |
| + | This course must be taken in last semester. |
| * | Residential School |
| ++ | This course is only offered in Semester 3. |
Applied Data Science Specialisation recommended enrolment pattern - full-time commencing Semester 1
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.
For students who have completed and in their Bachelor Degree
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | Distance education (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| 1 | 1 | 1 | 1 | ||||
| 1 | 1 | 1 | 1 | Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN | |||
| STA8005 Multivariate Analysis for High-Dimensional Data | 1 | 1 | 1 | 1 | |||
| CSC8004 Data Mining | 1 | 1 | 1 | 1 | |||
| 1 | 2 | 1 | 2 | ||||
| 1 | 2 | 1 | 2 | Pre-requisite or Co-requisite: and | |||
| One STA course at level 2 or above replacing STA2300 | 1 | 2 | 1 | 2 | |||
| One CSC course at level 2 or above replacing CSC1401 | 1 | 2 | 1 | 2 | |||
Applied Data Science Specialisation recommended enrolment pattern - part-time commencing Semester 1
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.
For students who have completed and in their Bachelor Degree
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | Distance education (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| 1 | 1 | 1 | 1 | ||||
| 1 | 1 | 1 | 1 | Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN | |||
| 1 | 2 | 1 | 2 | ||||
| 1 | 2 | 1 | 2 | Pre-requisite or Co-requisite: and | |||
| STA8005 Multivariate Analysis for High-Dimensional Data | 2 | 1 | 2 | 1 | |||
| CSC8004 Data Mining | 2 | 1 | 2 | 1 | |||
| One STA course at level 2 or above replacing STA2300 | 2 | 2 | 2 | 2 | |||
| One CSC course at level 2 or above replacing CSC1401 | 2 | 2 | 2 | 2 | |||
Applied Data Science Specialisation recommended enrolment pattern - full-time commencing Semester 2
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) | Distance education (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| 1 | 2,3 | 1 | 2,3 | ||||
| 1 | 2 | 1 | 2,3 | ||||
| 1 | 2 | 1 | 2 | ||||
| 1 | 2 | 1 | 2 | Pre-requisite or Co-requisite: and | |||
| 2 | 1 | 2 | 1 | ||||
| 2 | 1 | 2 | 1 | Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN | |||
| STA8005 Multivariate Analysis for High-Dimensional Data | 2 | 1 | 2 | 1 | |||
| CSC8004 Data Mining | 2 | 1 | 2 | 1 | |||
Applied Data Science Specialisation recommended enrolment pattern - part-time commencing Semester 2
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) | Distance education (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| 1 | 2,3 | 1 | 2,3 | ||||
| 1 | 2 | 1 | 2,3 | ||||
| 2 | 1 | 2 | 1 | ||||
| 2 | 1 | 2 | 1 | Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN | |||
| 2 | 2 | 2 | 2 | ||||
| 2 | 2 | 2 | 2 | Pre-requisite or Co-requisite: and | |||
| STA8005 Multivariate Analysis for High-Dimensional Data | 3 | 1 | 3 | 1 | |||
| CSC8004 Data Mining | 3 | 1 | 3 | 1 | |||
Environment and Sustainability Specialisation recommended enrolment pattern - full-time commencing Semester 1 or Semester 2
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 major 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 Faculty of Health, Engineering and Sciences.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | Distance education (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Year 1, Semester 1 | |||||||
| 1 | 1 | ||||||
| 1 | 1 | ||||||
| 1 | 1 | 1 | 1 | ||||
|
And one of: | |||||||
| 1 | 1 | ||||||
| 1 | 1 | 1 | 1 | ||||
|
Year 1, Semester 2 (or Semester 2 entry) | |||||||
| 1 | 2 | ||||||
| 1 | 2 | 1 | 2 | ||||
| 1 | 2 | ||||||
|
And one of: | |||||||
| 1 | 2 | 1 | 2 | ||||
| 1 | 2 | 1 | 2 | ||||
| 1 | 2 | ||||||
| 1 | 2 | 1 | 2 | ||||
Environment and Sustainability Specialisation recommended enrolment pattern - part-time commencing Semester 1 or Semester 2
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 major 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 Faculty of Health, Engineering and Sciences.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | Distance education (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Year 1 | |||||||
| 1 | 1 | ||||||
| 1 | 1 | ||||||
| 1 | 2 | ||||||
| 1 | 2 | 1 | 2 | ||||
|
Year 2 | |||||||
| 2 | 1 | 2 | 1 | ||||
|
And one of: | |||||||
| 2 | 1 | ||||||
| 2 | 1 | 2 | 1 | ||||
| 2 | 2 | ||||||
|
And one of: | |||||||
| 2 | 2 | 2 | 2 | ||||
| 2 | 2 | ||||||
| 2 | 2 | 2 | 2 | ||||
| 2 | 2 | 2 | 2 | ||||
Physics and Astronomy Specialisation recommended enrolment pattern - full-time commencing Semester 1 or Semester 2
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 major 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 Faculty of Health, Engineering and Sciences.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | Distance education (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| * | 1 | 1 | |||||
| 1 | 1 | ||||||
| 1 | 1 | ||||||
| * | 1 | 2 | |||||
| 1 | 2 | ||||||
| 1 | 2 | ||||||
|
Plus one of the following courses: | |||||||
| 鈥�# | 1 | 1 | |||||
| 鈥�# | 1 | 1 | |||||
| 鈥�# | 1 | 2 | |||||
| 鈥�# | 1 | 2 | |||||
| Footnotes | |
| * | Astronomical observations for each course are made remotely via internet access to USQ'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 USQ's Mt Kent Observatory. |
Physics and Astronomy Specialisation recommended enrolment pattern - part-time commencing Semester 1 or Semester 2
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 major 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 Faculty of Health, Engineering and Sciences.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | Distance education (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
| * | 1 | 1 | |||||
| 1 | 1 | ||||||
| * | 1 | 2 | |||||
| 1 | 2 | ||||||
| 2 | 1 | ||||||
| 2 | 2 | ||||||
|
Plus one of the following courses: | |||||||
| 鈥�# | 2 | 1 | |||||
| 鈥�# | 2 | 1 | |||||
| 鈥�# | 2 | 2 | |||||
| 鈥�# | 2 | 2 | |||||
| Footnotes | |
| * | Astronomical observations for each course are made remotely via internet access to USQ'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 USQ's Mt Kent Observatory. |
Mathematics and Statistics Specialisation recommended enrolment pattern - full-time
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 major is an example only for Semester 1 enrolment assuming a student already has studied . 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 Coordinator.
| Course | Year of program and semester in which course is normally studied | Enrolment requirements | |||||
|---|---|---|---|---|---|---|---|
| On-campus (ONC) | Distance education (EXT) | Online (ONL) | |||||
| Year | Sem | Year | Sem | Year | Sem | ||
|
Semester 1 | |||||||
| 1 | 1 | 1 | 1 | ||||
| 1 | 1 | 1 | 1 | Pre-requisite: or approval of examiner | |||
| 1 | 1 | 1 | 1 | ||||
| 1 | 1 | 1 | 1 | ||||
|
Semester 2 | |||||||
| 1 | 2 | 1 | 2 | ||||
| 1 | 2 | 1 | 2 | ||||
| 1 | 1,2,3 | Pre-requisite: or approval of examiner | |||||
| 1 | 2 | 1 | 2 | Pre-requisite: or MAT1502 or or Students must be enrolled in one of the following Programs: MSBI or GCEN or GDET or METC | |||