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Graduate Diploma of Science (GDSI) - GradDipSci

CRICOS code (International applicants): 031448M

 On-campus*+^#@External*@
Semester intake: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:

To: Master of Science; Master of Science (Research)

Footnotes
*Please refer to the Program Structure for further information on mode of offer for each specialisation.
+The Applied Data Science specialisation is available to international on-campus students at USQ Toowoomba (only if students have completed STA2300 Data Analysis (or STA8170) and CSC1401 Foundation Programming or equivalent in their previous study).
^The Mathematics and Statistics specialisation is available to international on-campus students at USQ Toowoomba — Semester 1 only.
#The Sport and Exercise specialisation is available to International on-campus students at USQ Ipswich.
@Sport and Exercise specialisation: courses that include a practical skill competency component and residential school will be conducted at the Ipswich campus

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Contact us

Future Australian and New Zealand students  Future International students  Current students 
Ask a question
Freecall (within Australia): 1800 269 500
Phone (from outside Australia): +61 7 4631 5315
Email: study@usq.edu.au 
Ask a question
Phone: +61 7 4631 5543
Email: international@usq.edu.au 
Ask a question
Freecall (within Australia): 1800 007 252
Phone (from outside Australia): +61 7 4631 2285
Email: usq.support@usq.edu.au  

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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 ‘climate smart’ 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 ‘climate smart’ 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 .

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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.


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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 www.aqf.edu.au.

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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 Credit and Exemption Procedure.

  • English Language Proficiency requirements for Category 3.


All students are required to satisfy the applicable English language requirements.

If students do not meet the English language requirements they may apply to study a University-approved English language program. On successful completion of the English language program, students may be admitted to an award program.

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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 student contribution amount, which varies depending on the courses undertaken. Students are able to calculate the fees for a particular course via the Course Fee Finder.

Commonwealth Supported students may be eligible to defer their fees through a Government loan called HECS-HELP.

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 Course Fee Finder.

Domestic full fee paying students may be eligible to defer their fees through a Government loan called FEE-HELP 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 FEE-Help.

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 Course Fee Finder.

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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  Toowoomba or 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 USQ campus.
#Available in Semester 1 full-time only to students who have completed CSC1401 Foundation Programming and STA2300 Data Analysis (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 Coordinator.
@The Semester 1 full-time enrolment assumes students have current skills at the level of Queensland Senior Secondary Schools Studies Mathematics B 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 Coordinator.

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Required time limits

Students have a maximum of 3 years to complete this program.

Specific specialisations

In this section:

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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 Coordinator 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 Coordinator via usq.support@usq.edu.au and availability of relevant placement.

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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 Coordinator via usq.support@usq.edu.au. This specialisation is not suitable for international on-campus students.

Semester 1  Semester 2 
CLI8001 Climate Risk  CLI3302 Adaptation to Climate Change 
CLI8204 Global Environmental Systems  CLI8205 Climate and Sustainability 
CLI8002 Climate, Human and Environmental Health and Disaster Management*  CLI8003 Climate, Food, Water and Energy Security* 

Footnotes
*Two unit course

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Applied Data Science specialisation

This specialisation consists of eight courses which are all available on-campus and online.

Semester 1  Semester 2  Either Semester 
CSC8500 Advanced Relational Database Design and Technology  CSC8001 Introduction to Data Science and Visualisation  CSC1401 Foundation Programming* 
STA8005 Multivariate Analysis for High-Dimensional Data  CSC8002 Big Data Management  CIS8008 Business Intelligence 
CSC8004 Data Mining     
STA8170 Statistics for Quantitative Researchers*     

Footnotes
*Semester 1 entry is only available if students have completed STA2300 (or STA8170) and CSC1401 in their previous study.

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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 Coordinator via usq.support@usq.edu.au. This specialisation is not suitable for international on-campus students.

Semester 1  Semester 2 
REN8101 Environment, Society and Sustainability  REN8202 Conservation for Sustainable Futures 
CLI8204 Global Environmental Systems  CLI8205 Climate and Sustainability 
CLI3301 Climate and Environment Risk Assessment  REN3302 Sustainable Resource Use 
SCI8103 Research Fundamentals and Ethics   REN3301 Biodiversity and Conservation 

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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) may not be able to complete in one year.

Students must complete eight courses from the following table. At least four courses must be at Level 8. Students may seek approval from the Discipline Coordinator to enrol in courses not listed in this table.

Semester 1 Courses

Level 1  Level 2  Level 3  Level 8 
MAT1101 Discrete Mathematics for Computing  MAT2409 High Performance Numerical Computing  MAT3105 Harmony of Partial Differential Equations  MAT8180 Mathematics/Statistics Complementary Studies A 
MAT1102 Algebra and Calculus I  ENM2600 Advanced Engineering Mathematics  MAT3201 Operations Research 2  STA8180 Advanced Statistics A 
ENM1600 Engineering Mathematics    SCI3302 Industry Placement  STA8005 Multivariate Analysis for High-Dimensional Data 
CSC1401 Foundation Programming  STA2301 Distribution Theory  STA3300 Experimental Design  STA8170 Statistics for Quantitative Researchers 

Semester 2 Courses

Level 1  Level 2  Level 3  Level 8 
ENM1600 Engineering Mathematics  MAT2100 Algebra and Calculus II  MAT3103 Mathematical Modelling and Dynamical Systems  MAC8901 Issues in Teaching Mathematics 
MAT1100 Foundation Mathematics  STA2300 Data Analysis  MAT3104 Mathematical Modelling in Financial Economics  MAT8190 Mathematics/Statistics Complementary Studies B 
  STA2302 Statistical Inference  SCI3302 Industry Placement  STA8190 Advanced Statistics B 
  MAT2200 Operations Research 1  STA3301 Statistical Models   
  CSC2410 Computational Thinking with Python     

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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 Coordinator 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 

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Sport and Exercise specialisation

This specialisation consists of four compulsory courses (five units) and three approved courses.

Compulsory Courses (five units)  Approved Courses (choose three) 
SES8005 Advanced Exercise Physiology  SES8008 Advanced Anatomy and Physiology 
SES8006 Advanced Exercise Programming and Rehabilitation  SES8001 Advanced Biomechanics 
SES8007 Advanced Exercise Assessment and Delivery  SES8003 Advanced Motor Control and Learning 
MSC8001 Research Project I ^  PSY3250 Sport and Exercise Psychology  
  SES2101 Growth, Development and Lifespan 
  SES2203 Physical Activity and Health 
  SES3103 Nutrition and Exercise 
  SES2204 Strength Training and Conditioning 

Footnotes
^Two-unit course.

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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.

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IT requirements

Students should visit the USQ minimum computing standards 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.

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Residential schools

The attendance requirement of residential schools within this degree is indicated by the following letters: V = Voluntary; O = Optional; C = Compulsory; R = Recommended; HR = Highly Recommended; M = Mandatory. Find out more about residential schools, visit the Residential School Schedule to view specific dates for your degree, or visit the Policy and Procedure Library.

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:


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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 Coordinator with respect to transfer or application for course exemptions prior to graduation from the Graduate Diploma of Science.

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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 Coordinator via usq.support@usq.edu.au should they wish to exit to ensure they satisfy requirements for the Graduate Certificate.

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Credit

Exemptions/credit will be assessed based on the USQ Credit and Exemption Procedure.

Students who have successfully completed STA2300 Data Analysis should apply for an exemption for STA8170 Statistics for Quantitative Researchers .

Applied Data Science specialisation:

Where a student's enrolment pattern does not allow them to complete STA8170 Statistics for Quantitative Researchers in Semester 1 they may replace with STA2300 Data Analysis in Semester 2 or Semester 3, as long as the student completes the required number of Level 8 courses for their program.

Sport and Exercise specialisation:

Exemption of four units may be granted if student has completed the Graduate Certificate of Sport and Exercise offered by USQ.

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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 Coordinator 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:

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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 Coordinator via usq.support@usq.edu.au


CourseYear of program and semester
in which course is normally studied
Residential schoolEnrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Year 1, Semester 1

CLI8001 Climate Risk11
AGR8001 Food Security in the 21st Century11

Choose two approved courses:#

AGR2303 Agronomy1111
AGR3303 Agricultural Materials and Post-Harvest Technologies1111
AGR4305 Agricultural Soil Mechanics1111
SCI3302 Industry Placement^11,2,311,2,3Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area)

Year 1, Semester 2

AGR8003 Critical Issues in Agriculture22
AGR8002 Emerging Technologies in Agriculture22

Choose two approved courses:#

BIO3318 Plant Microbe Interactions*1212HRPre-requisite: BIO1101 or BIO1100
ENV4106 Irrigation Science1212Pre-requisite: AGR3304 or Students must be enrolled in one of the following Programs: GCEN or METC or MEPR or GCNS or GDNS or MENS
BIO8201 Biology Foundations12
SCI3302 Industry Placement^11,2,311,2,3Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area)
REN3302 Sustainable Resource Use1212

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 Coordinator 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).

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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 Coordinator via usq.support@usq.edu.au


CourseYear of program and semester
in which course is normally studied
Residential schoolEnrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Year 1

Approved Course 1#1111
AGR8001 Food Security in the 21st Century11
AGR8002 Emerging Technologies in Agriculture12
Approved Course 2#1212

Year 2

CLI8001 Climate Risk21
Approved Course 3#2121
AGR8003 Critical Issues in Agriculture22
Approved Course 4#2222

Approved Courses include:#

AGR2303 Agronomy11
AGR3303 Agricultural Materials and Post-Harvest Technologies11
AGR4305 Agricultural Soil Mechanics11
SCI3302 Industry Placement1,2,31,2,3Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area)
BIO3318 Plant Microbe Interactions*22HRPre-requisite: BIO1101 or BIO1100
ENV4106 Irrigation Science22Pre-requisite: AGR3304 or Students must be enrolled in one of the following Programs: GCEN or METC or MEPR or GCNS or GDNS or MENS
BIO8201 Biology Foundations2
REN3302 Sustainable Resource Use22

Footnotes
#Selection of potential approved courses should be discussed with the Program Coordinator. 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).

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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.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem
CLI8001 Climate Risk11
CLI8204 Global Environmental Systems11
CLI8002 Climate, Human and Environmental Health and Disaster Management*11
CLI3302 Adaptation to Climate Change12
CLI8205 Climate and Sustainability12
CLI8003 Climate, Food, Water and Energy Security*12

Footnotes
*Two unit course.

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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.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem
CLI8001 Climate Risk11
CLI8204 Global Environmental Systems11
CLI8003 Climate, Food, Water and Energy Security*12
CLI8002 Climate, Human and Environmental Health and Disaster Management*21
CLI8205 Climate and Sustainability22
CLI3302 Adaptation to Climate Change22

Footnotes
*Two unit course

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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.

Only available to students who have completed CSC1401 Foundation Programming and STA2300 Data Analysis (or STA8170 Statistics for Quantitative Researchers) in previous study.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem
CIS8008 Business Intelligence1111,2
CSC8500 Advanced Relational Database Design and Technology1111Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN or GCSC or GDSI or MSCN.
STA8005 Multivariate Analysis for High-Dimensional Data1111Pre-requisite: STA2300
CSC8004 Data Mining1111Pre-requisite: STA2300 and CSC1401
CSC8001 Introduction to Data Science and Visualisation1212
CSC8002 Big Data Management1212Pre-requisite or Co-requisite: CSC1401 and STA2300
Approved course — One STA course at level 2 or above 1212
Approved course — One CSC course at level 2 or above 1212

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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.

Only available to students who have completed CSC1401 Foundation Programming and STA2300 Data Analysis (or STA8170 Statistics for Quantitative Researchers) in previous study.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem
CIS8008 Business Intelligence1111,2
CSC8500 Advanced Relational Database Design and Technology1111Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN or GCSC or GDSI or MSCN.
CSC8001 Introduction to Data Science and Visualisation1212
CSC8002 Big Data Management1212Pre-requisite or Co-requisite: CSC1401 and STA2300
STA8005 Multivariate Analysis for High-Dimensional Data2121Pre-requisite: STA2300
CSC8004 Data Mining2121Pre-requisite: STA2300 and CSC1401
Approved Course — One STA course at level 2 or above 2222
Approved Course — One CSC course at level 2 or above 2222

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Applied Data Science specialisation recommended enrolment pattern - part-time S1 entry (without CSC1401 and STA2300 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.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Year 1, Semester 1

CSC8500 Advanced Relational Database Design and Technology1111Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN or GCSC or GDSI or MSCN.
STA8170 Statistics for Quantitative Researchers1111Enrolment is not permitted in STA8170 if STA2300 Data Analysis or STA3100 Evaluating Information has been previously completed.

Year 1, Semester 2

CSC1401 Foundation Programming1211,2,3
CSC8001 Introduction to Data Science and Visualisation1212

Year 2, Semester 1

CSC8004 Data Mining2121Pre-requisite: STA2300 and CSC1401
STA8005 Multivariate Analysis for High-Dimensional Data2121Pre-requisite: STA2300

Year 2, Semester 2

CIS8008 Business Intelligence21,2
CSC8002 Big Data Management2222Pre-requisite or Co-requisite: CSC1401 and STA2300

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Applied Data Science specialisation recommended enrolment pattern - full-time S2 entry (requires Program Coordinator 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.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Year 1, Semester 2

CSC1401 Foundation Programming1211,2,3
CSC8001 Introduction to Data Science and Visualisation1212
CSC8002 Big Data Management1212Pre-requisite or Co-requisite: CSC1401 and STA2300
STA2300 Data Analysis*1211,2,3Enrolment is not permitted in STA2300 if STA8170 or STA3100 has been previously completed.

Year 1, Semester 1

CIS8008 Business Intelligence1111,2
CSC8004 Data Mining1111Pre-requisite: STA2300 and CSC1401
CSC8500 Advanced Relational Database Design and Technology1111Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN or GCSC or GDSI or MSCN.
STA8005 Multivariate Analysis for High-Dimensional Data1111Pre-requisite: STA2300

Footnotes
*On approval from the Program Coordinator, students may be approved to undertake STA8170 Statistics for Quantitative Researchers instead of STA2300.

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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.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Year 1, Semester 2

CSC1401 Foundation Programming1211,2,3
CSC8001 Introduction to Data Science and Visualisation1212

Year 1, Semester 1

STA8170 Statistics for Quantitative Researchers1111Enrolment is not permitted in STA8170 if STA2300 Data Analysis or STA3100 Evaluating Information has been previously completed.
CSC8500 Advanced Relational Database Design and Technology1111Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN or GCSC or GDSI or MSCN.

Year 2, Semester 2

CSC8002 Big Data Management2222Pre-requisite or Co-requisite: CSC1401 and STA2300
CIS8008 Business Intelligence21,2

Year 2, Semester 1

CSC8004 Data Mining2121Pre-requisite: STA2300 and CSC1401
STA8005 Multivariate Analysis for High-Dimensional Data2121Pre-requisite: STA2300

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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.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Year 1, Semester 1

REN8101 Environment, Society and Sustainability11
CLI8204 Global Environmental Systems11
CLI3301 Climate and Environment Risk Assessment11
SCI8103 Research Fundamentals and Ethics11Pre-requisite: Students must be enrolled in one of the following programs: MSCN or MSCR or MCTN. Enrolment is not permitted in SCI8103 if SCI4405 has been previously completed.

Year 1, Semester 2 (or Semester 2 entry)

CLI8205 Climate and Sustainability12
REN3302 Sustainable Resource Use1212
REN8202 Conservation for Sustainable Futures12
REN3301 Biodiversity and Conservation1212

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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.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Year 1

REN8101 Environment, Society and Sustainability11
SCI8103 Research Fundamentals and Ethics11Pre-requisite: Students must be enrolled in one of the following programs: MSCN or MSCR or MCTN. Enrolment is not permitted in SCI8103 if SCI4405 has been previously completed.
REN8202 Conservation for Sustainable Futures12
REN3302 Sustainable Resource Use1212

Year 2

CLI3301 Climate and Environment Risk Assessment21
CLI8204 Global Environmental Systems21
CLI8205 Climate and Sustainability22
REN3301 Biodiversity and Conservation2222

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Mathematics and Statistics 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.

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 Coordinator.

This pattern assumes students have current skills at the level of Queensland Senior Secondary School Studies Maths B or equivalent. Students without this knowledge should contact the Program Coordinator for advice and may have to study part-time.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Semester 1

MAT1102 Algebra and Calculus I#1111
STA8170 Statistics for Quantitative Researchers#$1111Enrolment is not permitted in STA8170 if STA2300 Data Analysis or STA3100 Evaluating Information has been previously completed.
STA8005 Multivariate Analysis for High-Dimensional Data1111Pre-requisite: STA2300
MAT8180 Mathematics/Statistics Complementary Studies A#*1111

Semester 2

MAT2200 Operations Research 1#1212Pre-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*$12
MAT2100 Algebra and Calculus II#1212Pre-requisite: MAT1102 or MAT1502 or ENM1600 or Students must be enrolled in the following program: MSCN or MEPR
CSC2410 Computational Thinking with Python1212

Footnotes
#recommended for students wanting to teach mathematics.
$recommended for students wanting to specialise 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.

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Mathematics and Statistics 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.

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 Coordinator.

This pattern requires students to have knowledge equivalent to MAT1102 Algebra and Calculus I and STA2300 Data Analysis (or STA8170 Statistics for Quantitative Researchers ).


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Semester 1

ENM2600 Advanced Engineering Mathematics1111Pre-requisite: ENM1600 or Students must be enrolled in one of the following Programs: GCEN or METC or MENS or GDNS or MEPR
STA8180 Advanced Statistics A$*11
STA8005 Multivariate Analysis for High-Dimensional Data1111Pre-requisite: STA2300
MAT3201 Operations Research 2#1111Pre-requisite: MAT1200 or MAT2200

Semester 2

MAT8190 Mathematics/Statistics Complementary Studies B#*1212
STA8190 Advanced Statistics B$*12
MAT2200 Operations Research 1#1212Pre-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 Python1212

Footnotes
$recommended for students wanting to specialise 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.
#recommended for students wanting to teach mathematics.

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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 Coordinator via usq.support@usq.edu.au.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Semester 1

STA8170 Statistics for Quantitative Researchers#$1111Enrolment is not permitted in STA8170 if STA2300 Data Analysis or STA3100 Evaluating Information has been previously completed.
MAT1102 Algebra and Calculus I#1111

Semester 2

MAT2100 Algebra and Calculus II#1212Pre-requisite: MAT1102 or MAT1502 or ENM1600 or Students must be enrolled in the following program: MSCN or MEPR
CSC2410 Computational Thinking with Python1212

Choose four (4) of the following (at least three (3) of which must be at Level 8):

STA2301 Distribution Theory$2121Pre-requisite: STA2300 and (MAT1102 or ENM1600)
STA3300 Experimental Design$2121Pre-requisite: STA2300 or approval of examiner
STA8005 Multivariate Analysis for High-Dimensional Data#^2121Pre-requisite: STA2300
STA2302 Statistical Inference$2222Pre-requisite: STA2301
STA3301 Statistical Models$2222Pre-requisite: STA3300 or approval of examiner
STA8180 Advanced Statistics A$*21
STA8190 Advanced Statistics B$*22
MAT2409 High Performance Numerical Computing2121Pre-requisite: (CSC2410 or CSC1401) and (MAT1102 or ENM1600) or Students must be enrolled in one of the following Programs: MPIT or MCOT or MCTE
MAT2200 Operations Research 1#2222Pre-requisite: MAT1102 or ENM1600 or equivalent or approval from the examiner. Enrolment is not permitted in MAT2200 if MAT1200 has been previously completed.
MAT3105 Harmony of Partial Differential Equations#<2121Pre-requisite: ENM2600 or MAT2100 or MAT2500
MAT3103 Mathematical Modelling and Dynamical Systems#<2222Pre-requisite: MAT2100 or MAT2500 or ENM2600
MAT3201 Operations Research 2#2121Pre-requisite: MAT1200 or MAT2200
MAT3104 Mathematical Modelling in Financial Economics#>2222Pre-requisite: (MAT2100 and STA2300) or (MAT2500 and STA2300) or (ENM2600 and STA2300)
MAC8901 Issues in Teaching Mathematics#%2222
SCI3302 Industry Placement@21,2,31,2,3Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area)
MAT8180 Mathematics/Statistics Complementary Studies A#$*2111
MAT8190 Mathematics/Statistics Complementary Studies B#$*2212

Footnotes
#recommended for students wanting to teach mathematics.
$recommended for students wanting to specialise in statistics.
^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 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 Coordinator via usq.support@usq.edu.au; and availability of a relevant placement.

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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 Coordinator via usq.support@usq.edu.au.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem
PHY1101 Astronomy 1*11
PHY1104 Physics 111
SCI8103 Research Fundamentals and Ethics11Pre-requisite: Students must be enrolled in one of the following programs: MSCN or MSCR or MCTN. Enrolment is not permitted in SCI8103 if SCI4405 has been previously completed.
SCI8102 Research Skills^11,2
PHY1107 Astronomy 2*12
PHY1911 Physics 212

Approved courses - Choose one of the following two-unit courses:

PHY8001 Observational Astronomy#11
PHY8002 Planetary Science#11
PHY8003 Galactic Astronomy and Cosmology#12
PHY8004 Stellar Astronomy#12

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.
^SCI8102 can be taken in S2 and an approved course taken in S1.
Two unit course.
#Astronomical observations for each course are made remotely via internet access to USQ's Mt Kent Observatory.

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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 Coordinator via usq.support@usq.edu.au.


CourseYear of program and semester
in which course is normally studied
Enrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem
PHY1101 Astronomy 1*11
PHY1104 Physics 111
PHY1107 Astronomy 2*12
PHY1911 Physics 212
SCI8103 Research Fundamentals and Ethics21Pre-requisite: Students must be enrolled in one of the following programs: MSCN or MSCR or MCTN. Enrolment is not permitted in SCI8103 if SCI4405 has been previously completed.
SCI8102 Research Skills22

Approved courses - Choose one of the following two-unit courses:

PHY8001 Observational Astronomy#21
PHY8002 Planetary Science#21
PHY8003 Galactic Astronomy and Cosmology#22
PHY8004 Stellar Astronomy#22

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.

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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.


CourseYear of program and semester
in which course is normally studied
Residential schoolEnrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem

Year 1/Semester 1

SES8005 Advanced Exercise Physiology*1111M
SES8006 Advanced Exercise Programming and Rehabilitation*11,211,2M
Approved course 1 (from approved course list)1111
Approved course 2 (from approved course list) 1111

Year 1/Semester 2

SES8007 Advanced Exercise Assessment and Delivery*1212M
MSC8001 Research Project I#11,211,2Pre-requisite: Students must be enrolled in one of the following Programs: MCTN or MCOP or MCTE or BSCH or MSCN or have the approval of their program coordinator
Approved course 3 (from approved course list) 1212

Approved courses: Choose three courses from:

     SES8008 Advanced Anatomy and Physiology*11M
     SES8001 Advanced Biomechanics*22M
     SES8003 Advanced Motor Control and Learning*11M
     PSY3250 Sport and Exercise Psychology2Pre-requisite: PSY1010 or Students must be enrolled in one of the following programs: GDSI or MSCN
     SES2101 Growth, Development and Lifespan11
     SES2203 Physical Activity and Health22
     SES3103 Nutrition and Exercise22,3
     SES2204 Strength Training and Conditioning*22MPre-requisite: SES2103 and SES2104 and SES3101

Footnotes
*Only available in on-campus mode at Ipswich.
Two unit course
#Only available in on-campus mode at Toowoomba.