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Graduate Diploma of Science (GDSI) - GradDipSci

CRICOS code (International applicants): 031448M

You are currently viewing the 2023 Handbook. For study in 2024, please refer to the .

 On-campus*+^#@External * @
Start:Trimester 1 (January)
Trimester 2 (May)
Trimester 1 (January)
Trimester 2 (May)
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)

Notes

In 2023 the program follows the Semester calendar. The Academic Calendar and Important Dates webpage will allow you to view and download a copy of the important dates for the Semester calendar.

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 (STA6200 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 — 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

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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  

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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 6 and/or 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 .

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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 .

  • 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 ¾«¶«´«Ã½app-approved . 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 , 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, external or online. Students are able to calculate the fees for a particular course via the .

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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 6 and/or 8.

Specialisation  Offering 
  On-campus  Online  External 
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 STA6200 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.

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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 Work-Integrated-Learning#  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 Work-Integrated-Learning may be available subject to approval of the Program Director 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 Director 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 
CSC8450 Relational Database Systems  CSC6001 Introduction to Data Science and Visualisation  CSC5020 Foundations of Programming£* 
STA6100 Multivariate Analysis for High-Dimensional Data  CSC6002 Big Data Management£  CIS8008 Business Intelligence  
CSC6004 Data Mining    STA6200 Statistics for Quantitative Researchers* 

Footnotes
£In Semester 3, 2023 this course will be delivered as a Transition (9 week) semester, commencing on 13 November 2023 and concluding on 12 January 2024
*Semester 1 full-time entry is only available if students have completed (STA6200 or STA2300 or STA1003) and (CSC1401 or CSC5020) in their previous study, in which case they will study two appropriate electives instead.

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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 Director 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  REN8203 Sustainability Science 
SCI6103 Research Fundamentals and Ethics   And one of:

 

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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 STA6200 (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 6 and/or 8. Students may seek approval from the Discipline Coordinator to enrol in courses not listed in these tables.

Semester 1 Courses

Level 1  Level 2  Level 3  Level 6/8 
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 
  STA2301 Distribution Theory  STA3300 Experimental Design  STA6100 Multivariate Analysis for High-Dimensional Data 

Footnotes
†Unavailable on-campus at Toowoomba in S1 2023
§Unavailable online in Semester 3 2023

Semester 2 Courses

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

Footnotes
~Unavailable Semester 2, 2023 Toowoomba On-campus

Courses Offered in Either Semester 1 Or Semester 2

Level 1  Level 2  Level 3  Level 6 
ENM1600 Engineering Mathematics    SCI3302 Work-Integrated-Learning  STA6200 Statistics for Quantitative Researchers 
    CSC5020 Foundations of Programming£   

Footnotes
£In Semester 3, 2023 this course will be delivered as a Transition (9 week) semester, commencing on 13 November 2023 and concluding on 12 January 2024

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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 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  
SCI6103 Research Fundamentals and Ethics  SCI6102 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 and four approved courses.

Compulsory Courses: 
SES8001 Advanced Biomechanics 
SES8005 Advanced Exercise Physiology 
SES8006 Advanced Exercise Programming and Rehabilitation 
SES8007 Advanced Exercise Assessment and Delivery 
Approved Courses:  
Three of the following coursework courses from the Sport and Exercise specialisation in the Master of Science (MSCN) — one course must be Level 8: 
PSY3250 Sport and Exercise Psychology 
SES1103 Nutrition and Exercise 
SES2203 Physical Activity and Health 
SES3206 Strength Training and Conditioning 
SES8003 Advanced Motor Control and Learning 
SES8008 Advanced Anatomy and Physiology 
One of the following elective courses or as approved by the Program Director: 
 
CSC5020 Foundations of Programming£ 
EDU8400 Mentoring and Coaching 
EDU8606 Lifelong Career Development 
HSW8220 Promoting Community Access and Inclusion## 
MBA8000 Applied Business Research and Ethics 
MGT8033 Leading Organisational Change 
MGT8038 Leadership Development 
PCM5000 Practical Editorial Skills 
PUB5001 Introduction to Editing and Publishing 

Footnotes
£In Semester 3, 2023 this course will be delivered as a Transition (9 week) semester, commencing on 13 November 2023 and concluding on 12 January 2024
##HSW8220 is not available ONL in S1 2023

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General specialisation

This specialisation enables students who have completed at least 8 courses with at least 4 courses at Level 6 and/or 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

For information technology requirements, please refer to the .

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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:


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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 Director 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 Director 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 .

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.

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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 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:

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Agricultural Science specialisation recommended enrolment pattern - full-time (2 Semesters, S1 entry)

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


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

Year 1, Semester 1

CLI8001 Climate Risk 1 1
AGR8001 Food Security in the 21st Century11 11

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 Work-Integrated-Learning ^11,11 Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area)

Year 1, Semester 2

AGR8003 Critical Issues in Agriculture12 2 2
AGR8002 Emerging Technologies in Agriculture12 2 2

Choose two approved courses:#

BIO3318 Plant Microbe Interactions * 1 2 1 2 HRPre-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 2Pre-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 Work-Integrated-Learning^12,312,3 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 four Level 6 and/or 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).

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Agricultural Science specialisation recommended enrolment pattern - part-time (4 Semesters, S1 or S2 entry)

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


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

Year 1

Approved Course 1 # 1 1 1 1
AGR8001 Food Security in the 21st Century 11 1 1
AGR8002 Emerging Technologies in Agriculture 12 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 22 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 Work-Integrated-Learning1,2,31,2,3 Pre-requisite: Completion of 2nd year (or 2 years full time study in a relevant area)
BIO3318 Plant Microbe Interactions * 2 2 HRPre-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 2Pre-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 four Level 6 and/or 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


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

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Applied Climate Science specialisation recommended enrolment pattern - part-time S1 or S2 entry


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

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Applied Data Science specialisation recommended enrolment pattern - full-time S1 entry

This enrolment pattern is only available to students who have completed (CSC1401 Foundation Programming or CSC5020 Foundations of Programming ) and (STA6200 Statistics for Quantitative Researchers or STA2300 Data Analysis or STA1003 Fundamental Statistics) in previous study.


CourseYear of program and semester in which course is normally studiedEnrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem
CIS8008 Business Intelligence 1 1 11
CSC8450 Relational Database Systems 1 1 1 1Pre-requisite: CSC5020
STA6100 Multivariate Analysis for High-Dimensional Data 1 1 1 1Pre-requisite or Co-requisite: STA8170 or STA6200 or STA2300 or STA1003 Enrolment is not permitted in STA6100 if STA3200 has been previously completed
CSC6004 Data Mining 1 1 1 1Pre-requisite or Co-requisite: (STA2300 or STA1003 or STA8170 or STA6200) and (CSC1401 or CSC5020)
CSC6001 Introduction to Data Science and Visualisation 1 2 1 2
CSC6002 Big Data Management£ 1 2 12,3Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170 or STA6200) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS
Approved course — One STA course at level 2 or above 1 2
Approved course — One CSC course at level 2 or above 1 2 1 2

Footnotes
£In Semester 3, 2023 this course will be delivered as a Transition (9 week) semester, commencing on 13 November 2023 and concluding on 12 January 2024

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Applied Data Science specialisation recommended enrolment pattern - part-time S1 entry

This enrolment pattern is only available to students who have completed (CSC1401 Foundation Programming or CSC5020 Foundations of Programming ) and (STA6200 Statistics for Quantitative Researchers or STA2300 Data Analysis or STA1003 Fundamental Statistics) in previous study.


CourseYear of program and semester in which course is normally studiedEnrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem
CIS8008 Business Intelligence 1 1 1 1,2
CSC8450 Relational Database Systems 1 1 1 1Pre-requisite: CSC5020
CSC6001 Introduction to Data Science and Visualisation12 12
CSC6002 Big Data Management£ 1 2 12,3Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170 or STA6200) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS
STA6100 Multivariate Analysis for High-Dimensional Data 2 1 2 1Pre-requisite or Co-requisite: STA8170 or STA6200 or STA2300 or STA1003 Enrolment is not permitted in STA6100 if STA3200 has been previously completed
CSC6004 Data Mining 2 1 2 1Pre-requisite or Co-requisite: (STA2300 or STA1003 or STA8170 or STA6200) and (CSC1401 or CSC5020)
Approved Course — One STA course at level 2 or above 2 2 2 2
Approved Course — One CSC course at level 2 or above 2 2 2 2

Footnotes
£In Semester 3, 2023 this course will be delivered as a Transition (9 week) semester, commencing on 13 November 2023 and concluding on 12 January 2024

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Applied Data Science specialisation recommended enrolment pattern - part-time S1 entry (without (CSC1401 or CSC5020) and (STA6200 or STA2300 or STA1003) in previous study)


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

Year 1, Semester 1

CSC8450 Relational Database Systems 1 1 1 1Pre-requisite: CSC5020
STA6200 Statistics for Quantitative Researchers 1 1 11,2Enrolment is not permitted in STA6200 if STA2300 or STA1003 or STA1004 has been previously completed

Year 1, Semester 2

CSC5020 Foundations of Programming£11,2,3 11,2,3
CSC6001 Introduction to Data Science and Visualisation 1 2 1 2

Year 2, Semester 1

CSC6004 Data Mining 2 1 2 1Pre-requisite or Co-requisite: (STA2300 or STA1003 or STA8170 or STA6200) and (CSC1401 or CSC5020)
STA6100 Multivariate Analysis for High-Dimensional Data 2 1 2 1Pre-requisite or Co-requisite: STA8170 or STA6200 or STA2300 or STA1003 Enrolment is not permitted in STA6100 if STA3200 has been previously completed

Year 2, Semester 2

CIS8008 Business Intelligence 2 1,2
CSC6002 Big Data Management£ 2 2 22,3Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170 or STA6200) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS

Footnotes
£In Semester 3, 2023 this course will be delivered as a Transition (9 week) semester, commencing on 13 November 2023 and concluding on 12 January 2024

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Applied Data Science specialisation recommended enrolment pattern - full-time S2 entry (requires Program Director approval)


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

Year 1, Semester 2

CSC5020 Foundations of Programming£#11,2,3 11,2,3
CSC6001 Introduction to Data Science and Visualisation 1 2 1 2
CSC6002 Big Data Management£ 1 2 12,3Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170 or STA6200) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS
STA6200 Statistics for Quantitative Researchers*11,2Enrolment is not permitted in STA6200 if STA2300 or STA1003 or STA1004 has been previously completed

Year 1, Semester 1

CIS8008 Business Intelligence 1 1,2
CSC6004 Data Mining 1 1 1 1Pre-requisite or Co-requisite: (STA2300 or STA1003 or STA8170 or STA6200) and (CSC1401 or CSC5020)
CSC8450 Relational Database Systems 1 1 1 1Pre-requisite: CSC5020
STA6100 Multivariate Analysis for High-Dimensional Data 1 1 1 1Pre-requisite or Co-requisite: STA8170 or STA6200 or STA2300 or STA1003 Enrolment is not permitted in STA6100 if STA3200 has been previously completed

Footnotes
£In Semester 3, 2023 this course will be delivered as a Transition (9 week) semester, commencing on 13 November 2023 and concluding on 12 January 2024
#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 6 and/or 8 course to STA6200.

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Applied Data Science specialisation recommended enrolment pattern - part-time S2 entry


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

Year 1, Semester 2

CSC5020 Foundations of Programming£# 11,2,3 1 1,2,3
CSC6001 Introduction to Data Science and Visualisation 1 2 1 2

Year 1, Semester 1

STA6200 Statistics for Quantitative Researchers* 1 1 11,2Enrolment is not permitted in STA6200 if STA2300 or STA1003 or STA1004 has been previously completed
CSC8450 Relational Database Systems1111Pre-requisite: CSC5020

Year 2, Semester 2

CSC6002 Big Data Management£ 2 2 22,3Pre-requisite or Co-requisite: (CSC1401 or CSC5020) and (STA2300 or STA1003 or STA8170 or STA6200) or equivalent program and statistical knowledge and skills or students are enrolled in MCYS
CIS8008 Business Intelligence 2 1,2

Year 2, Semester 1

CSC6004 Data Mining 2 1 2 1Pre-requisite or Co-requisite: (STA2300 or STA1003 or STA8170 or STA6200) and (CSC1401 or CSC5020)
STA6100 Multivariate Analysis for High-Dimensional Data 2 1 2 1Pre-requisite or Co-requisite: STA8170 or STA6200 or STA2300 or STA1003 Enrolment is not permitted in STA6100 if STA3200 has been previously completed

Footnotes
£In Semester 3, 2023 this course will be delivered as a Transition (9 week) semester, commencing on 13 November 2023 and concluding on 12 January 2024
#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 6 and/or 8 course to STA6200.

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Environment and Sustainability specialisation recommended enrolment pattern - full-time S1 or S2 entry


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

Year 1, Semester 1

REN8101 Environment, Society and Sustainability11Enrolment is not permitted in REN8101 if REN1201 has been previously completed.
CLI8204 Global Environmental Systems11
CLI3301 Climate and Environment Risk Assessment11
SCI6103 Research Fundamentals and Ethics11Pre-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 SCI6103 if SCI4405 has been previously completed.

Year 1, Semester 2 (or Semester 2 entry)

CLI8205 Climate and Sustainability12
REN8202 Conservation for Sustainable Futures12Enrolment is not permitted in REN8202 if REN2200 has been previously completed.
REN8203 Sustainability Science12Pre-requisite: REN8101 or REN8202 or REN3302 or REN3301 or CLI8204 or CLI8205 or ECO8011

And one of:

REN3301 Biodiversity and Conservation1212
REN3302 Sustainable Resource Use1212

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Environment and Sustainability specialisation recommended enrolment pattern - part-time S1 or S2 entry


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

Year 1

REN8101 Environment, Society and Sustainability 1 1Enrolment is not permitted in REN8101 if REN1201 has been previously completed.
SCI6103 Research Fundamentals and Ethics 1 1Pre-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 SCI6103 if SCI4405 has been previously completed.
REN8202 Conservation for Sustainable Futures 1 2Enrolment is not permitted in REN8202 if REN2200 has been previously completed.

And one of:

REN3301 Biodiversity and Conservation12 12
REN3302 Sustainable Resource Use12 12

Year 2

CLI3301 Climate and Environment Risk Assessment 2 1
CLI8204 Global Environmental Systems 2 1
CLI8205 Climate and Sustainability 2 2
REN8203 Sustainability Science22Pre-requisite: REN8101 or REN8202 or REN3302 or REN3301 or CLI8204 or CLI8205 or ECO8011

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Mathematics and Statistics specialisation recommended enrolment pattern - full-time S1 entry (with QSSSS Mathematical Methods)

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.


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

Semester 1

MAT1102 Algebra and Calculus I# 1 1 1 1
STA6200 Statistics for Quantitative Researchers<#$ 1 1 11,2Enrolment is not permitted in STA6200 if STA2300 or STA1003 or STA1004 has been previously completed
STA6100 Multivariate Analysis for High-Dimensional Data 1 1 1 1Pre-requisite or Co-requisite: STA8170 or STA6200 or STA2300 or STA1003 Enrolment is not permitted in STA6100 if STA3200 has been previously completed
MAT8180 Mathematics/Statistics Complementary Studies A#* 1 1 1 1

Semester 2

MAT2200 Operations Research 1# 1 2 1 2Pre-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 2Pre-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 STA6200.
$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 (without MAT1102 or STA1003 (or STA6200))

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 (STA6200 Statistics for Quantitative Researchers or STA2300 ).


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

Semester 1

ENM2600 Advanced Engineering Mathematics§ 1 1 1 1Pre-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
STA6100 Multivariate Analysis for High-Dimensional Data 1 1 1 1Pre-requisite or Co-requisite: STA8170 or STA6200 or STA2300 or STA1003 Enrolment is not permitted in STA6100 if STA3200 has been previously completed
MAT3201 Operations Research 2<#† 1 1 1 1Pre-requisite: MAT1200 or MAT2200 or Students must be enrolled 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 2Pre-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
§Unavailable online in S3 2023
$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.
<The on-campus offering of this course is offered in odd—numbered years only.
#Recommended for students wanting to teach mathematics.
†Unavailable on-campus at Toowoomba in S1 2023

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Mathematics and Statistics specialisation recommended enrolment pattern - part-time S1 entry

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.


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

Semester 1

STA6200 Statistics for Quantitative Researchers**#$ 1 1 11,2Enrolment is not permitted in STA6200 if STA2300 or STA1003 or STA1004 has been previously completed
MAT1102 Algebra and Calculus I# 1 1 1 1

Semester 2

MAT2100 Algebra and Calculus II # 1 2 1 2Pre-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 6 and/or 8):

STA2301 Distribution Theory$ 2 1 2 1Pre-requisite: (STA2300 or STA1003 or equivalent) and (MAT1102 or ENM1600)
STA3300 Experimental Design $ 2 1 2 1Pre-requisite: STA2300 or STA1003 or equivalent or approval of examiner
STA6100 Multivariate Analysis for High-Dimensional Data# ^ 2 1 2 1Pre-requisite or Co-requisite: STA8170 or STA6200 or STA2300 or STA1003 Enrolment is not permitted in STA6100 if STA3200 has been previously completed
STA2302 Statistical Inference $ 2 2Pre-requisite: STA2301
STA3301 Statistical Models~$ 2 2 2 2Pre-requisite: STA3300 or approval of examiner or Students must have completed STA8170 or STA6200 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†2121Pre-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 2Pre-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 1Pre-requisite: ENM2600 or MAT2100 or MAT2500
MAT3103 Mathematical Modelling and Dynamical Systems # < 2 2 2 2Pre-requisite: MAT2100 or MAT2500 or ENM2600
MAT3201 Operations Research 2>#†2121Pre-requisite: MAT1200 or MAT2200 or Students must be enrolled in one of the following Programs: MSCN or GDSI
MAT3104 Mathematical Modelling in Financial Economics #> 2 2 2 2Pre-requisite: (STA2300 or STA1003 or equivalent) and (MAT2100 or MAT2500 or ENM2600)
MAC8901 Issues in Teaching Mathematics # % 2 2 2 2
SCI3302 Work-Integrated-Learning @ 23 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 STA6200.
#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.
~Unavailable Semester 2, 2023 Toowoomba On-campus
*This course is topic based. Students should select their topic from the course specification and email the examiner for approval prior to enrolment.
†Unavailable on-campus at Toowoomba in S1 2023
<The on-campus offering of this course is offered in even years only.
>The on-campus offering of this course is offered in odd—numbered years only.
%Recommended for teachers only. Teachers wishing to improve their content knowledge in statistics should also complete STA6100.
@This course is available subject to approval of the Program Director 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

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.


CourseYear of program and semester in which course is normally studiedEnrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem
PHY1101 Astronomy 1 *11 1 1
PHY1104 Physics 1 11 1 1Co-requisite: (MAT1102 or ENM2600) or Students must be enrolled in one of the following Programs: MSCN or GDSI or GCSC
SCI6103 Research Fundamentals and Ethics 1 1Pre-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 SCI6103 if SCI4405 has been previously completed.
SCI6102 Research Skills ^ 1 1,2
PHY1107 Astronomy 2*12 1 2
PHY1911 Physics 212 1 2Co-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†# 1 1
PHY8002 Planetary Science†# 1 1
PHY8003 Galactic Astronomy and Cosmology † # 1 2
PHY8004 Stellar Astronomy † # 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.
^SCI6102 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 UniSQ's Mt Kent Observatory.

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Physics and Astronomy Specialisation recommended enrolment pattern - part-time S1 or S2 entry

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.


CourseYear of program and semester in which course is normally studiedEnrolment requirements
On-campus
(ONC)
External
(EXT)
Online
(ONL)
YearSemYearSemYearSem
PHY1101 Astronomy 1*11 1 1
PHY1104 Physics 111 1 1Co-requisite: (MAT1102 or ENM2600) or Students must be enrolled in one of the following Programs: MSCN or GDSI or GCSC
PHY1107 Astronomy 2 *12 1 2
PHY1911 Physics 212 1 2Co-requisite: (MAT2100 or ENM1600) or Students must be enrolled in one of the following Programs: MSCN or GDSI or GCSC
SCI6103 Research Fundamentals and Ethics 2 1Pre-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 SCI6103 if SCI4405 has been previously completed.
SCI6102 Research Skills 2 2

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

PHY8001 Observational Astronomy † # 2 1
PHY8002 Planetary Science † # 2 1
PHY8003 Galactic Astronomy and Cosmology † # 2 2
PHY8004 Stellar Astronomy † # 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.
†Two unit course.
#Astronomical observations for each course are made remotely via internet access to UniSQ's Mt Kent Observatory.

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Sport and Exercise Specialisation recommended enrolment pattern - full-time S1 or S2 entry


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

Year 1/Semester 1

SES8005 Advanced Exercise Physiology* 1 1 1 1 M
SES8006 Advanced Exercise Programming and Rehabilitation*1111M

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*1111M
     SES8008 Advanced Anatomy and Physiology*1111M
One elective course from the list below or as approved by the Program Director1111

Year 1/Semester 2

SES8007 Advanced Exercise Assessment and Delivery*1212M
SES8001 Advanced Biomechanics*1212M

Two of the following coursework courses from the Sport and Exercise specialisation in the Master of Science (MSCN):

     SES2203 Physical Activity and Health1212
     SES1103 Nutrition and Exercise1212M
     PSY3250 Sport and Exercise Psychology12Pre-requisite: PSY1010 or Students must be enrolled in one of the following programs: GDSI or MSCN
     SES3206 Strength Training and Conditioning*1212MPre-requisite: SES2103 and SES2104

Approved electives:

     CSC5020 Foundations of Programming£11,2,311,2,3
     EDU8400 Mentoring and Coaching11,2
     EDU8606 Lifelong Career Development11
     HSW8220 Promoting Community Access and Inclusion##11
     MBA8000 Applied Business Research and Ethics#1111,2
     MGT8033 Leading Organisational Change11,211,2
     MGT8038 Leadership Development11,2
     PCM5000 Practical Editorial Skills11
     PUB5001 Introduction to Editing and Publishing11,3

Footnotes
*Only available in on-campus mode at Ipswich.
£In Semester 3, 2023 this course will be delivered as a Transition (9 week) semester, commencing on 13 November 2023 and concluding on 12 January 2024
##HSW8220 is not available ONL in S1 2023
#The Semester 2 online offering will not be available in 2023.