Master of Science (MSCN)

Print version

Master of Science (MSCN) - MSc

CRICOS code (International applicants): 078596M

	On-campus��*†	Distance education��†
Semester intake:	Semester 1 (February) Semester 2 (July)	Semester 1 (February) Semester 2 (July)
Campus:	Toowoomba	-
Fees:	Commonwealth supported place Domestic full fee paying place International full fee paying place	Commonwealth supported place Domestic full fee paying place International full fee paying place
Standard duration:	2 years full-time, 4 years part-time

Footnotes
^	The Applied Data Science major will commence in Semester 2 2015.
*	The Environment and Sustainability and Astronomy majors are available to distance education students only. Therefore, these majors are not suitable for international students who wish to study on-campus.
†	Semester 2 intake for the Mathematics/Statistics major will be subject to the approval of the Program Coordinator.

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.at

Program aims

The aim of the Master of Science program is to produce graduates that are equipped with essential scientific knowledge and an appreciation of the latest literature and technologies.

Applied Data Science major

With the popularity of social media and the wide spread use of the Internet, enormous amount of data of various type are generated at all times. The scattered data are waiting for us to collect and make use of them.

This major is designed to provide an opportunity for graduates from all disciplines to gain advanced 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 or an opportunity for advancement in their career.

Astronomy major

This major is designed to provide an opportunity to gain knowledge and skills in astronomy and develop scientific research skills. The program thus provides professional development in science for those in educational or science communication careers, and a specialist foundation of knowledge and skills for subsequent higher degree research.

Environment and Sustainability major

Modern environment and natural resource management requires the integration of social, environmental and economic research within an interdisciplinary planning and policy framework. It also requires a capacity to handle complexity and uncertainty and the application of different methods of analysis and different approaches to governance and community engagement. This coursework Masters program addresses these needs by providing important core studies and flexibility in choice of elective studies that will enhance their skills and knowledge in the broad discipline of environment and sustainability. Adaptation to climate change and sustainability science are emphasised in global and regional contexts in this major.

Mathematics and Statistics major

This major is designed to provide an opportunity for graduates from other than mathematics and statistics programs to gain advanced skills and knowledge in key areas of mathematics and/or statistics which relate to their career needs and the needs of their profession or industry. The aim of this program is therefore to provide students with a broad advanced education in mathematical and/or statistical techniques and essential problem solving skills which will meet their career needs and assist them in their professional development.

Program objectives

On completion of the program graduates will be able to:

demonstrate an advanced understanding in their chosen major
conduct scholarly investigations into applications and methodologies in their chosen field
provide scientific literature reports
apply the specialist knowledge and skills acquired in their major

Major Objectives

Applied Data Science major

On completion of this major students will be able to:

demonstrate advanced and integrated understanding of data science to a complex body of knowledge in a particular discipline of application
research and apply established theories of data science to a particular discipline of application
analyse critically and reflect on ethics and professionalism for data science

Astronomy major

On completion of this major students will be able to:

demonstrate a general professional understanding of the science of astronomy
conduct scholarly enquiries into the research literature in astronomy and astrophysics
apply scientific principles to solve problems with conceptual, observational or computational elements
demonstrate competency in observational techniques, data analysis, and the interpretation of results
demonstrate oral and written communication skills appropriate to a professional scientist
communicate scientific research to a professional audience

Environment and Sustainability major

On completion of this major students will be able to:

understand and apply the principles and approaches of sustainability
integrate the scientific foundations for sustainable development through environmental, social and economic disciplines
demonstrate an in-depth understanding of global environmental changes
describe the functioning of the global climate system
understand global environmental systems and assess the risks of climatic changes and climate variability and their influence on sustainable practices
critically analyse multi-disciplinary information and data to provide informed decision-making in relation to resource management and climate adaptation
evaluate opportunities that may arise from environmental and climate changes
express and communicate scientific knowledge and concepts across a range of professions
critically assess emerging approaches to policy development and institutional arrangements to support sustainability
identify and establish strong links between science, effective community engagement and sound policy
demonstrate, through the breadth of their studies, an advanced understanding of issues, concepts and applications of sustainability in environment and natural resource management

Mathematics and Statistics major

On completion of this major students will be able to:

be able to demonstrate at least a sound knowledge of some important theories and techniques of applied mathematics and/or statistics
be able to use a wide range of mathematical and/or statistical techniques to formulate and solve problems from science and technology
be able to work with probabilistic, dynamical, algebraic, geometric, and simulation scenarios
be able to extend and apply mathematical or statistical tools in application to scientific and technical research and development
be able to use a range of appropriate computer packages to solve problems in statistics and/or mathematics
have become better problem-solvers and innovative thinkers, who are able to learn new skills independently and efficiently and consequently to succeed in a competitive professional environment
be able to demonstrate good communication skills in the learning areas
satisfy academic requirements for membership of relevant professional bodies

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 09. Graduates at this level will have specialised knowledge and skills for research, and/or professional practice and/or further learning.

The full set of levels criteria and qualification type descriptors can be found by visiting .

Admission requirements

Master of Science (Applied Data Science)

To be considered for entry, applicants should:

hold a three-year Bachelor's degree in any discipline from an Australian ��ýapp or equivalent
have acquired introductory knowledge and ethics of Computing, consistent with that found in:
1. ; and

Particular choices of courses within this program may require additional pre-requisite or assumed knowledge.

Master of Science (Astronomy)

To be considered for entry, applicants must hold a three-year Bachelor's degree from an Australian ��ýapp or equivalent.

A formal process of Accreditation of Prior Learning (APL) will be used to assess applicants who wish to gain entry to the program on the basis of equivalent experience or qualifications. Applicants should contact the Faculty of Health, Engineering and Sciences if they wish to be assessed for admission on this basis.

Master of Science (Environment and Sustainability)

To be considered for entry, applicants should hold a three-year Bachelor's degree from an Australian ��ýapp or equivalent.

A formal process of Accreditation of Prior Learning (APL) will be used to assess applicants without Bachelor degrees, who wish to gain entry to the program on the basis of equivalent experience or qualifications. Applicants should contact the Faculty of Health, Engineering and Sciences if they wish to be assessed for admission on this basis. Students who are enrolled or hold a Graduate Diploma of Science or a Graduate Certificate of Science or equivalents in the environmental science, climatology or related areas from a recognised university may apply for credit.

Master of Science (Mathematics and Statistics)

Applicants may be admitted to the MSCN (Mathematics/Statistics) major if they:

hold a Bachelor's degree from an Australian university or hold a degree of a recognised university or an approved equivalent qualification in any discipline; and

have knowledge of mathematics at least equivalent to that found in and have appropriate communication skills equivalent to those covered in .

Students who are enrolled or hold a Graduate Diploma of Mathematics/Statistics or Science or a Graduate Certificate of Science in the Mathematics/Statistics area from a recognised university may apply for credit.

Particular choices of courses within this program may require additional pre-requisite or assumed knowledge. For example, some courses have a pre-requisite of basic computer programming skills equivalent to course and others may require introductory knowledge of optimisation skills, such as those addressed in course, basic knowledge of Algebra and Calculus I at the level of or course, and statistics skills equivalent to STA2300 Data Analysis course.

Domestic and International Applicants from a non-English speaking background are required to satisfy .

If you do not meet the English language requirements you may apply to study a ��ýapp-approved . On successful completion of the English language program, Applicants may be admitted to an Award Program.

Program fees

Commonwealth supported place

A Commonwealth supported place is where the Australian Government makes a contribution towards the cost of your higher education and you as a student pay a , which varies depending on the courses undertaken. You are able to calculate the fees for a particular course via the .
Commonwealth Supported students may be eligible to defer their fees through a Government loan called .

Domestic full fee paying place

Domestic full fee paying places are funded entirely through the full fees paid by the student. Full fees vary depending on the courses that are taken. You are able to calculate the fees for a particular course via the
Domestic full fee paying students may be eligible to defer their fees through a Government loan called provided they meet the residency and citizenship requirements.
Australian citizens, Permanent Humanitarian Visa holders, Permanent Resident visa holders and New Zealand citizens who will be resident outside Australia for the duration of their program pay full tuition fees and are not eligible for .

International full fee paying place

International students pay full fees. Full fees vary depending on the courses that are taken and whether they are studied on-campus, via distance education/online. You are able to calculate the fees for a particular course via the .

Program structure

The Master of Science (Astronomy), Master of Science (Environment and Sustainability) and Master of Science (Applied Data Science) majors consists of 16 units of courses, consisting of those courses listed below in the Recommended Enrolment Pattern section.

The Master of Science (Mathematics and Statistics) major consists of sixteen courses which are all available in external mode. Students may choose at most three electives and must complete at least eight units at Level 8 (including electives) as in the Program Structure below including and . At the beginning of their candidature students should submit a proposed enrolment pattern to the Program Coordinator for approval. Within this proposal students should have topics and names of any proposed supervisors for the appropriate Level 8 courses.

Applied Data Science Major

This major consists of 16 courses which are all available in external mode.

Core courses

Semester 1	Semester 2	Either Semester
		, or MSC8003 Industry Based Research Practice I
		, or MSC8004 Industry Based Research Practice II
STA8005 Multivariate Analysis for High-Dimensional Data	CSC8003 Machine Learning
CSC8004 Data Mining

Footnotes
*	2 unit course

Four program elective units from one of the disciplines below, with no more than three courses at undergraduate level. More program elective courses from other disciplines may be available after consultation with the Program Coordinator via usq.support@usq.edu.au .

Semester 1	Semester 2	Semester 3
Agriculture Discipline Electives
⇒&�Բ��;	⇒&�Բ��;
CLI8001 Climate Risk^⇒&�Բ��;	AGR8003 Critical Issues in Agriculture^⇒&�Բ��;
Astronomy Discipline Electives
Compulsory course:
*⇒&�Բ��;
Any one from the following:
*⇒&�Բ��;	*⇒&�Բ��;
	*⇒&�Բ��;
Business Discipline Electives
	MKT8004 Digital Business Management

Computing Discipline Electives
**	**
**	**
**	**
**	**
**	**
**	**
**	**
**	**
**	**
	**
	**
Information Systems Discipline Electives








	CIS8501 Applied Information Systems Research Project
Mathematics Discipline Electives
**	**
**	**
**	**
Statistics Discipline Electives
**	**
**	**
**	**
General Discipline Electives: Any four units from one single discipline or from multiple disciplines, with no more than three courses at undergraduate level, subject to the approval of the Program Coordinator.

Footnotes
⇒	External offer only
^	First offer in 2016
*	2 unit course
**	Enrolment to the course is subjected to having the correct prerequisites or equivalent.

Astronomy Major

This major consists of the following courses:

Semester 1	Semester 2

Elective^	Elective^
*	*
*	*
*	*

Footnotes
^	These electives are for students to take complementary studies in physics, mathematics, statistics or computing. The selection of the elective is to be done in consultation with, and to be approved by the Faculty of Health, Engineering and Sciences.
*	2 unit course

Environment and Sustainability Major

This major consists of the following 14 core courses which are all available in external mode.

Semester 1	Semester 2




*	BIO8412 Biotechnology in Sustainable Systems#



	*

Footnotes
*	2 unit course
#	This course will be offered in 2016

Mathematics and Statistics major

Semester 1	Semester 2	Either Semester
Pre-requisite: or (not available if already successfully completed)	Pre-requisite: or (not available if already successfully completed)	†^*
Pre-requisite: and ( or )
Pre-requisite: and ( or )	Pre-requisite	†^* Pre-requisite
Pre-requisite: or	Pre-requisite or	^^
Pre-requisite:	Pre-requisite: ( or ) and
Pre-requisite: or approval of examiner	Pre-requisite: or approval of examiner
†^&�Բ��;	†^&�Բ��;
^	^
†^&�Բ��;	†^&�Բ��;
Recommended electives
	^^
(in context of mathematics or statistics education)

Footnotes
†	Students should contact the examiner if there is any problem enrolling in level 8 courses.
^	For this course students require a supervisor and approval of the program coordinator (as detailed in the course specifications). You may need to contact the examiner of the course for a list of supervisors matching your topic.
*	2 unit course
^^	Available in S1, S2 and S3

Required time limits

Students have a minimum of 2 years and a maximum of 8 years to complete.

IT requirements

Students should visit the USQ to check that their computers are capable of running the appropriate software and versions of Internet web browsers and to check the minimum and recommended standards for software.

Other program requirements

To qualify for the award of Master of Science (Environment and Sustainability) students must pass 16 units of courses, at least eight of which are to be Level 8 courses listed in the Recommended Enrolment Pattern section. Students who have completed the same courses or similar courses at USQ or elsewhere may replace these with additional electives with the approval of the Faculty of Health, Engineering and Sciences.

In order to complete the Mathematics and Statistics major students must pass 16 units of courses, at least eight of which are to be at Level 8 courses listed in the Recommended Enrolment Pattern section including and . A maximum of 3 elective courses of Level 3 or above may be taken from courses not appearing in the Recommended Enrolment Pattern section with the approval of the Faculty of Health, Engineering and Sciences. The maximum number of courses other than Mathematics/Statistics courses to be credited must not exceed the number of elective courses (3).

Exit points

Students in the Astronomy or Environment and Sustainability majors may exit with the Graduate Certificate of Science on successful completion of four units of study.

Students exiting the Master of Science (Mathematics and Statistics) major after passing at least four courses may be awarded, upon application, the Graduate Certificate of Science provided that at least three of the courses passed are listed in the Recommended Enrolment Pattern section and approved by the Faculty of Health, Engineering and Sciences.

Students exiting the Master of Science (Mathematics and Statistics) major after passing at least eight courses may be awarded, upon application, the Graduate Diploma of Science, provided that at least seven of the courses passed are listed in the Recommended Enrolment Pattern section; and the other is from a related area and has been studied with the prior approval of the Faculty of Health, Engineering and Sciences as contributing to the Masters program.

Students in the Applied Data Science major may exit with the Graduate Certificate of Science (Applied Data Science) on successful completion of at least four units of study and satisfied the requirements of Graduate Certificate of Science (Applied Data Science) OR Graduate Diploma of Science (Applied Data Science) on successful completion of at least eight units of study and satisfied the requirements of Graduate Diploma of Science (Applied Data Science).

Students wishing to exit as above must discuss the procedures with the Faculty of Health, Engineering and Sciences.

Credit

Exemptions/credit will be assessed based on the .

Astronomy major: Students who have a bachelor's degree in physical sciences may apply for up to 4 units of credit.

Environment and Sustainability major: exemptions may be granted for a maximum of eight units on the basis of successful completion of relevant and equivalent graduate study from a recognised institution. Students with a Level 8 (Graduate Diploma or Honours Degree) qualification in the environmental sciences or related discipline may qualify for up to eight units of exemptions; students with a Level 7 (Bachelor degree) qualification in the environmental sciences or related discipline or a Level 8 qualification in a different discipline may qualify for up to four units of exemption.

Applied Data Science major: exemption of four units may be granted if student completed the Graduate Certificate of Science (Applied Data Science) offered by the ��ýapp of Southern Queensland. Exemptions of eight units may be granted if student completed the Graduate Diploma of Science (Applied Data Science) offered by the ��ýapp of Southern Queensland. Student who has completed in their Bachelor Degree may replace with another STA course at level 2 or above.

Elective courses: for the Mathematics and Statistics major a maximum of 3 elective courses at Level 3 or above can be taken from other discipline areas with the prior approval of the Faculty of Health, Engineering and Sciences.

Enrolment

In this section:

Recommended Enrolment Pattern - Applied Data Science Major Full-time (4 Semesters, S1 commencement)
Recommended Enrolment Pattern - Applied Data Science Major Part-time (8 Semesters, S1 commencement)
Recommended Enrolment Pattern - Applied Data Science Major Full-time (4 Semesters, S2 commencement)
Recommended Enrolment Pattern - Applied Data Science Major Part-time (8 Semesters, S2 commencement)
Recommended Enrolment Pattern - Astronomy Major Full-time (4 Semesters, S1 or S2 commencement)
Recommended Enrolment Pattern - Astronomy Major Part-time (8 Semesters, S1 or S2 commencement)
Recommended Enrolment Pattern - Environment and Sustainability Major Full-time (4 Semesters, S1 or S2 commencement
Recommended Enrolment Pattern - Environment and Sustainability Major Part-time (8 Semesters, S1 or S2 commencement)
Recommended Enrolment Pattern - Mathematics and Statistics major

Recommended Enrolment Pattern - Applied Data Science Major Full-time (4 Semesters, S1 commencement)

Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.

Course	Year of program and semester in which course is normally studied						Enrolment requirements
	On-campus (ONC)		Distance education (EXT)		Online (ONL)
	Year	Sem	Year	Sem	Year	Sem
Year 1
	1	1			1	1
	1	1			1	1	Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN
	1	1,2	1	1,2,3
Program Elective course	1	1			1	1
	1	2			1	2
	1	2			1	2	Pre-requisite or Co-requisite: and
CSC8003 Machine Learning	1	2			1	2
Program Elective course	1	2			1	2
Year 2
Either one of the following
*	2	1			2	1	Pre-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
MSC8003 Industry Based Research Practice I*	2	1			2	1
STA8005 Multivariate Analysis for High-Dimensional Data	2	1			2	1
CSC8004 Data Mining	2	1			2	1
Either one of the following
*	2	2			2	2	Pre-requisite:
MSC8004 Industry Based Research Practice II*	2	2			2	2
Program Elective course	2	2			2	2
Program Elective course	2	2			2	2

Footnotes
*	Two unit course

Recommended Enrolment Pattern - Applied Data Science Major Part-time (8 Semesters, S1 commencement)

Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.

Course	Year of program and semester in which course is normally studied						Enrolment requirements
	On-campus (ONC)		Distance education (EXT)		Online (ONL)
	Year	Sem	Year	Sem	Year	Sem
Year 1
	1	1			1	1
	1	1,2	1	1,2,3
	1	2			1	2
	1	2			1	2	Pre-requisite or Co-requisite: and
Year 2
	2	1			2	1	Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN
Program Elective course	2	1			2	1
CSC8003 Machine Learning	2	2			2	2
Program Elective course	2	2			2	2
Year 3
STA8005 Multivariate Analysis for High-Dimensional Data	3	1			3	1
CSC8004 Data Mining	3	1			3	1
Program Elective course	3	2			3	2
Program Elective course	3	2			3	2
Year 4
Either one of the following
*	4	1			4	1	Pre-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
MSC8003 Industry Based Research Practice I*	4	1			4	1
Either one of the following
*	4	2			4	2	Pre-requisite:
MSC8004 Industry Based Research Practice II*	4	2			4	2

Footnotes
*	Two unit course

Recommended Enrolment Pattern - Applied Data Science Major Full-time (4 Semesters, S2 commencement)

Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.

Course	Year of program and semester in which course is normally studied						Enrolment requirements
	On-campus (ONC)		Distance education (EXT)		Online (ONL)
	Year	Sem	Year	Sem	Year	Sem
Year 1, Semester 2
	1	2			1	2
	1	2			1	2	Pre-requisite or Co-requisite: and
	1	2	1	2,3
Program Elective course	1	2			1	2
Year 2, Semester 1
STA8005 Multivariate Analysis for High-Dimensional Data	2	1			2	1
CSC8004 Data Mining	2	1			2	1
	2	1			2	1	Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN
	2	1			2	1
Year 2, Semester 2
Either one of the following
*	2	2			2	2	Pre-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
MSC8003 Industry Based Research Practice I*	2	2			2	2
CSC8003 Machine Learning	2	2			2	2
Program Elective course	2	2			2	2
Year 3, Semester 1
Either one of the following
*	3	1			3	1	Pre-requisite:
MSC8004 Industry Based Research Practice II*	3	1			3	1
Program Elective course	3	1			3	1
Program Elective course	3	1			3	1

Footnotes
*	Two unit course

Recommended Enrolment Pattern - Applied Data Science Major Part-time (8 Semesters, S2 commencement)

Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.

Course	Year of program and semester in which course is normally studied						Enrolment requirements
	On-campus (ONC)		Distance education (EXT)		Online (ONL)
	Year	Sem	Year	Sem	Year	Sem
Year 1, Semester 2
	1	2	1	2,3
	1	2			1	2
Year 2, Semester 1
	2	1			2	1	Pre-requisite: Students must be enrolled in one of the following Programs: GDTI or GCSC or MCTN
STA8005 Multivariate Analysis for High-Dimensional Data	2	1			2	1
Year 2, Semester 2
	2	2			2	2	Pre-requisite or Co-requisite: and
CSC8003 Machine Learning	2	2			2	2
Year 3, Semester 1
	3	1			3	1
CSC8004 Data Mining	3	1			3	1
Year 3, Semester 2
Program Elective course	3	2			3	2
Program Elective course	3	2			3	2
Year 4, Semester 1
Program Elective course	4	1			4	1
Program Elective course	4	1			4	1
Year 4, Semester 2
Either one of the following
*	4	2			4	2	Pre-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
MSC8003 Industry Based Research Practice I*	4	2			4	2
Year 5, Semester 1
Either one of the following
*	5	1			5	1	Pre-requisite:
MSC8004 Industry Based Research Practice II*	5	1			5	1

Footnotes
*	Two unit course

Recommended Enrolment Pattern - Astronomy Major Full-time (4 Semesters, S1 or S2 commencement)

Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.

Course	Year of program and semester in which course is normally studied						Enrolment requirements
	On-campus (ONC)		Distance education (EXT)		Online (ONL)
	Year	Sem	Year	Sem	Year	Sem
			1	1
Elective^	1	1,2,3	1	1,2,3
*			1	1
			1	2
Elective^	1	1,2,3	1	1,2,3
*			1	2
*			2	1
*	2	1	2	1			Pre-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
*			2	2
*	2	2	2	2			Pre-requisite:

Footnotes
^	This elective is for students to take complementary studies in physics, mathematics, statistics or computing. Choice of the elective should be done in consultation with, and be approved by the Faculty of Health, Engineering and Sciences.
*	Two unit courses

Recommended Enrolment Pattern - Astronomy Major Part-time (8 Semesters, S1 or S2 commencement)

Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.

Course	Year of program and semester in which course is normally studied						Enrolment requirements
	On-campus (ONC)		Distance education (EXT)		Online (ONL)
	Year	Sem	Year	Sem	Year	Sem
			1	1
Elective^	1	1,2,3	1	1,2,3
			1	2
Elective^	1	1,2,3	1	1,2,3
*			2	1
*			2	2
*			3	1
*			3	2
*	4	1	4	1			Pre-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
*	4	2	4	2			Pre-requisite:

Footnotes
^	This elective is for students to take complementary studies in physics, mathematics, statistics or computing. Choice of the elective should be done in consultation with, and be approved by the Faculty of Health, Engineering and Sciences.
*	Two unit courses

Recommended Enrolment Pattern - Environment and Sustainability Major Full-time (4 Semesters, S1 or S2 commencement

Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.

Course	Year of program and semester in which course is normally studied						Enrolment requirements
	On-campus (ONC)		Distance education (EXT)		Online (ONL)
	Year	Sem	Year	Sem	Year	Sem
			1	1
			1	1
*			1	1			Pre-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
			1	2
			1	2
			1	2	1	2
	1	2	1	2
	2	1	2	1
			2	1
*			2	1			Pre-requisite:
BIO8412 Biotechnology in Sustainable Systems#			2	2
	2	2	2	2
	2	2	2	2
			2	2			Pre-requisite:

Footnotes
*	Two unit course
#	This course will be offered in 2016

Recommended Enrolment Pattern - Environment and Sustainability Major Part-time (8 Semesters, S1 or S2 commencement)

Students are able to enrol in any offered mode of a course (on-campus, external or online), regardless of the program mode of study they enrolled in.

Course	Year of program and semester in which course is normally studied						Enrolment requirements
	On-campus (ONC)		Distance education (EXT)		Online (ONL)
	Year	Sem	Year	Sem	Year	Sem
			1	1
			1	1
			1	2
			1	2	1	2
	2	1	2	1
			2	1
	2	2	2	2
BIO8412 Biotechnology in Sustainable Systems#			2	2
*			3	1			Pre-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
	3	2	3	2
	3	2	3	2
*			4	1			Pre-requisite:
			4	2
			4	2			Pre-requisite:

Footnotes
#	This course will be offered in 2016
*	Two unit course

Recommended Enrolment Pattern - Mathematics and Statistics major

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.

There is no recommended enrolment for this major. Students are required to complete courses as indicated in the Program Structure. Students may choose at most three electives and must complete at least eight units at Level 8 (including electives) including and as in the Program Structure. Students are required to submit a proposed enrolment pattern to the Program Coordinator for approval.

������ýapp