Mathematics and statistics

Why study Mathematics and statistics?

Our program caters for graduates wanting advanced training and for graduates of other disciplines who wish to update their skills or retrain in computer science, mathematics or statistics. Master's-level training is available in statistical modelling of physical, biological and economic phenomena. Data analysis using computer-related technology is emphasised.

See the Research tab for information about Master's by research, or PhD.

View the College of Science, Health and Engineering Handbook for detailed information on entry requirements, course structure, assessment and potential thesis topics.

As a La Trobe graduate you may be eligible for our 10% Alumni Advantage when you apply for a full-fee postgraduate coursework program.

Career opportunities

There is a worldwide shortage of qualified statisticians. Graduates are prepared for a range of careers that require quantitative skills. Mathematics and statistics play a crucial role in many areas of science including computer science and the life sciences.

Courses

Local students

NB: The ATARs published here are a guide, based on the most recent intake, and can change from year to year. These are Clearly-in ATARs, meaning applicants with scores equivalent to, or higher than the quoted ATAR, were made an offer.

2017 - apply now

Master of Data Science
Duration :
2 years full-time or part-time equivalent
Semester starts :
Semester 1 and 2 (March and July)
Campus:
Melbourne
Year
2017
About this course
The two-year Master of Data Science will prepare you for a contemporary and rewarding career interpreting and making use of messy data. Whether you're looking for a commercial career or you want to help solve society's most important challenges, this degree will give you a unique combination of technical skills and real-world application. It will enable you to traverse any industry, any issue, any geography. The course has been developed in partnership with industry and researchers, and is delivered by an academic team that is shaping practice in Victoria and internationally. You can choose to major in Bioinformatics, Big Data and Cloud Computing or Analytical Science. You can also choose elective studies in Business Analytics to extend your skills and experience.

Each major includes a set of core advanced subjects from computer science and mathematics/statistics disciplines and a number of specialised advanced subjects including big data high-performance programming, computational intelligence for analytics, cloud systems development, analysis of repeated measures data, meta-analysis, and bioinformatics technologies.
Prerequisite
Australian Bachelor degree (or equivalent) in computer science, information technology, computer engineering, or science with a major in mathematics or statistics.
NB: Meeting minimum prerequisites does not guarantee an offer of a place. Entry into all La Trobe courses is based on competitive selection and there may be limited places available.
Fee amount
$27,250 per 120 credit points.
Additional information
This course requires prior knowledge in cognate areas of either Computer Science, IT, and/or Mathematics and Statistics. The course starts with a semester of core fundamental subjects designed to address knowledge gaps in the required cognate skills. E.g. students who have completed a Computer Science degree will need to choose fundamental subjects in Statistics and vice versa.
How to apply
Apply now to start in Semester 2, 2017.

To find out more about this course and studying at La Trobe:
- ask us a question
- book a one-on-one consultation
- chat online
- visit our FAQ page
- connect with us on Facebook, Twitter or Instagram
- call us on 1300 135 045.

Do you have an excellent academic record? If you're a full-fee paying student, you may be eligible for a La Trobe College Excellence Scholarship and receive up to a 25% reduction on your postgraduate course fees.
See Student Handbook for more details
The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options.

The delivery of this course can vary between campuses. For detailed information please select the relevant campus:

2018

Master of Data Science
Duration :
2 years full-time or part-time equivalent
Semester starts :
Semester 1 and 2 (March and July)
Campus:
Melbourne
Year
2018
About this course
The two-year Master of Data Science will prepare you for a contemporary and rewarding career interpreting and making use of messy data. Whether you're looking for a commercial career or you want to help solve society's most important challenges, this degree will give you a unique combination of technical skills and real-world application. It will enable you to traverse any industry, any issue, any geography. The course has been developed in partnership with industry and researchers, and is delivered by an academic team that is shaping practice in Victoria and internationally. You can choose to major in Bioinformatics, Big Data and Cloud Computing or Analytical Science. You can also choose electives studies in Business Analytics to extend your skills and experience.

Each major includes a set of core advanced subjects from computer science and mathematics/statistics disciplines and a number of specialised advanced subjects including big data high-performance programming, computational intelligence for analytics, cloud systems development, analysis of repeated measures data, meta-analysis, and bioinformatics technologies.
Prerequisite
Australian Bachelor degree (or equivalent) in computer science, information technology, computer engineering, or science with a major in mathematics or statistics.
NB: Meeting minimum prerequisites does not guarantee an offer of a place. Entry into all La Trobe courses is based on competitive selection and there may be limited places available.
Fee amount
$27,250 per 120 credit points.
Additional information
This course requires prior knowledge in cognate areas of either Computer Science, IT, and/or Mathematics and Statistics. The course starts with a semester of core fundamental subjects designed to address knowledge gaps in the required cognate skills. E.g. students who have completed a Computer Science degree will need to choose fundamental subjects in Statistics and vice versa.
How to apply
Applications for 2018 will open later this year.

Do you have an excellent academic record? If you're a full-fee paying student, you may be eligible for a La Trobe College Excellence Scholarship and receive up to a 25% reduction on your postgraduate course fees.
See Student Handbook for more details
The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options.

The delivery of this course can vary between campuses. For detailed information please select the relevant campus:
Master of Statistical Science
Duration :
2 years full-time or up to 4 years part-time
Semester starts :
Semester 1 and 2 (March and July)
Campus:
Melbourne
Year
2018
About this course
We have a reputation as one of Australia's most progressive teaching departments in the mathematical and statistical sciences.

This course gives you the opportunity to further your understanding of the statistical modelling of physical, biological and economic phenomena, so you can contribute to applied research and development in industry, commerce and research.

It places particular emphasis on data analysis using computer-related technology and to the fundamental theory of applied statistics methodology. You can select studies from a wide range of components, and you will have the opportunity to complete a minor thesis in your second year.

As part of this course, you may complete subjects offered through the Key Centre of Statistical Science (KCSS), which comprises of La Trobe University, Monash University and RMIT. Additionally, you can also complete appropriate subjects offered nationally through the Access Grid Room Network.
Prerequisite
Australian Bachelor's degree, or an international equivalent, including a sufficiently good pass in third-year statistics or its equivalent. Applicants with an Honours degree in statistics or equivalent may be accepted into the second year of the Masters course.
Fee amount
$20,880 per 120 credit points.


How to apply
Applications for 2018 will open later this year.

To find out more about this course and studying at La Trobe:
- ask us a question
- book a one-on-one consultation
- chat online
- visit our FAQ page
- connect with us on Facebook, Twitter or Instagram
- call us on 1300 135 045.
See Student Handbook for more details
The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options.

The delivery of this course can vary between campuses. For detailed information please select the relevant campus:

How to apply?

Methods of application vary from course to course. Please see the course entry above for details of how to apply for the course you are interested in.

Fees and scholarships

Some postgraduate courses are fee-paying which means that you pay the full cost of the course (FEE-HELP is available). Others offer Commonwealth Supported Places (CSP) – where the Commonwealth Government subsidises the cost of your course and you pay a contribution (HECS-HELP is available).

Students enrolled for certain postgraduate coursework programs may be eligible for student income support.

International students

2017 - apply now

Master of Data Science (092396B)

Duration :
2 years full-time
Semester starts :
Semester 1 and 2 (March and July)
Annual Tuition Fee (A$) :
31 000
Campus
Melbourne
Year
2017
About this course
The two-year Master of Data Science will prepare you for a contemporary and rewarding career interpreting and making use of messy data. Whether you're looking for a commercial career or you want to help solve society's most important challenges, this degree will give you a unique combination of technical skills and real-world application. It will enable you to traverse any industry, any issue, any geography. The course has been developed in partnership with industry and researchers, and is delivered by an academic team that is shaping practice in Victoria and internationally. You can choose to major in Bioinformatics, Big Data and Cloud Computing or Analytical Science. You can also choose elective studies in Business Analytics to extend your skills and experience.

Each major includes a set of core advanced subjects from computer science and mathematics/statistics disciplines and a number of specialised advanced subjects including big data high-performance programming, computational intelligence for analytics, cloud systems development, analysis of repeated measures data, meta-analysis, and bioinformatics technologies.
English Language Requirements
UG and PG (including HDR) Option 1: Academic 6.5, no band less than 6.0
Academic entry requirements
Students must have completed a degree equivalent to a degree from an Australian university in computer science, information technology, computer engineering, or science with a major in mathematics or statistics.
NB: Meeting minimum entry requirements does not guarantee an offer of a place. Entry into all La Trobe courses is based on competitive selection and there may be limited places available.
How to apply
Apply now or ask us a question if you need more help. You can also call us on +61 3 9627 4805.

Do you have an excellent academic record? If you're a full-fee paying student, you may be eligible for a La Trobe College Excellence Scholarship and receive up to a 25% reduction on your postgraduate course fees.
See Student Handbook for more details
The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options.

The delivery of this course can vary between campuses. For detailed information please select the relevant campus:

2018

Master of Data Science (092396B)

Duration :
2 years full-time
Semester starts :
Semester 1 and 2 (March and July)
Annual Tuition Fee (A$) :
TBC (2017 indicative fee $31 000)
Campus
Melbourne
Year
2018
About this course
The two-year Master of Data Science will prepare you for a contemporary and rewarding career interpreting and making use of messy data. Whether you're looking for a commercial career or you want to help solve society's most important challenges, this degree will give you a unique combination of technical skills and real-world application. It will enable you to traverse any industry, any issue, any geography. The course has been developed in partnership with industry and researchers, and is delivered by an academic team that is shaping practice in Victoria and internationally. You can choose to major in Bioinformatics, Big Data and Cloud Computing or Analytical Science. You can also choose electives studies in Business Analytics to extend your skills and experience.

Each major includes a set of core advanced subjects from computer science and mathematics/statistics disciplines and a number of specialised advanced subjects including big data high-performance programming, computational intelligence for analytics, cloud systems development, analysis of repeated measures data, meta-analysis, and bioinformatics technologies.
English Language Requirements
UG and PG (including HDR) Option 1: Academic 6.5, no band less than 6.0
Academic entry requirements
Students must have completed a degree equivalent to a degree from an Australian university in computer science, information technology, computer engineering, or science with a major in mathematics or statistics.
NB: Meeting minimum entry requirements does not guarantee an offer of a place. Entry into all La Trobe courses is based on competitive selection and there may be limited places available.
How to apply
Applications for 2018 will open later this year. You can ask us a question if you need more help. You can also call us on +61 3 9627 4805.

Do you have an excellent academic record? If you're a full-fee paying student, you may be eligible for a La Trobe College Excellence Scholarship and receive up to a 25% reduction on your postgraduate course fees.
See Student Handbook for more details
The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options.

The delivery of this course can vary between campuses. For detailed information please select the relevant campus:

Master of Statistical Science (013468A)

Duration :
2 years
Semester starts :
Semester 1 and 2 (March and July)
Annual Tuition Fee (A$) :
TBC (2017 indicative fee $26 840)
Campus
Melbourne
Year
2018
About this course
We have a reputation as one of Australia's most progressive teaching departments in the mathematical and statistical sciences.

This course gives you the opportunity to further your understanding of the statistical modelling of physical, biological and economic phenomena, so you can contribute to applied research and development in industry, commerce and research.

It places particular emphasis on data analysis using computer-related technology and to the fundamental theory of applied statistics methodology. You can select studies from a wide range of components, and you will have the opportunity to complete a minor thesis in your second year.

As part of this course, you may complete subjects offered through the Key Centre of Statistical Science (KCSS), which comprises of La Trobe University, Monash University and RMIT. Additionally, you can also complete appropriate subjects offered nationally through the Access Grid Room Network.
English Language Requirements
IELTS (Academic): minimum score of 6.5 with no individual band score less than 6.0.

TOEFL Paper-based Test: minimum score of 575 (minimum score of 5 in the Test of Written English).

TOEFL Internet-based Test: minimum score of 80 with minimum overall for SLR 18; W 22.

English as the language of instruction in tertiary studies may be accepted.
Please note: English as the language of instruction in previous study will not be accepted as a basis of admission (English)
for courses where the approved test score requirement is above an IELTS 6.5 with no band score lower than 6.0.

Pearson Test of English (Academic) (PTE): minimum score of 64 with no communicative skill score less than 59.

Cambridge Certificate of Advanced English (CAE): a grade of B or higher.

Cambridge Certificate of Proficiency in English (CPE): a grade of C or higher.

Or approved international equivalent.
Academic entry requirements
An Australian Bachelor's degree with a major in statistics, or approved international equivalent. If you have an Honours degree, you may be accepted into the second year of the course.
How to apply
Applications for 2018 will open later this year. You can ask us a question if you need more help. You can also call us on +61 3 9627 4805.
See Student Handbook for more details
The Handbook contains detailed course information designed for enrolled students, including course structures, electives and options.

The delivery of this course can vary between campuses. For detailed information please select the relevant campus:

How to apply?

Enquire now about any course for international students or find out how to apply.

Fees and scholarships

Estimated fees for international students are indicated for each course above. Fees are indicative only and set at 120 credit points per course, unless otherwise stated, and may vary depending on the number of credit points in which students enrol. Some courses may vary in credit point load and fees will be adjusted accordingly.

There is also a range of scholarships available for international students to assist students.

Contact

For further information on the Master of Statistical Science contact:

Dr Andriy Olenko
Phone +61 3 9479 2609
Email
a.olenko@latrobe.edu.au

For further information on the Postgraduate Diploma in Science, in mathematics or statistics, see the Honours page.

Related study options

Your study experience

AMSI Summer School

The Australian Mathematical Sciences Institute (AMSI) Summer School gives you a chance to build your skills and network with other research students while extending your knowledge in mathematics and statistics.

Overseas study opportunities

As a La Trobe student, you can broaden your horizons by studying overseas with one of our global exchange partners. We have partnerships with more than 100 universities in over 30 countries throughout Asia, Europe and North and South America.

About the academic staff

You'll get to meet a large number of academic staff during your studies, from tutors through to lecturers and supervisors. View staff in Mathematics and statistics.

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