Master of Analytics
Student type:
Quick facts
-
Entry score
Not applicable
-
Duration
Full-time 2 years, Part-time 4 years -
Location
Melbourne city -
Fees
AU$24,960 (2019 annual)
Next intake
February, July Entry score
IELTS 6.5
Duration
Full-time 2 years Location
Melbourne city Fees
AU$31,680 (2019 annual)
Next intake
February, July
Overview
Your career as a data analyst
With data-driven decisions now a fundamental part of business operations, this program provides you with the platform to be a business-ready problem solver.
What you will study
Study with depth and flexibility. The Master of Analytics prepares you for statistical analysis in the business world. With a diverse range of electives there is a focus on work-integrated learning.
Details
Analytics is the science and art of analysing data to make better informed decisions.
It builds on the tradition of statistics and operations research, bringing together tools and expertise from computer science, engineering and business.
This blend of disciplines makes analytics unique in its capacity to solve critical real world problems. You will learn how to use data to make informed decisions that make significant contributions to the success of organisations, which provides a rewarding and valued career path.
The program allows you to choose from a diverse range of electives combined with a strong core of statistics and operations research.
With seven core courses and nine electives, the program includes a high degree of flexibility. You can specialise in computer science, economics, finance, logistics or marketing or gain a broader understanding of all fields.
Problem-based and work-integrated learning are a major focus of the program and exposure to industry projects provide you with hands-on experience to develop your analytic capabilities.
You also will have the opportunity to apply for placements or internships and have them count towards the program in the second year.
State-of-the-art statistical software used in the program will provide you with hands-on-experience required for analytical practice.
Options for shortened program duration
Based on your previous studies you may be eligible for exemptions which could shorten your program duration.
Options for graduate diploma
After completing 96 credit points of study approved by the program manager, you may exit with a Graduate Diploma in Analytics.
The Master of Analytics is delivered through a mixture of lectures, practicals, online materials, computer lab sessions, individual and group projects.
Classes are usually held once a week in the evenings. There are also opportunities for you to work as part of a team on projects and in consulting activities.
You will learn the fundamentals of statistics and computer programming and all the important tools including R, SQL, SAS Enterprise Guide, SAS Enterprise Miner, Python, Java, Julia, CPLEX, Gurobi and Arena, as identified by our industry partners.
Importance is placed on work-integrated learning and all analytics students have a project experience with our industry partners, working on real data.
Students who secure approved placements and internships in industry can have them counted towards the program.
Inside the course experience
You'll undertake industry projects and develop analytical capabilities by solving problems head on.
The program focuses on providing you with analytics experience and work-integrated learning (WIL).
Recent international student placements/projects include:
- Bosch Corporation, Japan
- Continental, Germany
- Siemens, Germany
- Novartis Switzerland
All analytics students have a capstone experience with our industry partners, working on real data.
You'll do industry projects and develop your analytical capabilities by solving problems hands-on.
Students will also have the opportunity to apply for industry internships and placements advertised through the program.
The program is linked to industry through the Program Advisory Committee (PAC) and through various consulting and research projects undertaken by staff.
Members of the PAC provide valuable input and are a major driver for change in the program, particularly with regard to industry trends and future graduate capabilities, the use of state-of-the-art software, the introduction of specialisations and, most importantly, support for the use of WIL.
Choose a program structure
| Title | Location | Duration | Plan code | CRICOS | ||
|---|---|---|---|---|---|---|
| Master of Analytics | City Campus |
2 years full time or 4 years part time
|
2 years full time
|
MC242 | 081540A |
Choose a program structure
Program code: MC242
Career
Graduates are employed by a variety of scientific, commercial and government enterprises, most commonly as data scientists, statisticians, business analysts, consultants, modellers and researchers.
With the increasing availability of data available from sources including smartphones, smartwatches, and the Internet of Things, there will always be analytics opportunities to derive insights.
Employment in marketing has grown exponentially over recent years, followed closely by finance, consulting and business intelligence.
Graduates can apply for membership of these organisations:
Admissions
- A bachelor degree
OR
- At least 10 years of relevant work experience
You must have successfully completed:
An Australian bachelor degree (or equivalent overseas qualification) in any discipline.
You may also be considered if you have at least 10 years of work experience in analytics, statistics, operations research, economics, finance, logistics, marketing, supply chain management, engineering (management), information technologies, information security, computer science or a relevant discipline.
Entry requirements
To study this program you will need to complete one of the following English proficiency tests:
- IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0)
- TOEFL (Paper Based Test): minimum score of 580 (TWE 4.5)
- TOEFL (Internet Based Test - IBT): minimum overall score of 79 (with minimum of 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing)
- Pearson Test of English (Academic) (PTE (A)): minimum score of 58 (with no communication band less than 50)
- Cambridge English: Advanced (CAE): minimum of 176 with no less than 169 in any component.
For detailed information on English language requirements and other proficiency tests recognised by RMIT, visit English language requirements and equivalency information.
Don't meet the English language test scores? Complete an Advanced Plus Certificate at RMIT English Worldwide.
Pathways
Exemptions
If you have successfully completed one of the following qualifications majoring in analytics, statistics, operations research, or a relevant discipline you will be eligible for exemptions as follows:
Qualification level |
Exemptions |
Remaining program duration |
(AQF Level 7 or equivalent)
|
Up to 48 credit points (equivalent to one semester of full-time study) |
144 credit points (equivalent to three semesters of full-time study) |
(AQF Level 8 or higher)
|
Up to 96 credit points (equivalent to two semesters of full-time study) |
96 credit points (equivalent to two semesters of full-time study) |
If you have successfully completed one of the following qualifications majoring in economics, finance, logistics, marketing, supply chain management, engineering (management), information technologies, information security, computer science, geospatial science or a relevant discipline you may be eligible for exemptions as follows:
Qualification level |
Exemptions |
Remaining program duration |
(AQF Level 7 or higher)
|
Up to 48 credit points (equivalent to one semester of full-time study) |
144 credit points (equivalent to three semesters of full-time study) |
If you choose to exit this degree after completing 96 credit points (equivalent to two semesters of full-time study) you are eligible to obtain a Graduate Diploma in Analytics. Note that the exemptions mentioned above cannot be used to exit with a graduate diploma.
Fees
2019 indicative fees
Full-fee places: AU$24,960*
*Amount quoted is the indicative 2019 tuition fee per annum, and is based on a standard year of full-time study (96 credit points). A proportionate fee applies for more or less than the full-time study load.
This program is offered on a full-fee paying basis only. If you are offered a place, you will need to pay the full tuition costs of your program. However, eligible students (such as Australian citizens or holders of an Australian permanent humanitarian visa) may apply to defer payment of some or all of their tuition fees via the Commonwealth Government’s FEE-HELP loan scheme.
Fees shown above apply to 2019 only and are based on an annual full-time study load of 96 credit points unless otherwise noted. A proportionate fee applies for more or less than the full-time study load. Tuition fees are adjusted on an annual basis and these fees should only be used as a guide.
For more information and to learn how to calculate your exact tuition fees see postgraduate study fees.
How does a HELP loan work?
If your FEE-HELP and/or SA-HELP loan application is successful, the Australian Government will pay RMIT, on your behalf, up to 100% of your fees. This amount will become part of your accumulated HELP debt.
You only start repaying your accumulated HELP debt to the Australian Government once you earn above the minimum income threshold for repayment, which is set each year by the Australian Government (this also applies if you are still studying). The Australian Taxation Office (ATO) will calculate your compulsory repayment for the year and include this on your income tax notice.
For more information about loan repayment options see Commonwealth assistance (HELP loans) or Study Assist.
In addition to tuition fees, you will be charged an annual student services and amenities fee (SSAF), which is used to maintain and enhance services and amenities that improve your experience as an RMIT student. The SSAF is calculated based on your enrolment load and the maximum fee for 2019 is $303.
You may be eligible to apply to defer payment of the SSAF through the SA-HELP loan scheme. If you use SA-HELP, the amount will be added to your accumulated HELP debt.
For more information about calculating your actual SSAF see Paying SSAF.
You may also be required to purchase other items related to your program, including field trips, textbooks and equipment. These additional fees and expenses vary from program to program.
The annual tuition fee for 2019 is AU$31,680.
The total indicative tuition fee for 2019 commencement is AU$64,320.
In addition to tuition fees you also need to pay for:
- Student services and amenities fee (SSAF) in each calendar year.
- Overseas Student Health Cover (OSHC) - Student visa holders must have cover for the total duration of their visa.
- Some programs incur additional expenses.
You also need to account for your living expenses. Estimate the cost of living in Melbourne.