Universities Australia RMIT University Courses Master of Data Science

Master of Data Science
at RMIT University

Melbourne, Australia

Tuition Fee AU$ 39,360
Country Rank-
Duration24 Months
Score IELTS: 6.5 TOEFL: 79

Program Overview

The new interdisciplinary field of data science combines areas of computer science with mathematical statistics and domain expertise to manage and analyse data. Specialists develop the capability to derive insight and opportunity from the vast repositories of information that organisations collect. Data science also puts an emphasis on the specialised computational skills required to manage and analyse big data from sources such as social media, massive sensors, mobile and transaction data. It enables businesses to gain a competitive edge, governments to deliver more targeted services, and research teams to make new discoveries.
Data science and its analysis could appeal to people from a broad range of backgrounds, such as graduates from computing, mathematics, science, engineering or health.

Through this degree, you'll build a mix of skills in analytics, statistics and computer science that will enable you to be central to business decision-making, corporate strategy and government planning. This prepares graduates for a career in a field that is driving scientific research, economic growth, public policy and corporate strategy, using technologies to aid the management and analysis of very big data sets.

This degree also provides opportunities to experience an industry project where you’ll undertake a capstone project giving you hands-on, practical experience analysing data in a business setting. Working within a corporate environment, you’ll integrate the knowledge you’ve acquired throughout the course into a solid skills base to take into your professional life.

Exposure to theoretical knowledge and practical expertise means that graduates of the Master of Data Science have the potential to become influential leaders within their organisations.

Course Content
Year One of Program

Complete the following Seven (7) Courses:
- Practical Data Science with Python
- Programming Fundamentals
- Database Concepts
- Applied Analytics
- Data Wrangling
- The Data Science Professional
- Advanced Programming for Data Science
Year Two of Program

Select and Complete One (1) of the following Courses:
- Computational Machine Learning
- Data Mining
- Machine Learning
Entry Requirement
Academic requirements

You must have:
- An Australian bachelor degree in computing, science, engineering, health, or statistics with a GPA of at least 2.0 out of 4.0, or equivalent.
OR
- You may also be considered if you have an Australian bachelor degree with a GPA of at least 2.0 out of 4.0, or equivalent and; relevant completed courses in programming and statistics in an undergraduate or postgraduate degree or a minimum three years’ of current, relevant work experience or professional practice as a programmer, statistician or equivalent.
International qualifications are assessed for comparability to Australian qualifications according to the Australian Qualifications Framework (AQF).

Prerequisites
- There are no prerequisite subjects required for entry into this qualification.
Selection tasks
- A selection task is not required for entry into this qualification.
Fees & Scholarships
The annual tuition fee is AU$39,360
Career Prospect
Any organisation handling large volumes of data needs qualified data scientists. Organisations in all sectors of the economy – IT, business, banking and finance, science and engineering, government, health and medical – can gain a competitive edge by better managing and analysing their data.

As data science is still a new and emerging field, the roles available are consequently quite varied and diverse.

As well as the title of Data Scientist, other positions include analytics specialist, business intelligence analyst/developer, data analyst, data architect, data engineer, data miner, research scientist and web analyst.

While industry expertise is at the heart of this degree, studying at RMIT also means you are physically located close to Melbourne’s data professionals in the central business district, with many opportunities for developing links to local industry and jobs, including meet-ups, events and seminars, as well as other networking occasions.

After being exposed to the latest theoretical and practical expertise, graduates are expected to become influential leaders within their organisations.

There is also a research stream in this course, in which students work with a data science researcher on more technical data science innovation.

Cost Of Studying At RMIT University

Interest rates as low as 8.9% ^*

250K+

Students Assisted

800Cr+

Loan Amount Disbursed

5000+

Loans Sanctioned

Check Loan Eligibility

Master of Data Science at RMIT University