Course code: #MC267
These items are optional and you can choose them as you wish after applying for the course.
Data science has been called the “sexiest job of the 21st century” and those who can manage and make sense of data will undoubtedly take on some of the most important roles in the information age.
We live in a data-driven world that’s generating huge volumes of information at ever-increasing rates via:
Social media, financial transactions, transportation, and scientific discovery. Consequently, an understanding of data is a top priority for all of us – whether you’re in business, government, or individually as citizens and consumers.
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.
The real-world focus of this program provides an excellent networking environment that can lead to internship and industry-led project opportunities.
The degree has substantial links with the data science profession and related areas of industry, both in Australia and internationally.
The subjects are taught by academics with strong research backgrounds and links to industry, as well as sessional teachers, guest lecturers and leaders working in industry.
Note: You will not need to pay any application fee but some of African countries will need to deposit of AU$100 application fee.
|Cost of living||1 person||$10,620|
|Accommodation||1 bed room||0|
Note: Documents must be certified.
If you don't meet the English language test scores Complete an English for Academic Purposes (EAP) Advanced Plus Certificate at RMIT English Worldwide as follows:
RMIT English Worldwide (REW):
REW courses are available in 6 levels with Entry requirements as follow:
|REW levels of study||Elementary |
|Advanced Plus |
|IELTS / IELTS Indicator||3.5 |
no band <3.0
|TOEFL iBT / TOEFL iBT® Special Home Edition||28||30||33||40 (Minimum: Listening 3, Reading 3, Speaking 12, Writing 12)||50 (Minimum: Listening 5, Reading 5, Speaking 14, Writing 15)||60 (Minimum: Listening 9, Reading 10, Speaking 16, Writing 19)|
You must have:
International qualifications are assessed for comparability to Australian qualifications according to the Australian Qualifications Framework (AQF).
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