Overview
Program Highlights
- Develop fundamental skills in data science.
- Open up your career opportunities.
- Build your portfolio.
- Gain skills in SAS, Python, R and more.
- Fast-track your career with 100% online study.
- Be supported by a dedicated Student Success Advisor.
Career opportunities
The field of data science continues to grow, and studying the Data Science MSc program offered at James Cook University will give you an edge in this diverse industry. Upon successfully completing a Data Science program at James Cook University, you will have the skills and expertise to succeed in roles like:
- Data Scientist
- Business Analyst
- AI Developer
- Machine Learning Specialist
- Data Analyst
- Chief Information Officer
According to Seek, the most common salary for a Data Scientist is $130,000. The Talent Data Science & Analytics Market Snapshot & Salary Guide states the most in-demand skills in this field include programming languages like SQL, Python and R, business analytics and machine learning², all of which you will learn in JCU Online’s Master of Data Science.
Programme Structure
Courses include:
- Data Science Master
- Advanced Data Management and Analysis using SAS
- Data Science and Strategic Decision Making
- Data Mining and Machine Learning
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Jan, Mar, May, Jul, Sept, Oct ( 6 chances in a year to start the course )
Language
Pass IELTS with Swoosh English! Sign up for a free writing masterclass or claim your exclusive 25% Studyportals discount and accelerate your preparation by taking a course designed by experts to get you the results you need.
Delivered
Disciplines
Data Science & Big Data View 22 other Masters in Data Science & Big Data in AustraliaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Pass IELTS with Swoosh English! Sign up for a free writing masterclass or claim your exclusive 25% Studyportals discount and accelerate your preparation by taking a course designed by experts to get you the results you need.
Other requirements
General requirements
CRICOS Code: 00117J
The Master of Data Science welcomes applications from students who are able to meet the following criteria:
- A Bachelor degree (whilst not a prerequisite for entry, high numeracy skills equivalent to senior level mathematics that includes algebra and elementary differential calculus is assumed); OR
- At least five years of relevant work experience in an IT or data science-related industry. Industry experience will need to include some background in computing, data analysis or programming. Application based on relevant industry experience must be supported by a detailed CV and proof of work experience.
Tuition Fee
-
International
22644 AUD/yearTuition FeeBased on the tuition of 45288 AUD for the full programme during 24 months. -
National
22644 AUD/yearTuition FeeBased on the tuition of 45288 AUD for the full programme during 24 months.
$3,774 per subject; 12 subjects (One subject per each 7-week study period)
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility