Overview
The Data Science (Professional) Online degree at James Cook University equips students with essential skills in data analysis, machine learning, and statistical modelling, preparing them for a dynamic career in this rapidly evolving field. This programme is tailored for individuals who aspire to harness the power of data to drive decision-making and innovation across various industries.
Why Data Science (Professional) Online at James Cook University?James Cook University is renowned for its strong emphasis on research and innovation, consistently ranking among the top universities globally. The university boasts state-of-the-art facilities and a robust network of industry partnerships that enhance the learning experience. Students benefit from engaging with leading experts and gaining insights into real-world applications of data science.
Tuition Fee BreakdownThe tuition fee for the Data Science (Professional) Online programme is AUD 60,384 for both domestic and international students. Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus- Introduction to Data Science
- Statistical Methods for Data Analysis
- Machine Learning Techniques
- Data Visualisation and Communication
- Big Data Technologies
- Ethics in Data Science
- Capstone Project
Graduates of the Data Science (Professional) programme are well-prepared for various roles in the tech industry. Alumni have successfully secured positions in leading companies, working as data analysts, data scientists, and machine learning engineers. The skills acquired through this course enable graduates to thrive in sectors such as finance, healthcare, and technology, where data-driven decision-making is crucial.
Programme Structure
Courses include:
- Data Science Master Class
- Advanced Data Management and Analysis using SAS
- Data Science and Strategic Decision Making
- Visual Analytics for Data Scientists using SAS
- Data Mining and Machine Learning
Key information
Duration
- Part-time
- 32 months
Start dates & application deadlines
- Jan, Mar, May, Jul, Sept, Oct ( 6 chances in a year to start the course )
Language
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Delivered
Campus Location
- Brisbane, Australia
Disciplines
Computer Sciences Data Science & Big Data Web Technologies & Cloud Computing View 15 other Masters in Computer Sciences in AustraliaWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
CRICOS Provider 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 Fees
-
International Applies to you
Applies to youNon-residents22644 AUD / year≈ 22644 AUD / year -
Domestic Applies to you
Applies to youCitizens or residents22644 AUD / year≈ 22644 AUD / year
Additional Details
- $3,774 per subject; 16 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 (Professional) Online.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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