Master of Data Science (Professional)
Unlock a world of potential with the Master of Data Science at JCU and become an authority in the roaring big-data industry. Develop innovative solutions to contemporary problems in data science and mastermind database systems, programs, models, and projects. Gain strong career planning insights and build critical enterprise skills through dedicated career preparation.
What to expect
JCU students have the advantage of learning how to apply data science skills to tropical, regional, and Aboriginal and Torres Strait Islander contexts. Benefit from industry expertise with courses taught by data scientists, SAS partnership and certification, and access to the SAS data Science Academy.
Learn to exercise your professional judgment to suit specific circumstances and have the opportunity to complete a substantial research-based project. Your capstone project will allow you to build a portfolio to showcase your expertise.
Upon graduating, you will be across recent developments and modern challenges in data science and equipped with skills in key areas including machine learning, data mining, algorithm development, and advanced modelling.
You will have senior industry contacts, experience with real-world projects, and a foundational understanding of technology that allows you to adapt to every innovation. You will know when and how to apply computing languages and computational tools for data acquisition, queries, management, analysis, and visualisation.
You'll experience an innovative delivery method - this degree is broken up into twelve study periods. Students must complete an additional subject externally (online) in specified study periods throughout the course duration, in order to complete sixteen subjects in two, full-time years of study.
Intakes
- Jan
- March
- May
- July
- Sep
- Oct
Application Processing Time in Days: 20
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
JCU Data Science (Professional) graduates are highly skilled specialists with invaluable professional expertise.
Graduates benefit from rapidly increasing job openings across the data industry and a data-driven future. You can apply data science to industrial, environmental, cultural, societal, and agricultural projects.
You could find work as a data scientist, data engineer, data analyst, data architect, visualisation specialist or statistician.
PSW Opportunity
Post Study Work Steam Renames to Post Higher Education Work Steam.
- Bachelor degree holders including honours can get upto 2 years of post study stay
- Master by course work and extended (with a duration exceeding 2 years) can stay upto 2 years
- Masters by research (with a duration exceeding 2 years) and PhD holder can stay upto 3 years
- The Maximum eligible age to apply for PSW will be reduced to 35 years of age from 50 years of age for all applicants
Due to the Australian Indian Economic Cooperation and Trade Agreement signed by the 2 countries, according to which:
- Indian students completing bachelor degree including honours can stay upto 2 years
- Bachelor degree with First class honours in STEM including ICT can stay upto 3 years
- Masters by coursework in extended researched (with a duration exceeding 2 years) can stay upto 3 years
- PhD students can stay upto 4 years
Admission Requirement / Eligibility Criteria
- Completion of an AQF level 7 bachelor degree; or
- Five (5) years or more relevant industry experience in IT or data science/data analytics; or
- Other qualifications or practical experience recognised by the Dean, College of Science and Engineering as equivalent to the above.
Entry requirements for this course are consistent with the Pathways to Qualifications in the Australian Qualifications Framework (AQF level 9) Guidelines for Masters degrees.
For More Information Pls Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
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Total Tuition Fee:
69920 AUD
Average Cost of Living: 29710 AUD /year
Application Fee: N/A