Master of Data Science and Decisions
The two-year Master of Data Science and Decisions has been developed to train scientists to meet the current and future strong demand for Data Scientists and Data Analysts. Graduates will have broad and advanced knowledge and skills in Data Science across the three areas of mathematics and statistics, computer science, and economics, and they will gain deeper knowledge of Data Science in one of these three areas by pursuing studies in one of four specialisations. Students will develop research and communication skills in Data Science through project work.
Campus Information
Kensington
High St Kensington, NSW 2052 Australia
Intakes
- Feb
- Sep
Application Processing Time in Days: 21
Application Process
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
The era of Big Data
With quintillion bytes of data generated each day, it’s safe to say that we’re in the era of big data. Social media, the Internet of Things (IoT), machine learning and artificial intelligence are driving the trends in data and influencing the role of data scientists.
As the big data boom rolls on, your skills will be central to a range of roles in information-rich industries including:
- internet search
- fraud detection
- targeted advertising
- logistics planning
- speech recognition
- image analysis
- genetic risk prediction
- virtual reality
- customer loyalty
- product development
- autonomous vehicles.
What does a career in this field look like?
Data science is a multidisciplinary field of study that blends mathematical methods, statistics, computing, business decisions and communication. Data scientists translate user data into insights that help companies understand their audience and personalise their products or services. Uncovering new insights and predicting trends has become vital in the retail, environmental, not-for-profit, IT and professional services sector.
Career opportunities in data science span across many industries from start-ups to established corporations including Coles, AirBnB, Spotify, Netflix and Greenpeace, to name a few. As a data scientist, you might be asked to calculate the price of new products for the market, determine warehouse or retail employee schedules, make predictions of environmental phenomena and model the spread of new diseases.
PSW Opportunity
- 2 years Post Study work visa for international students completing a Masters at Sydney campus.
- 3 years Post Study work visa for international students completing Masters at Canberra campus.
- 3 years for Masters by Research.
Admission Requirement / Eligibility Criteria
For entry into this degree, you must have one of the following:
- a Bachelor of Mathematics
- a Bachelor of Science with a major in mathematics, statistics or computer science
- a Bachelor of Data Science and Decisions
- an undergraduate degree in a cognate discipline as determined by the program authority
You also need to have a sufficient background in mathematics and/or statistics and/or data science, as indicated by an average of 70 or above in appropriate level III university courses.
- Course Code: 101866
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
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Total Tuition Fee:
1125000 AUD
Annual Cost of Living: 24505 AUD
Application Fee: 150 AUD
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