Master of Data Science
Enter the revolutionary area of big data where there is an acute shortage of data scientists. This is expected to drive future growth in the data science workforce, with an annual growth rate of 2.4% between 2016-17 and 2021-22 (which is stronger than the 1.5% per annum growth forecast for the entire Australian labour force)1.
Vast volumes of data are generated every day around the globe. The need to make sense of it has given rise to the revolutionary area of ‘Big Data’, and to a new career of ‘data scientist’. Data scientists find patterns, making meaning and drawing value from the seeming chaos.
Taught by leading researchers you will learn to analyse and visualise rich data sources, how to spot data trends and to generate insights based on data.
This postgraduate degree is offered as part of a suite of three programs (graduate certificate, graduate diploma and master). Each qualification extends to the next, so you can easily transition to a master level qualification.
If you decide to exit this degree having completed the first four courses you will receive the Graduate Certificate in Data Science. If you have completed the first eight courses you will receive the Graduate Diploma in Data Science.
You will start by developing foundation skills in data and statistics and then in second year, you will study advanced skills in analytics. This will include courses such as:
- Predictive Analytics
- Unsupervised Methods in Analytics
- Research Methods
- Data Visualisation
- Customer Analytics in Large Organisations
- Advanced Analytic Techniques 1 & 2
- Social Media Data Analytics
You’ll finish your degree with a professional project where you’ll work in a structured project team, getting practical experience in modern data science techniques and practices.
Campus Information
Mawson Lakes
In the progressive area of Mawson Lakes just 12km north of the city, you can study civil aviation, education, engineering, environmental studies, information technology, science, and sport and recreation management.
Intakes
- Feb
- July
Application Processing Time in Days: 14
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 field of data science field is evolving at a rapid rate. It will continue to grow as savvy business leaders integrate analytics into every facet of their organisation. Analytics, science, data, and reasoning are becoming embedded into decision-making processes, every day and everywhere in the business world1.
Careers to consider:
- Statistician – As a statistician, your responsibilities include but not limited to is to conduct analyse on data, create projections and interpretations. You will be relied upon to produce statistical inferences based on data collected or available in the organisation. In addition, you might be responsible for new projects and requesting certain datasets. It will be assumed that you have a strong background in statistics, and can create statistical models and apply techniques to make good business decisions.
- Data Modeller/Architect – As a data modeller or architect, your responsibilities are concentrated around modelling situations and deducing outcomes by using data. You may be consider an architect in the company since you will build systems both statistically and IT facing to solve problems and model current operations. This will require you to have an in-depth knowledge of databases, predictive analytics and advanced mathematical techniques to solve problems.
PSW Opportunity
Bachelor Degree or Masters by Coursework Degree - 2 years - 3 years (Adelaide)
Masters by Research - 3 years - 4 years (Adelaide)
PhD qualification - 4 years - 5 years (Adelaide)
Admission Requirement / Eligibility Criteria
Applicants to the Master of Data Science will normally have:
- a Bachelor degree or equivalent from a recognised higher education institution with a minimum of one year of full-time study in Mathematics or Information Technology or Data Science or a combination thereof;
OR - a Graduate Certificate or Graduate Diploma in Data Science or equivalent from a recognised higher education institution.
- Course Code: 079912G
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
-
Total Tuition Fee:
77000 AUD
Annual Cost of Living: 24505 AUD
Application Fee: N/A
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