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Master of Data Science

Join the rapidly evolving field of data analytics and build your advanced statistics, machine learning, and programming skills. Build foundational technical and analytical skills for working with large, complex collections of data. And dive deeper with specialisation streams and a dedicated major data science project.

Key features

Build industry connections. Build connections with researchers from on-campus partners like the Australian Mathematical Sciences Institute and Melbourne Integrative Genomics.
Flexible study options. Choose from four data science specialisations: foundational, statistical, computational, and computational and statistical.
Showcase your skills. Apply data science tools to a practical problem in the final year capstone subject. Work individually or in a group and present your technically correct results in a client-ready format.

Campus Information

Parkville campus

Our Parkville campus is a city within a city. With cafes, 12 libraries, gyms, specialty stores, a small supermarket, and even a seasonal farmers market, you’ll never have to leave. The Parkville campus is situated within a renowned knowledge precinct, which includes eight hospitals, many leading research institutes and a wide range of knowledge-based industries.

Intakes

March

Application Processing Time in Days: 60

Application Process

After Offer Acceptance, student receives ECOE ( Electronic Confirmation of Enrollment) and therafter visa is lodged.

Days

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

Data scientists are in demand across a range of diverse industries and can command high salaries. Our graduates work as data scientists and analysts,software engineers,data infrastructure engineers,business intelligence analysts, and statisticians.

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

To be considered for entry into this course, you must have:

An undergraduate degree (or equivalent) in any discipline with a Weighted Average Mark (WAM) of at least 65% (or equivalent), AND
At least 12.5 credit points (one standard subject) of university-level computer science (or equivalent) with content focused on computer programming, AND
Successfully completed MAST10006 Calculus 2 AND MAST10007 Linear Algebra (or their equivalents).

For More Information Please Contact To Our PSA Counselor.

University of Melbourne

Melbourne , Victoria ,Australia