Deakin University
Deakin University

Master of Data Science (Professional) - Analytics in Internet of Things

Deakin University's Master of Data Science (Professional) with a specialization in Analytics in Internet of Things is an exceptional choice due to its strong industry alignment and practical focus. Deakin boasts a reputation for innovative research and state-of-the-art facilities, providing students with access to cutting-edge technologies and real-world projects. This program is designed to equip you with highly sought-after skills, making you a competitive candidate in the rapidly evolving data and IoT landscape.

science STEM Designated
schedule Duration

24 Months

school Level

Masters

location_on Location

Australia

stars Credits

16

menu_book Syllabus & Modules

01

Data Wrangling and Management

Core Module

02

Statistical Modelling and Machine Learning

Core Module

03

IoT Architectures and Protocols

Core Module

04

Big Data Analytics

Core Module

05

Cloud Computing for Data Science

Core Module

06

Cybersecurity in IoT

Core Module

07

Data Visualization and Storytelling

Core Module

08

Professional Practice in Data Science

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

90%
Employed
Other

Average Starting Salary

AUD $80,000 - $120,000

Core Focus & Roles

IoT Data Scientist Analytics Engineer Machine Learning Engineer Data Strategist
Graduates will be well-prepared for roles in data analysis, IoT solution development, and data-driven decision-making across various sectors including technology, manufacturing, healthcare, and smart cities. Opportunities exist in both established corporations and innovative startups, focusing on leveraging data from interconnected devices to drive efficiency and innovation.

Entry Requirements

language

English & Others

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Accepts 15 Years Education

Yes

GMAT N/A
GRE N/A
SAT N/A
ACT N/A
IELTS 6.5
TOEFL 79
PTE 58
Duolingo N/A
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MAX. Backlogs Allowed

15

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Application Fee

Waiver Available

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Deposit Fee

Yes

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Document Submission Deadline

One and a half months before course starts

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Application Deadline

One and a half months before course starts

Apply for this Course open_in_new Official Course open_in_new
event

Scholarship Deadline

Two months before course starts

school

Academic

  • Min GPA 65
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