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Masters in Applied Artificial Intelligence

Deakin University, Melbourne

Masters Program

Applied Artificial Intelligence ,

Department of Artificial Intelligence

Overview

Masters in Applied Artificial Intelligence at the prestigious Deakin University, Melbourne is an opportunity for students to enhance their knowledge, skills, and career through innovation and research. Being a renowned university, Deakin University, Melbourne receives enough funds to ensure the best education facilities for its students across all programs.

This post-graduate program offered on a full time basis has a well-designed curriculum that perfectly blends theory and practical learning. It prepares the students for their professional life to reach new heights of success.

Masters in Applied Artificial Intelligence at Deakin is ranked globally by estimated organisations. Such recognition speaks volumes about the course’s importance and effectiveness in the present scenario.

The top-notch faculty, modern facilities, and the aura of creativity and innovation in the Deakin campus is a life-changing experience for the students looking forward to kickstarting or upgrading their careers. Overall, a Masters in Applied Artificial Intelligence at Deakin University, Melbourne is an excellent opportunity to grow into a learned professional and bring new developments in the world.

Course Highlights

Program duration

24 Months

Degree type

Artificial Intelligence

Course credits

16


Delivery type

Full time

Delivery medium

On Campus


Tuition fees

waived flag Fees mentioned may differ from the actual amount.

Annual tuition fees

A$36,400

Full course fees (24 months)

A$72,800

Application Fee

A$55

Deadlines

Application Deadline

Rolling

Pre-Requisities

Application pre-requisites

  • Online Application
  • Application Fees
  • Academic Transcript
  • CV/Resume
  • Personal Statement
  • English Language Proficiency

Test score requirements

Minimum English Scores

IELTS

6.5

Students

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Yocketer profiles

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Business Analytics

dot

Fall 2021

Akash Agrawal

Akash Agrawal

Computer Science

dot

Fall 2021

Akash Agrawal

Akash Agrawal

Computer Science

dot

Fall 2021

Poorvi B.Prakash

Poorvi B.Prakash

Computer Science and Engineering

dot

Fall 2020

Shams_Abbas Naqvi

Shams_Abbas Naqvi

Civil Engineering

dot

Fall 2019

Course Details

Core subject areas

  • Machine Learning
  • Object-Oriented Development
  • Database and Information Retrieval
  • Software Requirements Analysis and Modelling
  • Web Technologies and Development

Accreditation

Australian Computer Society (ACS).


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Ravindra Babu Devabhaktuni

3 days ago

Suggestions please
Gpa:8.79(CSE) IELTS - 7 GRE -326 Publications:1 Internships:1 Projects: 3 Certifications: Microsoft Azure Associate Developer, Automation Anywhere, Certified Artificial Intelligence Engineer from Sim... Show more
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1 Comment
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Ravindra Babu Devabhaktuni

4 days ago

Profile Evaluation Please
Gpa:8.79(CSE) IELTS - 7 GRE -326 Publications:1 Internships:1(3 Months only) Projects: 3 Certifications: 1. Microsoft Azure Associate Developer, 2. Automation Anywhere certified Advanced RPA process... Show more
3 Likes
2 Comments
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Nuntea Zadeng

9 days ago

How can i get admission to Integrated Phd in UK after BCA in India?
I am now starting my BCA....How can i get admission in Integrated Master+Phd in Uk for artificial intelligence?
1 Like
1 Comment
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Samyak Shah

10 days ago

MS in AI or MS in CS
I want to pursue my masters from USA, Fall 2023. I am interested in Artificial Intelligence/ Machine Learning. However, I don't want to pursue data science. It's either AIML or CS. My scores are GRE- ... Show more
Like
1 Comment
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Po Ra

12 days ago

Profile evaluation for spring 2023
Want to pursue MS in Software engineering or Data science or Artificial intelligence. Btech in Electronics engineering CGPA: 8.8 /10 GRE : 300 AWA :2 TOEFL: 86 Professional experience: 7 years of expe... Show more
1 Like
1 Comment