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Master of Data Science (Global) Program - Deakin University

This exclusive Master of Data Science (Global) program is offered only to PGP-DSBA and PGP-AIML learners to help them attain accelerated career growth in the Data Science domain. Featuring live virtual classes delivered by Deakin faculty, the program offers a globally recognized master's degree at 1/10th the cost of an on-campus program. Graduates gain Deakin alumni credentials with access to the same privileges as full-time students. The curriculum is designed by industry experts and focuses on hands-on, project-based learning in areas like Engineering AI Solutions, Mathematics for Artificial Intelligence, Machine Learning, Modern Data Science, Real-World Analytics, and Data Wrangling. Students can participate in an optional on-campus graduation ceremony in Australia.

Instructors:

Dr. Sutharshan Rajasegarar

Dr. Sutharshan Rajasegarar

Dr. Bahareh Nakisa

Dr. Bahareh Nakisa

English

Not specified

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Degree Course Image
  • Duration:

    12 Months

3,50,000

Overview

The Master of Data Science (Global) program is an exclusive opportunity offered by Deakin University specifically for graduates of PGP-DSBA and PGP-AIML programs. This online masters degree provides a comprehensive education in data science at 1/10th the cost of a traditional on-campus program while delivering the same quality and recognition. The curriculum combines theoretical knowledge with practical applications through industry-relevant projects. Students benefit from live virtual classes taught by Deakin faculty and gain valuable alumni status upon completion. The program is designed to accelerate career growth in the data science domain, preparing professionals for leadership roles across various industries.

Why Master of Science (MSc)?

The Master of Data Science (Global) program stands out for its exceptional value proposition and unique advantages. As a WES-accredited degree from Deakin University, ranked in the top 1% of universities globally, it offers international recognition and credibility. The program is specially designed for professionals who have completed PGP-DSBA or PGP-AIML, allowing them to leverage their existing knowledge while advancing to a master's level qualification. The program's online format provides flexibility for working professionals, and the curriculum is crafted by industry experts to ensure relevance in today's job market. With a focus on practical skills through project-based learning and access to powerful tools like Python, R, Microsoft Azure, Machine Learning Studio, PowerBI, and Tableau, graduates are well-prepared to take on leadership roles in the data science domain.

What does this course have to offer?

Key Highlights

  • Live virtual classes by Deakin faculty

  • Masters degree from Deakin University

  • Optional on-campus graduation ceremony

  • Gain Deakin alumni credentials

  • 1/10th fee of an on-campus program

  • Curriculum designed by industry experts

  • Hands-on project based learning

  • World Education Services (WES) Recognized

  • Access to Deakin Email IDs

  • Deakin Alumni discount on any PG course at Deakin

Who is this programme for?

  • Data science professionals looking to advance their careers

  • Graduates of PGP-DSBA or PGP-AIML programs seeking higher credentials

  • Working professionals wanting a flexible, globally recognized masters degree

  • Individuals aiming for leadership roles in data science

  • Professionals looking to expand their network through alumni connections

Minimum Eligibility

  • Bachelor's degree (minimum 3-year degree program) in a related discipline OR bachelor's degree in any discipline with at least 2 years of work experience

  • Successful completion of PGP-DSBA or PGP-AIML

  • Meet Deakin's minimum English Language requirement

Degree Course Image
  • Duration:

    12 Months

3,50,000

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.