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About the Deakin University MS in Data Science (Global)
Deakin University is offering an 11-month MS in Data Science (Global) program designed for IT professionals. It helps students learn advanced data science skills through project-based learning.
The curriculum is divided into three trimesters covering topics such as Engineering AI Solutions, Mathematics for Artificial Intelligence, Machine Learning, Modern Data Science, Real-World Analytics, and Data Wrangling.
To pursue the Master of Data Science Global from Deakin University, students must have completed PGP in Data Science with Generative AI (PGP-DSGA) or the PGP in AIML offered by the McCombs School of Business at The University of Texas at Austin and Great Lakes Executive Learning.
Updated Course Fee 2026
Total Tuition Fee
₹ 5,50,000/-
Deakin University Approvals
Deakin University is accredited and recognised by many educational authorities. Students ensure academic quality, credibility and value of the MS in Data Science program. The received recognitions confirm that the university follows and maintains required regulatory compliance. The university is recognised by:
AACSB Accredited
TEQSA
Deakin University Rankings
Deakin University MS in Data Science Eligibility Criteria
Educational Qualification
Applicants must have completed at least a 3-year bachelor's degree in any stream from a recognised university.
Grades
A minimum passing mark must be obtained in graduation.
Work Experience
The university considers a minimum of 2 years of work experience.
Deakin University MS in Data Science Curriculum
Sample Certificate
Skills you will gain from an MS in Data Science
The Master of Data Science (Global) at Deakin University equips you with a broad set of in-demand data science and AI capabilities that prepare you for diverse roles in analytics, machine learning, and data-driven decision-making.
Build skills in data visualisation to communicate insights effectively through visual tools.
Understand modern data science methods used for real-world analytics and decision-making.
Develop programming skills using Python to analyse and process complex datasets.
Gain expertise in machine learning techniques to build predictive and intelligent models.
Learn data wrangling and database management to organise and prepare large datasets.
Apply analytical techniques to solve business and industry problems using data-driven approaches.
Online Examination Pattern at Deakin University
Students enrolled in the MS in Data Science at Deakin University are assessed through a structured evaluation system that measures their understanding of course concepts and the practical application of knowledge. The assessment process may include coursework, case studies, and other academic tasks, depending on the program requirements. These evaluations are designed to test students’ ability to apply theoretical concepts to real-world problems. This method helps learners build both strong conceptual foundations and practical skills for professional environments.
Financial Aid offered by Deakin University
For the MS in Data Science, Deakin University offers financial assistance options to help students manage the cost of the MS in Data Science program. Students can pay their program fees through net banking, credit cards, or debit cards, and may also access education loans through financial partners such as Eduvanz, LiquiLoans, Propelld, and GyanDhan at 0% interest (terms may apply). The university also offers various scholarships for eligible students based on merit, financial need, and other criteria, helping make higher education more accessible and affordable.
MS in Data Science: Career Opportunities
Pursuing an MS in Data Science opens up diverse career opportunities across industries like IT, finance, healthcare, and e-commerce. Graduates are equipped with advanced skills in machine learning, data analytics, and AI, making them suitable for roles that demand data-driven decision-making.
| Job Roles | Annual Average Salary |
|---|---|
| Data Analyst | ₹8,00,000 – ₹12,00,000 |
| Business Intelligence Analyst | ₹7,00,000 – ₹10,00,000 |
| Data Scientist | ₹9,00,000 – ₹14,00,000 |
| Machine Learning Engineer | ₹8,50,000 – ₹15,00,000 |
| Data Engineer | ₹7,50,000 – ₹11,00,000 |
Deakin University Placement Partners
Deakin University collaborates with industry, government, and research organisations to offer students valuable placement opportunities. Through work-integrated learning programs, students acquire hands-on experience in real-world professional settings. These placements allow them to apply their academic knowledge, strengthen industry networks, and develop job-ready skills, enhancing their employability and career prospects. Top recruiters are:
Aditya Birla
HCL
TCS
Bosch
Deakin University Career Support
Resume and Profile Support
Assistance is provided to create strong resumes and professional profiles highlighting academic and technical expertise.
Mock Interview
Students receive interview preparation support to improve confidence and performance to crack the interviews.
Workshops
Interactive career workshops help students strengthen practical knowledge and professional skills.
Guidance
Continuous academic and career guidance supports students in making informed professional decisions.
Deakin University Admission Process
The university offers a simple and well-organized admission process designed to provide a seamless application experience. Applicants are supported through each stage, enabling the university to evaluate their academic preparedness and suitability for its programs.
Apply Online
Candidates are required to fill out an online application form.
Interview
The admission director’s official will conduct a screening call with the candidates.
Offer Letter
An offer letter will be provided to the shortlisted candidates.
Pay Fee & Confirm Enrolment
The selected candidate must secure a seat by paying the admission fee.
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