Master of Data Science at University of Adelaide Overview
Master of Data Science
at University of Adelaide
Gain a solid foundation in data science principles, methodologies, and tools, while also offering flexibility to explore advanced topics and specialize in areas of interest
Duration | 34 months |
Total fee | ₹58.82 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Course Level | PG Degree |
Master of Data Science
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
- Entry Requirements
- Student Reviews
Master of Data Science at University of Adelaide Highlights
Master of Data Science
at University of Adelaide
- Earn a certificate after completion of the course
- Hands-on training
Master of Data Science at University of Adelaide Course details
Master of Data Science
at University of Adelaide
Skills you will learn
Who should do this course?
- Recent graduates
- Working professionals
- Professionals in non-technical roles
- Individuals already working in data-related roles
What are the course deliverables?
- Introduction to Data Science
- Statistical Methods for Data Science
- Programming for Data Science (e.g., Python, R)
- Data Visualization
- Introduction to Data Science
- Statistical Methods for Data Science
- Programming for Data Science (e.g., Python, R)
- Data Visualization
More about this course
- This course is designed to equip students with advanced knowledge, skills, and expertise in the rapidly expanding field of data science
- This program integrates principles and techniques from computer science, statistics, mathematics, and domain-specific areas to address complex data challenges across various industries and sectors
Master of Data Science at University of Adelaide Curriculum
Master of Data Science
at University of Adelaide
Human and ethical factors in computer science
Data taming, modelling and visualisation
Foundations of computer sciences: Python A
Applied Data Science
Applied Data Science and Mathematics
Foundations of computer sciences: Python B
Applications of data science
Mathematical Foundations of Data Science
Real data: Modern methods of finding hidden patterns
Big data analysis and industry project
Using machine learning tools
Working with big data
Business data and cyber security
Decision sciences
Master of Data Science at University of Adelaide Entry Requirements
Master of Data Science
at University of Adelaide
PTE
- No specific cutoff mentioned
Other eligibility criteria
- Education: Bachelor's degree
- Proficiency in english language
Conditional Offer
- Yes
- Read moreConditions may include: Providing proof of English Language Proficiency (e.g. IELTS, TOEFL or successful completion of the Academic English program) Completion of academic qualifications (e.g. graduation certificates) Provision of official documents (e.g. original or certified copies of your documents).
Other courses offered by University of Adelaide
The University of AdelaideStudents Ratings & Reviews
4.2/5
2 RatingsVibe of Campus
- Friendly
- Easy going
- Multi-dimensional
- Fun loving
Student Views
- 50% students never faced discrimination in this university
A
Anonymous
Master of Data Science
Offered by The University of Adelaide
4.5
An international local experience.
Tips: Prospective students should go through the course curriculum beforehand to ensure they set their expectations right for what they are gonna be studying in the classes. There are scholarships available that are provided on merit. The current university is transitioning into the new Adelaide University, so there are a few things which are still being worked out, but hopefully it will all be settled soon.
Likes (Student Life): There is so much going on in the university. Every other day, some activity is happening on the campus; it's up to you if you want to participate or not. Student engagement activities, informative sessions, giveaways, and other well-being activities are a few to list.
Dislikes (Public transportation): There is a robust network of public transport connections from the university to other locations. Trains and tram services are available in limited areas, which can increase travel time using buses. The transport services are not so expensive, and special concession fares are available for students.
Reviewed on 16 Sep 2025Read more
S
Shobhana Anil Khedekar
Master of Data Science
Offered by The University of Adelaide
3.9
The university is more research-focused than academic.
Tips: I was able to get 30% off my tuition based on my grades from my bachelor's. However, I am not satisfied. This university is more research-focused than academic. None of the lectures is mandatory because everything is recorded. The university also takes plagiarism very seriously.
Likes (Part time work): Working off-campus for students is a great option, but there's a limit of 48 hours per week. Finding jobs can be challenging, but everyone seems to manage. If you're going to work cash jobs, make sure you provide those to the taxman. Full-time work is often paid monthly, but most other gigs pay bi-weekly. The hours are easy to work around my studies, and I make about 1000 AUD fortnightly.
Dislikes (Internships): There is a support system for internships, but they will only help you with resumes and cover letters, nothing more. You can do an internship, but you have to find it yourself. Also, if you want units for that internship, then it has to be unpaid. Paid internships are considered in your working hours.
Reviewed on 2 Jul 2025Read more
View All 2 Reviews
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at University of Adelaide
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Master of Data Science at University of Adelaide Contact Information
Master of Data Science
at University of Adelaide
Address
The University of Adelaide
Adelaide, South Australia
5005 Australia
Adelaide ( South Australia)
Phone
Go to College Website ->