Top 10 Master of Data Science Colleges in Australia

Read: Australia as a study abroad destination

Top Universities in Australia for MS in Data Science 

Masters in Data Science in Australia Requirements

There are more than 10 Australian Universities which offer a master's in Data Science. This course is in demand due to its high ROI, with salaries three times better than the national average, the salary is usually AUD 300,000 for those students with degrees in Masters in Data Science from any Australian University. The basic requirements include TOEFL / IELTS scores along with a bachelor's degree. Following is a list of the top 10 universities in Australia offering a program in Master of Data Science.

1. The University of Melbourne

Ranked number one in Australia for Computer Science and Statistics, The University of Melbourne is a top choice for the Master of Data Science program.

• Eligibility: IELTS / TOEFL, Bachelor’s with a minimum of 65%
• Course Duration: 24 months
• Tuition Fee: AUD 40,960 / year
• Courses covered in the program: Professional skills subjects like scientific communication, core computer science subjects and Capstone data science project

2. The University of Sydney

Rated as the ‘Sexiest Job of the 21^st Century by Harvard Business Review, graduates of the Data Science field can work in a variety of sectors including health and retail. Following are the course details for the MS in Data Science programme at the University of Sydney:

• Eligibility: IELTS/TOEFL, Bachelor’s with a minimum of 65%
• Course Duration: 12 months
• 1st Year Tuition Fee: INR 27,40,080
• Courses covered in the program: Includes the latest in data mining, machine learning and data visualization with a focus on developing the skills to communicate data insights to important shareholders

3. RMIT University

Students with a background in Computer Science or Statistics have an edge over others in the Master of Data Science programme at RMIT.

• Eligibility: IELTS/TOEFL
• Course Duration: 24 months (more flexible options available)
• 1st Year Tuition Fee: INR 20,93,645
• Courses covered in the program: The course offers a wide array of learning through lectures, tutorials, practical classes, project work and seminars.

4. Monash University

As data science is still a developing field, besides being hired as a data scientist, graduates can also be employed in titles like data miner, research scientist, data architect, analytics specialist, data engineer, business intelligence analyst/developer, and web analyst. Here is an overview of the MS Date Science programme at Monash University:

• Eligibility: IELTS/TOEFL, Bachelor’s with a minimum of 60%
• Course Duration: 12 months
• 1st Year Tuition Fee: INR 25,10,808
• Courses covered in the program: Covers data analysis, data pre-processing, data science objectives, and visualisation. You are also given the option to select from a variety of data science electives.

5. La Trobe University

Master of Data Science graduates is increasingly becoming key factors contributing to major business decisions. Take a look at the course requirements for Master of Data Science at La Trobe:

• Eligibility: IELTS
• Course Duration: 24 months
• 1st Year Tuition Fee: INR 20,57,856
• Courses covered in the program: Besides studying advanced subjects in computer science, mathematics and statistics, you can also choose from Big data and cloud computing, Analytical science, and Bioinformatics.

6. The University of Adelaide

The Master of Data Science at the University of Adelaide will advance your skills in mathematics, programming along with data science.

• Eligibility: IELTS/TOEFL, Bachelor’s degree with a GPA > 4.5
• Course Duration: 24 months
• 1st Year Tuition Fee: INR 25,16,400
• Courses covered in the program: Includes a specialised introductory IT program in the first semester, and skill-building in mathematics and programming.

7. University of New South Wales

The MS Data Science programme at the University of New South Wales allows you to specialise in machine learning, database systems or statistics.

• Eligibility: IELTS/TOEFL
• Course Duration: 20 months (approx.)
• 1st Year Tuition Fee: INR 25,83,504
• Courses covered in the program: The online learning environment helps with the flexibility of the schedule. It includes nine core courses and three electives – all of which can be completed in two years’ time.

8. Deakin University

The Master of Data Science programme at Deakin University is structured in a way to hone your skills in data organisation, manipulation and analysis.

• Eligibility: IELTS/TOEFL
• Course Duration: 24 months
• 1st Year Tuition Fee: INR 21,02,592
• Courses covered in the program: Fundamental Data Analytics Studies, Introductory Data Science Studies and Mastery Data Science Studies.

9. The University of Queensland

Graduates of Master of Data Science from the University of Queensland will be capable of handling advanced and complex challenges related to data science.

• Eligibility: IELTS/TOEFL, Bachelor’s: GPA > 5
• Course Duration: 24 months
• 1s Year Tuition Fee: INR 25,78,583
• Courses covered in the program: Includes 32 units that consist of modules like Responsible Data Science, Introduction to Software Engineering, Social Media Analytics, Advanced Bioinformatics and Longitudinal & Correlated Data.

10. Swinburne University of Technology

The course is designed to give its students a complete understanding of the data management life cycle while developing skills in state-of-the-art approaches and modern mechanisms. Course details for MS Data Science at Swinburne University of Technology are as follows:

• Eligibility: IELTS/TOEFL
• Course Duration: 24 months
• 1st Year Tuition Fee: INR 20,73,514
• Courses covered in the program: Introduction to Programming and Data Science, Data Management for the Big Data Age, Data Visualisation, Data Science Capstone Project, Forecasting, Internship Project, and Minor Thesis, among others.

The field of Data Science is only going to get bigger and more advanced with time. Hence, now is the time to gain expertise in this new and emerging field and take advantage of the need of the hour. Companies, however big or small, are all wanting to make sense of the data generated every second, every hour, in order to make the right decisions for the future. There is no doubt that graduates from this field are the most sought-after these days and we don’t see that changing any time in the future.

Good luck!

Also read:

• Business Analytics v/s MS in Data Science: Which is better?
• Top Ten Schools for Data Science and Business Analytics Programs In the World