Name: Master's
Price: 37800 USD

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QS Rank:

362

La Trobe University, Melbourne

Victoria

Australia

Overview

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There are numerous focus areas and types of masters programs one can pursue through higher education at La Trobe University, Melbourne, like machine learning, artificial intelligence, data systems administration, and security. Some education options for an international student in data science at La Trobe University, Melbourne include masters in data science, bachelors in data science, boot camps, and short courses.

Course Level	Post Graduation
Course Duration	12-14 months
Average Tuition Fee	INR 15-60 lakhs per year
Top Job Roles	Data Scientist, Data Analyst, Data Manager, Data Architect, etc.

Earning a master’s in data science can help one achieve a broad skill set that can be applied to numerous tech-related careers, such as data engineering, data architecture, computer programming, etc. As a student in the MS in Data Science degree program at La Trobe University, Melbourne, one can expect to dive into essential concepts in the mentioned areas:

Applied Statistics
Database Systems and Data Preparation
Practical Machine Learning

Subjects Under Masters in Data Science at La Trobe University, Melbourne

The syllabus for the Data Science Postgraduate courses will vary as per the specialisation and university/college chosen by an international student. However, certain MS in Data Science subjects are common for most courses. Apart from the final year projects and internship, the common Data Scientist masters program subjects at La Trobe University, Melbourne are as follows:

Statistics
Coding
Business Intelligence
Data Structures
Mathematics
Algorithm
Programming
Software engineering
Artificial intelligence
Machine learning
Systems architecture

These subjects can be adjusted based on a university curriculum and specialisation.

Scope of MS in Data Science at La Trobe University, Melbourne

Being in the list of the hottest courses, MS in Data Science at La Trobe University, Melbourne offers immense opportunities for students with various intriguing and growth-oriented job roles.

The top job roles in the list include Data Scientist, Data Architect, Enterprise Architect, Data Administrator, Data Analyst, etc.
The top salaried sectors that an international student can explore after pursuing their data scientist masters program at LaTrobe are Media, Fossil Fuels, Petroleum, and Refinery, Education, Investment Banking and Markets, etc.
After pursuing this course at LaTrobe, the Data Scientists have a major contribution to the development and improvement of technology and advancements globally.

Duration

24 Months

Median Salary

$75,000

Ranking

#374

US World and News Report

#362

QS World University Rankings

Class Profile

Class Size

Average Age

Average Work Experience

3 Years

Diversity

Others:

Queensland:

15%

Western Australia:

10%

South Australia:

Tasmania:

New South Wales:

20%

Victoria:

45%

Career Outcomes

Median Earnings After Graduation

$75,000 / year

Prospective Job Roles

Product Manager

Data Engineer

Data Architect

Data Journalist

Researcher

Data Analyst

Data Ethicist

Data Scientist

Business Analyst

Data Policymaker

Data Storyteller

Consultant

Statistician

Research Scientist

Software Engineer

Teacher

Data Visualizer

Entrepreneur

Machine Learning Engineer

Top recruiters

Eligibility Criteria

English Proficiency Tests

IELTS
6.5
PTE
56
TOEFL
79

Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Transcript

Passport
Academic LOR
Resume

Application Deadlines

Fees and Funding

Tuition Fees

$37,800 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The La Trobe University Data Science Scholarship is a fully-funded scholarship that is awarded to students who are studying a Master of Data Science at the university. The scholarship includes tuition fees, living expenses, and a research allowance. To be eligible for the scholarship, students must have a strong academic record and a passion for data science. They must also be able to demonstrate financial need. The scholarship is awarded on a competitive basis.

The Data Science Institute
La Trobe University

FAQs

A student can complete Data Science at La Trobe University, Melbourne with in 24.
The annual tuition fee to pursue Data Science at La Trobe University, Melbourne is AUD 37800.
The submission of these scores mainly depends on the type of degree/ course selected at the La Trobe University, Melbourne. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check La Trobe University, Melbourne requirements before submitting a score.
Data Science can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of La Trobe University, Melbourne, they can easily pursue Data Science. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
An MS degree at La Trobe University, Melbourne can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official La Trobe University, Melbourne website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at La Trobe University, Melbourne by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.