
Deakin University, Melbourne

Victoria
,Australia

Program Name
Master's in Data Science (Professional)
Overview

Embarking on a journey through the Master's in Data Science (Professional) program at Deakin University, Melbourne opens the door to a world of opportunities in the rapidly evolving field of data analytics and business intelligence. This program is meticulously designed to equip students with the essential skills and knowledge required to thrive in diverse tech-related careers. With a curriculum that interlaces theory and practical application, students will delve into significant topics such as machine learning, data engineering, and statistical analysis, preparing them for a successful future in data science.
The Master's in Data Science (Professional) runs over a span of 24 months, offering an extensive and rigorous educational experience. The courses are crafted to address the needs of contemporary data-driven industries, ensuring students acquire a robust understanding of applied statistics, database systems, and practical machine learning. During the program, learners will engage with hands-on projects and real-world problem-solving scenarios, which not only enhance their analytical abilities but also foster their skills in critical thinking and decision-making.
At the heart of this program is a faculty of experienced professionals and academics who bring a wealth of knowledge to the classroom. The faculty members at Deakin University are renowned for their expertise in various domains of data science, and their teaching methodology emphasizes interactive learning and collaboration. Students will have the opportunity to engage in discussions, workshops, and collaborative projects, which promote a rich learning environment that values diverse perspectives and innovative ideas.
Moreover, the Master's in Data Science (Professional) program offers numerous research opportunities, allowing students to explore their interests deeply. With access to innovative resources, state-of-the-art laboratories, and research centers, students can conduct impactful research that contributes to the field of data science. These opportunities not only enrich the academic experience but also enhance students’ resumes, making them attractive candidates in the job market post-graduation.
Deakin University has cultivated strong connections with industry leaders and organizations, which translates into valuable internship opportunities for students enrolled in the program. Internships are a vital component of the curriculum, enabling students to apply their theoretical knowledge in real-world settings. By collaborating with industry professionals, students gain insights into best practices and the latest trends in data science, enhancing their employability upon completion of their degree.
Program Curriculum and Specific Courses
The curriculum for the Master's in Data Science (Professional) at Deakin University is meticulously structured to cover a variety of subjects that are fundamental to understanding data science. Key subjects in the program include:
- Applied Statistics
- Database Systems and Data Preparation
- Practical Machine Learning
- Data Structures and Algorithms
- Software Engineering Principles
- Artificial Intelligence Techniques
- Business Intelligence and Analytics
These subjects are complemented by hands-on projects and a final capstone project, allowing students to demonstrate their understanding and expertise in a practical context. The curriculum is designed to be adaptable, ensuring that students can tailor their learning experiences to align with their career aspirations and interests.
Research Opportunities and Resources
Deakin University is dedicated to fostering a robust research culture, providing students with ample opportunities to engage in innovative research projects. The university's state-of-the-art facilities are equipped with the latest technologies and tools, allowing students to conduct advanced research in data science. Collaboration with faculty members on research initiatives not only enriches the academic experience but also provides students with the practical skills needed in professional environments.
Industry Connections and Internship Possibilities
One of the standout features of the Master's in Data Science (Professional) program is its strong industry connections. This program not only focuses on academic rigor but also emphasizes practical experience, which is facilitated through internships and industry placements. Students are encouraged to take advantage of the university's extensive network to secure internships that align with their career goals, providing them with invaluable hands-on experience in real-world scenarios.
Career Pathways and Job Outcomes
Graduates of the Master's in Data Science (Professional) program at Deakin University are well-positioned for a variety of in-demand job roles in the tech industry. Potential career paths include:
- Data Scientist
- Data Engineer
- Data Analyst
- Business Intelligence Analyst
- Machine Learning Engineer
- Research Scientist
The program's comprehensive approach ensures that graduates are highly employable, with a median base salary of approximately AUD 65,000 and the potential to earn significantly more as they gain experience in the field.
Alumni Success Stories and Testimonials
Many alumni of the Master's in Data Science (Professional) program have gone on to achieve remarkable success in their careers. Former students have secured positions in leading tech companies and have been instrumental in transforming how organizations use data analytics to drive business decisions. Their testimonials often highlight the positive impact of the program on their professional development and readiness for the workforce.
Why Study the Master's in Data Science (Professional) at Deakin University?
- Comprehensive curriculum that covers essential data science concepts and methodologies.
- Access to experienced faculty who are experts in the field.
- Strong industry connections that facilitate internships and job opportunities.
- State-of-the-art facilities and resources for research and learning.
- A supportive and diverse learning community with a focus on collaboration.
In conclusion, pursuing a Master's in Data Science (Professional) at Deakin University, Melbourne presents an exciting opportunity for students to develop critical skills in data analysis, machine learning, and business intelligence. With a well-rounded education that combines theoretical knowledge and practical application, graduates are well-equipped to meet the demands of the evolving job market and to excel in their chosen career paths.

Duration
24 Months

Median Salary
$65,000
Ranking
#218
US World and News Report
#251
The World University Rankings
Class Profile

Class Size
25

Average Age
28

Average Work Experience
3 Years
Diversity
Africa:
1%Others:
1%North America:
2%South America:
1%Asia:
10%Europe:
5%Australia:
80%Career Outcomes

Median Earnings After Graduation
$65,000 / year
Prospective Job Roles
Statistician
Data Engineer
Data Visualization Specialist
Software Engineer
Research Scientist
Business Intelligence Analyst
Data Analyst
Quantitative Analyst
Data Scientist
Machine Learning Engineer
Top recruiters









Eligibility Criteria
English Proficiency Tests
TOEFL
79
PTE
58
IELTS
6.5
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
Personal Statement
Academic LOR
Resume
Application Deadlines
Fees and Funding

Tuition Fees
$37,600 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
FAQs
A student can complete Data Science (Professional) at Deakin University, Melbourne with in 24.
The application fee to pursue Data Science (Professional) at Deakin University, Melbourne is AUD 55 for international students.
The annual tuition fee to pursue Data Science (Professional) at Deakin University, Melbourne is AUD 37600.
The submission of these scores mainly depends on the type of degree/ course selected at the Deakin 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 Deakin University, Melbourne requirements before submitting a score.
Data Science (Professional) 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 Deakin University, Melbourne, they can easily pursue Data Science (Professional). 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 Deakin 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 Deakin University, Melbourne website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at Deakin 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.
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