Science
Master of Data Science
Learning Mode
Full Time
Duration
2 Years
Start date
Semester 1 (March), Semester 2 (July)
Qualification
Master of Data Science
Fees
AUD 41,400
Location
Berwick (Melbourne), VIC
About the Course
The Master of Data Science at Federation University offers a cutting-edge postgraduate program designed for graduates seeking to master the skills required to extract insights and drive value from complex datasets. This program provides in-depth knowledge and practical expertise in statistical modelling, machine learning, big data technologies, data Visualisation, and ethical data handling. You will learn to apply advanced analytical techniques to real-world problems across various industries, preparing you to interpret data, build predictive models, and inform strategic decisions in a data-driven world.
Career prospects
Graduates of the Master of Data Science program are highly sought after across diverse industries, including technology, finance, healthcare, retail, manufacturing, and government, both in Australia and internationally. The program prepares students for specialized roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Developer, Data Engineer, and Quantitative Analyst. Our strong emphasis on practical application, industry-standard tools, and real-world case studies ensures graduates are well-equipped for impactful and evolving careers in data science.
Why choose Federation University for a Master of Data Science?
Industry connected
Collaborations with data-driven organizations offer industry projects, expert lectures, and networking, keeping graduates job-ready and curriculum industry-relevant.
Global opportunities
Globally recognized degree prepares students for advanced careers, covering international trends in AI, big data, and analytics.
Professional accreditation
Curriculum meets evolving industry standards and aligns with ACS competencies, enhancing graduate credibility and career growth in data science.
Course Overview
The Master of Data Science program at Federation University provides a rigorous and practical education for aspiring data professionals. The curriculum integrates advanced statistical concepts, computational methods, and machine learning techniques, with a strong focus on their application to real-world datasets. Students will gain expertise in data collection, cleaning, analysis, interpretation, and communication of insights using industry-standard software and programming languages (e.g., Python, R). The program emphasizes hands-on projects, critical thinking, and ethical considerations in data analysis, fostering a deep understanding of how data can drive innovation and decision-making.
Course Duration
Length of the course
- 2 years full-time
- Part-time options available, offering flexibility for working professionals.
Mode of Study for international students:
- Full-time (on-campus)
Course Curriculum
The Master of Data Science curriculum is structured to provide a comprehensive understanding of data science principles and their advanced applications, often culminating in a capstone project.
- Foundational Data Science & Statistics:
- Statistical Methods for Data Science, Programming for Data Science (e.g., Python, R), Database Systems, Data Visualisation.
- Machine Learning & Big Data:
- Machine Learning Principles and Applications, Big Data Technologies (e.g., Hadoop, Spark), Deep Learning Concepts.
- Specialised Topics & Ethics:
- Data Mining, Natural Language Processing, Ethical AI and Data Governance, Cloud Computing for Data Science.
- Capstone Project:
- A substantial individual or group project where students apply their data science skills to solve a real-world problem, often involving large datasets and complex analytical challenges.
Admission Requirements
- Academic qualifications
- A Bachelor’s degree from a recognized university in a quantitative discipline (e.g., Computer Science, Information Technology, Statistics, Mathematics, Engineering, Science, Economics, Business Analytics).
- A strong academic record, typically with a credit average (65% or equivalent) or higher.
- Applicants with a Bachelor’s degree in a non-quantitative field may be considered if they have sufficient relevant quantitative coursework and/or professional experience in a data-related role, potentially requiring a bridging course.
Language Proficiency
- English language requirements (e.g., IELTS, TOEFL)
- For international students, demonstrated English language proficiency is required. Acceptable tests include IELTS (Academic) with a minimum overall score of 6.5 (with no band less than 6.0), or TOEFL iBT with a minimum overall score of 79 (with a minimum of 18 in reading and writing, and 16 in listening and speaking).
Fees and Funding
Tuition Fees:
- Annual Fees: AUD 41,400
Scholarships and Bursaries:
- Federation University offers various postgraduate scholarships, including those for academic excellence and for international students, particularly in STEM and IT fields. These opportunities can assist with tuition fees and living expenses. Prospective students are encouraged to explore the Federation University scholarships website for detailed information and application processes.
Career Opportunities
Graduates of the Master of Data Science program are highly sought after for specialized roles where advanced data analysis and machine learning are crucial. Potential job roles include Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Developer, Data Engineer, Artificial Intelligence Specialist, Quantitative Analyst, and roles in research and development. Industries employing our graduates span technology companies, financial services, healthcare, retail, manufacturing, marketing, government, and any sector leveraging big data for competitive advantage.
Contact Us
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