Data Science
Master of Data Science
Learning Mode
Full Time
Duration
2 Years
Start date
Semester 1 (February), Semester 2 (July)
Qualification
Master of Data Science
Fees
$39,300
Location
Bruce (Canberra), ACT
About the Course
The Master of Data Science at the University of Canberra offers a comprehensive and applied education in the rapidly expanding field of data analytics and intelligence. This program is designed for graduates from diverse backgrounds seeking to develop expertise in extracting insights from complex datasets, building predictive models, and informing strategic decision-making. You will gain advanced skills in programming (e.g., Python/R), statistics, machine learning, data Visualisation, and big data technologies, preparing you to tackle real-world challenges across various industries.
Career prospects
Graduates of the Master of Data Science program are highly sought after across a multitude of industries where data is central to decision-making, including government, finance, technology, healthcare, and research. The program prepares students for specialized roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer, and Research Analyst. Our strong emphasis on practical application and industry-relevant projects ensures graduates are well-equipped to drive innovation and provide critical insights.
Why choose University of Canberra for a Master of Data Science?
Industry Connected
Strong government and industry links provide internships, real-world projects, and networking with top data professionals.
Global Opportunities
Globally recognised program equips students for international data roles, focusing on trends and ethical practice.
Professional Accreditation
Industry-informed curriculum prepares graduates for leading certifications and evolving roles in global data science sectors.
Course Overview
The Master of Data Science program at the University of Canberra provides a rigorous and practical education for aspiring data professionals. The curriculum integrates core statistical and computational principles with specialized applications in machine learning, big data, and business intelligence. Students will learn to effectively collect, clean, analyze, interpret, and visualize large and complex datasets to extract meaningful insights and support strategic decision-making. The program emphasizes hands-on software tools, real-world case studies, and a culminating capstone project, fostering deep analytical and problem-solving skills.
Course Duration
Length of the course
- 2 years full-time
Mode of Study for international students:
- Full-time (on-campus)
Course Curriculum
The Master of Data Science curriculum is structured to provide comprehensive theoretical knowledge and practical skills, often culminating in a significant project.
- Foundational Data Science:
- Statistical Methods for Data Science, Programming for Data Science (e.g., Python), Data Wrangling and Management, Data Visualisation.
- Advanced Analytics & Machine Learning:
- Machine Learning Algorithms, Big Data Technologies, Predictive Analytics, Text Analytics.
- Specialization & Electives:
- Options may include Business Intelligence, Ethical AI, Geospatial Data Analysis, or other advanced topics.
- Capstone Project:
- An independent project or a significant applied project where students leverage their data science skills to solve a real-world problem, often with industry data.
Admission Requirements
- Academic qualifications
- A Bachelor’s degree from a recognized university in a quantitative discipline (e.g., mathematics, statistics, computer science, engineering, IT, economics, business analytics), OR a Bachelor’s degree in any discipline with relevant quantitative coursework and/or professional experience.
- A strong academic record, typically with a minimum GPA of 4.0 on a 7-point scale (or equivalent).
- Prior knowledge
- Demonstrated foundational knowledge in mathematics, statistics, and/or programming is expected.
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:
- $39,300
Scholarships and Bursaries:
- The University of Canberra offers various postgraduate scholarships, including those for academic excellence and for international students, particularly in STEM fields. These opportunities can assist with tuition fees and living expenses. Prospective students are encouraged to explore the University of Canberra 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 data analysis and interpretation are critical. Potential job roles include Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer, Data Modeler, Predictive Modeler, and Research Analyst. Industries employing our graduates span government, consulting, finance, technology, healthcare, retail, scientific research, and any sector leveraging large datasets for decision-making.
Contact Us
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