Program start date | Application deadline |
2024-03-01 | - |
2024-07-01 | - |
2024-11-01 | - |
Program Overview
The Master of Data Science program equips students with the technical skills and knowledge to harness the power of data through artificial intelligence and machine learning. It provides a comprehensive foundation in data analytics, machine learning, and statistical analysis, preparing graduates for careers as data analysts, data scientists, and other data-driven professionals. The program offers flexible study options, including full-time, part-time, and online delivery, and features industry guest speakers and dedicated data science labs.
Program Outline
Degree Overview:
Master of Data Science
Become a data specialist capable of using data to form insights, support decision making and create a competitive advantage the business world.
Objectives:
- Develop the technical skills to harness the power of data through artificial intelligence and machine learning.
- Use insights to develop innovative solutions to challenges facing industry and governments.
- Gain knowledge, skills, and competencies in modern data science and statistical analysis.
Outline:
- Duration: 1-2 years (full-time) or part-time equivalent.
- Location: Burwood (Melbourne) or online.
- Structure: 8, 12, or 16 credit points, depending on prior experience.
- Course Schedule: Most students choose to study 4 units per trimester, typically undertaking two trimesters each year.
- Modules:
Part A: Foundation Information Technology Studies (4 credit points)
- Object-Oriented Development
- Database Fundamentals
- Software Requirements Analysis and Modeling
- Web Technologies and Development
Part B: Fundamental Data Analytics Studies (4 credit points)
- Real World Analytics
- Data Wrangling
- Mathematics for Artificial Intelligence
- Level 7 SIT or MIS elective
Part C: Core Data Science Studies (4 credit points)
- Machine Learning
- Statistical Data Analysis
- Modern Data Science
- Professional Practice in Information Technology
Part D: Mastery Data Science Studies (4 credit points)
- Bayesian Learning and Graphical Models
- Deep Learning
- Team Project (A) - Project Management and Practices
- Team Project (B) - Execution and Delivery
Assessment:
- Unit assessment (e.g., assignments, exams, presentations)
- Group projects
- Research projects
- Portfolio development
Teaching:
- Lectures
- Tutorials
- Practical workshops
- Online learning modules
- Industry guest speakers
- Access to dedicated data science labs
Careers:
- Data Analyst
- Data Scientist
- Analytics Programmer
- Analytics Manager
- Analytics Consultant
- Business Analyst
- Management Advisor
- Management Analyst
- Business Advisor/Strategist
- Marketing Manager
- Market Research Analyst
- Marketing Specialist
Deakin University
Overview:
Deakin University is a public university in Victoria, Australia. It is known for its high student satisfaction rates, particularly in educational experience, and is ranked among the top 1% of universities worldwide. Deakin offers a wide range of undergraduate and postgraduate programs, as well as research degrees and PhDs.
Services Offered:
Deakin provides a comprehensive range of services to its students, including:
Study Options:
Flexible study options, including online learning, overseas study, and workplace learning.Support Services:
Study support, career planning, and student wellbeing services.Access Programs:
Deakin Guaranteed ATAR, Special Entry Access Scheme, Deakin Regional Access Scheme, Regional and Remote Entry Scheme, Rural Training Stream, and Indigenous Student Pathways.Fees and Scholarships:
Information on fees and costs, government HELP schemes, and scholarships.Accommodation:
On-campus accommodation options.Graduation:
Support for graduates, including alumni benefits and resources.Events:
A variety of events for students and the wider community.Student Life and Campus Experience:
Deakin offers a vibrant and supportive campus environment. Students can expect:
Flexible Study Options:
Deakin provides a variety of study options to suit individual needs and preferences.Support Services:
Students have access to a range of support services to help them succeed in their studies and personal lives.Community Engagement:
Deakin encourages students to get involved in the wider community through various initiatives and partnerships.International Campuses:
Deakin has international campuses in West Java, Indonesia and GIFT City, India, offering students a global perspective.Key Reasons to Study There:
High Student Satisfaction:
Deakin consistently ranks highly in student satisfaction surveys, particularly in educational experience.World-Class Research:
Deakin is renowned for its world-class research across various fields.Industry-Shaped Courses:
Deakin's courses are designed with industry input, ensuring graduates are work-ready.Strong Graduate Employment:
Deakin is ranked #2 in Victoria for graduate employment.Sustainable Future:
Deakin is committed to sustainability and has a strong focus on environmental education, research, and climate-ready campuses.Academic Programs:
Deakin offers a wide range of academic programs across various faculties and schools, including:
Arts and Education
Business and Law
Health
Science, Engineering and Built Environment
Deakin is particularly strong in areas such as sport science, education, nursing, and graduate employment.
Other:
Deakin has a strong commitment to reconciliation and supports Aboriginal and Torres Strait Islander students. The university also fosters innovative partnerships with industry, government, and research leaders.
Entry Requirements:
- To be considered for admission to this degree (with 8 credit points of admission credit applied) you will need to meet at least one of the following criteria:
- completion of a bachelor degree (honours) (AQF 8) or higher in a related discipline
- completion of a bachelor degree in a related discipline, and at least two years' of relevant work experience (or part-time equivalent)
- completion of a bachelor degree in a related discipline and Graduate Certificate of Data Analytics or equivalent
- Graduate Certificate of Information Technology and Graduate Certificate of Data Analytics
- To be considered for admission to this degree (with 4 credit points of admission credit applied) you will need to meet at least one of the following criteria:
- completion of a bachelor degree or higher in a related discipline
- completion of a bachelor degree or higher in any discipline, and at least two years' of relevant work experience (or part-time equivalent)
- Graduate Certificate of Information Technology (or equivalent)
- To be considered for admission to this degree (without admission credit applied ) you will need to meet the following criteria:
- completion of a bachelor degree or higher in any discipline
Language Proficiency Requirements:
To meet the English language proficiency requirements of this course, you will need to demonstrate at least one of the following:
- bachelor degree from a recognised English-speaking country
- IELTS overall score of 6.5 (with no band score less than 6.0) or equivalent
- other evidence of English language proficiency