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Students
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Masters
Major
Data Analytics | Data Science
Area of study
Information and Communication Technologies
Course Language
English
Intakes
Program start dateApplication deadline
2024-03-01-
2024-07-01-
2024-11-01-
About Program

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
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About University
PhD
Masters
Bachelors
Diploma
Foundation
Courses

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.

Total programs
341
Average ranking globally
#187
Average ranking in the country
#10
Admission Requirements

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
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