The Master of Data Science prepares you to understand the various origins of data to be used for analysis, combined with methods to manage, organise and manipulate data within regulatory, ethical and security constraints. You will develop specialised skills in categorising and transferring raw data into meaningful information for the benefit of prediction and robust decision-making.

As a graduate, your knowledge, skills and competencies in modern data science and statistical analysis will be highly valued by employers seeking greater efficiencies and competitive advantage through data insights.

Through the Master of Data Science you can choose to undertake an industry placement or internship as part of your degree. Industry placements provide you with an opportunity to develop the practical and job-ready skills employers are looking for and enable you to build professional networks before graduating.

To complete the Master of Data Science, students must attain 8, 12 or 16 credit points, depending on your prior experience. Most students choose to study 4 units per trimester, and usually undertake two trimesters each year.

The course is structured in four parts:

• Part A: Foundation Information Technology Studies (4 credit points)
• Part B: Fundamental Data Analytics Studies (4 credit points),
• Part C: Core Data Science Studies (4 credit points), and
• Part D: Mastery Data Science Studies (4 credit points), plus
• Completion of DAI001* Academic Integrity Module (0-credit point compulsory unit)

Depending upon prior qualifications and/or experience, you may receive credit for Foundation Information Technology and/or Fundamental Data Analytics Studies.

Note that if you are eligible for credit for prior studies you may elect not to receive the credit.

Graduates of this course may find careers as data analysts, data scientists, analytics programmers, analytics managers, analytics consultants, business analysts, management advisors, management analysts, business advisors and strategists, marketing managers, market research analysts and marketing specialists.

Professional recognition

The Master of Data Science is professionally accredited with the Australian Computer Society (ACS).

1 year full time (2 years part time) – 8 credit points Admission is based on: Bachelor’s degree in a related discipline and two years relevant work experience OR Bachelor’s degree in a rel

IELTS - Overall 6.5 No band lower than 6

TOEFL IBT - 79 Writing 21

TOEFL PBT - 577 Writing 4.5

C1 PROFICIENCY and C2 PROFICIENCY- 176 No band less than 169

PTE - 58 No less than 50 in each skill

OET - Overall C+