Master's Degree Mathematics Full Time

Master of Data Science (Professional)

at James Cook University · Townsville, Queensland

CRICOS course code

102256E

CRICOS provider code

00117J

This course is registered on the Commonwealth Register of Institutions and Courses for Overseas Students. Verify it yourself at cricos.education.gov.au before paying any fee.

Duration

2 years

Tuition (whole course)

A$78,266 total

Per year

A$39,133/yr

Intake

Semester 1 (Feb/Mar), Semester 2 (Jul)

About this program

The Master of Data Science (Professional) at James Cook University in Townsville is a specialised two-year postgraduate programme designed to equip students with substantial expertise in mathematics, statistical modelling, and advanced data analytics. The course curriculum is developed in consultation with industry partners, ensuring graduates possess the technical and practical skills most in demand in the rapidly evolving field of data science. Key topics typically include data mining, machine learning, big data management, programming, and data visualisation, integrating the foundations of mathematics and broader applications to business, science, and industry.

Australian master's degrees like this are structured around units of study, each carrying a set number of credit points contributing toward the total requirement for graduation. Over two years of full-time study, students complete a prescribed program of core and elective subjects. A signature feature of this course is a professional placement or authentic project experience, allowing students to apply their skills in real-world settings, tackle industry-relevant problems, and build networks with Australian employers.

Graduates develop strong mathematical reasoning, advanced proficiency in data manipulation tools and programming languages, and the ability to derive actionable insights from complex datasets. You'll refine your communication skills to explain quantitative findings to stakeholders, and gain the knowledge necessary to lead data-driven decision making across diverse sectors. This programme is well suited to graduates from STEM backgrounds, professionals seeking to upskill, or those looking to launch or pivot a career into data science roles.

James Cook University maintains close links with leading Australian technology, healthcare, resources, and environmental organisations. Graduates are eligible for the Temporary Graduate visa (subclass 485) post-study work stream, and international students can work up to 48 hours per fortnight while studying. Confirm admission requirements and course structure on the official page.

Entry requirements

English: International applicants must evidence English proficiency. IELTS Academic 6.0–6.5 overall is the common undergraduate and coursework-postgraduate standard, rising to 7.0–7.5 for teaching, nursing, medicine, law and social work. TOEFL iBT, PTE Academic, Cambridge C1 Advanced and the university’s own English programmes are accepted as equivalents; the Department of Home Affairs sets a separate English threshold for the Student visa itself.
International students: Registered on CRICOS for international students. A Confirmation of Enrolment (CoE) for this course supports a Student visa (subclass 500) application; Overseas Student Health Cover is required for the full duration.

Career outcomes

  • Data Scientist in the technology, health, and resources sectors
  • Business Intelligence Analyst
  • Machine Learning Engineer
  • Analytics Consultant for government or enterprise
  • Database and Big Data Specialist in Australian industry
  • Data Engineer for scientific and environmental agencies

Frequently asked questions

How long is the Master of Data Science (Professional) at James Cook University?

It typically takes 2 years, with intakes in Semester 1 (Feb/Mar), Semester 2 (Jul).

How much is the tuition?

Tuition is around A$78,266 total. Fees change yearly — confirm with an advisor.

What are the career outcomes?

Data Scientist in the technology, health, and resources sectorsBusiness Intelligence AnalystMachine Learning EngineerAnalytics Consultant for government or enterpriseDatabase and Big Data Specialist in Australian industryData Engineer for scientific and environmental agencies

Guides for this subject and the application

All guides →

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