Macquarie University

Bachelor of Information Technology (Data Science)

Nationally Recognised Higher Education

The deluge of data that modern systems generate is transforming business, government, science and healthcare. Data science, which uses specialised computational and statistical techniques to analyse big data and solve challenging problems, is a key skill of the 21st?century.

The Data Science major will equip you with the in-depth programming skills you’ll need to extract usable information from data sources. It emphasises concepts, insights and skills that will enable you to use current technologies and adapt to and create new technologies. You’ll be able to process and analyse data sets, including big data; use mathematical and statistical modelling techniques, machine learning and data mining to solve challenging problems; and communicate your findings to different audiences.

Delivery mode

Macquarie University offers this course through the following delivery modes:

Blended

Combine the flexibility of online learning with the support of on campus learning.

Locations
  • Level 24, 123 Pitt Street (Angel Place), Sydney
  • 4–6 Eastern Road, Macquarie University

Entry requirements

Domestic Students

  • There are no mandated entry requirements.

I’ve recently completed Year 12

If you’re currently undertaking, or have just completed Year 12 studies, and you apply to Macquarie through the Universities Admissions Centre (UAC), you’ll be assessed on your selection rank or through our Academic Entry Program. You might also consider applying for our Macquarie Leaders and Achievers Early Entry Scheme, the Schools Recommendation Scheme, or the Aboriginal and Torres Strait Islander Entry Pathway if you’re eligible.

I have work and life experience

If you’re a non-Year 12 applicant and you don’t hold any formal education qualifications, but you do have informal learning and work experience, you may submit a portfolio for entry into one of our pathway programs, which allow you to articulate into a Macquarie degree after successful completion.

I have TAFE, college, or university qualifications

Macquarie recognises completed TAFE, college, and university qualifications. If you’ve completed a recognised qualification, you may be eligible to apply for Recognition of prior learning (RPL).

Recognition of prior learning (RPL)

If you’ve completed prior study at diploma level or higher, you may be eligible for credit towards your degree.

Your prior learning may consist of:

  • Formal learning (post-secondary study)
  • Informal and non-formal learning (work and life experience).

When applying to study at Macquarie University, you’re required to provide evidence of proficiency in English.

You may satisfy the English language requirements if you’ve completed:

  • Senior secondary studies equivalent to the New South Wales HSC
  • At least one year of full-time Australian or comparable tertiary study in a country of qualification.

The required standard of English for this degree is:

IELTS band Minimum score required
Overall 6.5
Reading 6
Writing 6
Listening 6
Speaking 6
Additional requirements may apply.

Course fees

Estimated Fee* Unavailable $127,800 Fees are based on full-time study.

For more information about this course and payment options please enquire now.

Study mode Blended
Duration 3 Years
Estimated fee* Unavailable $127,800

Career opportunities

The Bachelor of Information Technology (Data Science) will prepare you for the following roles.

About Macquarie University

Macquarie University is recognised globally for its pre-eminence in key research disciplines, as well as for producing graduates who are among the most sought-after professionals in the world.

Uniquely located in the heart of Australia’s largest high-tech precinct, Macquarie brings together more than 44,000 students and 3000 staff in one thriving hub of discovery.

Our campus spans 126 hectares, with open green space that gives our community the freedom to think and grow.

Operating since 1964
Legal name Macquarie University
CRICOS code