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Master of Science Specialisation Applied Data Science (MSCN)

Study Mode
  • On-campus
  • External

  • Semester 1 (February)
  • Semester 2 (July)

Number of Units
  • 16 units

  • 2 year/s or part-time equivalent

  • Toowoomba

View USQ Handbook
Program Information Set

Data Science skills in high demand

Strengthen your career with USQ’s Master of Science (Applied Data Science) in the progressive field of Data Science aka ‘Big Data’.  Large organisations have always been data-driven.   What has changed dramatically is the sheer amount of raw data now generated.   Data Science focuses on understanding and overcoming the challenges associated with collecting, analysing, interpreting and visualising large amounts of data.  Data Science helps organisations extract new insights from raw data; insights which inform the development of new products and new businesses in our increasingly data reliant world.

Why study Data Science at USQ?

In this unique masters degree, you will be able to incorporate four courses from a chosen discipline and work on a discipline-based research project to complement your big data technology training.  The structure is unique, preparing you with application based big data analytical skills, which are highly sought by employers.  You will have the opportunity to decide between two different pathways of study in your masters degree:

  • Research Project track — the Research Project track equips you with research skills and allows you to develop a research thesis through a project in your chosen disciplinary application area.
  • Research Training track — the Research Training track allows you to develop your research capability and gain specialised cognitive and technical skills to prepare for a professional career in science.

Further study

Upon successful completion of the Master of Science (Applied Data Science), students have the opportunity to move into PhD study.

Data scientists are highly sought after, and the data scientist career path is projected to increase further as organisations collect more information, but do not have people with the necessary skills to make sense of it all. This Masters provides an ideal professional development opportunity for qualified graduates who wish to advance in their existing career or begin a new one in the area of Big Data.

Courses to be studied Units
10 x core courses 10
2-4 x research courses 6
Total 16

Refer to the USQ Handbook for courses to be studied and recommended enrolment patterns.

How much will it cost?

Approximate annual costs1 for your first year of study (8 units) in this program are:

Study Mode Cost
Commonwealth supported AUD 9527
Domestic full fee paying AUD 26880

Loan to help you pay your fees

You may not have to pay your course (subject) fees upfront. HECS-HELP and FEE-HELP allows you to defer your fees until your income reaches a certain level.

You may also be eligible to receive financial support from Centrelink.

Scholarships and financial assistance

You may be able to apply for scholarships to help with your study costs.

1 These are indicative annual fees for 2020 and costs will vary depending on the actual courses selected during your study. Fees may also vary from year to year as they are reviewed annually.

Entry Requirements

Introductory knowledge of computing consistent with that found in CSC1401 Foundation Programming is also recommended.

English Language Requirements

You are required to satisfy the applicable English language requirements. This program requires a minimum of IELTS 6.5 or equivalent.

If you do not meet the English language requirements you may apply to study a University-approved English language program.

How to apply

To apply for this degree:

Mode Codes
External MSCN07
Toowoomba MSCN01

Closing dates

Applying directly to USQ:

  • Semester 1, 2020 - applications close Friday 6 March, with semester 1 commencing on Monday 24 February 2020.
  • Semester 2, 2020 - applications close Friday 24 July, with semester 2 commencing on Monday 13 July 2020.

Recognition of prior learning or work experience

You may be eligible for recognition of prior learning if you have previously studied or have relevant work experience. This will help to reduce the number of courses that you need to study to finish your program.