Master of Data Science

University of New England (UNE)

Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00003G

The Master of Data Science will provide students with the required knowledge and practical skills to analyse and manage data. They will learn how to deal with large and diverse data sets and apply a variety of technologies to extract meaning from them. This course will prepare students to solve complex and challenging problems in science, health, business and beyond, through a combination of engaging coursework subjects and a comprehensive capstone project experience.

Structure

Students complete 96 credit points (equivalent to 16 standard units). A student's program of study and credit points for completion are determined by the qualification used as the basis for admission.

Subjects

  • Introduction to Programming and the UNIX Environment
  • Data Management Systems
  • Management Information Systems
  • Software Project Management
  • Artificial Intelligence
  • Algorithms in Machine Learning
  • Calculus and Linear Algebra 1
  • Introduction to Scientific Programming
  • plus more

Standard entry requirements

  • Either a Bachelor qualification in a relevant or non-relevant discipline
  • Or a Graduate Certificate, Graduate Diploma, Bachelor with Honours or Masters qualification in a relevant discipline. Relevant disciplines include: Computer science, Data science, Information systems, Information Technology, Mathematics, Software engineering, Statistics.

Recognition

The Master of Data Science has been granted Professional Level accreditation by the Australian Computer Society and, through the Seoul Accord, is recognised in other countries.

Study information

Campus Fees Mid year intake Attendance
UNE Armidale (main campus) International: $58,800 Yes No information available

Related courses

Browse more courses
Is the information on this page correct? Request update
Sign up to our newsletter for the latest scholarships and education news
You must agree before submitting.

Subscribe to our newsletter

Join the conversation