Course Level

Graduate Diploma

CRICOS

096383G

Graduate Diploma in Data Science

Demand for data scientists continues to grow as organizations in industries from science to health to business and beyond seek specialists who can extract meaning and insights from rapidly expanding data streams available in todays workplace. UNEs Graduate Diploma of Data Science will expand your skills so you can solve complex and challenging problems, innovate and gain competitive advantages by building intelligent systems and bringing structure to large and diverse data sets.

Campus
Duration
Fees
ATAR

Online Campus

Online/Off-campus - 1 years

Part-time - 4 years

$23,848
N/A

UNE Armidale (main campus)

Full-time - 1 years

Part-time - 4 years

$23,848
N/A

Structure

48 credit points

Subjects

  • Introduction to Programming and the UNIX Environment (COSC110)
  • Database Management Systems (COSC210)
  • Introduction to Statistical Modelling (STAT100)
  • Statistical Modelling and Experimental Design (STAT410)
  • Computational Mathematics (AMTH250)
  • Data Structures and Algorithms (COSC230)
  • Operating Systems (COSC240)
  • Programming Paradigms (COSC250)
  • Web Programming (COSC260)
  • Software Project Management (COSC510)
  • Parallel and Distributed Computing (COSC530)
  • Computer Networks and Network Security (COSC540)
  • Artificial Intelligence (COSC550)
  • Advanced Web Programming (COSC560)
  • User Experience and Interaction Design (COSC570)
  • Management Information Systems (COSC572)
  • Algorithms in Machine Learning (COSC580)
  • Econometric Analysis of Financial Markets (ECON474)
  • Introduction to GIS and Spatial Thinking (GISC334)
  • Spatial Analysis and Modelling (EM533)
  • Remote Sensing and Image Analysis (GISC436)
  • Genomic Analysis and Bioinformatics (GENE552)
  • Information and Knowledge Management in Healthcare (HSHM543)
  • Precision Agriculture (PA435)
  • Introduction to Scientific Programming (SCI410)
  • Science Research Project (SCI495)
  • Advanced Statistical Modelling (STAT420)
  • Statistical Learning (STAT430)

Entry requirements

  • You can apply for this course if you have completed a Bachelor qualification (AQF Level 7 or overseas equivalent) in any discipline.