Program Overview

Data is a vital asset prized by virtually every organisation worldwide, which is why skilled data scientists are in high and rising demand. Data science is one of the fastest growing – and best paid – professions. Deloitte Access Economics research indicates a data scientist with a postgraduate degree in Australia can expect toearn over $130,000 a year.
 

Streams of data have grown so much in volume and complexity that only specialists can extract the greatest value from them in the modern workplace. Data scientists who can build intelligent systems, master intuitive processes and bring structure to vast quantities of data provide the foundations for evidence-based decision making – unlocking the potential for improvement and competitive advantage.

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  Location

ArmidaleAustralia

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  Course Duration

12 Months

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  Tuition Fee

AU$ 31,600

 Score

IELTS: 6.5

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Rule A or Rule D

Core Units


66 credit points

Complete the following units:

Note: When a unit with the same title is offered at multiple levels you can only complete ONE unit (eg. STAT210 or STAT410).

  • Introduction to Programming and the UNIX Environment (COSC110) – 6 credit points

  • Database Management Systems (COSC210) – 6 credit points

  • Software Project Management (COSC510) – 6 credit points

  • Artificial Intelligence (COSC550) – 6 credit points

  • Management Information Systems (COSC572) – 6 credit points

  • Algorithms in Machine Learning (COSC580) – 6 credit points

  • Calculus and Linear Algebra 1 (MTHS120) – 6 credit points

  • Introduction to Scientific Programming (SCI410) – 6 credit points

  • Introduction to Statistical Modelling (STAT100) – 6 credit points

  • Statistical Modelling and Experimental Design (STAT210) – 6 credit points

  • Statistical Modelling and Experimental Design (STAT410) – 6 credit points

  • Statistical Learning (STAT430) – 6 credit points

A candidate shall:

  • hold an AQF Level 7 Bachelor qualification in a non-relevant discipline; or

  • hold an AQF Level 7 Bachelor qualification in a relevant discipline*; or

  • hold an AQF Level 8 Graduate Certificate or Graduate Diploma or Bachelor with Honours qualification in a relevant discipline*, or

  • for international students, hold an AQF Level 7 Bachelor qualification from an overseas institution in a relevant discipline*.

 

*Relevant disciplines include, but are not limited to:

  • Computer Science

  • Data Science

  • Information Systems

  • Information Technology

  • Mathematics

  • Software Engineering

  • Statistics

 

English Language Requirements


All applicants must meet a minimum of one of the following criteria:

  • English is the applicant's first language; or

  • Satisfactory completion, within five years of the date of application for admission to UNE, of at least one year of full-time or equivalent full-time study at senior secondary, post-secondary or tertiary level in a country in which English is the primary official language or co-official language and in which English was the sole medium of instruction and assessment for the particular period of study claimed; or

  • A pass grade or better in an English language subject at Australian Year 12 level or overseas equivalent; or

  • An International English Language Testing System (IELTS) Academic overall score of at least 6.0 with no sub-band less than 5.5*; or

  • Equivalent Test of English as a Foreign Language (TOEFL) score of at least 213 in the computer-based test or at least 79 in the internet-based test with no less than 22 in the written component*; or

  • A Pearson Test of English (PTE) Academic minimum overall score of 57 with no skill less than 50*

International Fees

$31,600*

Data science is a rapidly growing field with outstanding employment prospects for appropriately qualified professionals. You will be equipped with the skills and knowledge needed to advance your career in positions such as:

  • data scientist

  • business intelligence analyst

  • data engineer or architect

  • data strategist

  • healthcare data manager

  • bioinformatics analyst.

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