Course code: #M1220
|Term start& deadline||Deadline|
Prepare for the workforce across a range of sectors.
Whether a graduate with an information technology degree or another discipline, this course will give you the technical skills to harness innovative solutions to industry challenges.
You’ll gain knowledge and skills in AI(Artificial Intelligence) and data science and learn about emerging and future technologies, machine learning and AI techniques, data and business analysis, and data mining.
With a growing demand for AI and data specialists, having a unique skill set in data-driven AI modellings and data analytics will give you the competitive advantage needed to succeed in the future workplace.
3 reasons to study Artificial Intelligence and Data Science at Murdoch
|Cost of living||1 person||$10,620|
|Accommodation||1 bed room||$7,700|
Suppose you do not currently meet Murdoch's minimum English or academic requirements. In that case, the university has a range of options available through the following partner institutions that can help you meet the admission requirements and get you into a Murdoch degree:
Phoenix Academy is one of Murdoch University’s Preferred Pathway Partners to offer both English and Academic programs.
Upon completing all AEP course requirements, you are eligible for direct entry at either an undergraduate or postgraduate course with no IELTS test required at Murdoch University (some course exclusions may apply).
International students can also use the internet-based Phoenix English Proficiency Test (iPEPT) for direct entry into Murdoch's courses for all 2022 intakes and 2023 Trimester 1, Trimester 2 and Semester 1 intakes.
PHOENIX CLASS LEVEL COMPARISON TABLE
|Class Description||CEFR*||iPEPT* Level||Expected progress|
approx. TOFEL Band Score Equivalent
|approx. IELTS Band Score Equivalent||Recommended Entry Point for further study|
|Pre-Intermediate A||Social||A2||30%||6-10 wks||30-40||3|
|Pre-Intermediate B||A2+||35%||6-10 wks||3.5|
|Intermediate A||Vocational||B1||40%||6-10 wks||41-52||4|
|Intermediate B||B1+||50%||6-10 wks||61||5|
|Pre-Advanced/ Express English||B2+||60%||6-10 wks||79-80||6|
Bachelor Degree; Cambridge C AE; Internship; Postgraduate Coursework
*exceptions are Bachelorof Law, Bachelorof Nursing, Veterinary Science, Bachelor of Education
|Advanced A||Technical||Cl||65%||6-10 wks||88-89||6.5||Postgraduate Research|
|Advanced B||Cl+||70%||6-10 wks||92-93||7||CELTA|
|Expert A||Expert||C2||75%||6-10 wks||96 -110||7.5+||DELTA, TAE|
|Expert B||C2+||80%||6-10 wks||111-120||7.5+|
Recognised non-Australian Computer Science accredited Bachelor's degree in IT (AQF Level 7);
Recognised non-IT Bachelor's degree (AQF Level 7) plus an approved qualification in IT (AQF Level 8);
Recognised non-IT Honours degree (AQF Level 8) plus five or more years of relevant experience.
Recognition of relevant and current informal or non-formal learning may be used for entry requirements and should be discussed with the Academic Chair.
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