Степень магистра
24 months
Application deadlines: 30 June
Processing time: 20 days
Application fee: A$100
Очно
Intakes: March, July
International tuition: A$33,000
Domestic tuition: A$27,200
Обзор программы
Throughout your studies you’ll learn to understand the various origins of data to be used for analysis, combined with methods to manage, organise and manipulate data within regulatory, ethical and security constraints. You’ll develop specialised skills in categorising and transferring raw data into meaningful information for the benefit of prediction and robust decision-making.
As a graduate, your knowledge, skills and competencies in modern data science and statistical analysis will be highly valued by employers seeking greater efficiencies and competitive advantage through data insights.
Варианты обучения

This program can be done
В кампусе
Требования
Экзамены:
- PTE
- TOEFL iBT
- IELTS
- TOEFL PBT
1 year full time (2 years part time) – 8 credit points
Admission is based on:
Bachelor’s Honours (AQF8) degree in a related discipline
Bachelor’s degree in a related discipline, plus two years relevant work experience
Graduate Certificate of Data Science (or equivalent)
Evidence of academic capability judged to be equivalent
1.5 years full time (3 years part time) – 12 credit points
Admissions is based on:
Bachelor’s degree in a related discipline
Bachelor’s degree in any discipline, plus two years relevant work experience
Graduate Certificate of Data Analytics or equivalent
Evidence of academic capability judged to be equivalent
2 years full time (4 years part time) – 16 credit points
Admissions is based on:
Bachelor’s degree or other qualification at a higher AQF level in any discipline
Evidence of academic capability judged to be equivalent
IELTS: minimum score of 6.5, with no subscore less than 6.0 or
Paper-based TOEFL: 577 (Writing 4.5) or
Internet-based (IBT) TOEFL: a score of 70 (with minimum score of 21 in Writing) or
Pearson Test of English (Academic): an overall score of 58 with no score less than 50
Карьерные возможности
Graduates of this course may find careers as data analysts, data scientists, analytics programmers, analytics managers, analytics consultants, business analysts, management advisors, management analysts, business advisors and strategists, marketing managers, market research analysts and marketing specialists.
Местонахождение кампуса
Melbourne
,
Australia




