Eligibility Requirements for Deakin MSc in Data Science
Academic Requirements
English Requirements
General requirements
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
60/100
Bachelor's GPA Requirement
3 years degree
UG Requirement
Deakin MSc in Data Science Rankings
Deakin MSc in Data Science Program Description
Master of Data Science from Deakin University prepares students for professional employment across all sectors.
The sheer volume and complexity of data already at the fingertips of businesses and research organisations gives rise to challenges that must be solved by tomorrow's graduates and modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions.
Throughout your studies you'll gain the technical skills to harness the power of data through artificial intelligence and machine learning to develop innovative solutions to the important challenges being faced by industry and governments.
Career
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.
Program URL:https://aeccglobal.com/australia/deakin-university
Deakin MSc in Data Science Program Curriculum
Cloud Computing and Big Data: This elective covers the fundamentals of cloud computing, big data management, and data analytics in cloud environments.
Data Mining and Visualisation: This elective focuses on the principles of data mining and data visualisation techniques for exploring and analysing large datasets.
Business Analytics: This elective provides students with the knowledge and skills to apply analytics in business contexts, including data mining, predictive modelling, and visualisation.
Data Science Ethics and Privacy: This elective explores the ethical and privacy considerations in data science, including issues around data security, privacy, and responsible data use.
Text Analytics: This elective focuses on the use of natural language processing techniques for text analytics, including sentiment analysis, topic modelling, and text classification.
Core Courses
Courses include:
- Real World Analytics
- Analytics for Security and Privacy
- Research and Development in Information Technology
- Machine Learning
- Statistical Data Analysis
- Modern Data Science
- Descriptive Analytics and Visualisation
Specialization
- Data Science & Big Data
- Artificial Intelligence
- Machine Learning
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Companies Recruiting Deakin MSc in Data Science Graduates
ANZ: ANZ is one of Australia's largest banking and financial services companies, and has a strong focus on using data analytics to drive business decisions. Graduates with a Master of Data Science from Deakin University may find opportunities to work in areas such as risk management, customer analytics, and marketing analytics.
Deloitte: Deloitte is a leading professional services firm that provides a range of services, including data analytics and consulting. Graduates with a Master of Data Science from Deakin University may find opportunities to work in areas such as data strategy, data governance, and data architecture.
Telstra: Telstra is Australia's largest telecommunications company, and has a strong focus on using data analytics to drive innovation and improve customer experience. Graduates with a Master of Data Science from Deakin University may find opportunities to work in areas such as customer analytics, network analytics, and digital analytics.
KPMG: KPMG is a global professional services firm that provides a range of services, including data analytics and consulting. Graduates with a Master of Data Science from Deakin University may find opportunities to work in areas such as data strategy, data governance, and data architecture.
Scholarships available for International Students
- Rotary Peace Fellowships
- Monash MBA International Excellence in Leadership Scholarships in Australia
- Melbourne business School scholarships