Graduate Certificate in Data Analytics

Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00017B

Data analytics has become one of the highest growth areas of academic and commercial practice. With applications in nearly all aspects of quantitative endeavours and information management, a skillset in analytics, statistical, and machine learning is highly valued and sought after.

Structure

TOTAL CREDIT POINTS : 40

Subjects

• ACSC71-200: Mathematical Statistics (10CP)
• ACSC71-306: Stochastic Processes (10CP)
• ACSC71-307: Survival Analysis (10CP)
• DTSC71-300: Infrastructure for Data Analytics (10CP)
• DTSC71-301: Deep Learning Through Neural Networks (10CP)
• DTSC71-302: Statistical Learning and Regression Models (10CP)
• DTSC71-306: Modern Machine Learning Models (10CP)
• DTSC71-307: Advanced Statistical Learning Models (10CP)
• ECON71-300: Advanced Econometrics (10CP)

Standard entry requirements

Successful completion of a recognised Bachelor degree (or equivalent qualification) in any field.

Study information

Master of Teaching (Early Childhood)

Southern Cross University

Bachelor of Communication (Social and Political Sciences)

University of Technology Sydney (UTS)

Bachelor of Accounting (Pathway to Master of Management)

University of South Australia (UniSA)

Graduate Diploma of Professional Engineering

University of Southern Queensland (UniSQ)

Bachelor of Business

University of Technology Sydney (UTS)

Diploma in Criminology

Australian Catholic University (ACU)