Master of Science in Public Policy and Management (Digital Transformation and Analytics Specialisation) 12-Month / 21-Month Track

Is it possible to anticipate the consumer reaction to new modes of delivery of health services? Can forecasting of emergency events be made more reliably? How much use will be made of new public infrastructure? Can predictive models be relied upon for early intervention in family services?

Welcome to the future of public policy practice, a future where long-standing techniques of policy analysis meet the power of big data and new capabilities in policy analytics.

Carnegie Mellon University in Australia has designed a new program that combines its rigorous public policy syllabus with its leading-edge courses in information technology and management.

The availability of massive data sets and of new capabilities for analysing that data will change the face of public policy formulation and analysis. The winners will be the professionals capable of understanding the generation of big data, its potential and limitations and how to utilise it. These professionals will be capable of using this data to generate evidence-based and predictive policy options; know how to communicate those options; and be able to implement and evaluate them.

(CRICOS: 056767A/056555B)

Students who complete this course will be able to:

• Apply analytical techniques to assessing public policy initiatives
• Use the tools available to public managers for assembling and processing data
• Develop evidenced-based policy options using big data sets
• Communicate the outcomes of that analysis to both experts and lay people
• Apply concepts of commercial analysis to public policy problems
• Understand and use concepts of public value in managing policy implementation
• Use established techniques of public finance management to program costing and evaluation.

Detailed information on MSPPM students Internships and Career outcomes can be found at:

• Internships
• Careers

The program comprises 180 units*: 138 units of core courses and 42 units of digital transformation and analytics courses.

Full-time students complete the program over three study periods (12 months). Part-time students have up to five years to complete their program, however most complete the program in two to three years.

For successful completion, you must complete the requisite coursework and achieve a cumulative quality point average (QPA) of at least 3.0.

*Please note this is above the minimum units required for the normal 12-month MSPPM track.

The program comprises 198 units: 138 units of core courses, 42 units of digital transformation and analytics courses, 18 units of elective courses and 400 hours (approximately 10 - 12 weeks) of internship.

Full-time students complete the program over five study periods (21 months).

For successful completion, you must complete the requisite coursework and internship components and achieve a cumulative quality point average (QPA) of at least 3.0.