卡內(nèi)基美隆大學(xué)

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.

CRICOS code for 12-month and 21-month tracks: A and B

The MSPPM (Digital Transformation and Analytics Specialisation) is particularly suitable for:

Public managers working at senior levels in service delivery agencies, particularly health, social welfare, infrastructure provision, education, energy and resource development
Policy analysts working in central agencies responsible for developing and analysing cross-government policy solutions
Public managers working in service delivery roles such as asset management, IT development and data processing
Private sector consultants to government on public policy generally and modes of service delivery in particular
Managers in private sector organisations with significant interfaces with government
University graduates with relevant backgrounds and quantitative skills

Students studying the Digital Transformation and Analytics Specialisation graduate with a Master of Science in Public Policy and Management (MSPPM) with a specialisation in Digital Transformation and Analytics.

Learning outcomes

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.

Degree Structure
12-Month Track

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.

21-Month 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.