Carnegie Mellon Delivers 3rd Australia Awards Data Analytics Course to Support Philippine Government’s Digital Transformation5th July 2021
Master of Science in Public Policy and Management (Digital Transformation and Analytics Specialisation) 12-Month / 21-Month Track
|Duration||12-month and 21-month tracks|
|Professional Work Experience||Required for 12-month track|
|Internship||Required for 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.
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.
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.
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.
Course requirements for specialisation in Digital Transformation and Analytics
Students wishing to complete a specialization in Digital Transformation and Analytics must complete the following 42 units of coursework:
- 95-722 Digital Transformation – 6 units
- 95-791 Data Mining – 6 units
- 90-802 Public Policy Analytics: Cases & Issues – 6 units
- 94-802 Geographic Information Systems – 12 units
At least 12 units from the following list:
- 95-888 Data Focused Python – 6 units
- 94-842 Programming R for Analytics – 6 units
- 95-737 NoSQL Database Management – 6 units
- 95-797 Data Warehousing - 6 units (pre-requisite – 95-728 Introduction to Database)
- 95-799 Linux and Open Source - 6 units
- 95-869 Big Data and Large Scale Computing - 6 units (pre-requisites – 957-12 OOP JAVA, 95-703 Database Management, 95-791 Data Mining)
- 95-865 Unstructured Data Analytics - 6 units (pre-requisite 95-888 Data Focused Python)
- 94-867 Decision Analytics for Business and Policy – 12 units (pre-requisite – 95-760 DMUU)
Internships and Career Outcomes
Detailed information on MSPPM students Internships and Career outcomes can be found at:
Detailed information on CMU-A's entry requirements can be found at:
Fees and Scholarships
Detailed information on CMU's fees and scholarships can be found at:
An exchange in Pittsburgh will enable you to continue your rigorous professional development while pursuing complementary courses within the broader context of Carnegie Mellon University and Heinz College.
Students enrolled in our 21-month MSIT and MSPPM tracks may participate in the exchange program for one study period but must spend their first and last study periods in Adelaide.
To be eligible, you must be in good financial standing with the university and have a cumulative QPA of 3.3 or higher.
Other Related Information
International students enrolled in the 21-month track may be eligible to apply for the Post Study Work Visa after completion of their degree.