Advanced Certificate in BIDA

Advanced Certificate in Business Intelligence and Data Analytics

Duration 2 years part-time
Location Hybrid
Professional Work Experience 3 or more years
Intakes January, August

The program is ideal for mid-career professionals and is designed to help meet the expanding needs for data scientists who are skilled in the utilisation of a unique blend of science, art and business. It combines a comprehensive business intelligence, data analytics and management curriculum with an industry-based Data Analytics Capstone Project, delivering valuable career experience, theory and knowledge all in one.

With our hybrid delivery model, you will take some courses in our Adelaide campus and a subset of courses online.

The program also offers a pathway for further learning in the Master of Science in Information Technology – Business Intelligence and Data Analytics (MSIT-BIDA) program.

Learning Outcomes

  • Apply techniques for data management, including data wrangling, machine learning, sampling, exploratory analysis, regression and classification, prediction, and data communication.
  • Design, document and develop robust, extensible and highly maintainable data-intensive applications using cutting edge technologies tailored to the specific needs of any business scenario.
  • Explain and apply the core aspects of information technology project management principles and tools, and understand their implementation in a business analytics context.
  • Develop systems to automate data collection and data mining which help to discover previously hidden insights that can profoundly impact the success of any business.

Work That Matters

Carnegie Mellon Takes Lead in Analytics Technologies for Forecasting Epidemics and Pandemics

Degree Structure

The program requires 96 units: 72 units of core courses and 24 units of elective courses.

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

Elective Courses

The electives below represent a selection of those that have been offered in the past. It is provided in order to give an indication of the type of electives that may be available in the future. However, this part of the syllabus is constantly evolving and students need to be guided by the list of the current electives shown in the course schedule. Elective courses will be offered in a variety of areas related to the technology and business of information and communication technology.

Code Course Units
95-866 Advanced Business Analytics 6
95-774 Business Process Modeling 6
95-722 Digital Transformation 6
95-710 Economic Analysis 6
95-808 IT Project Management 6
95-870 Managing Analytics Projects 6
95-737 NoSQL Database Management 6
91-843 Power And Influence 6
94-806 Privacy in the Digital Age 6
94-811 Strategy Development 6

Entry Requirements

Detailed information on CMU-A's entry requirements can be found at:

Fees and Scholarships

Detailed information on CMU-A's fees and scholarships can be found at: