Overview

Organisations across the world are struggling to develop the know-how to aggregate, analyse, and most importantly monetise the growing surge of available data. Corporate and government entities point to a shortage of individuals that have the combined business, analytics, IT, and communications skills required to be leaders in this field. The School of Information Systems and Management at Carnegie Mellon University’s Heinz College is perfectly positioned to develop these leaders with our world-renowned faculty teaching a cohesive blend of data analytics, management, strategy, and IT courses.

Our Business Intelligence and Data Analytics (BIDA) programs are aimed at developing an elite set of graduates cross-trained in business process analysis, technology management and technically skilled in all aspects of data science including predictive modelling, analytical reporting, GIS mapping, segmentation analysis, and data visualisation. Students will acquire the skills to integrate cutting edge information and analytics technologies with best practices and applied business methods.

Carnegie Mellon University’s H. John Heinz III College has recently been awarded the prestigious UPS George D. Smith Prize by the Institute for Operations Research and the Management Sciences (INFORMS®). Our full-time MISM degree was also recognised by Information Week as one of the top programs suited to develop the leaders needed to fill the global "big data talent gap”.

Learning Outcomes

	MSIT– BIDA	Advanced Certificate in BIDA	Graduate Certificate in BIDA
Apply techniques for data management, including data wrangling, cleaning, sampling, management, 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 principles and tools, and manage their implementation in a business context
Develop systems to automate data collection and data mining and utilize techniques to discover previously hidden insights that can profoundly impact the success of any business.
Manage complex Business Intelligence projects with consideration of the human, financial and environmental factors and an understanding of risk management processes, and operational and policy implications
Understand the strengths and limitations of current technologies and apply them intelligently to meet the needs of each application
Apply their practical experience in IT projects developed through assessment projects for real world clients focusing on technology auditing and recommendations, and system development
Utilise high level interpersonal skills to negotiate and communicate effectively with both technical and non-technical stakeholders verbally and in writing.
Understand and facilitate the strategic and operational benefits of business models and technology applications

Careers

As a CMU business intelligence and data analytics graduate, you can assume positions such as business analyst, data analyst, business intelligence analyst, financial analyst, application developer, software engineer, enterprise architect, IT consultant and systems analyst roles and move into managerial roles as your career progresses. Senior positions include Chief Information Officer, Chief Technology Officer and Senior Solutions Consultant.

Course Exemption

If you have a strong background in any of the core courses, you can receive an exemption either by passing an exemption exam administered during your orientation program or through successful completion of comparable coursework during your undergraduate studies. Exempting a course doesn't reduce the required number of courses you must complete but instead allow you to choose additional elective courses to expand your knowledge base and further tailor your program.