Data ranges from social networks and mobile devices to real-time sensors and purchase transactions, and the pace of data generation doubles every three years. The immediate need for professionals versed in data analytics is fueled by the explosion of data generated online. The appropriate distribution of required core courses.Ī minimum cumulative quality point average (QPA) of 3.0 (B) overall.

Students are awarded the Graduate Certificate when all of the following criteria are satisfied:Ī minimum of 15.0 credits of approved graduate-level coursework. Programming course requirement (BMIS 2542 or BMIS 2526)Įlectives (3 credits) choose from the following, others with permission of Area Faculty Director:īQOM 2558: Business Analytics: Strategic EssentialsīQOM 2559: Applied Simulation & Optimization (co-requisite BQOM 2512)īACC 2523: Accounting Data Analytics (pre-requisite BUSACC/BACC 1236)īMKT 2544: Shopper Analytics (pre-requisite BMKT 2409)īMKT 2551: Digital & Social Media Analytics (pre-requisite BMKT 2409)

Earn minimum 3.00 (B) in BQOM 2421 Decision Technologies or equivalentīQOM 2512: Advanced Decision Technologies.

Earn minimum 3.25 (B+) in BQOM 2401 Statistical Analysis or equivalent.

Any Pitt graduate student is eligible to pursue the certificate in addition to their declared degree program.Īdmissions to the Graduate Certificate in Business Analytics program may be conditional pending the successful completion of pre-requisite coursework: Prospective students who have completed an undergraduate degree are welcome to apply for the University of Pittsburgh Graduate Certificate in Business Analytics. Ultimately, students will be able to use data as a strategic asset to make better decisions and drive results. Students will learn how to conduct data mining, database management, data programming, and other forms of advanced data analysis. This 15-credit certificate is designed to equip students with the quantitative skills to collect and evaluate data, and the qualitative skills to communicate the findings. Professionals who can grasp the implications of data through business analytics will improve their firms’ competiveness and unlock new levels of productivity and growth.

The rise of the internet, multimedia, and social media is fueling data growth at an exponential speed-and business analytics is the next frontier for innovation, competition, and productivity.

Bcit graduate certificate