Launch yourself into an elite data science career in just twelve months, minimizing your time away from the workforce and returning with an unparalleled skillset.
If you have three years of relevant professional experience or more, the BIDA: 12-Month pathway provides the same degree as our standard Business Intelligence & Data Analytics (BIDA) pathway, but in an accelerated format. Students complete the BIDA: 12-Month pathway full-time from August to August.
The Heinz College BIDA programs will provide you with depth in the emerging field of analytics, forging skills that you can use to change the way companies do business. Our comprehensive curriculum includes advanced analytics coursework in machine learning, structured and unstructured data analytics, and predictive modeling. When combined with core technology coursework and experiential learning, BIDA will arm you with the expertise to become an influencer at any organization.
Due to the experience level of BIDA: 12-Month candidates, an internship is not required.
Location: Pittsburgh, Pennsylvania
Duration: 1 year / 3 semesters (Fall, Spring, Summer)
MY STORY: Monica
Monica Shekhar is from Ranchi, India. She chose Heinz College because she knows that firms are increasingly relying on data to make decisions that affect people all over the world.
Business Intelligence & Data Analytics Curriculum
For detailed curriculum information, please visit the MISM Student Handbook.
Below is one possible schedule for Business Intelligence & Data Analytics (12-Month pathway). Actual schedules will vary depending on pathway, concentrations, and electives.
Class titles in bold are core courses. Heinz College offers a mix of full-semester (14 weeks) and half-semester courses (7 weeks) for core and elective courses.
FIRST SEMESTER (FALL)
- Unstructured Data Analytics*
- Advanced Business Analytics*
- Object-Oriented Programming in Java
- Database Management
- Statistics for IT Managers*
- Economic Analysis*
- Data Focused Python*
SECOND SEMESTER (SPRING)
- Machine Learning for Problem Solving
- Applied Econometrics*
- Distributed Systems for Information Systems Management
- Time Series Forecasting
- Big Data and Large-Scale Computing*
- Decision Making Under Uncertainty*
- Making Products Count: Data Science for Product Managers*
THIRD SEMESTER (SUMMER)
- Data Analytics Capstone Project
- Writing for Information Systems Management*
- Accounting and Finance Analytics*
- Professional Speaking*
- Organizational Design and Implementation*
- Digital Transformation*