Business Intelligence & Data Analytics
Empowering the Data Scientist.
Within the MISM program, the Business Intelligence & Data Analytics (BIDA) pathway goes deeper into the emerging field of analytics, forging experts that change the way companies do business around the world.
The 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 you will arm you with the expertise to become an influencer at any organization.
Location: Pittsburgh, Pennsylvania
Duration: 16 months / 3 semesters (Fall, Spring, Summer Internship, Fall)
My Story: Sam
Sam chose the MISM-BIDA program because of its curriculum: the blend of technical courses and management skills that allow him to integrate into the culture of a workplace.
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
NOTE: The standard 16-Month BIDA program follows the same academic schedule as MISM: 16-Month, which begins in August and ends in December of the following year. The 12-Month BIDA runs from August to August.
For detailed curriculum information, please visit the MISM Student Handbook.
SAMPLE SCHEDULE
Below is one possible schedule for Business Intelligence & Data Analytics (16-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)
- Data Focused Python*
- Object-Oriented Programming in Java
- Database Management
- Organizational Design and Implementation*
- Statistics for IT Managers*
- Economic Analysis*
- Writing for Information Systems Management*
SECOND SEMESTER (SPRING)
- Machine Learning for Problem Solving
- Applied Econometrics I*
- Distributed Systems for Information Systems Management
- Accounting and Finance Analytics*
- Professional Speaking*
- Big Data and Large-Scale Computing*
- Unstructured Data Analytics*
--REQUIRED SUMMER INTERNSHIP--
THIRD SEMESTER (FALL)
- Data Analytics Capstone Project
- Intro to Artificial Intelligence*
- Making Products Count: Data Science for Product Managers*
- Decision Making Under Uncertainty*
- Digital Transformation*
- Advanced Business Analytics*
*Half-semester courses