Analytics Co-Major

Analytics describes the extensive use of data to guide evidence-based decision-making. This field has emerged during a time when massively large data sets are being collected throughout society. Analytics lives at the junction between numerous traditional disciplines including information systems and statistics. This program will provide a framework for thinking about the collection and use of so-called "big data" and students will develop skills for handling structured and unstructured data sets and for developing models to predict behavior in data-rich environments.

The term "co-major" is unique and indicates that students must be concurrently enrolled in and must complete another major at Miami University. The co-major complements this primary major, which provides significant depth and breadth in an academic discipline. There is no specific degree designation for the co-major; students receive the degree designation of their primary major. Students may earn either the Business Analytics Minor or the Analytics Co-Major.

Co-Major Information

  • 33-38 credit hours
  • Open to all students
  • Must have a primary major to graduate
  • Fulfills the thematic sequence requirement for business (except ISA majors with BA track) and non-business majors
  • Spring-only courses: ISA 496
  • Rapid succession of ISA 235, ISA 245, and ISA 401 recommended
  • Rapid succession of ISA 225, ISA 291, and ISA 491 recommended
  • For more information, visit the FSB website:
  • Pre-requisite information available in the Miami Bulletin:

Co-Major Contacts

Track Name
Predictive Analytics Track Dr. Fisher
Geospatial Analytics Track Robbyn Abbitt
Business Analytics Track Dr. Megahed

Co-Major Requirements

Data Description and Summarization (Select one of the following):
  • ISA 225
  • STA 261
  • STA 301
Data Management - Structured (Select one of the following):
  • CSE 148, ISA 235 and ISA 245
  • CSE 174, CSE 271, CSE 274 and CSE 385
Regression Models (Select one of the following):
  • ECO 311
  • ISA 291
  • STA 363
  • STA 463
Visualizing Data and Digital Dashboards:
  • STA 404

Choose One Track:

Business Analytics

Note: For ICM majors, IS majors, or ISA majors with IS track, 18 hours must not double count in the ICM major, IS major, or ISA major with IS track and Analytics Co-Major or business core.

Note: For STA majors, at least 18 hours must be courses not double counted toward the STA major.

Note: ISA 291 must be chosen for this track.

Note: For IS minors, 9 hours must not double count for the minor.

  • ISA 401
  • ISA 414
  • ISA 491
Select Two of the Following:
  • ISA 281
  • ISA 321
  • ISA/STA 333
  • ISA/STA 365
  • STA 432
  • ISA 444
  • ISA 480
  • ISA 496
  • STA 402
  • STA 427

Predictive Analytics

  • STA 402
  • STA 427
  • STA 467
  • ISA 414
Select One of the Following:
  • ISA 321
  • MTH 432
  • CSE 372

Geospatial Analytics

Note: Students who wish to also earn the GlSci Certificate must take an additional 6 appropriate credit hours beyond the Analytics Co-major requirements.

  • GEO 441
  • GEO 442
  • GEO 460 (Maximum 12)
Select Six Hours of the Following:
  • GEO 443
  • GEO 444
  • GEO 448
  • GEO 460G
  • IMS 461
  • ISA 414

Updated by FSB Advising, July 2022