Elective 3 — Fall 2027 (TBD)
Program-level details: See program/CURRICULUM.md
TBD — course to be determined. This slot will be filled based on Cohort 1 feedback and faculty availability.
Overview
| Detail | Value |
|---|---|
| Credits | 4 |
| Semester | Fall 2027 (Weeks 9-16) |
| Type | Elective |
| Status | TBD — selecting from candidate options below |
Candidate Options
Four options are under consideration. For full details on each, see Future Electives & Specialization Tracks.
| Option | Focus | Prerequisite |
|---|---|---|
| A. Data Engineering | Production data systems (Airflow, dbt, Kafka) | BADM 558 |
| B. Advanced ML Systems | MLOps, A/B testing, feature stores | BADM 576 |
| C. AI Strategy & Leadership | Governance, ethics, AI adoption strategy | None |
| D. Industry Deep-Dive | Rotating: Finance, Healthcare, Marketing, Supply Chain | Varies |
Current recommendation: Option A (Data Engineering) as a Year 1 complement to BADM 558, building on Big Data Infrastructure skills.
Program Requirements
All 8-week electives must include at least one team project with an oral defense component (20-30% of project grade). 4-week electives are individual projects only.
Last Updated: February 2026