Last updated: June 02, 2026

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MSBAi Curriculum: Single Source of Truth

Program: Master of Science in Business Analytics - Online (MSBAi) Institution: Gies College of Business, University of Illinois Launch: Fall 2026 Total Duration: 15 months (3 semesters + 1 summer) Total Credits: 36 Format: 8-week courses within 16-week semesters Common Thread: Python + Jupyter Notebooks across all courses STEM Designation: Not STEM designated (pending formal confirmation with Lorena — see OPEN_QUESTIONS.md “Admissions & Marketing — From 5/28 Email”)


Course Development Status

Each course page carries a status badge. The convention:

Status Meaning
Final Approved by instructor, ready for implementation
In Development Instructor actively building content; structure stable
Under Revision Significant changes expected from recent stakeholder input
Draft Initial outline; pending instructor review
Course Status Notes
BADM 554 In Development Vishal recording in progress
BDI 513 In Development Ron using textbook-first approach; overview videos only
FIN 550 In Development Xing completing remaining modules
BADM 557 Under Revision Gautam repositioning to frameworks-first; current page reflects prior approach
BADM 558 Draft Pending instructor review
BADM 576 Draft Pending instructor review
Agentic AI Draft Vishal (lead) + Mark Moran (co-instructor, placeholder)
Quantum Approaches for Decision Making Proposed Combined 8-wk course (confirmed 2026-06-01): Part 1 Quantum Cognition (Nathan Yang — v12 pending, awaiting Amanda review) + Part 2 Quantum Computing (Abhijeet Ghoshal — pending review)
Practicum Draft Structure outlined; detailed design pending

Preparatory Coursework (Staggered Model — Confirmed 2026-05-18)

Preparatory coursework is staggered, with each module timed to the first course that applies it. Two tiers:

Required, proof of completion (gated by registration hold)

Module Deadline Notes
GitHub + VS Code prep (DataCamp) Before Day 1 (BADM 554 Week 1) Foundational environment setup; required for all students
Gen AI literacy module End of Week 4 Self-study Canvas course; can run in parallel with BADM 554; required for all students

Self-diagnostic (ungated, completion not required)

Module Self-assessment by Notes
Python & Tools prep (Coursera — specific course TBD, Ron Guymon selecting) Before BDI 513 start (Fall 2026 Week 5) Replaces the prior DataCamp plan (DataCamp retained for GitHub prep only). Linked from a Canvas self-assessment module — content stays on Coursera, not migrated into Canvas. Quiz indicates whether the student should work through the prep course; scores not evaluated by the program
Exploring and Producing Data for Business Decision Making + Inferential and Predictive Statistics for Business (Coursera — University of Illinois; selected modules from BADM 572) Before FIN 550 start (Fall 2026 Week 9) Cover descriptive statistics, probability, sampling, hypothesis testing, regression. Only a curated portion is required (T&L-led), not the full MOOC. “Program Foundational Stats” ruled out (2026-05-22). Self-diagnostic quiz only

Source: DECISIONS.md “Preparatory coursework: staggered completion model” (2026-05-18); “Prep course module structure and delivery model” (2026-05-22); “FIN 550 stats prep: BADM 572 MOOCs confirmed; Program Foundational Stats ruled out” (2026-05-22); “BDI 513 Python & Tools prep: Coursera replaces DataCamp” (2026-05-22).

Target student: Career pivoters (age 25-40) from technical/STEM or non-analytics backgrounds. See program/target_profile.md for full profile and admission criteria.


Program Timeline

Fall 2026 Semester (16 weeks)

Course Credits Weeks Instructor Notes
BADM 554 - Enterprise Database Management 4 Weeks 1-8 Vishal SQL, Python, databases, ETL pipelines
BDI 513 - Data Storytelling 4 Weeks 5-12 Ron Straddles both halves - visualization, narrative, financial analysis
FIN 550 - Big Data Analytics in Finance (ML I) 4 Weeks 9-16 Xing/Mathias Supervised ML: regression, classification, feature engineering, business case
Semester Total 12      

Student Experience:


Spring 2027 Semester (16 weeks)

Course Credits Weeks Instructor Notes
Quantum Approaches for Decision Making 4 Weeks 1-8 Nathan Yang (Pt 1) / Abhijeet Ghoshal (Pt 2) Combined 8-wk course: Part 1 Quantum Cognition (wks 1-4, from Jan 19 / POT A), Part 2 Quantum Computing (wks 5-8, from Feb 15)
BADM 558 - Big Data Infrastructures 4 Weeks 5-12 Ashish Feb 15 start. AWS, Spark, dbt, Redshift + Snowflake, data engineering with Python
Agentic AI for Analytics 4 Weeks 9-16 Vishal / Mark Moran RAG, agentic systems, context engineering, LLMOps, AI governance
Semester Total 12      

Sequence revised 2026-06-01; POT dates confirmed 2026-06-02 (Maria Rodas with Ashish/Abhijeet/Nathan; POT dates per Heather Aldridge, iDegrees): the two 2-cr quantum courses are combined into one 4-cr 8-week course (POT A start Jan 19, 2027), BADM 558 shifts to a Feb 15 start (wks 5-12), and Agentic AI starts Mar 15 (POT B). Course number is BADM 590 — a temporary number intentionally shared by both new courses (Quantum Approaches + Agentic AI) for year 1; permanent distinct numbers assigned later. MLK Day (Jan 18) falls the day before POT A — Week 1 live/studio scheduling TBD. See DECISIONS.md “Spring 2027 sequence revised.”

Student Experience:

Concurrency note: the revised sequence creates two 8-credit concurrent stretches (wks 5-8, 9-12), heavier than the prior 6-cr symmetric design. Flagged for faculty deliverable-timing coordination in the wks 5-8 overlap (Quantum Pt 2 + BADM 558).


Summer 2027 (8 weeks)

Course Credits Weeks Instructor Notes
BADM 557 - Business Intelligence 4 Weeks 1-8 Gautam Case studies, BI, Power BI + Python, AI-augmented decisions
Summer Total 4      

Cumulative after Summer 2027: 28 credits


Fall 2027 Semester (16 weeks)

Course Credits Weeks Instructor Notes
BADM 576 - Data Science and Analytics (ML II) 4 Weeks 1-8 Zilong Advanced ML: ensembles, unsupervised, NLP, time series, neural nets, MLOps/LLMOps
Practicum 4 Weeks 9-16 Vanitha Portfolio + client project
Semester Total 8      

Program Total: 36 credits


Credit Breakdown

Core Courses (16 credits)

# Course Credits Semester
1 BADM 554 - Enterprise Database Management 4 Fall 2026
2 BDI 513 - Data Storytelling 4 Fall 2026
3 FIN 550 - Big Data Analytics in Finance (ML I) 4 Fall 2026
4 BADM 557 - Business Intelligence 4 Summer 2027

Advanced Courses (8 credits)

# Course Credits Semester
5 BADM 558 - Big Data Infrastructures 4 Spring 2027
6 BADM 576 - Data Science and Analytics (ML II) 4 Fall 2027

Required Electives (8 credits)

# Course Credits Semester
7 Quantum Approaches for Decision Making (Part 1: Quantum Cognition + Part 2: Quantum Computing) 4 Spring 2027
8 Agentic AI for Analytics 4 Spring 2027

Practicum (4 credits)

# Course Credits Semester
9 Practicum 4 Fall 2027

Faculty Assignments

Course Instructor Semester
BADM 554 - Enterprise Database Management Vishal Fall 2026
BDI 513 - Data Storytelling Ron Fall 2026
FIN 550 - Big Data Analytics in Finance (ML I) Xing/Mathias Fall 2026
BADM 558 - Big Data Infrastructures Ashish Spring 2027
Quantum Approaches for Decision Making Nathan Yang (Part 1) / Abhijeet Ghoshal (Part 2) Spring 2027
Agentic AI for Analytics Vishal / Mark Moran Spring 2027
BADM 557 - Business Intelligence Gautam Summer 2027
BADM 576 - Data Science and Analytics (ML II) Zilong Fall 2027
Practicum Vanitha Fall 2027

Key Design Rules

1. 8-Week Courses in 16-Week Semesters

2. Week Numbering Resets Each Semester

3. Straddling Courses

4. Credit Distribution by Semester


This is the single source of truth for all program-level facts. All other documents should reference this file rather than duplicating program parameters.