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Reskilling for Impact, Scale & Enterprise Leadership
Employer Partner Benefit

Master of Science in Business Analytics - Chandler 

 

Anastasiya Ghosh
Associate Dean 
anastasiya@arizona.edu

Gray Hunter
Assistant Director, HSLopez School of Business Analytics 
mgrayhunter@arizona.edu 

An Employer Partnership Benefit Program

The Eller RISE program, which stands for Reskilling for Impact, Scale and Enterprise leadership, is focused is on transforming today’s employees into tomorrow’s leaders.

We recognize the critical need for today’s workforce to reskill. Sometimes that can take place lunch-and-learn format; sometimes in a longer day-long session; and sometimes in a formal continuing education program. 

The RISE pilot program for intensive continued education is the part-time Master of Science in Data Analytics based in Chandler, Arizona and the “Silicon Desert.” 

Data and AI fluency is no longer a specialist skill — it's a leadership requirement. The Eller Part-Time MSBA turns your high-potential employees into confident, AI-capable decision-makers without interrupting their work. 

Your organization's tuition assistance and Eller partnership savings combined to maximize the benefit per employee. 

Costs and Savings

Standard tuition, before the partnership benefit

  • $1,150/credit Arizona resident 
  • $1,428/credit Non-resident 

Charged per credit — the 33-unit total is identical full or part-time.

The more of your team you back, the more each one saves

TEAM MEMBERS ENROLLED

TUITION CUT /CREDIT

SAVINGS PER EMPLOYEE

2-3 Employees

$150

$4,950/employee

4 or more Employees

$250

$8,250/employee

Flexible Design
The program meets each employee where they start

Technical hires waive the data foundations; business- experienced staff waive the business courses — and freed credits become advanced, AI focused coursework. Everyone attends just one evening a week in person, with optional online courses through Eller's partner programs, finishing in 16–33 months at a pace that fits the job.

Who You Should Send

Technical talent ready to lead

Engineers, analysts and IT professionals with strong technical skills who need business fluency and modern data & AI capability to step into decision-making roles.

Experienced leaders staying ahead

Proven, loyal professionals whose responsibilities now demand deeper data and AI skills than their training covered — upskilled in place, keeping their institutional knowledge in-house.

#12
Public Business Analytics
U.S. News2026

Applied AI
Hands on AI learning Integrated Across Curriculum
Including an Enterprise AI Course

1 Evening
Per Week
In-person in Chandler

STEM
Designated
up to 3-yr OPT eligibility

THE RETURN ON YOUR HIGH POTENTIAL EMPLOYEES

WHILE ENROLLED

Employees apply skills immediately — pulling, cleaning and interrogating company data without waiting on scarce specialists.

BY MID-PROGRAM

They build the models, dashboards and AI-assisted workflows that answer real business questions.

AT GRADUATION

They lead data initiatives end to end — leveraging AI across a range of tasks — and deliver real results to your organization.

Capstone:

150 hours. Your project. Your data. No consultants.

The Practicum is a faculty-supervised engagement scoped directly with you — run inside your organization over a semester or summer. You define the problem. We supervise the work. You keep the output. 

The return: a real analytical deliverable, a deeper bench of in-house talent, and a reason your best people stay.

How We Measure What Your Employees Gain

 

How learning is delivered — 
a 70·20·10 model

70%

Applied Work. Hands-on practice, exercises, and company use cases leveraging large data are the bulk of every course.

20%

Mentorship & Peer Learning. Analytics workshops and speaker series; feedback loops; and faculty guidance and touchpoints on applied projects.

10%

Conceptual. Core frameworks; modeling theory; foundational assumptions and research design.

The Four Level 
Evaluation Model

L1 Reaction Are they engaged, and is it relevant to the job?
Course evaluations, analytics-workshop and speaker-series participation, and short cohort & manager pulse surveys — these feedback loops are part of the program's mentorship layer.

L2 Learning Did they gain real knowledge and skill?
Graded coursework and applied deliverables, Python / SQL / machine learning skill checks, and progress along the capability arc 

Data Literacy → Fluency → Storytelling → Decision Leadership.

L3 Behavior Are they working differently on the job? 
Manager observations, applied-project portfolios, and the in-house practicum — employees pulling and cleaning data, and building dashboards and AI-assisted workflows inside your organization while still enrolled.

L4 Results Did the business change because of it?
Capstone / practicum outcomes tied to a real business question, plus the partnership payoffs: faster decisions, less spend on outside consultants and new hires, and retention and promotion of your most capable people.

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