AI and Business Analytics MS

Lead the adoption of AI in business, operations, and technology

Build the strategic and analytical skills to guide AI adoption, business analytics, and digital transformation across operations, supply chains, and enterprise systems. There is no programming background required for this advanced degree.

At UMass Dartmouth, you'll learn to lead, not just analyze. This program combines artificial intelligence, business analytics, and technology management into one degree, preparing you to guide organizations through AI adoption, digital transformation, and data-driven decision-making. Through hands-on projects, interactive AI demonstrations, and real-world consulting experiences, you'll build the strategic judgment employers are actively seeking: the ability to translate AI capabilities into business outcomes, without needing a computer science background to get there.

Launch your career

Median starting salary

Source: NACE AY 2025 Data Collection of Graduate Alumni

16%

Projected growth for managers of CIS

Source: Bureau of Labor Statistics

12%

Projected employment growth for operations research analysts

Source: Bureau of Labor Statistics

10%

Projected employment growth for management analysts

Source: Bureau of Labor Statistics

What can I do with an MS in AI and Business Analytics?

Organizations across healthcare, manufacturing, supply chain, financial services, consulting, and IT are hiring for roles that sit at the intersection of business and AI. Graduates of this program are prepared for positions such as business analyst, AI/technology strategy consultant, operations and supply chain analyst, IT/digital transformation manager, and business intelligence manager.

Business Analyst
AI/Technology Strategy Consultant
Operations Research Analyst

Supply Chain Analyst/Manager
Business Intelligence Manager
Computer Information Manager

Digital Transformation Manager
Management Analyst
Enterprise Systems (ERP) Manager

Top employers

Curriculum

As a student in this program, you'll learn to:

Apply machine learning, generative AI, and AI agent concepts to real business problems — without writing code
Evaluate and lead AI adoption, innovation, and technology investment decisions
Analyze and improve operations, supply chain, and enterprise systems using modern analytics
Design and deploy multi-agent AI systems for business applications, including automation and reporting
Apply responsible AI principles, governance, ethics, privacy, and bias, to real organizational decisions
Lead digital transformation initiatives with both technical fluency and business strategy

Two flagship AI courses:

AI Foundations for Business — machine learning, deep learning, and generative AI, taught through interactive visualizations and case discussion rather than programming
AI Agentic Systems for Business — large language models, autonomous agents, multi-agent orchestration, and frameworks like CrewAI and AutoGen, applied to real business use cases

Admissions

Ready to take the next step? Start your application to UMass Dartmouth any time. Graduate admission requirements include university-wide requirements as well as additional requirements that may vary by program.

At a glance

GMAT:: Optional; Learn more about waiving the GMAT or contact Graduate Admissions for more information.
STEM-OPT:: Eligible

Admissions Requirements

To apply please create an account in our Applicant Portal. You will need to submit:

Application form
$60 application fee (non-refundable)
Statement of Purpose (minimum 300 words)
Resume
Transcripts for all post-secondary institutions attended (regardless of whether a credential is earned or not)
English Proficiency test scores:TOEFL, IELTS, Duolingo, or PTE Academic (if applicable)
Letter(s) of Recommendation (see program requirements for more information)
GRE/GMAT (not required for most programs, see program requirements for more information)

Unofficial transcripts and test scores are accepted for application review but official documents are required for enrollment, please have documents (ie. test scores) sent prior to the expiration.

UMass Dartmouth offers competitive graduate assistantships and fellowships that may provide stipends and tuition credits. Assistantships are available in select programs and are awarded based on factors such as academic record, program needs, and available funding.

Graduate programs at UMass Dartmouth offer admission for fall, spring, and/or summer terms, depending on the program. Most programs offer fall admission, while some also admit students in the spring or summer. International students may apply for fall or spring admission only.

Yes. You may transfer up to 6 graduate credits from another institution toward a UMass Dartmouth graduate degree, with approval from the relevant department, dean, and Office of Graduate Studies. Transfer courses must be completed with a grade of B- or better. Credits already used toward another degree or certificate generally cannot also be applied toward a UMass Dartmouth graduate degree.

The AI and Business Analytics MS program is designated as a STEM degree and may qualify eligible F-1 international students for the 24-month STEM Optional Practical Training (STEM OPT) extension after completing standard post-completion Optional Practical Training (OPT).

Eligibility for STEM OPT is determined by U.S. immigration regulations and individual student circumstances. To learn about eligibility requirements and the application process, review the International Student & Scholar Center (ISSC) OPT page and the U.S. Citizenship and Immigration Services (USCIS) STEM OPT guidance. F-1 students must work with the ISSC to apply for a STEM OPT extension.

International applicants may need to provide proof of English proficiency and have academic credentials from institutions outside the United States evaluated. Additional requirements may vary by program.

UMass Dartmouth accepts several English proficiency exams, including the TOEFL, IELTS, Duolingo English Test, and Pearson PTE Academic. Minimum scores may vary by program, so applicants should check their program's specific requirements.

International students who plan to study on campus in the United States generally need an F-1 student visa and an I-20 issued by UMass Dartmouth. Students enrolling in fully online programs generally do not need or qualify for an I-20. Visa requirements and eligibility depend on the student's program and enrollment format.

Yes. UMass Dartmouth accepts degrees from accredited institutions outside the United States. International academic credentials may need to be evaluated to determine their U.S. equivalency. Applicants should check their program's requirements for specific credential-evaluation instructions.

Accolades

UMass Dartmouth is a nationally ranked R2 research university that combines the resources of a major university with a personalized educational experience. Ranked among the top 15 public research institutions with fewer than 10,000 students and in the top 17% nationally for return on investment, UMass Dartmouth is recognized for advancing research, social mobility, and career-ready education.

AACSB-Accredited Excellence at Charlton

The Charlton College of Business holds AACSB accreditation, a distinction earned by fewer than 6% of business schools worldwide. Nationally ranked undergraduate, graduate, and online programs combine rigorous academics with experiential learning, while strong employment and salary outcomes demonstrate the lasting value of a Charlton education.

Accreditations and distinctions

Charlton is proud to be one of less than 6% of business schools worldwide to earn AACSB accreditation, the gold standard for business schools.

Frequently asked questions

Have questions about the AI and Business Analytics MS program? Here you will find answers to common questions about admissions, curriculum, career outcomes, and student experience.

It's a business master's degree offered through the Charlton College of Business. You'll learn how to use data, analytics, and AI tools to make smarter business decisions in areas like marketing, finance, operations, supply chain, and healthcare management — and how to help organizations adopt AI successfully. Most businesses know AI matters but are still figuring out where to start. This program prepares you to be the person who can identify the right opportunities, evaluate the tools, manage the risks, and lead the change. The emphasis is on applying AI to real business problems, not on building AI systems.

No. This is a business degree. You'll gain hands-on skills with analytics and AI tools, but the coursework is grounded in business strategy, management, and decision-making. If you want to use AI and data to lead in a business setting — and help your organization put AI to work — this program is designed for you.

Yes. The program is designed for working professionals. Many students apply what they learn immediately — leading an AI pilot, improving a reporting process, or advising leadership on AI strategy at their current job.

No. We welcome applicants from all academic and professional backgrounds. Many students come from fields like marketing, healthcare, education, the social sciences, and the humanities. Also, many engineering and computer science professionals are looking to add business analytics to their portfolio.

You'll get hands-on with the same AI tools businesses are adopting right now — without needing a programming background.

Large language models and AI assistants. You'll work directly with current LLM platforms throughout the program, including in a dedicated course on AI agentic systems where you'll build working AI agents and multi-agent applications, such as an automated reporting engine, using frameworks like LangGraph, CrewAI, and AutoGen.
Python in JupyterLab. In AI Foundations for Business, you'll run instructor-provided Python code in a Jupyter environment to see how machine learning and AI models behave, how predictions are generated, and how performance is evaluated. You won't be asked to write or modify code; the goal is understanding how the models work so you can judge when and how to use them.
Real enterprise systems. You'll get hands-on experience with cloud-based and AI-enabled enterprise systems — the platforms organizations use to run their operations — so you can manage them, not just read about them.
Business analytics and intelligence tools for operations, supply chain, and decision-making.

The AI and Business Analytics MS program is designated as a STEM degree and may qualify eligible F-1 international students for the 24-month STEM Optional Practical Training (STEM OPT) extension after completing standard post-completion Optional Practical Training (OPT).

Eligibility for STEM OPT is determined by U.S. immigration regulations and individual student circumstances. To learn about eligibility requirements and the application process, review the International Student & Scholar Center (ISSC) OPT page and the U.S. Citizenship and Immigration Services (USCIS) STEM OPT guidance. F-1 students must work with the ISSC to apply for a STEM OPT extension.

AI and Business Analytics MS

Lead the adoption of AI in business, operations, and technology

Launch your career