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Paul College Graduate Programs
Data drives smarter decisions in today's organizations. A Master's in Business Analytics at UNH sharpens your ability to add value through data analysis, visualization, and forecasting trends, helping leaders make informed choices in resource-limited settings.
Ideal for those with backgrounds in business, math, economics or STEM, this program also welcomes others with prerequisite coursework, preparing you to lead in a data-driven world.
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A master’s degree in business analytics prepares you for careers related to data analytics, artificial intelligence, and quantitative decision making in modern organizations. It offers a comprehensive understanding of data management, visualization, predictive modeling, forecasting, data-driven decision optimization, and artificial intelligence enabling you to extract valuable insights and make informed business decisions. An M.S. in Business Analytics provides a competitive edge by bridging the gap between business and data science.
Cutting-Edge: Learn from world-renowned professors who are immersed in big data research and get exposure to the latest challenges businesses face.
STEM-Designated: With a STEM-designated focus on business analytics, you will graduate from the M.S. in business analytics program and be able to apply for a 24-month OPT STEM Extension to your 12-month Optional Practical Training Program (OPT) period, allowing you to work in the United States for up to 36 months after graduation with no additional visa requirement.
Comprehensive: Covers the three main pillars of business analytics, including descriptive, predictive, and prescriptive analytics, and offers hands-on experience with modern AI tools, large language models (LLMs), AI agents, and automated analytical workflows, giving students a full understanding of the discipline. The curriculum is designed to foster teamwork and presentation skills that will help students to seamlessly transition into relevant corporate roles.
Flexible Paths: The MSBA program is typically completed in 9 months, with students taking two courses per term (accelerated MSBA students) or three courses per term. Working professionals may take one- or two-day classes per term and complete the degree within two years while continuing full-time employment.
Industry Mentorship: Our Industry Advisory Board and Industry Advisory Council support mentoring, career readiness, curriculum relevance, and employer connections.
AACSB Accredited: AACSB is the hallmark of excellence in business education, a distinction earned by fewer than 6% of the world's business schools.
Accelerated Option is available for eligible UNH undergraduates to start the program during the last year of undergraduate studies.
The Master of Science in Business Analytics (MSBA), offered by the Peter T. Paul College of Business and Economics, prepares students for careers related to data analytics, artificial intelligence, and quantitative decision making in modern organizations. Graduates will be armed with skills in data management/visualization, predictive modeling, forecasting, and data driven decision optimization. The revised curriculum expands coverage of artificial intelligence, providing hands-on experience with modern AI tools, large language models (LLMs), AI agents, and automated analytical workflows that increasingly shape business practice. The program emphasizes both the theoretical foundations and the practical applications, supported by relevant and modern programming skills. In addition, the MSBA curriculum is designed to foster teamwork and presentation skills that will help students to seamlessly transition into relevant corporate roles.
The MSBA is a STEM-designated program and consists of required and elective coursework. Courses follow an 8-week-long term. The program can be completed in 9 months (taking two (for accelerated MSBA students) or three courses per term. Working professionals may take one or two of our day classes per term and complete the MSBA degree within two years while continuing to work.
Admission requirements include college-level mathematics (such as finite math or similar) and an introductory statistics course. GMAT or GRE scores are optional. While not mandatory, applicants with experience in statistics, programming, or quantitative reasoning may be more competitive. Students lacking these fundamentals will have access to resources to gain the necessary background before joining the program. International students are also required to submit a TOEFL score (waivers will be considered on a case-by-case basis).
As artificial intelligence and analytics transform the landscape of modern business, demand for graduates who can understand, develop, and apply AI-driven solutions continues to accelerate. Organizations of all sizes seek professionals who can translate data and emerging AI technologies into actionable insights and operational improvements. A list of examples of careers in business analytics is as follows:
The MSBA program requires students to take 12 courses (a total of 36 credit hours), from which 10 are required core courses and 2 are electives. A listing of core courses is below. Full-time students take two or three courses per term.
| Code | Title | Credits |
|---|---|---|
| The Foundation | ||
| Mathematics for Business Analytics (Online Module) 1 | 0 | |
| Core Courses | ||
| DS 801 | Business Intelligence | 3 |
| DS 802 | Probability Models for Analytics | 3 |
| DS 804 | Exploration and Communication of Data | 3 |
| DS 805 | Machine Learning for Business | 3 |
| DS 806 | Optimization Models for Analytics | 3 |
| DS 807 | Text and Image Analytics | 3 |
| DS 809 | Business Forecasting | 3 |
| DS 810 | Big Data and AI: Strategy and Analytics (Capstone) | 3 |
| DS 811 | AI Applications for Business | 3 |
| DS 815 | Programming for Business Analytics | 3 |
| Electives | ||
| Select two (2) Approved Electives from the below list of courses. 2 | 6 | |
| Total Credits | 36 | |
The online module acts as a refresher for the mathematical background needed for the program and is designed to prepare students for the MSBA program.
Below is a list of suggested elective courses from the MSBA program. Courses from other UNH graduate programs may be substituted with a petition.
Depending on the availability, students can take the below courses in a face-to-face format or in an online format.
| Code | Title | Credits |
|---|---|---|
| Approved Electives | ||
| DS 816 | Tools for Business Analytics | 3 |
| ADMN 829 | Corporate Financial Strategy | 3 |
| ADMN 830 | Investments | 3 |
| ADMN 834 | Private Equity/Venture Capital | 3 |
| ADMN 846 | International Financial Management | 3 |
| ADMN 852 | Marketing Research | 3 |
| ADMN 863 | Marketing Analytics | 3 |
| ADMN 864 | New Product Development | 3 |
| ADMN 912 | Managing Yourself & Leading Others | 3 |
| ADMN 839 | Applied Financial Modeling and Analytics | 3 |
| ADMN 842 | Project Management | 3 |
| ADMN 845 | Supply Chain Management | 3 |
| ADMN 865 | Digital Marketing | 3 |
| ADMN 919 | Accounting/Financial Reporting, Budgeting, and Analysis | 3 |
| ADMN 926 | Leveraging Technology for Competitive Advantage | 3 |
| ADMN 930 | Financial Management/Raising and Investing Money | 3 |
| ADMN 940 | Managing Operations | 3 |
| ADMN 960 | Marketing/Building Customer Value | 3 |
| ADMN 970 | Economics of Competition | 3 |
Accelerated Master’s programs offer qualified University of New Hampshire undergraduate students the opportunity to begin graduate coursework in select graduate programs while completing a bachelor’s degree. Accelerated master's programs are designed to provide students with an efficient and cost-effective pathway to earn both a bachelor's and master's degree or graduate certificate, enhancing career opportunities and long-term earning potential.
*Some exceptions apply.
*Some exceptions apply.
This graduate degree program is approved to be taken on an accelerated basis in articulation with the following undergraduate program(s):
| Code | Title | Credits |
|---|---|---|
| Analytics (B.S.) | ||
| Business Administration (B.S.) | ||
| Data Science (B.S.) | ||
| Students select from the following approved 800-level courses that can be completed in the undergraduate senior year for dual credit: | ||
| DS 872 | Predictive Analytics and Modeling | 3 |
| DS 874 | AI and Emerging Technologies in Business | 3 |
Students may complete up to 6 graduate (800-level) course credits while completing a bachelor's degree. This coursework will count as dual-credit toward both the bachelor's and master's degrees.
Applications must be completed by the following deadlines in order to be reviewed for admission:
Application fee: $65
Campus: Durham
New England Regional: Not Needed
Accelerated Masters: Yes (for more details see the accelerated masters information page)
Students claiming in-state residency must also submit a Proof of Residence Form. This form is not required to complete your application, but you will need to submit it after you are offered admission, or you will not be able to register for classes.
If you attended UNH or Granite State College (GSC) after September 1, 1991, and have indicated so on your online application, we will retrieve your transcript internally; this includes UNH-Durham, UNH-Manchester, UNH Non-Degree work and GSC.
If you did not attend UNH, or attended prior to September 1, 1991, then you must upload a copy (PDF) of your transcript in the application form. International transcripts must be translated into English.
If admitted, you must then request an official transcript be sent directly to our office from the Registrar's Office of each college/university attended. We accept transcripts both electronically and in hard copy:
Transcripts from all previous post-secondary institutions must be submitted and applicants must disclose any previous academic or disciplinary sanctions that resulted in their temporary or permanent separation from a previous post-secondary institution. If it is found that previous academic or disciplinary separations were not disclosed, applicants may face denial and admitted students may face dismissal from their academic program.
Recommendation letters submitted by relatives or friends, as well as letters older than one year, will not be accepted.
Students from UNH’s College of Engineering and Physical Sciences (CEPS) are eligible to waive one letter of recommendation. If you are a UNH CEPS applicant, please email Admissions Counselor Nathaniel Hunt at Nathaniel.Hunt@unh.edu for more information.
GMAT test scores are optional. Applicants may provide their GMAT or GRE scores to supplement their application or to be considered for department scholarships.
Please, request official test scores to be sent directly to the Graduate School by the testing service. Test scores more than five years old will not be accepted. Student copies and photo copies of scores are not considered official.
College level math such as Finite Math and/or Calculus 1,2 are required. Applicants with more of the following courses/skills tend to be more competitive for admission to the program: Linear Algebra (basic matrix operations), familiarity with basic statistics (descriptive and inferential) and at least one programming language (e.g., C++, Python, R, Java, SQL). Students lacking these fundamentals will have access to resources to gain the necessary background before joining the program.
Prepare a brief but careful statement regarding:
A current resume is required with your submitted application.
All applicants are encouraged to contact programs directly to discuss program-specific application questions.
Applicants that are applying to the MBA program are now able to apply to the MSBA, to start the MSBA immediately following the MBA. Applicants will fill out distinct applications for each program and transcripts, test scores, and statements of residency will only need to be submitted once. Applicants also pay only one application fee. Please check the box on your MBA application that signifies you are interested in applying to the stackable degree program. For questions on this new option please reach out to PaulCollege.Grad@unh.edu and they will be happy to assist you. Please note that the MSBA program requires a deposit while the MBA one does not.
Benefits:
This program requires an enrollment deposit of $500. If admitted the deposit will be due by the deadline specified in your admit letter. The enrollment deposit secures a seat in the program for an applicant and can be used towards tuition once the applicant starts the program. For more information please see our enrollment deposits help page.
Prospective international students are required to submit TOEFL, IELTS, or equivalent examination scores. English Language Exams may be waived if English is your first language. If you wish to request a waiver, then please visit our Test Scores webpage for more information.
Student Participants: Brendan O’Connor, Conor O’Regan, Riley Gardner, Vineeth Appala
Watergrass offers fundraising, membership, and volunteerism data management services for growing nonprofits concerned with environmental conservation and protection. The students have taken on this project to draw valuable insights from 15+ years of data from ~30 organizations. They have accomplished this by developing individual dashboards for each organization, an aggregated dashboard for Watergrass employees, and engineering a predictive model. As a result, each organization that works with Watergrass will be able to investigate specific questions they have pertaining to their donors/fundraising campaigns and Watergrass will be able to provide a high-level overview of the volunteerism landscape.
Student Participants: Anthony Morin, Bryson Herring, Carter Mercer
EB Capital Markets generates its current financial market reports by performing all of its data collection manually and wanted a more interactive client experience. This team evaluated the leading financial APIs and web hosting services to find the best value for EBC where they automated EBC’s data collection via IEXCloud and AlphaVantage and created a proof-of-concept website for clients. EB Capital now has an automatically populated database, and a proof-of-concept website that can be further developed and launched.
Student Participants: Karen Zhang, Nisha Naugain, Tamilazhagan Ezhil
J&J’s medical devices section deals with bone replacement surgeries focused on Knees and Hips. Inaccurate prediction of part sizes increases cost in production, inventory and supply chain. This team was assigned with tasks of generating insights from the sample dataset and building machine learning models with higher prediction accuracy. The team accomplished the tasks by building dashboards which showcase quantitative insights on top performers across different variable and identified potential business expansion opportunities. The team also build Machine Learning models which are able to predict the required part size that reduces the overall cost for this department.
Student Participant: Jon Olson
Currently, all the incoming freshmen in the Paul School of Business and Economics are being assigned to their required freshmen classes manually by advisors. This team was tasked with finding a way to assign students more efficiently to predetermined "bundles" of classes. Through a combination of front-end data validation in Excel and an R script that performs the assignment function, the team was able to engineer a process that assigns roughly 90% of the students and eliminates much of the time spent on this tedious task.