Business Analytics (M.S.)

Business Analytics (M.S.)
Masters in Business Analytics students studying a problem

Harness the power of data to develop insight into business decisions and organizational questions. The Master of Science in Business Analytics will develop your skills in data analysis and visualization, predicting/forecasting future probabilities and trends, and helping leaders make decisions in resource-constrained environments. The program is perfect for those with undergraduate preparation in quantitative oriented business, engineering, mathematics/statistics, economics, or STEM fields. An introductory level of exposure to Calculus is expected. This program is part of the college's Business Analytics Initiative.

As of September 2024, submitting a GMAT or GRE test score is optional for admission. 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.

  Credit Hours: 36   |     Courses: 12  


Why get a master’s degree in business analytics?

A master’s degree in business analytics equips you with knowledge and skills to excel in the data-driven business landscape. It offers a comprehensive understanding of data analysis, statistical modeling, and predictive analytics, enabling you to extract valuable insights and make informed business decisions. With the increasing important of data in modern organizations, an M.S. in Business Analytics provides a competitive edge by bridging the gap between business and data science.  

Why choose UNH’s M.S. in business analytics program?

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, giving students a full understanding of the discipline. 
Center for Business Analytics: The center provides a place for students to get involved in real-world research with companies, learn from industry experts, and network. 
AACSB Accredited: AACSB is the hallmark of excellence in business education, a distinction earned by fewer than 5% of the world's business schools.

POTENTIAL CAREER AREAS

  • Data Scientist
  • Analyst and planner (Six Sigma)
  • Business intelligence analyst
  • Data analyst
  • Manager of modeling and analytics
  • Market research analyst
  • Pricing and revenue optimization analyst
  • Quantitative analyst/modeler
Contact

Decision Sciences
Professor
Phone: (603) 862-3329
Office: Decision Sciences, Paul College Rm 260C, Durham, NH 03824
Contact

Request Information

We use text messages to communicate important event and application information (msg and data rates may apply).



  • G.T. Ozer headshot
    As cities worldwide grapple with the impact of short-term rentals, a study led by Gorkem Turgut (G.T.) Ozer, an assistant professor of decision sciences at the UNH Peter T. Paul School of Business and Economics, challenges common perceptions about the noise impact of peer-to-peer home-sharing platforms in urban areas. …
    Learn More
  • Naresh Rapolu ‘24G
    Student Spotlight: Naresh Rapolu ‘24G
    Sometimes, you must travel a great distance to pursue your dreams.   This is especially true for Naresh Rapolu ‘24G, who traveled from India to the United States in August 2023 to pursue a career in finance initially.   Naresh earned a master’s degree in finance from Loyola Academy in Hyderabad, India, in 2020 and was working as a finance analyst at Verity Knowledge…
    Learn More
  • Pegah Karimi portrait in the Paul College courtyard
    Master's Student Spotlight
    This was a robust program filled with technology, statistics, mathematics, and analytical tools – and the people here really care.
    Learn More
  • Lisa Olsson headshot
    Master's Student Spotlight
    I'm so grateful for my experience at UNH Paul College! It was the perfect place for me to pursue my master's degree and continue my athletic career.
    Learn More
  • Dagny-Wilkins '22 MSBA
    Q&A with Dagny Wilkins '21, '22, MS Business Analytics
    Dagny Wilkins earned her bachelor's degree at Paul College and received a scholarship to continue her studies toward her master's degree in business analytics. She fell in love with the campus and atmosphere and says the professors are "amazing," the curriulum and good "structure and flow" as they build on one another. Why did you decide to pursue a graduate degree? Why your…
    Learn More

Curriculum & Requirements

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 and quantitative decision making in modern organizations. Graduates from the MSBA program will be armed with skills in data storing/pre-processing/visualization, in building prediction/forecasting models, and in formulating/solving optimal business decision problems when faced with limited resources. The MSBA program places heavy emphasis on building both the theoretical fundamentals and the practical applications of business analytics 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 three courses per term), or 12 months (taking two to three courses per term). The MSBA program requires that applicants possess an introductory level of exposure to Calculus and programming. General familiarity with basic concepts from Calculus I, Calculus II (e.g. functions, derivation, and integration), and Linear Algebra (basic matrix operations) as well as prior exposure to at least one programming language (C++, Python, R, Java, SQL, etc.) are highly desirable. Any students without Calculus, Linear Algebra, and programming fundamentals will have access to resources to acquire the relevant background prior to joining the program.

In addition, applicants are required to have a bachelor’s degree and to submit a GMAT or GRE test score from within the last five years. The emphasis will be on the quantitative score for both tests, and waivers will be considered on a case-by-case basis. International students are also required to submit a TOEFL score (waivers will be considered on a case-by-case basis).

The field of Business Analytics has grown rapidly over the last few years due to technological advancements and the ease of access to data for decision making in organizations ranging from small to large. Every firm is interested in hiring and training individuals with analytical capabilities to sustain competitive advantage in the marketplace. A list of examples of careers in business analytics is as follows:

  • Business Analytics & Optimization Consultant
  • Business Case Modeling Analyst/Consultant
  • Business Intelligence Analyst
  • Decision Science Analyst
  • Analyst & Planner (Six Sigma)
  • Internal Quantitative Marketing Strategy Consultant
  • Manager of Modeling and Analytics
  • Pricing & Revenue Optimization Analyst
  • Project Manager/Promotion Response Analytics
  • Quantitative Analyst – Asset Allocation
  • Quantitative Analyst – Insurance Risk
  • Quantitative Marketing Solutions Director & Manager
  • Quantitative Modeler
  • Quantitative Research Analyst
     

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.  

The Foundation
Mathematics for Business Analytics (Online Module) 10
Core Courses
DS 801Business Intelligence3
DS 802Probability and Simulation3
DS 803Fundamentals of Statistical Analysis3
DS 804Exploration and Communication of Data3
DS 805Statistical Learning3
DS 806Optimization Methods I3
DS 807Modeling Unstructured Data3
DS 808Optimization Methods II3
DS 809Time Series Analysis3
DS 810Big Data and AI: Strategy and Analytics (Capstone)3
Two (2) Approved Electives 26
Total Credits36
1

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. 

2

Below is a list of suggested elective courses from the MBA program.  Other 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.

Approved Electives
ADMN #827Hospitality Operations & Financial Metrics3
ADMN 829Corporate Financial Strategy3
ADMN 830Investments3
ADMN 834Private Equity/Venture Capital3
ADMN 846International Financial Management3
ADMN 852Marketing Research3
ADMN 863Marketing Analytics3
ADMN 864New Product Development3
ADMN 898Topics (Digital Marketing)3
ADMN 898Topics (Applied Financial Modeling and Analytics)3
ADMN 898Topics (Big Data in Finance)3
ADMN 898Topics (Project Management)3
ADMN 912Managing Yourself & Leading Others3
ADMN 919Accounting/Financial Reporting, Budgeting, and Analysis3
ADMN 926Leveraging Technology for Competitive Advantage3
ADMN 930Financial Management/Raising and Investing Money3
ADMN 940Managing Operations3
ADMN 960Marketing/Building Customer Value3
ADMN 970Economics of Competition3

The Accelerated Master of Science in Business Analytics (MSBA) option provides an opportunity for UNH undergraduate students to begin graduate study while completing a bachelor's degree—making you stand out among other job applicants with advanced skills and increasing your earning potential. Qualified students can begin earning graduate credit during their undergraduate programs, allowing them to maximize their time on campus and return on their educational investment.

Eligibility

  • Current UNH undergraduate student with a GPA of 3.2 or higher.
  • Apply before completing 90 undergraduate credits.
  • Acceptance into the Accelerated Master’s Program before taking 800-level courses.

Accelerated MSBA Requirements

  • Qualified students may complete up to 6 credits at the 800-level during their undergraduate studies, earning dual credit toward their B.S. and M.S. degrees.
  • Once a qualified student matriculates into the MSBA program (after completing undergraduate degree), the student will take a minimum of 30 additional credits to complete the 36 credit MSBA program requirement.
  • Students are required to earn a B- or better in graduate courses to earn credits toward their degree.

Approved Dual Credit Electives 

To earn graduate credits, students need to enroll in the 800-level sections of approved dual credit courses. The 800-level sections require additional work beyond the requirements for the undergraduate versions. The following is the list of approved dual credit courses for the accelerated path in the MSBA program: 

DS 898Topics in Business Analytics (Topics in Decision Sciences II, E-Business)3

  • Students will demonstrate knowledge of content areas of business analytics.
  • Students will demonstrate the ability to solve complex business problems.
  • Students will demonstrate effective oral communication behaviors.
  • Students will demonstrate effective written communication behaviors.
  • Students will demonstrate ability to cleanse, aggregate and visualize data.
  • Students will demonstrate ability to apply statistical inference techniques to business and societal problems.
  • Students will effectively develop and interpret optimization and simulation software output to inform business or policy decision making.

Apply now

Deadlines

Applications must be completed by the following deadlines in order to be reviewed for admission:

  • Fall: February 15 (to be considered for merit-based financial assistance); June 1 (regular)
  • Spring: N/A
  • Summer: N/A
  • Special: Contact Program

Application fee: $65

Campus: Durham

New England Regional: CT RI VT

Accelerated Masters: Yes (for more details see the accelerated masters information page)

New Hampshire Residents

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.

Transcripts

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:

  • Electronic Transcripts: Please have your institution send the transcript directly to grad.school@unh.edu. Please note that we can only accept copies sent directly from the institution.
  • Paper Transcripts: Please send hard copies of transcripts to: UNH Graduate School, Thompson Hall- 105 Main Street, Durham, NH 03824. You may request transcripts be sent to us directly from the institution or you may send them yourself as long as they remain sealed in the original university envelope.

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.

Letters of Recommendation: 2 Required

Recommendation letters submitted by relatives or friends, as well as letters older than one year, will not be accepted.

Test Scores: GMAT Optional

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.

Personal Statement/Essay Questions

Prepare a brief but careful statement regarding:

  1. Reasons you wish to do graduate work in this field, including your immediate and long-range objectives.
  2. Your specific research or professional interest and experiences in this field.

Resume

A current resume is required with your submitted application.

Important Notes

All applicants are encouraged to contact programs directly to discuss program-specific application questions.

Stackable MBA/MSBA degree option: Complete two graduate degrees in two years

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:

  • STEM OPT opportunities after completing the MSBA
  • All students: Two MBA courses will count as MSBA electives, reducing the MSBA tuition in year two

Enrollment Deposit

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.

International Applicants

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.

Explore Program Details

  • Team Watergrass

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.

  • Team EBC

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. 

  • Team JNJ

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.

  • Team UNH

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.

Take the Next Step

student studying

LEARN HOW TO APPLY

UNH campus at sunset

SCHEDULE A VISIT

students walking around UNH campus

REQUEST INFORMATION

Career Outcomes