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Master of Science in Business Analytics

Unleash the real power of data.

With so much at stake in the world of business—increasing revenue and brand recognition, expanding market influence and understanding consumer behavior—it isn’t enough anymore to simply analyze data: modern-day business analytics requires an advanced level of expertise and insight that data-driven companies rely on to give their organizations a competitive advantage in a crowded field. Norwich University’s online Master of Science in Business Analytics (MSBA) is the advantage you need—whether you currently work as a data analyst or are an aspiring professional in a related field. 
The Norwich MSBA prepares students with comprehensive analytic tools and techniques—including the latest analytic and business software, machine learning, artificial intelligence, predictive modeling, data mining and database management, legal governance, ethics and more—to influence and inform modern business practices and executive-level decisionmaking. As an applied program, the MSBA utilizes relevant, real-world examples and problem-solving strategies that encourage students to bring their own data into the classroom, including data sets beyond the world of business. 
It’s a path upward in an exciting, expansive field that is expected to grow by more than 30% in the next five years. And guess what? The skills MSBA students acquire are applicable across every industry in which sophisticated data collection, analysis, strategy and presentation are sought after, such as information technology, finance, government, healthcare, education, human resources, and insurance.
Master the skills to make data-driven decisions with the Norwich MSBA
  • Master of Science

Quick Info


Courses completed entirely online


Maximum number of students per class


Average time to program completion

Why Norwich

  • Learn from expert faculty members dedicated to your success, who provide one-on-one feedback, guidance, and a personal learning experience.
  • Acquire a sophisticated level of expertise that data-driven companies seek.
  • Prepare for the world of business analytics with a comprehensive data analysis education, including the latest analytic and business software, machine learning, artificial intelligence, data mining, database management, predictive modeling, and more.
  • Impact your current career with practical skills and real-world data sets.
  • Balance school, work and military schedules with a flexible curriculum.
  • Bridge a non-computer science, business or quantitative background to MSBA program with prerequisite courses
  • Benefit from a university recognized for academic excellence. U.S. News & World Report ranks Norwich University in the Top 100 for Regional Universities in the North (rankings based on undergraduate programs).
  • Start with no GMAT or GRE.

Accreditation and Recognition

logo, new england commission of higher education

Norwich University is accredited by the New England Commission of Higher Education (formerly the Commission on Institutions of Higher Education of the New England Association of Schools and Colleges, Inc.).


Scholarship Opportunities

Norwich University offers a range of opportunities to help you lower your overall tuition costs. Contact our admissions team today to learn more about the below options. Please note that scholarships are not additive. In addition to the below scholarships, students may also be eligible for discounts if their organization partners with Norwich University.

Achievement Scholarship

Recognizing your past academic and professional achievements, the Achievement Scholarship is for newly enrolled students. You could receive a $4,200 scholarship, which will be distributed equally over the courses of the program. To be considered for this scholarship opportunity, submit your application package (application form, resume, letter of intent, and essay (if applicable)) for your program of interest at least one week prior to the upcoming application deadline. The Scholarship Selection Committee will review all application materials and select the recipient. 

Norwich Alumni Scholarship

Norwich University alumni and their spouses, parents, and children are eligible to receive our Alumni Scholarship. The scholarship is award for each term of enrollment at $425 per term.

Active Duty Military Scholarship

Active duty, National Guard, and Reserve personnel are eligible to receive a $250 award for each term of enrollment in an online master’s degree program.


Business Analytics Curriculum

Business Analytics Curriculum

The MS in Business Analytics requires successful completion of 30 credits of study, which includes 10 courses at 3 credits each. For applicants who do not hold a bachelor’s degree in science, mathematics, computer science, business or information systems, or do not have a strong quantitative background, Norwich offers preparatory courses that are designed to prepare students for the Master of Science in Business Analytics coursework. Preparatory course available include data science, programming and statistics. Students must satisfactorily pass the preparatory course(s) in order to be admitted into the business analytics degree program. Preparatory courses do not satisfy degree requirements. Speak with your admissions advisor to learn more.

Our graduates can:

  • Demonstrate comprehensive skills in research methodology, specifically quantitative analysis.
  • Identify and apply the fundamental concepts of statistics, data analysis, quantitative modeling, simulation, and optimization to solve unique problems.
  • Analyze data comprehensively and apply it to managerial decision-making.
  • Learn data handling and database management in practical applications.
  • Apply big data modeling using current business software, tools, and techniques.
  • Gain skills with modern data mining using simulations and reporting.
  • Apply and understand the need for legal governance and ethics as it applies to business decision-making.
  • Produce quality products to influence and inform business practices, including reports, demonstrations, and presentations.
  • Applied Regression with Research Methods
    BUAN500 3 credit hours

    This course is designed to be a practical introduction to regression application and analysis, one of the most powerful and useful tools in the field of statistics. Although regression is commonly used among statisticians, social scientists, and data scientists, it is also extremely useful for a variety of other business settings. Understanding regression will teach students how to think carefully about causality and how to use data to make better decisions. Exploring proper research methods, such as quantitative, analytical and statistical skills, students will learn to use these research strategies in a wider application of regression. Topics include simple linear regression, multiple regression, decision analysis and linear programming.

  • Problem Solving in Applied Data Science
    BUAN501 3 credit hours

    This course introduces several important modeling approaches for decision-making. The course focuses on deterministic optimization problems including linear, integer and possibly dynamic programming. Additionally, the course addresses decision-making under uncertainty. The intent throughout is on understanding the problem, formulating a suitable model, finding a solution, interpreting it and performing sensitivity analysis. The course seeks to provide an intuition for how different techniques work, along with experience in applying them to real problems and in presenting results and recommendations in a clear and persuasive manner to specialists and non-specialists alike.

  • Information Visualization and Communication
    BUAN514 3 credit hours

    This course teaches the skills necessary to communicate information about data clearly and effectively through written, oral and visual means. Students will learn and practice with advanced graphical tools to effectively communicate. The course will build from the understanding of data to the presentation of the analysis. Data storytelling will provide tools to effectively communicate ideas, summarize, influence, explain, persuade and provide evidence to an audience. Visualization can convey patterns, meaning and results extracted from multivariate, geospatial, textual, temporal, hierarchical and network data. During the course students will deliver presentations using these techniques and will also learn to critically evaluate other presentations. Pre-req: successful completion of BUAN 500 and BUAN 501.

  • Governance, Security, Risks and Ethics in Business Analytics
    BUAN515 3 credit hours

    This course will examine the role and impact of data analytics and the use of intelligence in business and society, with emphasis on legal, professional and public policy issues. The course will include an examination of data analytics to facilitate learning about legal standards for private organizations using data analytics techniques in various strategic business contexts. Students will consider legal issues across the stages of the data life-cycle from collection to analysis to decision-making to review. This is a dynamic course due to the constantly evolving national and global regulatory landscape which presents a rich basis for student contemplation and discussion. Specific topics in the course curriculum include information privacy law such as U.S. tort law, federal statutory and administrative law and constitutional protection of civil liberties; European Union data privacy regulation; cyber-intelligence and cyber-security regulation; intellectual property rights with respect to ownership of input and output data; contractual liability, specifically with respect to third-party reliance on data analysis; competition law and competitive intelligence. Pre-req: successful completion of BUAN 500 and BUAN 501.

  • Data, Models and Effective Organizational Decisions
    BUAN570 3 credit hours

    This course introduces leadership strategies in the use of data implementation. Management and decision making at the various levels of leadership, from middle management to corporate levels. Students are expected to understand the managerial challenges and solutions for corporate data management.

  • Predictive Analytics, Relational Database and Data Transformation
    BUAN510 3 credit hours

    The use of predictive analytics includes a variety of statistical and machine learning techniques and applications in a business environment. The primary goal of predictive analytics is to discover and apply relationships found in datasets in order to make predictions about the future or otherwise unknown events. In this hands-on course, students will be introduced to concepts related to constructing, testing, and applying quantitative models in various business settings. From this perspective, students will utilize major software tools in order to conduct an analysis of continuous, classification and clustering models. Upon completion of this course, students will gain insight into how models are constructed and how predictive models can improve business. Pre-req: successful completion of BUAN 500 and BUAN 501.

  • Data Mining for Predictive Decision Making
    BUAN512 3 credit hours

    This course introduces data mining or knowledge discovery to provide business intelligence by analyzing massive amounts of data to find interesting patterns that can be used to assist decision making or provide predictions. Topics include decision trees, Bayesian classification, clustering, sequence clustering, association rules, time series analysis, neural networks, and others.  Students are expected to analyze real-world data in business using data mining software. Pre-req: successful completion of BUAN 500 and BUAN 501.

  • Big Data, Business Process and Enterprise Analytics
    BUAN513 3 credit hours

    Big data analytics is the application of analytic techniques to very large, diverse data sets that often include varied data types and streaming data. Students will learn how to define big data and big data analytic techniques and review big data use cases. Big data analytics explores business and customer interactions from data that seldom finds its way into a data warehouse or standard report.  This data is often unstructured data coming from sensors, devices, third parties, internet applications, and social media; much of it sourced in real time on a large scale. Using advanced analytics techniques such as predictive analytics, data mining, statistics, and natural language processing, businesses can study big data to understand the current state of the business and can track evolving aspects such as customer behavior. Pre-req: successful completion of BUAN 500 and BUAN 501.

  • Prescriptive Analytics, Non-Relational Database and Location Based Data
    BUAN511 3 credit hours

    The use of prescriptive analytics includes multiple techniques and applications that recommend which course of action a decision maker should take within a business environment. The primary goal of prescriptive analytics is to use these techniques in order to determine optimal strategies that can improve the results related to business decisions. In this hands-on course, students will be introduced to concepts related to developing various linear and non-linear models using major software tools that are commonly used by business professionals. From this perspective, students will conduct an analysis of the assignment, transportation, and network models as well as investigate business scenarios that require additional theories such as integer and goal programming. In addition, students will also develop simulation models and utilize decision analysis techniques and strategies in order to explore situations when future events are uncertain. Upon completion of this course, students will gain insight into how various models are constructed, and also gain insight into how prescriptive models can improve business decision making. Pre-req: successful completion of BUAN 500 and BUAN 501.

  • Practicum in Business Analytics
    BUAN571 3 credit hours

    The analytics practicum provides the student opportunities to apply techniques, applications, concepts, and models from prior course work in the Master of Science in Business Analytics (MSBA) program to support decision-making under uncertainty in a simulated competitive business environment. Students will apply their course material from the MSBA program to a consulting or simulated business experience. Students will define a business problem to address, assess the organization and its context, and suggest solutions and an action plan for implementing the solution. Upon completion of the practicum, students will have been exposed to the outcomes of their strategic and tactical approaches to managing a business.


At a Glance

  • No GMAT or GRE required
  • Undergraduate GPA of 2.7 or better preferred

Admissions Requirements »

Eligibility Requirements

  • A bachelor's degree from a regionally or nationally accredited U.S. institution, or an equivalent degree from a foreign institution, as evaluated by WES, IERF, SpanTran, or CED.
  • Strong qualitative background/experience is recommended (preparatory courses are available)
  • If English is not your first language, proof of English language proficiency is required. This can be demonstrated in one of three ways:
    • TOEFL - a minimum score of 550 (paper-based test) or 80 (Internet-based test) is required.*
    • IELTS – a minimum composite score of 6.5 is required.*
    • The applicant holds a baccalaureate or master’s degree from a college/university/institution in which the primary language of instruction was English.

Please Note: All eligibility requirements are expected to be met unless noted in specific articulation agreements or memoranda of understanding (MOUs). If applicants do not have the proper background/experience, preparatory courses in statistics, data science and/or programming may be required prior to enrolling in the Master of Science in Business Analytics program.

Application Process

We encourage you to contact an admissions advisor (see below) if you need help at any stage of the application process. You will be required to submit the following items:

  • Application form
  • Resume that includes 3 professional references with contact information
  • Official transcript of your undergraduate degree from a regionally or nationally accredited university
  • Letter of intent
  • Proof of English language proficiency if applicable (TOEFL)

To contact an admissions advisor:

Phone: 802-962-4330

Next Start Date

Monday, June 5, 2023

Application Deadline

Monday, May 8, 2023

Contact Admissions

Monday - Friday: 8 a.m. to 4:30 p.m. EDT

Extended hours available by appointment

Call: 1-802-962-4330

  • student writing in notebook
    Transfer Credits
    A maximum of nine graduate credits is transferable to this program. Transfer credits only are awarded for seminars that cover the same subject areas as a Norwich Business Analytics seminar and are less than ten years old.
  • student at commencement
    International Admissions
    Norwich University welcomes students from all countries who want to study through our online programs. You must complete all the steps in the admission process.
  • Norwich alum, Ben Bragdon
    Norwich Alumni Benefits
    Reconnect with Norwich to complete your master's degree. As apart of our alumni community, you are eligible for a $2,500 scholarship and other benefits.

Non-Discrimination Statement

Norwich University, in compliance with Title IV of the Civil Rights Act of 1964, Title IX of the Education Amendment of 1972, and Section 504 of the Rehabilitation Act of 1973, does not discriminate on the basis of race, religion, color, national origin, age, sex, or physical handicap in any of its policies, practices, or procedures.

Tuition & Fees


Norwich’s online MSBA provides a top-notch educational experience. We work hard to make it affordable. Financial aid and several strategies can help finance your education. Norwich is committed to making this often-difficult process easier for you.

Tuition at a Glance

  • Credit Hours: 30
  • Cost Per Credit Hour: $850

2021-22 Tuition and Fee Schedule

Rate Per Credit
Additional Expenses Total
  • Technology - $300/term
  • Library - $75/term
  • Graduation - $150/one time

Careers & Outcomes

Worldwide big data market revenues are projected to increase from $42 billion in 2018 to $103 billion by 2027, creating a high demand for professionals with the skills to extract actionable insights and strategies.* This demand has created a lucrative career field, with management analysts earning a median salary of $83,610 per year, according to the U.S. Bureau of Labor Statistics.

Our graduates can be prepared for roles such as:

  • Business Analyst
  • Data Scientist
  • Data Engineer
  • Pricing Analyst
  • Financing Analyst
  • Statistician
  • Chief Information Officer
  • Chief Administrative Officer


Faculty & Staff

Program Director

headshot ellis
Marcus Ellis

Dr. Marcus Ellis has more than 15 years of executive and teaching experience in data science, data mining, machine learning, predictive modeling, and more. Dr. Ellis has built and led data science, data analytics, data engineering, data operations, and pricing teams for such companies as Red Ventures, Lowe’s, Staples, and more, and has consulted for companies from a variety of industries, including banking, insurance, healthcare, and retail.
Dr. Ellis brings these real-life experiences to the MSBA curriculum and incorporates practical, real-world cases in each course. His teaching philosophy is that students want to learn things in class today that they can apply at work the next day. In many cases the assignments are modified to allow students to explore data sets and problems that are relevant to their day-to-day, emphasizing practical application and meeting students where they are.
Dr. Ellis earned his bachelor’s degree from High Point University, a master’s in finance from Boston University, a master’s in data science from Northwestern University, and a doctorate in business administration and econometrics from Sacred Heart University.
Married with two kids, Dr. Ellis loves family time, working out, and spending as much time at the beach as possible.

Meet Marcus »

Program Staff

Benjamin Hulbert
Associate Program Director
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Toni Grout, MPA; M.S.
Student Support Advisor

Frequently Asked Questions

For what types of jobs would the Master of Science in Business Analytics prepare students?

Norwich's MSBA prepares students for positions such as management analysts, market research analysts, financial analysts, cost estimators, operations research analysts, budget analysts, actuaries, statisticians, and mathematicians. 

What are the program prerequisites?

Because success in the program requires a strong quantitative background, individuals without a bachelors degree in mathematics, information systems or business will need to complete the appropriate pre-requisite coursework before enrolling in the M.S. in Business Analytics program. The prerequisite coursework will vary according to the bachelor's degree discipline and workforce credentials of the applicant. The Program Director of the M.S. in Business Analytics will determine the number and level of prerequisite courses required of applicants without sufficient academic preparation for this degree. 

Are scholarships available?

Norwich University offers several scholarships. They are awarded based on merit, talent, or financial need. Learn more about available scholarship opportunities.

Are there tuition discounts?

If your company is a Norwich partner, you may be eligible for 10% discounted tuition. Ask your human resources department or check the current list of Norwich partners to find out. 

Does Norwich accept transfer credits?

Transfer credits, up to a maximum of one-third of the total credits of the graduate degree, may be awarded to those students who have completed graduate-level seminars at other regionally- or nationally accredited institutions. In the case of the MSBA, a maximum of nine graduate credits is transferrable to the program. Transfer credit is only awarded for seminars that cover the same subject areas as a Norwich MSBA seminars and are less than ten years old. Learn more about Norwich University’s transfer credit policy.