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Master of Science in Business Analytics

Grow Your Analytics Skills to Meet Job Demands

According to a 2020 Business Intelligence report, predictive and prescriptive analytics are among the top 10 trends for business intelligence in 2020. Others include data quality management, data discovery, data automation, and embedded analytics.* The Norwich online Master of Science in Business Analytics (MSBA) can prepare you to work with these important and growing business analytic tools.

*Datapine

Degree
  • Master of Science
Concentrations
  • No concentrations at this time

Quick Info

1 Week Residency

Visit campus for culminating experience

15 Students

Maximum number of students per class

15 Months

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.
  • Apply for one of four start dates.
  • 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).

Accreditation and Recognition

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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.).

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Recognized for academic excellence, U.S. News & World Report ranks Norwich University in the top 100 for Regional Universities in the North. Rankings are based on undergraduate programs.

 

Help us learn more about your experience and see if you qualify for the Business Analytics program.

Curriculum

Core Curriculum

The MS in Business Analytics requires successful completion of 30 credits of study, which includes 10 courses at 3 credits each. Applicants with a bachelor’s degree in a field other than mathematics, business or information systems must take two pre-requisite or bridge courses.

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
    BA500 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
    BA501 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.

  • Predictive Analytics, Relational Database and Data Transformation
    BA510 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 BA 500 and BA 501.

  • Prescriptive Analytics, Non-Relational Database and Location Based Data
    BA511 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 BA 500 and BA 501.

  • Data Mining for Predictive Decision Making
    BA512 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 BA 500 and BA 501.

  • Big Data, Business Process and Enterprise Analytics
    BA513 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 BA 500 and BA 501.

  • Information Visualization and Communication
    BA514 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 BA 500 and BA 501.

  • Governance, Security, Risks and Ethics in Business Analytics
    BA515 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 BA 500 and BA 501.

Capstone Courses

  • Data, Models and Effective Organizational Decisions
    BA570 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.

  • Practicum in Business Analytics
    BA571 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.


Admissions

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 WESIERFSpanTran, or CED.
  • 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 understand (MOUs).

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
  • Official transcript of your undergraduate degree from a regionally or nationally accredited university
  • Letter of intent
  • One letter of recommendation from a professional or academic contact*
  • Proof of English language proficiency if applicable (TOEFL)

* A second letter of recommendation may be requested, at the discretion of the Director of Admissions, program staff, or Program Director, in the admissions file review process.

To contact an admissions advisor:

Phone: 1-877.348.8153

Email: info@online.norwich.edu

Contact Admissions

Mon - Thurs: 9 a.m. to 9 p.m. EST
Friday: 9 a.m. to 3:30 p.m. EST
Extended hours available by appointment

 

Call: 1-877-348-8153
Email: info@online.norwich.edu

Phone: 1-877-348-8153
  • 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

About

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

2019-20 Tuition and Fee Schedule

Rate Per Credit
Term
Tuition
Additional Expenses Total
$850
$5,100
  • Technology - $300/term
  • Library - $75/term
  • Graduation - $150/one time
$27,525

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:

  • Management Analyst
  • Market Research Analyst
  • Financial Analyst
  • Cost Estimator
  • Operations Research Analyst
  • Budget Analyst
  • Actuary
  • Statistician
  • Mathematician

*Forbes.com


Faculty & Staff

Program Director

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James  Ehrman, PhD

Dr. James Ehrman is the Associate Dean for Graduate Studies for the College of Graduate and Continuing Studies. He earned his BA in history and political science from Creighton University in Omaha, Nebraska and his MA in history from Kansas State University in 1997. Professor Ehrman continued his studies in history at Kansas State University and completed his PhD in history in 2006. Dr. Ehrman has worked at Norwich University since 2004, when he accepted a visiting instructor position with the Norwich University undergraduate Department of History and Political Science. In 2006, Professor Ehrman served as the associate program director for the military history program at Norwich University. In 2007, he was appointed to the position of program director for the Master of Arts in Military History program and the Master of Arts in History programs and served until August 2017.

Meet James »

Program Staff

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Kelli Sutton-Bosley, MAH, MMH
Associate Program Director
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Jennifer  West, M.S.
Associate Director of Advising & ADA Coordinator

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.