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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.).
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.
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:
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.
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.
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.
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.
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.
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.
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 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.
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.
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
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Extended hours available by appointment
Call: 1-802-962-4330
Email: onlineadmissions@norwich.edu
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.
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
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Rate Per Credit |
Term
Tuition |
Additional Expenses | Total |
---|---|---|---|
$850
|
$5,100
|
|
$27,525
|
Our graduates can be prepared for roles such as: