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I was able to immediately put my skills towards my job.
In the past 20 years, the amount of data generated and stored has grown exponentially. In order to meet the demand of the field, practitioners need to expand their mathematics, computer science, critical thinking, and problem-solving skills.
Through blending a focused core curriculum and a research-based capstone course, Norwich University’s online Bachelor of Science in Data Analytics program helps to equip students with the underlying principles of data analytics, as well as ethics and leadership values necessary to lead industries across different sectors to make rational decisions based on accumulated data.
Transfer up to 90-semester credits and completed your degree in two years or less.
Six start dates per year offer you the ability to enroll when it fits your schedule.
Coursework is rigorous, relevant, and immediately applicable to your career.
Learn how to use data analysis tools such as Python, R, and SAS.
All classes taken online
Program Entry Requirement
Typical time to program completion
Next Start Date
Application Deadline
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.).
The Bachelor of Science in Data Analytics program coursework explores the mathematical skills and programming language needed to analyze and interpret data. The capstone course culminates the program and provides an opportunity for students to apply the skills they learned throughout the program. Students must complete 120-semester credits (including transfer credits) to earn their bachelor's degree.
The program consists of the following curriculum areas:
Students complete the following coursework. The program's coursework culminates with the capstone.
A course on topics in precalculus mathematics involving algebra and trigonometry designed to prepare students to progress into introductory calculus. It is a rapid development of elementary topics in algebra to linear, quadratic, logarithmic, and exponential functions, followed by an analytical treatment of trigonometry.
A course on topics in analytical geometry progressing to differential and integral calculus. Presentation of a wide variety of practical application to technology, business, and science. Prerequisite: MA 107 or equivalent as determined by departmental placement testing.
A course in logic, sets, techniques of proof, relations and functions, directed and undirected graphs, algebraic systems, Boolean algebra, and emphasis on applications in various areas of computer science. Prerequisite: MA 108 or MA 121 and knowledge of computer programming.
A theoretical course on such topics as matrices, determinants, linear equations, vector spaces, bases and dimensions, linear transformations, eigenvalues, and eigenvectors.
This course provides a firm foundation for the employment of statistical methodology in data science. Examples drawn from data science will be used throughout. The course will cover descriptive statistics, probability, continuous and discrete statistical distributions, regression, multiple regression, maximum likelihood estimate, logistic regression and the likelihood ratio test. Pre-reqs: MA306.
This course covers the fundamental concepts of relational databases and the scripted Structure Query Language (SQL) language used to manage them. Students will learn how to design functional relational databases that conform to industry standards. Prerequisite: None
* This course is currently under development.
* This course is currently under development.
This course introduces students to the discipline and techniques of data analytics and their application in business. Students develop a theoretical and practical approach to business problem solving utilizing end-to-end business analytics processes as well as IT programming constructs to meet the business goals of an organization. Topics introduced include data and web mining, regression, classification, recommendation systems, text mining, data visualization, and neural networks implementation using a hands-on approach. Pre-reqs: none.
* This course is currently under development.
* This course is currently under development.
In this course, students learn how to analyze social media feeds, news, and full-text publications to derive insightful findings. They explore the foundations of network constructions, network types, communities, and the common network phenomena and algorithms. This is a hands-on course requiring proficiency in the programming language Python. Pre-reqs: A course on programming in Python or an equivalent language.
* This course is currently under development.
* This course is currently under development.
Students research and apply skills learned in an area of data analytics.
Data Analyst is a growing profession that requires mathematic, computer science, critical thinking, and problem-solving skills to improve business processes and systems effectively. According to the Bureau of Labor Statistics (BLS), there is a projected job growth of nearly 30% in the number of business and data analysis jobs by 2026. With Norwich University’s online Bachelor of Science in Data Analytics program, students may learn the skills needed to meet the demand of the field.
Small and large industries across the globe have years of data that needs to be extracted, which has created many career and employer opportunities for data analysts. Upon completion of Norwich’s mathematical and research-based program, graduates can enter into a variety of positions that focuses on gathering insight from raw data.
Examples of Career Paths:
Types of Employers:
Mark L. Parker is Associate Dean of Continuing Studies and Associate Professor, Interdisciplinary Studies. He has overall responsibility for the College’s online bachelor’s degree completion programs, two of its thirteen online master’s degree programs, and the online graduate Certificate in Teaching & Learning. He is part of the College’s quality control team for online courses and the faculty training and development activities. As Associate Professor he develops and teaches courses in communication, epistemology, and critical thinking. He received his bachelor’s and master’s degrees from Florida State University and his Ph.D. from the University of Maryland, Baltimore County. His area of specialization is technology-mediated communication in education and the workplace. In 2010, he was recognized by the University Continuing Education Association “for outstanding contribution to the body of research on distance education” for his work on the experiences of non-native speakers of English in fully online U.S. university courses. A veteran of the U.S. Air Force, he has twenty-five years of experience in higher education teaching and administration.
Meet some graduates from our online bachelor's programs.
From the very beginning of submitting my application to graduation day, the one-on-one interaction with the faculty and staff made me feel a part of the Norwich family.
I have always dreamed about graduating from Norwich University. Going to college was always on my bucket list and this was my motivation.
One of the key things to me for having a Norwich education is the name that comes with it; there’s pride and tradition that comes with having a Norwich University diploma. It’s finishing what I started here many years ago and I wanted something I can be proud to hang in my office.