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I was able to immediately put my skills towards my job.
Sunny Pradhan
Norwich Graduate, Class of 2018
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Bachelor of Science in Data Analytics
Transform Big Data
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.
Degree
- Bachelor of Science
Concentrations
- Students select elective courses
Why Norwich?
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.
Quick Info
100%
Online
All classes taken online
30
Credits
Program Entry Requirement
24
Months
Typical time to program completion
30
August
Next Start Date
2
August
Application Deadline
Accreditation & Recognition
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.).
Data Analytics Curriculum
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:
- Core courses give students in-depth knowledge of data science mathematical foundations and technology-enhanced techniques.
- Tailor your data analytics degree with Norwich’s range of course electives to complete the required 120 total credit.
- Demonstrate knowledge learned in data analytics in the Capstone project.
Core Curriculum and Capstone (50 credits)
Students complete the following coursework. The program's coursework culminates with the capstone.
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Pre-CalculusMA107 4 credit hours
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.
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Applied CalculusMA108 4 credit hours
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.
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Discrete MathematicsMA306 3 credit hours
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.
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Linear AlgebraMA310 3 credit hours
A theoretical course on such topics as matrices, determinants, linear equations, vector spaces, bases and dimensions, linear transformations, eigenvalues, and eigenvectors.
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Advanced Statistical MethodsMA332 3 credit hours
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.
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Relational Database Management w/ SQLCYBR230 3 credit hours
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
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Programming in Julia *CS145 3 credit hours
* This course is currently under development.
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Programming in Python *CS146 3 credit hours
* This course is currently under development.
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Introduction to Data & Business AnalyticsDTAN301 3 credit hours
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.
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Algorithm Design and Implementation *DTAN310 3 credit hours
* This course is currently under development.
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Introduction to Machine Learning & Artificial Intelligence *DTAN320 3 credit hours
* This course is currently under development.
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Introduction to Network ScienceDTAN330 3 credit hours
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.
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Data VisualizationDTAN344 3 credit hours
* This course is currently under development.
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CLIPS: Programming for Expert Systems *DTAN410 3 credit hours
* This course is currently under development.
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Data Analytics CapstoneDTAN400 6 credit hours
Students research and apply skills learned in an area of data analytics.
Admissions
Tuition & Fees
Career Opportunities in 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.
Career Outcomes
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:
- Business Analyst
- Data Entry Analyst
- Data Scientist
- Financial Analyst
- Market Research Analyst
- Operations Analyst
Types of Employers:
- U.S. Military
- Department of Defense
- Healthcare
- Finance and Banking
- Big Data Companies
- Technology Companies
Faculty & Staff
Program Director
Mark L. Parker, PhD
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.
Program Staff
Featured Faculty
Alumni
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.
Online Learning
Residency at Norwich
Learn More About our Online B.S. in Data Analytics Program
