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.

  • Bachelor of Science
  • 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

9 January

Next Start Date

12 December

Application Deadline

Accreditation & 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.).


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.

  • Pre-Calculus
    MA107 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. 

  • Applied Calculus
    MA108 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.

  • Discrete Mathematics
    MA306 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.

  • Linear Algebra
    MA310 3 credit hours

    A theoretical course on such topics as matrices, determinants, linear equations, vector spaces, bases and dimensions, linear transformations, eigenvalues, and eigenvectors. 

  • Advanced Statistical Methods
    MA332 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.

  • Relational Database Management w/ SQL
    CYBR230 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

  • Programming in Julia *
    CS145 3 credit hours

    * This course is currently under development. 

  • Programming in Python *
    CS146 3 credit hours

    * This course is currently under development. 

  • Introduction to Data & Business Analytics
    DTAN301 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.  

  • Algorithm Design and Implementation *
    DTAN310 3 credit hours

    * This course is currently under development. 

  • Introduction to Machine Learning & Artificial Intelligence *
    DTAN320 3 credit hours

    An introduction to the basic principles, techniques, and applications of Machine Learning and Artificial Intelligence. Coverage includes exploratory data analysis, data engineering and data preparation, model selection, various regression models and model evaluation. Students will experience programming in both R Studio and Python. (3 credits) Prerequisites: None

  • Introduction to Network Science
    DTAN330 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.

  • Data Visualization
    DTAN344 3 credit hours

    Data visualization is the art and science of turning data into readable graphics for the purpose of storytelling and enabling stakeholder to make data driven decisions. Students learn how to detect and articulate the stories behind data sets and communicate data findings in visual, oral, and written contexts for various audiences. Students become familiar with associated tools for data visualization.  Pre-req: NONE

  • CLIPS: Programming for Expert Systems *
    DTAN410 3 credit hours

    * This course is currently under development. 

  • Data Analytics Capstone
    DTAN400 6 credit hours

    Students research and apply skills learned in an area of data analytics.


At a Glance

  • An associate degree or minimum of 30 credits
  • Transfer up to 90 credits
  • Multiple start dates per year
  • Post-acceptance math placement test 

Admissions Requirements »

Next Start Date

Monday, January 9, 2023

Application Deadline

Monday, December 12, 2022

Contact Admissions

Monday - Friday: 8 a.m. to 4:30 p.m. EDT
Extended hours available by appointment


Call: 1-802-962-4330

  • students at residency
    Math Placement Test
    Upon acceptance into the university, incoming students are required to take a math placement test to determine which level mathematic course of the program is most appropriate based on your level of preparation.
  • transfer
    Transfer Credits
    You may receive the equivalent of up to 90-semester credits for training and prior learning that meet specific course requirements in the program.
  • three students sitting in office at residency, smiling at the camera. landscape photos are in the background
    What to Expect at Norwich
    From student support to classroom resources to exceptional faculty, Norwich has your online learning experience covered.

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


Achieving a bachelor’s degree is an investment in your future. To make earning your degree a more comfortable experience, Norwich provides multiple financial aid options and resources to help you finance your education. Contact our admissions team to learn more.

Tuition at a Glance

  • Credit Hours: 30-90
  • Credits Per Term: 3-12
  • Rate Per Credit Hour: $375 or $250 (active military)

2022-23 Tuition and Fee Schedule - Bachelor's Programs

Rate Per Credit Tuition Additional Expenses Total
$375 or $250 (active military) $750-$4,500

Technology - $150/term
Library - $100/term
Graduation - $150/one-time

$8,400 - $35,900

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 Staff

Toni Raftery, portrait
Toni Raftery, MPA, MBA
Associate Program Director


Meet some graduates from our online bachelor's programs.

portrait of steve

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.

Steve Gonzalez
Class of 2016
Bachelor of Science in Strategic Studies and Defense Analysis
portrait of kelley

I have always dreamed about graduating from Norwich University. Going to college was always on my bucket list and this was my motivation.

Kelley Lawrence
Class of 2016
Bachelor of Science in Criminal Justice
portrait of julie

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.

Julie Scribner
Class of 2015
Bachelor of Science in Criminal Justice

Online Learning

How do you fit an online program into your busy life?

Norwich has developed online programs to maximize your career potential. Get to know a few graduates -- with busy schedules -- and how they made their education fit into their lifestyles.

Kim Swasey

I am married and have a wonderful daughter. I love to go out with friends and take advantage of the outdoors.

My background
I am retired from the military and am now working as a contractor for the government.
How I succeeded at Norwich
As I work in the public administration sector as a contractor, I wasn't able to use any government resource to do school work (including my work computer), which meant I did all school work outside of normal working hours. I found the best time for me was very early in the morning when the house was quiet. Another critical piece was camaraderie with my classmates. You can persevere with your support system.

Frequently Asked Questions

Data Analytics FAQs

What can you do with a degree in data analytics?

With your degree in data analytics, you can enter or advance as a data analyst or business analyst in fields such as information technology, healthcare, finance, insurance and professional services. A bachelor's degree is a minimum requirement to get an entry-level job as a data analyst. With your online bachelor’s degree in data analytics from Norwich University, you will be better positioned to obtain an entry-level job or to continue to a graduate program.

Do I have to pick a concentration in the online BS in Data Analytics?

No, the online BS in Data Analytics program at Norwich University does not include concentrations or specializations.

Does the online BS in Data Analytics have a residency component?

While not required for completing your online bachelor's degree at Norwich University, there is an optional annual Residency Conference that provides unique educational and social engagement to culminate your time at Norwich.

What does a typical week look like as a student in the BS in Data Analytics program?

Norwich has developed online programs that provide a gateway, not a barrier, to maximize your career potential. Get to know a few graduates — with busy schedules — and learn how they made their education fit into their lives.

What’s an online degree at Norwich University like?

In the Norwich University online BS in Data Analytics, you'll learn in a flexible virtual classroom that allows you to access program content and contribute to class discussions anywhere and anytime. You will also interact frequently with peers and knowledgeable program faculty.

What are the online BS in Data Analytics faculty like?

Norwich faculty members embody the spirit of thinking and doing that has always informed Norwich’s academic model. Combining extensive academic and research credentials with career experience in the subjects they teach, our faculty members bring vast knowledge and real-world insight into the virtual classroom. They include nationally renowned subject matter experts, published authors and researchers, high-ranking retired military officers and accomplished professionals in various industries and sectors.

What type of support is available?

Upon enrollment, every Norwich student (including online students) gains access to an incredible network of people whose primary job is to help — from our student services advisers to our dedicated distance learning librarian and technical support team.

How can I help you?