A Bryant University student wears a VR headset while in a data visualization lab at the George E. Bello Center for Information and Technology.
A Bryant University student wears a VR headset while in a data visualization lab at the George E. Bello Center for Information and Technology.

Data Science

Developed with the insights of industry experts, Bryant’s innovative degree provides you with the tools to help businesses leverage data to make better decisions. The program combines programming, statistics, machine learning, big data management, and business knowledge.

At a Glance

What You’ll Learn:

  • The value of data and how to turn it into information using machine learning, data visualization, predictive analytics, and more
  • Content to prepare for Python, Amazon Web Services (AWS), Databricks, PowerBI, and other certifications

What You’ll Do:

  • Engage in hands-on learning in Bryant’s cutting-edge Data Science, Data Visualization, and Artificial Intelligence Labs
  • Complete a capstone project based on a real-world dataset and problem

Where You’ll Go:

  • Positions as a data engineer, data scientist, business intelligence analyst, machine learning engineer, software developer, data analyst, and more

Program Highlights

Data is a key resource for organizations today as technological innovation evolves. As businesses aim to stay competitive, they need new techniques to harness and analyze their data. Through Bryant’s Data Science major, you’ll learn to extract insights from vast amounts of data and translate that knowledge into tangible outcomes.

This interdisciplinary program draws on many fields, including mathematics and statistics, information technology, machine learning, programming, data engineering, predictive analytics, big data, and data visualization. As a Data Science major, you will:

  • Develop skills to participate in analytics/big data lifecycle, from problem definition and data acquisition to presenting results.
  • Focus on actionable outcomes and how to communicate those results to stakeholders.
  • Engage in applied learning through the execution of real-world projects, such as acting as a consultant for a company or applying your skills at an internship or co-op. 
Business Administration Minor Requirement

Because the data science major is an interdisciplinary program, students are required to complete a business administration minor to gain a well-rounded understanding of basic business principles. Courses include:

  • ACG 203: Principles of Financial Accounting
  • ISA 201: Introduction to Information Technology and Analytics
  • FIN 201: Financial Management
  • MGT 200: Management Principles and Practice
  • MGT 201: Operations Management
  • MKT 201: Foundations of Marketing Management

Because the data science major is an interdisciplinary program, students are required to complete a business administration minor to gain a well-rounded understanding of basic business principles. Courses include:

  • ACG 203: Principles of Financial Accounting
  • ISA 201: Introduction to Information Technology and Analytics
  • FIN 201: Financial Management
  • MGT 200: Management Principles and Practice
  • MGT 201: Operations Management
  • MKT 201: Foundations of Marketing Management
Data Science Capstone

Put your knowledge into practice through the Data Science Capstone. In this course, you’ll work closely with industry partners to solve a real-world problem from start to finish: defining the problem or opportunity, collecting and processing actual data, selecting and applying state-of-the-art data science techniques, and identifying actionable results. This hands-on project will test your skills in data acquisition, pre-processing and cleaning, visualization, transformation, model building and refining, presentation, and storytelling — and give you critical experience as you transition into your future career.

Put your knowledge into practice through the Data Science Capstone. In this course, you’ll work closely with industry partners to solve a real-world problem from start to finish: defining the problem or opportunity, collecting and processing actual data, selecting and applying state-of-the-art data science techniques, and identifying actionable results. This hands-on project will test your skills in data acquisition, pre-processing and cleaning, visualization, transformation, model building and refining, presentation, and storytelling — and give you critical experience as you transition into your future career.

Sample Courses

Our curriculum consists of engaging coursework that’s designed to prepare you for your future career. Just a few sample courses include: 

Introduction to Data Science ISA 210
Introduction to Programming ISA 221
Data Visualization ISA 310
Programming for Data Science ISA 330
Introduction to Machine Learning ISA 340
Database Management System Principles ISA 341
Infrastructure and Cloud Computing ISA 343

Where Our Students Go

Our graduates go on to major corporations and prestigious graduate programs, including:

  • Amazon
  • Amica Mutual Insurance
  • Blue Cross Blue Shield
  • CVS Health
  • Dell EMC
  • Brown University
  • MIT
  • University of California Berkeley
  • University of Connecticut
  • Worcester Polytechnic Institute

Cutting-Edge Facilities

The Data Science hub within the BELC features three state-of-the-art labs: the Data Science Lab, the Data Visualization Lab, and the Artificial Intelligence Lab. These labs function as active learning classrooms, allowing students to deepen their learning beyond traditional settings. They serve as collaborative spaces for students and faculty to explore the transformative potential of data science and AI in business.

Learn by Doing

Lessons from a textbook can only take you so far. That’s why experiential learning is at the core of your Bryant experience. You’ll engage in hands-on projects and opportunities beginning your very first year — building skills in critical thinking, learning how to adapt to challenges, and fostering your determination to succeed.