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Master of Science
Data Analytics

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Program Overview

In a world driven by increasingly vast and complex data, employees are needed to decipher that data quickly and efficiently to help companies make more-informed business decisions and identify new opportunities for competitive advantage.

This program provides students with comprehensive overview of the statistical methods and analytical tools that are utilized in solving business challenges using data. The curriculum blends foundational courses in statistics with advanced applications of data analytics, covering key areas such as data mining, management, visualization, forecasting, modeling, optimization and simulation.

These skills address the growing demand for data-driven decision-making and prepare students for both technical and business challenges in the era of big data. The Data Analytics program is designed to equip students with the technical expertise, critical thinking skills, and practical experience needed to excel in this dynamic field.

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Program Outcomes

Upon graduation, be prepared to:

  • Gain the technical and analytical skills needed to succeed in the data analytics field.
  • Foster a deep understanding of data-driven decision-making and its impact on organizational success.
  • Learn to conduct analysis for advanced data mining strategies to optimize model performance.
  • Develop ethical and responsible data practices to ensure privacy, security and compliance.

Program Structure

  • Prerequisite: FIT1040 Spreadsheet Design for Business Solutions (or passing grade on challenge exam)
  • 2-year, 4-semester program with rolling enrollment
  • 3 courses per semester in-person
  • 36-credit program (39 credits if prerequisite course is needed)

What Makes JWU’s Master of Science in Data Analytics Unique?

  • Our program emphasizes real-world applications, ensuring that you’ll be prepared to tackle complex data challenges across industries such as healthcare, finance, marketing, technology and more.
  • Students work with tools like Python, R, SQL and Excel to learn how to clean, process and analyze large datasets.
  • You’ll practice statistical modeling to learn advanced statistical techniques and identify patterns, trends and correlations in data.
  • You’ll learn how to communicate data insights through compelling visualizations with tools like Tableau, Power BI and ggplot2 — then translate those insights into actionable business decisions and strategies.
  • You’ll explore predictive modeling and machine learning algorithms to forecast outcomes and optimize processes.

Sample Courses

  • Tools for Data Analytics
  • Data Mining
  • Big Data Analytics
  • Data Visualization
  • Statistical Analysis
  • Text & Web Mining Analytics
  • Optimization Simulation

Visit the Ã山ǿ¼éProvidence Catalog for a full course listing:

Career Possibilities

  • Data Analyst
  • Business Intelligence Analyst
  • Data Scientist
  • Data Engineer
  • Marketing Analyst
  • Financial Analyst
  • Healthcare Data Analyst

Some professions may require additional study, background checks, certifications, licenses, exams and/or experience as required qualifications for employment. Students are responsible for verifying that they can meet the employment requirements of potential employers.

 

Faculty Contact

Nick LaManna, M.Ed.
Assistant Dean
401-598-2505
Email

Ã山ǿ¼é; Tuition

Learn about the admissions process and tuition for JWU’s graduate programs. 

Graduate Admissions  Tuition & Fees

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