Bachelor of Science in Data Analytics

  • Total Credit Hours: 120
  • 12 - 24 months*
  • Tuition: $360 per credit hour**

Program Overview

Industries all over the world rely on skilled professionals to analyze data and improve efficiency. The online Bachelor of Science in data analytics from Husson University prepares students to fill these in-demand careers in a field that’s advancing quicker than ever before. While earning your data analytics degree online with Husson, you’ll receive personalized attention from industry-experienced educators who are dedicated to helping you succeed in all aspects of this program, including:

  • Advanced mathematics
  • Probability and statistics
  • Technical programming
  • Data mining
  • And more

Upon graduation, you’ll have the advanced professional skills it takes to analyze and visualize the data that companies use to make better decisions. Take the next step toward your professional future with an online data analytics degree from Husson University.

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Admission Requirements

The following is required for admission to undergraduate degree programs:

  • Completed application
  • Graduation from an approved high school or credentials indicating equivalent preparation
  • ALL previous college transcripts (even if no credit was earned or grades received)
  • ACT or SAT I scores (if applicable)

Applying to Husson University is fast and efficient. Our online application guides you through each step of the process. You can also save your partially completed application at any time and finish it later. Husson accepts up to 90 transfer credits.

Your career goals are within reach with Husson University. Apply today to get started.

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Prepare for the future with a software degree from Husson University Online.

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Course Map

General Education (40-43 Hours)

EH 123 Rhetoric and Composition I: 3
EH 124 Rhetoric and Composition II: 3
HE 111 Husson Experience: 1
Philosophical Elective: 3
Historical Elective: 3
Math Elective I (if not using MS 181 to fulfill, student must use open elective in program to take MS 181): 3-4
Psychology or Sociology Elective: 3
MS 132 Probability and Statistics: 3
Lab Science Elective: 3-4
Literature Elective: 3
Perspectives Elective I: 3
Perspectives Elective II: 3
Fine Arts Elective: 3
Humanities Elective: 3

DA Core (18 credits)

MS 212 Intermediate Applied Statistics: 3
DA 110 Data Exploration and Visualization: 3
DA 210 Introduction to Data Analytics: 3
IT 261 Programming I: 3
DA Core Electives (2): 3

Advanced DA (21 Credits)

DA 320 Data Mining: 3
IT 262 Programming II: 3
MS 241 Linear Algebra with Applications: 3
MS 333 Statistical Modeling: 3
DA 420 Data Analytics Seminar: 3
DA 489 Data Analytics Capstone: 3
DA 499 Data Analytics Internship: 3

Domain electives (6) (18 Credits)
Open electives (7) (21 Credits)*

*Depending upon transfer credits and courses taken, students may need to take an additional open elective.

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*Based on a full-time student transferring 60-90 credits.

**All rates are subject to change.