Nov 21, 2024  
Xavier University Undergraduate and Graduate Catalog 2024-2025 
  
Xavier University Undergraduate and Graduate Catalog 2024-2025

Data Science, Honors Bachelor of Science


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Xavier’s Data Science Honors program is an interdisciplinary effort of the Departments of Business Analytics and Information Systems, Computer Science, and Mathematics. Data scientists are trained to combine their skills in analytics, computer science, mathematics, and statistics to transform sizable and convoluted data into understandable results that can be used to make intelligent decisions. In addition, data scientists are expected to use, distribute, and interpret data in an ethical fashion. This program provides an integrative curriculum with interdisciplinary data science courses, technical skills, and a series of experiences that will challenge students to apply their knowledge in ways that serve the community and address issues in society. 


This cohort-based honors program introduces the analytical and real-world needs of data science. It includes a heavy course load in computer science, mathematics, and statistics designed to introduce strong STEM students to the computational and analytical skills needed to build models and tools in data science; incorporates specific experiences using skills from those areas in applied projects that incorporate community-engaged learning; and includes intentional reflection on ethics and privacy in the use of these skills. 

 

Requirements for the Data Science Major


Core Curriculum


See Undergraduate Core Curriculum  

Required STEM Courses


  • Taken within the Core Curriculum science requirements.

Graduation Requirement


The Honors B.S. degree requires students to achieve an average GPA of 3.0 or better in the courses taken for the major. (Students completing all other graduation requirements will be awarded the B.S. in Data Science degree. The B.S. in Data Science degree is not available any other way.)

TOTAL Minimum Hours Required for Degree: 120 Semester Hours


H.B.S. Data Science


This block serves as a guideline for progress toward a degree. See your academic advisor.

Freshman Year


First Semester


  • DSCI 101
  • CSCI 170
  • MATH 180
  • First Year Seminar
  • ENGL 101
  • Language I
  • GOA 1

Second Semester


  • CSCI 180
  • MATH 181
  • MATH 256
  • THEI 111
  • Language 2
  • GOA 2

Sophomore Year


First Semester


  • DSCI 210
  • CSCI 220
  • MATH 257
  • MATH 182
  • BAIS 362

Second Semester


  • CSCI 335
  • MATH 311
  • BAIS 329
  • PHIL 100
  • ENGL 205

Junior Year


First Semester


  • BAIS 365
  • MATH 312
  • CSCI 230
  • MATH 222 or MATH 240
  • Scientific Perspectives

Second Semester


  • BAIS 389
  • MATH 350
  • CSCI 350
  • PHIL Perspectives
  • THEO Perspectives

Senior Year


First Semester


  • DSCI 390
  • Historical Perspectives
  • Diversity Flag
  • Natural Sciences Elective
  • Humanities Elective

Second Semester


  • DSCI 402
  • DSCI 391
  • DSCI 350
  • Creative perspectives
  • Free Elective
  • Free Elective
  • Free Elective

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