Data Science Honors Program
Xavier’s Data Science Honors program is an interdisciplinary effort of the Departments of Business Analytics and Information Systems, Computer Science, and Mathematics. This cohort-based honors program introduces the analytical and real-world need for data science. Students accepted into this program will be challenged to apply their knowledge in ways that serve the community and address issues in society through an integrative curriculum.
Students pursuing their Honors Bachelor of Science in Data Science can expect to be immersed in courses in computer science, mathematics, and statistics. The comprehensive academic plan will give strong STEM students the computational and analytical skills needed to build models and tools in data science. Admitted students to this program will engage in specific experiences and will apply acquired skills on projects that incorporate community-engaged learning with intentional reflection on ethics and privacy.
Courses
The Data Science Honors B.S. requires the following 68 credits:
- BAIS 329 Data Mining
- BAIS 362 Statistical Programming
- BAIS 365 Business Analytics
- BAIS 389 Business Intelligence (Oral Communication Flag)
- CSCI 170 Computer Science 1
- CSCI 180 Computer Science II
- CSCI 220 Data Structures and Algorithms
- CSCI 230 Socially Responsible Data Usage
- CSCI 335 Databases
- CSCI 350 Advanced Algorithms
- CSCI 355 High Performance Computing
- MATH 170 Calculus 1
- MATH 171 Calculus II
- MATH 222 Applied Linear Algebra OR MATH 240 Linear Algebra
- MATH 256 Introduction to Probability and Statistics
- MATH 257 Data Modeling
- MATH 311 Probability
- MATH 312 Statistical Inference
- MATH 350 Advanced Data Analysis
- DSCI 350 Computational Machine Learning
- DSCI 390 Senior Capstone I (writing flag)
- DSCI 391 Senior Capstone II
Contact the Director
David Gerberry, Ph.D.
Director, Data Science Honors Program
Associate Professor, Mathematics Department
Email: gerberryd@xavier.edu
Phone: 513-745-4254