Data Science
Honors Bachelor of Science
This unique, interdisciplinary experience is meticulously designed to equip you with the analytical, computational and ethical skills needed to excel in the rapidly evolving field of data science. You'll be prepared to tackle real-world challenges with confidence and integrity.
Fall
- CSCI 170 Computer Science 1*............ 3cr.
- MATH 170 Calculus I [Mathematical Perspectives]............ 4cr.
- MATH 222 Applied Linear Algebra*............ 3cr.
- First Year Seminar............ 3cr.
- ENGL 101 Composition............ 3cr.
- CORE 101 GOA............ 0cr.
- DSCI 101 Cohort Experience: Data Scientists in the Field............ 0cr.
Spring
- CSCI 180 Computer Science II............ 3cr.
- MATH 171 Calculus II............ 4cr.
- MATH 256 Introduction to Probability and Statistics............ 3cr.
- THEO 111 Theological Foundations............ 3cr.
- PHIL 100 Ethics as Introduction to Philosophy............ 3cr.
- CORE 102 GOA............ 0cr.
- DSCI 102 Cohort Experience: Job shadow a Data Scientist............ 0cr.
Fall
- CSCI 220 Data Structures & Algorithms [QR]............ 3cr.
- MATH 311 Probability Theory............ 3cr.
- BAIS 362 Intro Analytics Programming............ 3cr.
- Language 1............ 3cr.
- THEO Perspectives............ 3cr.
- DSCI 201 Cohort Experience: Service Learning Trip and Community-Engaged Project............ 0cr.
Spring
- CSCI 335 Databases............ 3cr.
- MATH 312 Statistical Inference............ 3cr.
- BAIS 329 Data Mining............ 3cr.
- Language 2............ 3cr.
- PHIL Perspectives............ 3cr.
- DSCI 202 Cohort Experience: Community-Engaged Project............ 0cr.
Fall
- BAIS 365 Business Analytics............ 3cr.
- MATH 257 Data Modeling............ 3cr.
- CSCI 230 Socially Responsible Data Usage [E/RS Flag]............ 3cr.
- STEM Domain Area 1 [Scientific Perspectives]............ 4cr.
- ENGL 205 Literature and the Moral Imagination............ 3cr.
- DSCI 301 Cohort Experience: Data Ethics in Society ............ 0cr.
Spring
- BAIS 389 Business Intelligence [Oral flag]............ 3cr.
- MATH 350 Advanced Data Analysis............ 3cr.
- CSCI 350 Advanced Algorithms............ 3cr.
- STEM Domain Area 2 [Natural Science Elective]............ 4cr.
- Historical Perspectives............ 3cr.
- DSCI 302 Cohort Experience: Career Exploration............ 0cr.
Fall
- DSCI 390 Senior Capstone I [writing flag]............ 3cr.
- CSCI 355 High Performance Computing............ 3cr.
- Solidarity and Kinship Flag............ 3cr.
- STEM Domain area 3............ 4cr.
- Social Science Elective............ 3cr.
- DSCI 401 Cohort Experience: Mentoring 1st year Data Science Students............ 0cr.
Spring
- DSCI 391 Senior Capstone II............ 3cr.
- DSCI 350 Computational Machine Learning............ 3cr.
- Creative Perspectives............ 3cr.
- Humanities Elective............ 3cr.
- DSCI 402 Cohort Experience: Program Evaluation............ 0cr.
Exciting Career Opportunities
Business Intelligence Analyst, Data Analyst, Data Scientist, Data Engineer, Computer Systems Analyst, Computer and Information Systems Manager, Market Research Analyst, Operations Research Analyst, Quantitative Analyst
Data Visulaization: BAIS 389
Students learn how data scientists use computers to collect and analyze complex information about an organization and its competitors for use in decision-making.
Socially Responsible Data Usage: CSCI 230
What are our legal and ethical responsibilities regarding the use and interaction with data? What is privacy and how has big data and the Internet impacted it? This course introduces students to the federal laws and authorities governing data privacy and information assurance. Topics include industry standards, compliance audits and application of ethical foundations to case studies.
High Performance Computing : CSCI 355
This course is an exploration of concepts and tools to process large data sets efficiently. Topics include basic concepts of parallel and distributed computing, analysis for parallel algorithms, Amdahl's law and the design and implementation of parallel and distributed algorithms. Topics also cover data storage and distribution for use in distributed systems and the use of specific tools prevalent in high-performance computing for data science.
Applied Linear Algebra: MATH 222
This course is an introduction to elementary linear algebra with an emphasis on application and interpretation. Topics include systems of linear equations and their solutions, matrix algebra, linear transformations, determinants, inverses, eigenvalues and eigenvectors and orthogonality. Course topics also include selected applications to physical and social sciences.
Computational Machine Learning: DSCI 350
This course is an exploration of machine learning from statistical and computational perspectives. Topics explore supervised and unsupervised learning techniques, emphasizing machine learning as a set of principled optimization algorithms. Course topics also include ensemble methods (e.g., boosting, bagging and model averaging), algorithmic analysis of models including issues of scalability and implementation, problems related to model expressivity, methods of evaluation and cross validation.
Business Analytics & Information Systems Club
The Business Analytics and Information Systems Club bridges the gap between classroom education and workplace experience, engaging the community in understanding and embracing systems and analytics, consistent with Jesuit ethics and values.
Computer Science Club
From game nights to hackathons and coding classes, these technology enthusiasts love all things digital. Members meet to discuss the latest in computer science and connect with each other.
Minorities in STEM Succeeding Together
Become part of a supportive community dedicated to empowering minority STEM majors. Discover a space where you can thrive, connect with peers and build confidence in your identity while pursuing excellence in STEM.
Program Features
Gain a comprehensive understanding of data science, combining skills in analytics, computer science, mathematics and statistics to interpret sizable and convoluted data into results that drive intelligent decisions.
Gain hands-on experience through real-world projects and case studies, applying your analytics knowledge to solve complex business problems.
You'll learn alongside a dedicated cohort of peers, collaborating closely to apply rigorous technical skills to impactful, community-focused projects.
Our curriculum emphasizes ethical data use, ensuring you learn to handle and interpret data responsibly and with privacy in mind.
Hear what Fairfax, Virginia native Daniel Welch loves most about the Data Science program, being a Xavier student and life in Cincinnati.
Located in a city rich with major corporations, Xavier offers unparalleled access to internships and career opportunities in data science.
Data Science Honors Program Program at Xavier University
The cohort-based Data Science Honors Bachelor of Science 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.
Xavier University’s College of Arts and Sciences challenges students to develop an integrated understanding of humanity, the world, and God by pursuing the questions raised in Xavier's core and departmental curricula. The College of Arts and Sciences is the oldest and largest college at Xavier University. The college provides an excellent liberal arts education in the Jesuit tradition that prepares students for careers, professional or graduate school, and life in a global society.
Xavier University is a private university located in Cincinnati, Ohio, providing a liberal arts education in the Jesuit Catholic tradition. Founded in 1831, the University is the sixth-oldest Catholic university in the nation. It has been ranked among the top 10 master's-level universities in the Midwest by U.S. News & World Report for the past two decades. The Princeton Review names it one of the "Best 385 Colleges in America."