Launch Your Future in AI and Data Science
Artificial Intelligence and Data Science are transforming every industry — from healthcare to finance, and technology to research. Spring Hill College’s AI and Data Science program integrates math, computer science, and applied data science to prepare you for the careers of tomorrow.
📊 Fact: Data Science jobs are among the fastest-growing careers with salaries averaging $100,000+ nationwide (U.S. Bureau of Labor Statistics).
What You’ll Learn
✔ Programming & Algorithms – Build efficient software and solve complex problems.
✔ Statistics & Probability – Master data-driven decision-making.
✔ Machine Learning & AI – Train models, neural networks, and intelligent systems.
✔ Problem Solving – Approach problems with critical thinking and creative solutions.
✔ Data Visualization – Communicate insights with tools like Tableau, Power BI, R, and Python.
✔ Capstone Research – Apply everything you’ve learned to real-world projects.
“Our goal is to equip students with both technical expertise and the ability to think critically, ethically, and creatively with data.”
– Priyojit Palit, PhD, Program Director
Curriculum Snapshot
The AI and Data Science curriculum is designed to take you from coding basics to advanced artificial intelligence, with each step building toward the skills employers and graduate schools want most. In your first two years, you’ll build a strong foundation in programming, math, and statistics, developing the problem-solving toolkit needed for advanced data science. As a junior and senior, you’ll put that foundation into practice, moving into specialized areas of data science, artificial intelligence, and applied research through your final capstone project.
Sample Classes
Discrete Mathematics
Explore advanced topics in logic, set theory, combinatorics, graph theory, and mathematical proof techniques critical to computer science and algorithm design.
Data
Analysis
Focus on advanced statistical methods, data wrangling, and visualization techniques to analyze complex datasets and derive actionable insights.
AI, Machine Learning and Deep Learning
Study artificial intelligence, with an emphasis on machine learning algorithms and deep learning architectures for solving real-world, data-driven problems.
- CSC 100 – Computer Science 0: Foundations (or equivalent) (4 cr.)
- CSC 101 – Computer Science 1: Principles (4 cr.)
- MTH 121 – Calculus I (4 cr.)
- MTH 122 – Calculus II (4 cr.)
- MTH 163 – Basic Statistics for the Sciences or
BUS 263 – Business Statistics or
PSY 263 – Statistics for the Social Sciences (3 cr.) - CSC 202 – Computer Science 2: Data Structures (4 cr.)
- CSC 203 – Computer Science 3: Algorithms (4 cr.)
- MTH 221 – Linear Algebra (3 cr.)
- DSC 240 – Data Science 0: Data Visualization (3 cr.)
- MTH 322 – Discrete Mathematics (3 cr.)
- CSC 313 – Database Systems and Theory (3 cr.)
- MTH 365 – Probability and Statistics (3 cr.)
- CSC 341 – Data Science 1 (3 cr.)
- DSC 442 – Data Analysis (3 cr.)
- DSC 443 – AI, Machine Learning, and Deep Learning (3 cr.)
- DSC 499 – Data Science Capstone Seminar (1 cr.)
Why Choose AI and Data Science at Spring Hill?
✔ Hands-On Learning – Build a strong foundation in programming, statistics, machine learning, and data visualization.
✔ Real-World Projects – Work with real datasets, solving problems that matter in business, healthcare, and technology.
✔ Transferrable Skills – Develop strong communication, critical thinking, and creative problem-solving that benefit you in a variety of career tracks, including tech, finance, healthcare, government, and beyond.
✔ Graduate Pathways – Gain the knowledge and research experience to continue into graduate or professional studies.
✔ Small Classes, Big Impact – Learn directly from expert faculty and get personal mentorship.
Career & Graduate Opportunities
Graduates of AI and Data Science are prepared for roles such as:
Data Scientist / Data Analyst
Machine Learning Engineer
AI Researchers
Business Intelligence Specialist
Software Developer
Healthcare Data Analyst
Graduate study in AI, Data Science, Computer Science, Statistics, or Engineering
Ready to get started? Applications are now open.
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