Major · Catalog 2026-2027

Data Science Major (B.S.)

28 courses, what each needs, and where they meet

Courses

MATH 425 · Calculus I
MATH 426 · Calculus II
MATH 528 · Multidimensional Calculus
MATH 531 · Mathematical Proof
MATH 539 · Introduction to Statistical Analysis
MATH 540 · Probability & Statistics
MATH 644 · Statistics for Engineers and Scientists
MATH 645 · Linear Algebra for Applications
MATH 545 · Introduction to Linear Algebra
MATH 755 · Probability with Applications
MATH 756 · Principles of Statistical Inference
CS 400 · Introduction to Computing
CS 415 · Introduction to Computer Science I
CS 410P · Introduction to Scientific Programming/Python
CS 416 · Introduction to Computer Science II
CS 420 · Foundations of Programming for Digital Systems
CS 457 · Introduction to Data Science and Analytics
CS 515 · Data Structures and Introduction to Algorithms
CS 659 · Introduction to the Theory of Computation
CS 674 · Fundamentals of Statistical Learning I
CS 675 · Fundamentals of Statistical Learning II
CS 750 · Machine Learning
CS 758 · Algorithms
IT 630 · Data Science and Scalable Data Systems
CS 775 · Database Systems
CS 791 · Senior Project I
CS 792 · Senior Project II
CS 799 · Thesis

Requirements

In the UNH Catalog