Data Science Minor

40 courses, what each needs, and where they meet

Courses

CS 415 · Introduction to Computer Science I
CS 410C · Introduction to Scientific Programming/C
CS 410P · Introduction to Scientific Programming/Python
DS 662 · Programming for Business
CS 674 · Fundamentals of Statistical Learning I
CS 750 · Machine Learning
MATH 738 · Data Mining and Predictive Analytics
ADMN 510 · Business Analytics and Statistics
BIOL 528 · Applied Biostatistics I
BUS 430 · Introduction to Business Statistics
MATH 439 · Statistical Discovery for Everyone
MATH 539 · Introduction to Statistical Analysis
MATH 644 · Statistics for Engineers and Scientists
PSYC 402 · Statistics in Psychology
SOC 402 · Statistics
CS 675 · Fundamentals of Statistical Learning II
CS 730 · Introduction to Artificial Intelligence
CS 733 · Mobile Robotics
CS 751 · Reinforcement Learning
CS 753 · Information Retrieval and Generation Systems
CS 757 · Mathematical Optimization for Applications
CS 755 · Computer Vision
CS 759 · Natural Language Processing
CS 775 · Database Systems
CS 781 · Data Science for Knowledge Graphs and Text
IT 630 · Data Science and Scalable Data Systems
MATH 632 · Financial Mathematics
MATH 645 · Linear Algebra for Applications
MATH 736 · Advanced Statistical Modeling
MATH 737 · Statistical Methods for Quality Improvement and Design
MATH 740 · Design of Experiments I
MATH 741 · Survival Analysis
MATH 743 · Time Series Analysis
MATH 744 · Design of Experiments II
MATH 767 · One-Dimensional Real Analysis
MATH 768 · Real Analysis II
MATH 770 · Foundations of Number Theory
MATH 772 · Combinatorics
MATH 784 · Topology
MATH 739 · Applied Regression Analysis

Requirements

In the UNH Catalog