Academics at Hanover:
Are you interested in working with quantitative and qualitative data to solve real-world problems? Do you enjoy collaborating with others and communicating your findings clearly?
Data Science involves study a range of topics related to working with quantitative and qualitative data to solve real-world problems. This interdisciplinary major includes coursework in mathematics, computer science, as well as specialized courses that focus on analyzing and interpreting data.
Hanover’s data science program combines relevant coursework from Mathematics and Computer Science with a distinct introductory course (DS110) and a senior thesis requirement (DS471) to provide a successful Data Science experience at the undergraduate level. You’ll learn how to write computer code to analyze large data sets, ask interesting questions, evaluate claims, draw inferences, and effectively communicate data-driven answers to real-world problems.
Data Science Requirements
Interested students are advised to begin their program of study in their first year by taking Calculus I (MAT121) and Introduction to Data Science (DS110). Students are advised to consult with a member of the Data Science faculty to plan a four-year course of study as early as possible, as several of the required courses are only offered every second year.
Our faculty members are all experts in Data Science and are here to guide you throughout your four-year program of study. They’ll help you plan your courses, offer advice on career paths and assist you with your senior thesis.
WHAT DO DATA SCIENCE MAJORS STUDY?
- Data Analysis
- Data Mining
- Machine Learning
- Statistical Inference
- And other topics that interest you
COURSES
Data Science
DSCI 110: Introduction to Data Science
DSCI 471: Senior Thesis
Computer Science
CS 220: Fundamentals of Computer Science
CS 223: Data Structures
CS 229: Data Wrangling and Management
CS 263: Ethics of Computer Technology
CS 362: Foundations of Machine Learning
Mathematics
MAT 121: Calculus I
MAT 122: Calculus II
MAT 217: Applied Statistics
MAT 224: Linear Algebra
MAT 327: Probability & Statistics
MAT 337: Statistical Modeling
