نظرة عامة على البرنامج

Introduction to the M.S. in Data Science Program

The University of Delaware's master of science degree in data science is designed to provide students with a comprehensive foundation in the methods behind data science. This program enables students to extract knowledge from large and complex data sets and prepares them to be leaders in this growing field.

Program Overview

The M.S. in data science program offers a flexible set of core requirements in probability and statistics, databases and data mining, machine learning, mathematics and computations, and ethics. This leads to a wide range of career opportunities. By providing a comprehensive foundation in the methods behind data science, the program empowers students to improve their analyses and results.

Program Benefits

• Earn your M.S. in data science from UD in 3-4 semesters
• Take classes full time or part time
• Customize your degree for your own interests or field
• Benefit from one-on-one faculty mentorship in this nationally ranked program

Career Opportunities

The breadth of the interdisciplinary training prepares students for an extensive variety of positions in data science, such as data analyst, data engineer, or data scientist. Data analysts use mathematical, statistical, and modeling techniques to solve problems; data engineers design, build, and maintain an organization's data and analytical infrastructure; and data scientists create sophisticated analytical models to build datasets and derive new insights from data.

Research and Faculty

With over 85 affiliated faculty representing more than 20 departments, students in the M.S. program in data science have the opportunity to discover alongside leaders of industry and find their voice in the research community.

Tuition and Financial Aid

Tuition for the academic year is $1,116 per credit hour. To be considered for federal student loans, students should file the Free Application for Federal Student Aid (FAFSA). Aid is generally awarded for the academic year, but disbursement (payment) is split between the fall and spring semesters.

Degree Requirements and Curriculum

To earn the M.S. degree in data science, students complete 30 credits of coursework. They select at least two courses in the area of probabilistic and statistical foundations, at least one course apiece in the areas of databases and data mining foundations, machine learning foundations, and mathematical and computational foundations, and an ethics course. Additionally, up to 12 credits of elective courses may come from a variety of UD classes with relevant application or quantitative content.

Admissions Requirements

The master of science in data science program only admits students for the fall semester. Applicants are encouraged to apply earlier than the February 1 deadline because space is limited in the program, and it may fill before all applications are read. Review of applications begins in November. Applicants are required to provide transcripts, a personal statement, and three letters of recommendation. International applicants are asked for some additional materials.

Student Testimonials

Previous students have praised the program for its ability to prepare them for careers in data science. For example, Ian Heffner, who earned his M.S. in data science in 2021, was able to pivot to a new career in a new industry as a senior analytics solutions associate at JPMorgan Chase. Nicolas Cutrona, who earned his M.S. in data science in 2023, noted that the program allowed him to teach courses, engage in research, and take classes suited to his career interests. Kaitlin Canalichio, who earned her M.S. in data science in 2022, was able to enter the workforce as a data science fellow and was promoted to a full-time staff data scientist for the Tech Impact Data Innovation Lab.