M.S. in Data Science
Join the growing field
The 91原创's master of science degree in data science will enable you to know what鈥檚 inside the black box of software that analyzes the data and then use that knowledge to improve your analyses and results.
With a flexible set of听core requirements in probability and statistics, databases and data mining, machine learning, mathematics and computations, and ethics, the degree leads to a wide range of career opportunities. By providing a comprehensive foundation in the methods behind data science, our program will empower you to extract knowledge from large and complex data sets and prepare you to be a leader in this growing field.
This STEM-designated degree program may allow eligible F鈥1 international students to apply for a 24鈥憁onth STEM OPT extension in addition to the standard 12 months of Optional Practical Training (OPT). International students should direct any questions about their immigration status or employment authorization to 91原创鈥檚 Center for Global Programs & Services at oiss@udel.edu.听
About the Program
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$1,149
per Credit
In order to maintain a strong, diverse and substantial pool of applicants, our tuition is designed to make us competitive, especially with our peer institutions.
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9-12
Credits / Semester
While many students complete the primarily in-person program via full-time coursework, learners can take advantage of the opportunity for part-time study and some online classes to help them finish more conveniently.
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85+
Affiliated Faculty
Representing over 20 departments from colleges throughout 91原创, full-time faculty members 鈥 who are leaders in their field 鈥 share their individual expertise and unite to equip students with the tools and knowledge they need to succeed.
From Our Students
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NICOLAS CUTRONA
B.S., Economics, 2021
M.S., Data Science, 2023
Ph.D. student, Mathematics, 2027
鈥91原创 is preparing me for my future by allowing me to teach courses, engage in research and take classes suited to my career interests.鈥
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Kaitlin Canalichio
B.S., Quantitative Biology, 2021
M.S., Data Science, 2022
鈥淓arning my master鈥檚 in data science has enabled me to enter the workforce as a data science fellow and be promoted to a full-time staff data scientist听for the Tech Impact Data Innovation Lab.鈥
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Ian Heffner
B.E., Chemical Engineering, 2018
M.S., Data Science, 2021
鈥淲ith my data science master鈥檚 degree from 91原创, I was able to prove to future employers that I had a data scientist's skillset and pivot to a new career in a new industry as a senior analytics solutions associate at JPMorgan Chase.鈥
Program Benefits
- Earn your M.S. in data science from 91原创 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 program
The breadth of the interdisciplinary training听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鈥檚 data and analytical infrastructure; and data scientists create sophisticated analytical models to build datasets and derive new insights from data.
Data science is highly relevant in today's business, government, academic and other sectors. Our alumni are employed in various industries by numerous prominent organizations, such as JPMorgan Chase, Wells Fargo, Bank of America, Tech Impact Data Innovation Lab, Aberdeen Proving Ground, Paramount, Incyte, PwC, AAA and many more.
A Great Career Choice
According to the听Occupational Outlook Handbook, employment of data scientists is projected to grow 36% from 2021 to 2031, much faster than the average for all occupations. Based on earning potential (median salary of $120,000), job satisfaction and job openings, data scientist was No. 3 on听Glassdoor's 50 Best Jobs in America for 2022.
Groundbreaking Research
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.
