Data Science, MS (Silicon Valley)

Khoury College of Computer Sciences offers an interdisciplinary Master of Science in Data Science. This program is designed to give students a comprehensive framework for reasoning about data. Students engage in extensive coursework intended to develop depth in data collection, storage, retrieval, manipulation, visualization, modeling, and interpretation. Program graduates are well positioned to attain data scientist and data engineer positions in a fast-growing field or to progress into doctoral degrees in related disciplines.

In this degree program, students will be admitted to the Khoury College of Computer Sciences, and their degree is awarded by that college. Students will follow all policies associated with Khoury College of Computer Sciences.

Beginning with students admitted in the fall of 2026, all students pursuing on-ground master's degree programs must complete a university-level experiential learning requirement. This requirement may be fulfilled through the curriculum, co-op, or other work- or industry-integrated learning experiences.

Complete all courses and requirements listed below unless otherwise indicated.

Students should refer to the course numbering table for graduate course leveling.

Data Science Core

A cumulative GPA of 3.000 or higher is required in core courses.

Course List

Code	Title	Hours
Programming with Data
DS 5110	Essentials of Data Science	4
Algorithms
CS 5800	Algorithms	4
or EECE 7205	Fundamentals of Computer Engineering
Machine Learning
CS 6140	Machine Learning	4
or EECE 5644	Introduction to Machine Learning and Pattern Recognition
Interdisciplinary Capstone
DS 5500	Data Science Capstone	4

Concentration

• Computer Science—Khoury College of Computer Sciences

Program Credit/GPA Requirements

32 total semester hours required

Minimum 3.000 GPA required

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Computer Science Concentration—Khoury College of Computer Sciences

Course List

Code	Title	Hours
Complete 16 semester hours from the following:		16
CS 5100	Foundations of Artificial Intelligence
CS 5180	Reinforcement Learning and Sequential Decision Making
CS 5200	Database Management Systems
CS 5330	Pattern Recognition and Computer Vision
CS 5340	Computer/Human Interaction
CS 5610	Web Development
CS 6120	Natural Language Processing
CS 6200	Information Retrieval
CS 6220	Data Mining Techniques
CS 6240	Large-Scale Parallel Data Processing
CS 6350	Empirical Research Methods
CS 6620	Fundamentals of Cloud Computing
CS 6650	Building Scalable Distributed Systems
CS 7140	Advanced Machine Learning
CS 7150	Deep Learning
CS 7180	Special Topics in Artificial Intelligence
CS 7200	Statistical Methods for Computer Science
CS 7250	Information Visualization: Theory and Applications
CS 7280	Special Topics in Database Management
CS 7290	Special Topics in Data Science
CS 7990	Thesis
CS 8674	Master’s Project
DS 7995	Project
Optional Co-op
CS 6964	Co-op Work Experience	0
or CS 6954	Co-op Work Experience - Half-Time
or CS 6955	Co-op Work Experience Abroad - Half-Time
or CS 6965	Co-op Work Experience Abroad