Master of Data Science
The Master of Data Science (MDS) prepares students for careers as Data Scientists in high-technology industries, business, and government. The MDS is an interdisciplinary degree program that provides foundational knowledge in statistics, machine learning, and computer science. Students learn core knowledge in probability and statistics, programming, data management, data analysis and visualization, and interpretation of empirical results. During the final quarter, students participate in two capstone courses. A critical component of the generation and analysis of empirical data is the ability to document the methodology and design employed, provide interpretable results, and communicate the salient findings of the analysis to a broad audience.
The first capstone course consists of the development an empirically-driven solution to a real-world problem. The project will cover the full spectrum of the analytic process, ranging from data gathering, manipulation, visualization, analysis, and interpretation of results. The second capstone course focuses on scientific writing and communication for presenting analytic results of the capstone project to a broader audience. At the completion of this program, students will be able to obtain, manage, and analyze data from multiple sources and disciplines to yield empirically-driven solutions. Graduates will be well prepared to contribute to multi-disciplinary teams that rely on multiple types of data for guiding business and research decisions. They will be knowledgeable about the techniques for obtaining, cleaning and managing data, statistical and machine learning methodologies for analyzing data and building associative and predictive models, and communicating the impact of results to collaborators and teams.
Applicants are evaluated on the basis of their prior academic record and letters of reference from people either in the student’s academic history or work settings. Students applying to the program may have degrees in any field, though preference will generally be given to those with degree in STEM fields including data science, computer science, statistics or biostatistics, computer or electrical engineering. All applicants are evaluated on the materials submitted: letters of recommendation, official college transcripts, and personal statement.
We strongly encourage all applicants to additionally submit either official GRE test scores or a relevant work portfolio (staff support is budgeted into our program to help us process these). For more information, contact the ICS graduate counselor at 949-824-5156 or email@example.com.
All MDS students are expected to maintain a minimum GPA of 3.0 throughout the program with no individual grade lower than a B-.
|COMPSCI 220P||Databases and Data Management|
|COMPSCI 260P||Fundamentals of Algorithms with Applications|
|COMPSCI 273P||Machine Learning and Data Mining|
|STATS 200AP||Intermediate Probability and Statistical Theory I|
|STATS 200BP||Intermediate Probability and Statistical Theory II|
|STATS 210P||Statistical Methods I|
|STATS 211P||Statistical Methods II|
|DATA 296P||Capstone Writing and Communication|
|DATA 297P||Capstone Design and Analysis|
|B. Select at least two COMPSCI courses and at least one STATS course from the list below: 1|
|Principles of Data Management|
|Transaction Processing and Distributed Data Management|
|Big Data Management|
|Data Structures with Applications|
|Introduction to Artificial Intelligence|
|Neural Networks and Deep Learning|
|Graphical Models and Statistical Learning|
|Bayesian Data Analysis|
|Multivariate Statistical Methods|
|Time Series Analysis|
|Theory and Practice of Sample Survey|
For additional courses eligible to fulfill the elective requirement, visit the ICS website.
The final examination includes two components:
- Performance on a capstone project that incorporates skills and knowledge from the entire program.
- Presentation and communication of the capstone project.
Students making normal progress are expected to complete the degree program in approximately 15 months (5 quarters).
A student who has taken relevant graduate courses at UCI or another university may petition to have a specific course certified as equivalent to one that satisfies this program. The petition should describe the course and should be approved by the MDS program director. Only two courses can be substituted.