A Data Science Central Community
The Master of Science in Data Science (MSDS) is an 11‐month professional masters program, designed to meet the increasingly data‐intensive needs of industry and government. The program starts near the beginning of July and ends the next year in mid-May. Core program courses will be taught by faculty from the Departments of Computer Science, Statistics, and Systems and Information Engineering.
Three key features of this program are (a) an integrated curriculum and data experience; (b) the compressed duration; and (c) a cohort experience. To achieve these, the curriculum is tightly prescribed with about 80% common to all students. The curriculum is integrated across courses, with several large complicated data sets woven across courses to increase program cohesion. The compressed duration is designed to minimize the time from start to finish, and the cohort experience will allow students to consistently work together in teams. At the conclusion of the program the students will address an important data science challenge through a capstone experience. Students will commence this work with a proposal describing their objectives. In conducting this final exercise students will be guided, mentored, and eventually evaluated by faculty members from the different disciplines.
Applicants need to have a completed undergraduate degree in hand by the start of the program, but the specific undergraduate major is not important. However, there is prerequisite knowledge needed for the MSDS program:
There are many other ways to acquire the prerequisite knowledge. For instance, you may be able to take needed courses during the UVA summer session, or at some other school, or even via a MOOC. We are happy to work with students, so if you have any questions about your background just ask the MSDS program director for an assessment.
Course requirements for the MSDS program:
Summer Term (6 weeks, starting approximately July 1)
CS 5014: Computation for Data Science
STAT 6010: Statistical Computing and Data Visualization
STAT 6021: Linear Models for Data Science
CS 5161: Design and Analysis of Algorithms for Data Science
DS 6001: Topics in the Practice of Data Science
DS 6002: Ethics of Big Data
SYS 6018: Applied Data Mining
SYS 6016: Machine Learning
DS 6003: Capstone Project
Selection of elective courses is done in consultation with the program director. There are a variety of possible electives available, including the following:
CS 6444: Introduction to Parallel and Cloud Computing
SYS 6035: Agent‐Based Modeling & Simulation
STAT 5260: Categorical Data Analysis
STAT 5140: Survival Analysis & Reliability Theory
SYS 6043: Applied Optimization
SYS 6044: Applied Probability
CS 6750: Database Systems
STAT 5170: Applied Time Series
STAT 5340: Bootstrap and Other Resampling Methods
MATH 5110: Stochastic Processes
Other electives are possible, depending on available courses.
The MSDS program is hosted by the Department of Statistics, and is a concentration within the MS in Statistics program. A complete application consists of the following:
Note: Contact program director Jeff Holt by March 31 for information on how to submit application materials. (International students should apply as soon as possible to allow time to process visa applications.)
Note on GRE and TOEFL scores: It is fine if the official scores arrive after you apply. If you have unofficial scores, report them in the "score self-report" part in the application system.
Note to UVA students: In some cases, the GRE requirement can be waived. Contact the program director for details.
Questions about the program or application process can be directed to the program director at [email protected].
For more details, visit http://dsi.virginia.edu/academics