Georgetown is excited to announce its Data Science for Public Policy MS program! The MS-DSPP, offered jointly by the the McCourt School of Public Policy and the Analytics Program, combines the historic strengths of McCourt’s public policy analysis curriculum with cutting-edge computational, mathematical, and statistical data science training.
Since the Fall of 2015, the Graduate School of Arts and Sciences has offered the Master of Science in Analytics with a concentration in Data Science degree. Instruction is provided by the Department of Computer Science and the Department of Mathematics and Statistics and the Analytics Program. The curriculum provides students with a rigorous training in computational, mathematical, and statistical methods to prepare them for careers in data science and analytics.
Our goal is to educate students so they are both conversant with state of the art tools, and able to develop and adapt future advances to broad application needs. Our curriculum and instructors stress fundamentals, implementation, and applications.
I chose Georgetown because I thought it would cover deeper aspects of data science, and my experience has reflected that. I'm encouraged to think about the "whys" behind what we are doing with statistics, algorithms, and computation to extrapolate to different data science situations.
- Aeint Thet Ngon, MS Analytics 2018
Application Deadlines - Fall 2019
Priority: December 15
Applications submitted by this date will receive priority consideration for admission and scholarship aid. All supporting materials must be received by December 15 for priority consideration.
FINAL: February 1
Applications received by this date will be reviewed but with reduced priority. All supporting materials must be received by February 1 to receive consideration.
This seminar defines what Big Data is, and what challenges industry and research community face in dealing with Big Data...
Discussion of the basics of signal processing for speech recognition, acoustic and language models, and how they are jointly maximized to produce text.
DIY technological devices, making, and hacking are becoming more and more accessible for anybody. Especially for creating your own data and doing your own analytics this trend offers exiting opportunities...
Big Data is no longer a buzz word. Public cloud is no longer the new kid in the block. The promise of elastic, reliable, inexpensive, managed services from public cloud providers has excited enterprises to store more data than ever before......