Georgetown University School of Continuing Studies: Master of Science in Analytics with a Concentration in Data Science

A Masters Degree In A Data Driven World

Make Sense of Complex Data

Georgetown University’s Master of Science in Analytics with a concentration in Data Science prepares students to manage the evolving challenges, trends, and complexities of today’s businesses while providing them with the skills and expertise they need to implement advanced data analysis and machine learning techniques.

Students of the program will:

  • Learn how to make sense of complex data and extract useful insights.
  • Engage with a community of innovators who are transforming the field of data science.
  • Master the data analytics fundamentals and interdisciplinary skills needed for a successful career.
  • Benefit from partnerships and internships with organizations like Lawrence Livermore National Laboratory.
  • Please share this information with your students and encourage them to explore our program.

Application Deadline
April 1 for US

For more information:

http://gradanalytics.georgetown.edu/?utm_source=N9515.272693MDRADUNBRADSTREETCOM&utm_medium=Email&utm_campaign=FY16_PG_DAMS_Stu_MDR_Email_EB_3.8_LearnMore_DAMMDREB094D&utm_content=0

Funded Grant: NSF CREST Planning Grant

Dr. Kinnis Gosha and Dr. Brandies Marshall have been awarded a collaborative grant of $299,257 from the National Science Foundation (Award #1547793). The overall purpose of this grant is to plan and design a dual institution CREST research center in Socially Relevant Computing at Morehouse and Spelman Colleges. The center will provide interdisciplinary education, undergraduate research, and workforce development for African American computer science students. In addition, the center will create an ecosystem of partners to conduct research that leads to technologies that help solve critical societal problems of national priority.

2016 AMALTHEA REU Summer Research Program in Machine Learning

2016 AMALTHEA REU Summer Research Program: Apply by March 31

AN OPPORTUNITY FOR A 10-WEEK RESEARCH EXPERIENCE FOR UNDERGRADUATE STUDENTS is available in the area of Machine Learning. The program is sponsored by the National Science Foundation and is offered by the Information Characterization & Exploitation (ICE) Laboratory at Florida Institute of Technology (FIT) in Melbourne, Florida.

Apply online: http://www.amalthea-reu.org

ELIGIBILITY

=> Majoring in an Engineering or Science discipline

=> US citizens or permanent residents

=> Undergraduates in good academic standing

 

BENEFITS Continue reading “2016 AMALTHEA REU Summer Research Program in Machine Learning”

Donte Verrill Accepted into the University of Washingtion – Seattle CSNE Summer REU Program

We would like to congratulate junior Psychology major Donte Verrill on his acceptance into the University of Washingtion – Seattle CSNE Summer REU Program. The CSNE at the University of Washington sponsors a 10-week Research Experience for Undergraduates on the Seattle campus during the summer. Here he will have the opportunity to work with Dr. Andrea Stocco in the study of how humans utilize abstract mental representations (i.e. rules, instructions, and blueprints) to perform complex tasks. While there at the CSNE research lab Donte will be using mathematical models, neuroimaging techniques, and brain stimulation methods to determine and predict how mental representations are encoded into the brain. Additionally, to see how these representations are transformed into behavior, and how this information can be used to improve learning and skill acquisition.

Jovan Corbitt Accepted into the R.E.U. Interfaces and Surfaces at Clemson University

Congratulations to CRCL junior CS major Jovan Corbitt for his acceptance into the R.E.U. Interfaces and Surfaces at Clemson University. This program only accepts around 10 students each summer where the students engage in an intensive ten week research program. While at Clemson University, Jovan will be working with Dr. Kostya Kornev on the research of “Analyses of viscous properties of insect biofluids using optofluidics.”