Master of Science in Engineering Data Analytics and Statistics

Invest in yourself by pursuing a master's in engineering data analytics and statistics. Graduate with the knowledge, skills and personal network you'll need to join the next generation of elite data analysts. The Master of Science in Engineering Data Analytics and Statistics (MSDAS) is an academic master's degree designed for students interested in gaining advanced expertise in the use and application of cutting-edge software and analytical tools to collect, analyze, model and optimize data. This interdisciplinary field is at the intersection of systems science, mathematics, and computer science and engineering, all of which are required in the rapidly changing world of analytics and data science. Employer demand for analytics-enabled graduates continues to grow. Students upon graduation have gone to work in industry as researchers, analysts and software engineers at companies such as; Amazon, Bayer, Bosch, Citigroup, Deloitte Consulting LLP, The Federal Reserve, and GE.

It is recommended that incoming students earn a baccalaureate degree in engineering or another STEM-related degree. In earning that degree, it is recommended that students take the following upper-level courses:Calculus Sequence and Differential EquationsProbability and StatisticsMatrix AlgebraIntroductory Computer ScienceMore advanced topics in Computer Science such as Data Structures are also helpful, but may be added after admission to the program.Knowledge of a scientific or quantitative social science field is encouraged but not necessary for success in the program.Upload electronic or scanned student-issued copies of transcripts from all undergraduate and graduate institutions attended.Transcripts must clearly show your full legal name, the name of the institution, a year-by-year listing of all courses taken, and the grades/marks receivedThree (3) letters of recommendation are required for application.Statement of Purpose- Formatting requirements: 1-2 pages in length.Resume/CV