Operational  Data Science

Operational Data Science and Statistical Machine Learning (269)

Description

The Academic Certificate in Operational Data Science and Statistical Machine Learning provides education in the computational thinking and practical skills necessary to plan, execute, and manage the day-to-day operations for applied data science, with a particular emphasis on rapidly evolving Machine Learning techniques. 

Data Science and Machine Learning have emerged as critical to the mission of the Navy and the Department of Defense because of the central role they play in intelligence, surveillance, and reconnaissance, talent management, cyber-security, and logistics functional areas. However, practitioners in the military and civilian workforce need not only the ability "think computationally" but also to "do computationally". This includes the ability to work directly in the languages of data science (e.g., R, Python) and not just third-party tools.  The emphasis throughout the program is on making military analysts more effective at addressing real-world problems through the use of data science and advanced computation.

Upon successful completion of the course work, students will be awarded an Academic Certificate in keeping with standard practices of the Naval Postgraduate School.

Experience with higher level programming language and background in statistics as evidenced by transcripts or work history is required for enrollment.

Required Courses

  • OA3801: Computational Methods for Operations Research II (3-1)
  • OA3802: Computational Methods for Data Analytics (4-0)
  • OA4106: Advanced Data Analysis (3-1)
  • OA4118: Statistical and Machine Learning (4-0)
  • OA4820: Case Studies in Applied Defense Analytics (4-0) [formerly known as OA4910]

Delivery mode

This Certificate is currently available to resident students only.  For those interested in Distance Learning (DL) options, see Curriculum 268: Certificate in Data Science.

For more information

Program Officer: CDR Scott Cohick

Academic Associate: Prof. David Alderson

To enroll in this Curriculum, complete the Academic Certificate Enrollment Request Form on the Registrar website so it can be routed it for review and approval.