Master of Systems Analysis - (DL) - Curriculum 363

Program Officer

Matt Geiser, CDR, USN

Code GB, Ingersoll Hall, Room 219A

(831) 656-3953, DSN 756-3953

mtgeiser1@nps.edu 

Academic Associate and Program Director

Steven E. Pilnick, Ph.D.

Glasgow Hall, Room 291

(831) 656-2283, DSN 756-2283

FAX (831) 656-2595

spilnick@nps.edu

Brief Overview

The Master of Systems Analysis (MSA) program is a distance learning, graduate degree program, designed to meet the needs of the Navy and other services in the Department of Defense (DoD) for technical graduate education in systems analysis as a basis for aiding key decisions on force requirements, weapon systems, and other defense matters. Students acquire foundation skills and hands-on experience in all aspects of analytical studies, which includes the skills to formulate problems, use the analytical process to design study requirements, highlight critical assumptions, recognize strengths and weaknesses of applied analytical methodologies, and evaluate study recommendations.

This program is especially tailored to students whose career pattern will not allow them to get away for a full-time, graduate education program. The entire degree program can be completed at the student's current duty station. This program consists of a blend of approximately 50% web-based, asynchronous online instruction, and 50% synchronous distance learning with scheduled class video meetings. The web-based instruction is paced week-to-week by the instructors, but the students have great flexibility to do their course work at times of their choosing during each week. The synchronous classes meet at a scheduled time, once per week, during the workday, with the agreement of the student's current command.

Requirements for Entry

A baccalaureate degree is required. Completion of mathematics through single variable differential and integral calculus is considered minimal preparation. An academic profile code (APC) of 335 is required. Waivers will be considered for an APC of 345.

Convenes

Fall, Spring

Degree

Master of Systems Analysis

The Master of Systems Analysis degree requires:

  • Completion of a minimum of 32 quarter-hours of graduate-level courses with:
    • At least 16 quarter-hours of 4000-level courses.
    • Systems analysis core courses and a Systems Analysis context sequence approved by the Chairman, Department of Operations Research.
  • Students are required to demonstrate mastery of Systems Analysis practice through satisfactory completion of the thesis-equivalent three-course sequence in Systems Analysis Cases culminating in a final project approved by the Chairman, Department of Operations Research. The quarter-hours earned in the Systems Analysis Cases courses are applied towards satisfying the minimum graduate-level quarter-hours for the degree.

Program Description

The MSA program is a 24-month, part-time program. Students take two courses per quarter, for eight quarters. The curriculum consists of four blocks. Two of the blocks comprise stand-alone, web-based sequences. One is a four-course sequence leading to a Certificate in Systems Analysis, the second online sequence is a track approved by the student's service sponsor in a particular defense systems area in which systems analysis may be applied. The other two blocks round out the master's program with additional systems analysis core courses and a sequence of systems analysis case studies and projects that are an approved equivalent of a master's thesis. All students who successfully complete the distance-learning course of study will receive:

  • A Certificate in Systems Analysis awarded after completion of the first four quarters.
  • A Master of Systems Analysis degree awarded upon completion of the two-year program.
  • The approved systems analysis context track for Navy Unrestricted Line Officer students is a four-course sequence in Defense Resources Management (DRM). The student's service sponsor may approve another track based on course availability and needs of the sponsor and student.

Subspecialty

Completion of this curriculum is designed to qualify an officer as an Operations Research Analysis Subspecialist with a subspecialty code of 3211P. The curriculum sponsor is Director, Assessment Division (N81), Office of the Chief of Naval Operations.

Typical Subspecialty Jobs

OPNAV staff

JCS staff

Fleet staff

Type Commander staff

Battle Group staff

OSD staff

Typical Course of Study (Navy URL Track)

Quarter 1, Spring/Fall

Course NumberTitleCreditsLecture HoursLab Hours
OS2080Probability and Statistics I

3

0

MO1180Topics in Mathematics for Systems Analysis

3

2

 

Quarter 2, Summer/Winter

Course NumberTitleCreditsLecture HoursLab Hours
OS3380Combat Systems Simulation

3

1

OS3080Data Analysis and Probability Models

3

0

 

Quarter 3, Fall/Spring

Course NumberTitleCreditsLecture HoursLab Hours
OS3680Naval Tactical Analysis

4

0

OA4702Cost Estimation

4

0

 

Quarter 4, Winter/Summer

Course NumberTitleCreditsLecture HoursLab Hours
OS4680Naval Systems Analysis

4

0

OS3211Systems Optimization

4

0

 

Quarter 5, Spring/Fall

Course NumberTitleCreditsLecture HoursLab Hours
OS4011Risk Benefit Analysis

3

2

MN4053Defense Budget and Financial Management Policy

4

0

 

Quarter 6, Summer/Winter

Course NumberTitleCreditsLecture HoursLab Hours
OS3081Systems Analysis Cases I

3

0

MN3510Defense Financial Management Practice

3

0

Quarter 7, Fall/Spring

Course NumberTitleCreditsLecture HoursLab Hours
OS3082Systems Analysis Cases II

3

0

MN3221Principles of Acquisition and Program Management I

3

0

Quarter 8, Winter/Summer

Course NumberTitleCreditsLecture HoursLab Hours
OS4083Systems Analysis Cases III

3

4

MN3222Principles of Acquisition and Program Management II

3

0

Educational Skill Requirements (ESR)

Master of Systems Analysis (MSA) - Curriculum 363

Subspecialty Code: 3211P

  1. MATHEMATICS AND COMPUTATION: The graduate will possess the mathematical skills necessary for supporting graduate study in systems analysis and have the ability to use computers to aid in analysis.
  2. DATA PREPARATION AND STATISTICAL ANALYSIS:   The graduate will possess strong skills in data preparation, including collecting, cleaning, and manipulating datasets to ensure accuracy, completeness, and consistency, enabling robust and reliable analysis.  The graduate will be experienced in applying probability, statistics, and data analysis to model and analyze a broad range of decision problems.
  3. OPTIMIZATION: The graduate will be able to formulate and solve a wide variety of optimization problems with particular emphasis on applications in optimum allocation of scarce resources and multi-year capital budgeting.
  4. STOCHASTIC MODELING: The graduate will be able to use principles of probability modeling to include conditioning and expectation, reliability and failure rate analysis, discrete-time Markov chains and Poisson processes.
  5. SIMULATION: The graduate will be able to construct and utilize Monte Carlo simulation, simulate processes that evolve in time, and will be able to deal with statistical issues associated with the need for replication.
  6. SYSTEMS ANALYSIS: The graduate will be able to apply systems analysis concepts to make key decisions on requirements, systems deployment, and other operational challenges, with a particular emphasis on risk-benefit and cost-benefit analysis.
  7. PRACTICE: The graduate will have experience in all aspects of analytical studies, including review, critique, and oversight of the work of others, as well as participation in the conduct of an analytical study and capstone. Review, critique, and oversight include the ability to highlight critical assumptions, recognize strengths and weaknesses of applied analytical methodologies, and apply appropriate analytical methodologies. They will also be proficient in presenting the results both orally and in writing. 
  8. ANALYSIS OF MILITARY APPLICATIONS: The graduate will have significant exposure to operations analysis techniques in the context of military planning and operational decision making, and be able to model and apply these techniques to support concept development and, military planning, and develop appropriate decision support tools for military operational decision-making.
  9. SYSTEMS ANALYSIS CONTEXT: The graduate will have completed an approved option sequence in Defense Resource Management, or another approved option sequence in a particular defense systems area in which systems analysis may be applied.

Curriculum Sponsor and ESR Approval Authority

The Major Area Sponsor (MAS) for the Systems Analysis subspecialty is Deputy Chief of Naval Operations, Integration of Capabilities and Resources (OPNAV N8). The designated Subject Matter Expert (SME) for the Master of Systems Analysis curriculum is Director, Assessment Division, Office of the Chief of Naval Operations (OPNAV N81). The Curriculum and ESR approval authority is Deputy Chief of Naval Operations, Warfighting Development (OPNAV N7). (MSA Curriculum Review conducted 21 August 2024.)