Master of Science in Operations Research Online

Our master’s in operations research is one of the few operations research programs in the nation, which means you can stand out in a competitive market with a unique and valuable skillset.

Apply By: 5/5/25
Start Class: 5/19/25
Apply Now

Program Overview

Move forward with your MS in Operations Research online

Forecast the positive and negative implications of leadership choices with your Master of Science in Operations Research degree from Florida Tech Online. Through cutting-edge curriculum focused on mathematics and stochastic processes, you will learn to create statistical models and examine data to help organizations improve efficiency, asset management, policies and operational decision-making.

Industry-leading faculty will teach you to make data-driven decisions about real-world business challenges and devise solutions involving complex design, allocation, planning and logistics. Most professors are active in their field while instructing, empowering them to provide insightful perspectives on modern issues. No matter the focus of your bachelor’s degree, you can apply to this innovative graduate program.

As a graduate of this program, you will be prepared to:

  • Support and clarify your messages by using the appropriate vocabulary to convey information, concepts and ideas orally
  • Clearly and effectively convey information by utilizing the proper form, emphasis, usage, spelling and punctuation to ensure quality through the written medium
  • Analyze a situation or text and make thoughtful decisions based on that analysis
  • Conduct research from primary and secondary sources; evaluate those sources' credibility, bias, evidence and reasoning; identify and challenge writer's assumptions; and write texts that are informed by one's research
  • Effectively apply appropriate concepts, tools and techniques to analyze and solve problems in the field of operations research
As a graduate of this program, you will be prepared to:
  • Support and clarify your messages by using the appropriate vocabulary to convey information, concepts and ideas orally
  • Clearly and effectively convey information by utilizing the proper form, emphasis, usage, spelling and punctuation to ensure quality through the written medium
  • Analyze a situation or text and make thoughtful decisions based on that analysis
  • Conduct research from primary and secondary sources; evaluate those sources' credibility, bias, evidence and reasoning; identify and challenge writer's assumptions; and write texts that are informed by one's research
  • Effectively apply appropriate concepts, tools and techniques to analyze and solve problems in the field of operations research

Career opportunities:

  • Operations research analyst
  • State government analyst
  • Cost analyst
  • Business systems analyst
  • Healthcare analyst
  • Procurement officer
  • Policy analyst
  • Statistician
  • Data and systems analyst
  • Finance analyst
  • Strategic growth analyst
  • Human resources analyst
Career opportunities:
  • Operations research analyst
  • State government analyst
  • Cost analyst
  • Business systems analyst
  • Healthcare analyst
  • Procurement officer
  • Policy analyst
  • Statistician
  • Data and systems analyst
  • Finance analyst
  • Strategic growth analyst
  • Human resources analyst

Also available:

At Florida Tech, we offer a variety of in-demand online programs that prepare you with relevant skills for your career of choice. Take a look at our other business programs.

Also available:

At Florida Tech, we offer a variety of in-demand online programs that prepare you with relevant skills for your career of choice. Take a look at our other business programs.

Total Tuition $19,100.10*
Duration As few as 12 months
Credit Hours 30
Apply Now

Need More Information?

Call 833-591-1092 today!

Call 833-591-1092 today!

Tuition

Stay on budget with competitive tuition

Tuition for the MS in Operations Research is affordable. Take advantage of our pay-by-the-course system, so you can manage your budget as you pursue your degree. Technology fees are included in the total tuition.

View additional tuition information+

Program Per Credit Hour Per Course Per Program
MS Operations Research $636.67 $1,910.01 $19,100.10

*Published tuition costs may differ from a student’s estimated total “cost of attendance,” which includes the amount an online student may choose to spend on expenses such as housing and food, books and supplies, transportation and other personal items or activities per academic year. As a Florida Tech Online student, you will only ever be billed for applicable tuition and fees. All other costs listed below are estimates per academic year required by the federal government to help you budget for your education. For further information regarding program tuition and fees, please reach out to your enrollment representative or refer to the undergraduate or graduate fees policy. View full cost of attendance information.

Potential Expenses Per Year

Program Technology Fees Federal Student Loan Fees Housing & Food Books & Supplies Transport Personal Expenses Total
MS Operations Research (Full-Time) $300 $166 $15,240 $1,200 $1,500 $2,100 $
MS Operations Research (Part-Time) $150 $166 $7,620 $600 $750 $1,050

Tuition breakdown:

Total Tuition $19,100.10*
Per Credit Hour $636.67

Calendar

Choose a start date and secure your spot

The MS in Operations Research online program is ideal for working students. Choose from multiple start dates and complete your degree at the pace that best fits your schedule.

View full calendar  + 

TermStart DateApp DeadlineDocument DeadlineRegistration DeadlineTuition DeadlineClass End DateTerm Length
Summer 20255/19/255/5/255/12/255/14/255/16/257/13/258 weeks

Now enrolling:

Next Apply Date 5/5/25
Start Class 5/19/25

Ready to take the next steps toward earning your degree?

Apply Now

Admissions

Review the online master’s in operations research admission guidelines

At Florida Tech, we’ve streamlined the admission process to help you get started quickly. Please read the requirements for the MS in Operations Research online program.

View all admission requirements +

  • Prerequisite coursework:
    • A proficiency in mathematics covering topics in calculus, probability, statistics and linear algebra must be demonstrated by suitable coursework at undergraduate level
  • Application for admissions
  • Undergraduate degree in a mathematics, science or engineering discipline that requires a significant amount of mathematics. Business majors with strong quantitative backgrounds are also encouraged to apply.
  • Two letters of recommendation
  • Official transcripts from all colleges and universities
  • Current résumé
  • Undergraduate cumulative GPA of 3.0 on 4.0 scale

Official transcripts, test scores and other documents should be sent to:

Mail address:
Office of Admissions
150 W. University Blvd.
Melbourne, FL 32901

Admission Requirements

  • No application fee
  • No GMAT/GRE
  • GPA of 3.0 or above

Courses

Look over the operations research master’s online degree plan

For the MS in Operations Research online, the curriculum comprises 30 operations research master's course credit hours.

Expand All
Duration: 8 Weeks weeks
Credit Hours: 3
Provides theory and applied treatment of linear programming problems including network and transportation problems and integer programming. Includes formulation of deterministic linear models, analysis and solution methods for linear optimization problems, applicability to complex systems in real-world problems.
Duration: 8 Weeks weeks
Credit Hours: 3
Covers discrete and continuous random variables, generating and moment generating functions, multivariate distributions, covariance and correlation, sums of independent random variables, conditional expectation, Central Limit Theorem, Markov and Chebyshev inequalities and the Law of Large Numbers.
Duration: 8 Weeks weeks
Credit Hours: 3
An applied treatment of modeling, analysis and solution of probabilistic operations research problems. Topics chosen from decision analysis, game theory, inventory models, Markov chains, queuing theory, simulation, forecasting models.
Duration: 8 Weeks weeks
Credit Hours: 3
Includes OR methodology, how an OR analyst interacts with clients, and preparation and presentation of oral reports. Students form teams to analyze real cases where each student gets an opportunity to be a team leader and present oral reports.
Duration: 8 Weeks weeks
Credit Hours: 3
Seminars organized by the Department of Mathematics and Systems Engineering. These include technical talks given by graduate students, faculty members and visiting or invited speakers on various research topics in mathematics and in operations research.
Duration: 8 Weeks weeks
Credit Hours: 3
Linear algebra, systems of linear equations and Gauss elimination method; inverses, rank and determinants; vector spaces; linear transformations, linear functional and dual spaces; eigenvalues, eigenvectors; symmetric, Hermitian and normal transformations; and quadratic forms.
Duration: 8 Weeks weeks
Credit Hours: 3
Includes interpolation and approximation with polynomials and Fourier series, single and multi-step methods for ODEs and stability analysis, finite difference and finite element methods for hyperbolic conservation laws and boundary value problems, eigenvalue problems.
Duration: 8 Weeks weeks
Credit Hours: 3
Includes numerical solution of linear systems and linear least square problems, eigenvalue algorithms, and matrix factorization/ decomposition. Presents analysis of numerical algorithms in linear algebra and their applications in Image Analysis, Signal Processing, Software Engineering, and Fluid Mechanics.
Duration: 8 Weeks weeks
Credit Hours: 3
Introduces architectures, algorithms and applications. Includes single and multilayer perceptrons, counterpropagation, Kohonen self-organization, adaptive resonance theory, neocognition, probabilistic neural networks and Boltzmann machines with and without learning, recurrent neural networks.
Duration: 8 Weeks weeks
Credit Hours: 3
Provides an in-depth introduction to statistical modeling and inference with linear models. Bayesian statistics, and related methods including simple linear regression, multiple regression, ANOVA, polynomial regression, Bayesian linear regression, MCMC algorithm, and sampling methods.
Duration: 8 Weeks weeks
Credit Hours: 3
Covers fundamentals of nonlinear continuous unconstrained and constrained optimization, methods for solving nonlinear programming problems. Includes analysis of widely used iterative algorithms and their convergence, convexity and optimality conditions, gradient methods, Lagrangian functions, elements of duality theory and implementing constraints.
Duration: 8 Weeks weeks
Credit Hours: 3
Covers statistical distributions, statistical tests for data, least squares and regression, estimations, tests of hypotheses, analysis of variance, planning and designing research experiments, randomized blocks, Latin and Graeco-Latin squares and data reduction, analysis using ANOVA (analysis of variance) and other methods.
Duration: 8 Weeks weeks
Credit Hours: 3
Includes maximum likelihood and Bayes estimators, confidence intervals, testing hypotheses, uniformly most powerful tests, nonparametric methods (chi-square and Kolmogorov-Smirnov goodness-of-fit tests) and regression analysis.
Duration: 8 Weeks weeks
Credit Hours: 3
Describes how to implement regression-based machine learning models for prediction and inference using available data. Presents algorithms, techniques, and applications of regression-based machine learning models at an advanced level by building on the knowledge of probability and statistics.
Duration: 8 Weeks weeks
Credit Hours: 3
Includes queuing processes; imbedded and continuous time parameter processes; Markov, semi-Markov and semi-regenerative processes; single-server and multiserver queues; and processes of servicing unreliable machines. Controlled stochastic models.
Duration: 8 Weeks weeks
Credit Hours: 3
Studies combinatorial optimization and integer programming.
Duration: 8 Weeks weeks
Credit Hours: 3
Introduces stochastic models, discrete- and continuous-time stochastic processes, point and counting processes, Poisson counting process, compound Poisson processes, nonstationary Poisson processes, renewal theory, regenerative processes and Markov chains.
Duration: 8 Weeks weeks
Credit Hours: 3
Covers normative models of decisions under certainty, risk and uncertainty; assessment of subjective probability and utility functions; Bayesian decision analysis and the value of information; influence diagrams; and descriptive aspects of decision making.
Duration: 8 Weeks weeks
Credit Hours: 3
Covers the principles of reliability analysis and assessment; reliability probability models; combinatorial and system reliability; and reliability estimation.
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