Introduction to the field:
Operations research analyst (O.R.),, also known as management science are usually employed in the industry.
People in this area help coordinated organization and work more efficiently through the application of mathematics to problems of organization.
When employers seek people, they are looking for two primary skills:
First of all, they are looking for a person can think logically and work well with people
Second, they are looking for people who are able to use a computer and do some programs.
The subsequent skill is very important because computers are widely used for quantitative analysis. Finally, of course, they are looking for math majors too!
Standard O.R. techniques such as linear programming, analysis of critical path, Simulation, statistical theory of the decision, Queuing theory and theory of inventory control, mathematical modeling may be used.
Specialist work could be in production, financial or marketing planning areas.
It is not likely that you have taken courses at the College if your major was in pure mathematics.
Although it comes to mathematics, it is the specialized classes for candidates in the field.
There are many examples of mathematical models involving differential equations of first order, such as the heating and cooling of the building, electrical circuits, prices, supply and demand, boards of plane in a crosswind. These applications are widely used in the industry.
However, it does not matter if you don’t take these courses. Solid experience in mathematics and computer science should be enough to get you a ticket in this area.
Get the job:
If you are interested, that you would normally get a bachelor in O.R. or if you do not have a bachelor in O.R., but you have math, you would try to get a master’s in O.R.
I do not believe to the best of my knowledge, certification is a requirement at this time, to become an operations research analyst.
Over time, after you have acquired enough experience, you can become an independent consultant or any other job management high-level