ace589

There are many schools for which you are qualified. Your background is above average and most deparments should value this over a higher gpa with less variety of coursework. I would say you can get into a decent Phd program. You should apply to a couple masters programs incase you dont get into a Phd. Then you can apply to a Phd in another year or two.

I went to NMSU in Las Cruces, NM it is a nice campus with many talented professors and research groups. Diversity was greatly valued. You may also consider applying to smaller campuses that are affordable and may offer scholarships to international students.

These schools sound like a good balance. You may include a school or two that only requires a 3.0 Depending on the school and what classes you did not mention, there may be some foundations courses you may have to take. Or possibly a graduate level course that is sufficient. You will most likely need to do so for probability since you recieved a "C". You can check the admissions requirements for each program. Typically prob and stat, intro to real, and maybe abstract algebra are the minimum level. Why are you ommitting the midwest and south? There are some more affordable and respectable programs in these regions.

The OR track. However I am biased because my MS was IEOR. The OR track will be slightly more applied than stats. For me OR classes really helped with grasping practical applications. Keep in mind that the common core courses appear to have survey courses in both areas.

Depending on the size of your university you may be able to find enough students willing to take it next semester that the department will offer it. Maybe the professor can post a bulletin? Alternatively a few universities will offer it online. Try to find one where out of state tuition is same as in state for part time and non degree enrollment.

Owego my guess is that it will cover topics in linear algebra and discrete math as well as calculus. So I would not assume that calculus is an alternative but it wouldn't hurt.

A quick search looks like most programs require core engineering courses (fluid dynamics, thermodynamics/heat transfer, statics and strength of material, electrodynamics) or equivalent courses required to pass the FE exam. Atleast 3 courses in geology and 2 in mining methods and processing.

A B- is generally considered passing but below expectations. Analysis is a core course that is considered to be very important. But if you feel that you came out with a goood understanding and put in your best effort then you shouldn't be worried. Anyhow, it sounds like you should have taken the undergraduate analysis first...

Pay attention to program prerequisites. Most will require data structures and algorithms. Some will also require operating systems or machine programming. Also pay attention to the curriculum. Some schools will be centered around areas or thoughts for which you will have little interest. Note that any engineering degree at the graduate level is highly computational. Nowadays numerical and statistical computing are the primary focus of research for PhDs in engineering.

Rhyme2rock Generally Masters degrees are not funded by the university but by employers. Curriculum will vary greatly between schools. My advice is to research which schools specialize in a subfield that interests you. General requirements are an engineering, science, or technical bachelors degree with differential equations, linear algebra, and calculus based undergrad probability and statistics. Unlike other degrees IE is interdisciplinary and the graduate curriculum usually doesn't have any core courses. Some schools will allow or even encourage ME, EE, Math, or Business courses. An interesting fact... My department head said only about 1 of 30 IE graduate students has an IE undergrad degree.

From my research I gather that most public and private universities prefer a B- and higher in a sequence of CS undergrad courses or at least a 50th percentile on the CS subj test.

Microsoft's Academic Search does seem to have some faults. I would not use it as strong indicator of a good school. Some schools with a good reputation appear to have no data.