Statistics at Lehigh Home Page
Created on Feb. 6 1998 by Wei-Min Huang at Lehigh University.
Look for more information under this page in future.
M.S. Program in Statistics at Lehigh University
-
INTRODUCTION. The discipline of statistical sciences is concerned with
the art of developing techniques to gain information and make decisions
from data in the presence of uncertainty. The techniques are based on the
theory and tools of the various branches of mathematics, especially probability.
A graduate education in the statistical sciences allows one an entry into
many areas of physical and social sciences, medicine, business and government.
There are more than 130 universities in the US that offer graduate programs
in the statistical sciences. In spite of the declining graduate enrollment
in most disciplines across the country the enrollment in statistics has
remained steady over the last fifteen years. An average of 1000 M.S. degrees
in Statistics and Biostatistics are awarded every year. A recent study
by the NSF and DOE (NSF publication 80-78) concludes that during the 90's
"the supply of scientists and engineers at all degree levels will likely
be more than adequate to meet demand in all fields except computer professions,
statistics and some fields of engineering".
-
THE PROGRAM. The prerequisite for admission to the M.S. degree in Statistics
is an undergraduate degree that includes at least 9 semester-hours of calculus.
Students who have not had any course in linear algebra, complex variables
and advanced calculus are advised to take Lehigh's Math 205 (or 244), Math
208 (or 316) and Math 301 at the earliest opportunity.
The M.S. in Statistics requires 30 credit hours of graduate courses
with at least 18 hours of 400-level STAT courses for the Statistics track
and at least 18 hours of 400-level STAT or Math courses for the Stochastic
Modeling track (see the enclosed list). The choice of the courses must
be approved by the graduate advisor, and up to 6 hours of coursework may
be replaced with a thesis. In the event a 300-level Math course is cross-listed
with a 400-level STAT course, students enrolled in the former will receive
4 hours of credit and in the latter 3 hours of credit. All students in
the program must also pass a comprehensive examination. There is no language
requirement.
The M.S. program in Statistics has two tracks, Statistics and Stochastic
Modeling. The following is a guide for courses and electives in the two
tracks. These represent existing courses, although some have been cross
listed for the first time as STAT courses.
M.S. Program in Statistics has two tracks
-
Recommended Courses:
-
Math 309. Theory of Probability
-
STAT 434. Mathematical Statistics
-
STAT 412. Applied Statistics (Computational Statistics & Applications)
-
STAT 462. Nonparametric Statistics
-
Electives:
-
STAT 438. Linear Models in Statistics
-
STAT 461. Topics in Mathematical Statistics
-
STAT 410. Probability and Its Applications
-
Other Possible Electives:
-
STAT 408. Statistics and Probability Seminar (Spring)
-
STAT 409. Statistics and Probability Seminar (Fall)
-
Educ 411. Multivariate Statistical Methods
-
I.E. 332. Product Quality
-
I.E. 409. Time Series Analysis
-
I.E. 410 Design of Experiments
-
Eco 455. Econometrics II
-
Eco 463. Advanced Statistical Methods
-
CSc 411. Advanced Programming Techniques
-
-
Stochastic Modeling Track
-
Recommended Courses:
-
Math 309. Theory of Probability
-
STAT 410. Probability and Its Applications
-
STAT 463. Advanced Probability
-
Math 401. Real Analysis I
-
Electives:
-
STAT 434. Mathematical Statistics
-
STAT 438. Linear Models in Statistics
-
STAT 464. Advanced Stochastic Processes
-
Math 341. Mathematical Models and Their Formulation
-
Other Possible Electives:
-
STAT 408. Seminar in Statistics and Probability (Spring)
-
STAT 409. Seminar in Statistics and Probability (Fall)
-
Math 320. Ordinary Differential Equations
-
Math 340. Design and Analysis of Algorithms
-
Math 402. Real Analysis II
-
Math 407. Theory and Techniques of Optimization
-
Math 430. Numerical Analysis
-
Math 467. Financial Calculus I
-
Math 468. Financial Calculus II
-
Eco. 453. Index Numbers and Time Series Analysis
-
CSc 411. Advanced Programming Techniques
-
I.E. 316. Advanced Operations Research Techniques
-
I.E. 339. Queuing Theory
-
I.E. 409. Time Series Analysis
-
I.E. 416. Dynamic Programming
-
I.E. 439. Applications of Stochastic Processes
APPENDIX
Current Math courses to be cross-listed in the catalogue as STAT courses
are as follows. We have elevated some 300 level Math courses to the level
of 400 STAT courses in order to facilitate meeting the 18 credit hour requirement
for M.S. in Statistics.
-
STAT 410 = Current Math 310
-
STAT 434 = Current Math 334
-
STAT 412 = Current Math 312
-
STAT 438 = Current Math 338
-
STAT 462 = Current Math 462
-
STAT 409 = Current Math 409
-
STAT 408 = Current Math 410
-
STAT 461 = Current Math 461
-
STAT 463 = Current Math 463
-
STAT 464 = Current Math 464
An undergraduate student will receive 4 hours of credit if enrolled
in Math 310, 334, 312 or 338 but 3 hours of credit if enrolled in STAT
410, 434, 412 or 438.
For more information, please send e-mail to wh02@Lehigh.edu or
click here
Mail-Me, if your web server supports
forms.
Click for Lehigh's home page or for Lehigh
Mathematics Department
home page.
To return to Lehigh's home page, click here.