Statistics at Lehigh Home Page
Created on Feb. 6 1998 by WeiMin 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 8078) 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 semesterhours 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 400level STAT courses for the Statistics
track
and at least 18 hours of 400level 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 300level Math course is
crosslisted
with a 400level 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. Statistical Computing & Applications

STAT 462. Nonparametric Statistics with Applications

STAT 438. Linear Models in Statistics with Applications

STAT 461. Topics in Mathematical Statistics

STAT 410. Random Processes
 Possible Electives:

STAT 408. Statistics and Probability Seminar (Spring)

STAT 409. Statistics and Probability Seminar (Fall)
 STAT 463 Advanced Probability
 STAT 464 Advanced Stochastic Process
 Math 467. Financial Calculus I
 Math 468. Financial Calculus II

I.E. 332. Product Quality

I.E. 409. Time Series Analysis

I.E. 410. Design of Experiments

Eco 463. Topics in Game Theory
 Educ 411. Multivariate Statistical Methods

CSc 411. Advanced Programming Techniques


Stochastic Modeling Track

Recommended Courses:

Math 309. Theory of Probability

STAT 410. Random Processes

STAT 463. Advanced Probability

Math 401. Real Analysis I

Electives:

STAT 434. Mathematical Statistics

STAT 438. Linear Models in Statistics with Applications

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 crosslisted 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 email to wh02 at Lehigh dot
edu.
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