M.S. in Statistics

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

    Statistics Track

    Recommended Courses:
    Math 309. Theory of Probability
    STAT 434. Mathematical Statistics
    STAT 412. Statistical Computing & Applications
    STAT 462. Modern Nonparametric Methods in Statistics
    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 or IE 458. Topics in Game Theory
    Educ 411. Multivariate Statistical Methods
    CSE 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
      CSE 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.