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    Statistics Major

    Paul H. Chook Department of Statistics and Computer Information Systems

    Department of Mathematics

    Statistical methods are crucial in numerous fields such as biology, physics, climate science, and finance, to name a few. The Bachelor of Arts in Statistics major is intended to provide students with fundamental knowledge and skills in probability, mathematical statistics, data analysis, and statistical computing. Students will explore the mathematical foundations of the theory of statistics. The demand for these skills has increased with the rise of big data.  This major is intended to prepare students for graduate study in statistics or related subjects or for a career in data analysis or other related fields.

    A student majoring in statistics cannot minor in mathematics; nor can they declare a second major in actuarial science, financial mathematics, or mathematics.

    Please note – Any business courses completed for this major (CIS, OPR, STA) do not count toward the 90 liberal arts credit minimum for the BA degree.

    Requirements for the Major

    As a preliminary requirement, students must complete the following courses:

    STA 2000

    Business Statistics I

    3 credits

    MTH 3020

    Calculus III

    4 credits

    or

    MTH 3030

    Elements of Calculus III

    5 credits

    or

    MTH 3050

    Calculus III and Vector Calculus

    4 credits

    MTH 4100

    Linear Algebra and Matrix Methods

    3 credits

    MTH 4120

    Introduction to Probability**

    4 credits

    MTH 4430

    Mathematics of Inferential Statistics

    4 credits

    STA 3000

    Statistical Computing

    3 credits

    STA 3920

    Data Mining for Business Analytics

    3 credits

    STA 4155 *

    Regression and Forecasting Models for Business Applications

    3 credits

    or

    MTH 4130 *

    Mathematics of Data Analysis

    4 credits

     

    NOTES:

    * Students can receive credit for only one of these two courses.

    ** Students who have completed  MTH 3120 cannot enroll in MTH 4120. They must satisfy the probability requirement by completing MTH 4119 (please consult the Department of Mathematics).

    Students must take one of the following courses: ***

    STA 4920

    Advanced Data Mining

    3 credits

    STA 4158

    Analysis of Time Series

    3 credits

    STA 4000

    Introduction to SAS Programming

    3 credits

    OPR 3450

    Quantitative Decision Making for Business I

    3 credits

    *** These courses may also be used as electives for the major

    Electives

    Students must complete one additional course from the following list:

    MTH 4000

    Bridge to Higher Mathematics

    3 credits

    MTH 4010

    Mathematical Analysis I

    3 credit

    MTH 4020

    Advanced Calculus II

    3 credits

    MTH 4030

    Topology

    3 credits

    MTH 4110

    Ordinary Differential Equations

    3 credits

    MTH 4115

    Numerical Methods for Differential Equations in Finance

    4 credits

    MTH 4125

    Introduction to Stochastic Process

    4 credits

    MTH 4135

    Computational Methods in Probability

    3 credits

    MTH 4140

    Graph Theory

    3 credits

    MTH 4145

    Mathematical Modeling *

    3 credits

    MTH 4150

    Combinatorics

    3 credits

    MTH 4200

    Theory of Numbers

    3 credits

    MTH 4210

    Elements of Modern Algebra

    3 credits

    MTH 4220

    Introduction to Modern Geometry

    3 credits

    MTH 4230

    History of Mathematics

    3 credits

    MTH 4240

    Differential Geometry *

    3 credits

    MTH 4300

    Algorithms, Computers and Programming II

    3 credits

    MTH 4310

    Methods of Numerical Analysis

    3 credits

    MTH 4315

    Introduction to Mathematical Logic

    3 credits

    MTH 4320

    Data Structures and Algorithms (formerly Fundamental Algorithms)

    3 credits

    MTH 4410

    Theory of Interest

    3 credits

    MTH 4420

    Actuarial Mathematics I

    4 credits

    MTH 4421

    Actuarial Mathematics II

    4 credits

    MTH 4451

    Short-Term Insurance Mathematics

    4 credits

    MTH 4500

    Introductory Financial Mathematics

    4 credits

    MTH 4600

    Data Analysis and Simulation for Financial Engineers

    4 credits

    MTH 5010

    Advanced Calculus III *

    3 credits

    MTH 5020

    Theory of Functions of a Complex Variable

    3 credits

    MTH 5030

    Theory of Functions of Real Variables *

    3 credits

    MTH 5100

    Partial Differential Equations and Boundary Value Problems *

    4 credits

    MTH 5500

    Stochastic Calculus for Finance

    4 credits

    CIS 2300

    Programming and Computational Thinking

    3 credits

    CIS 3100

    Object-Oriented Programming

    3 credits

    CIS 3120

    Programming for Analytics

    3 credits

    CIS 3400

    Database Management Systems I

    3 credits

    CIS 4100

    Object-Oriented Programming II

    3 credits

    CIS 4400

    Data Warehousing for Analytics

    3 credits

    OPR 3450

    Quantitative Decision Making for Business I

    3 credits

    OPR 3451

    Quantitative Decision Making for Business II

    3 credits

    OPR 3453

    Bayesian Statistical Inference and Decision Making

    3 credits

    OPR 4470

    Special Topics in Operations Research

    3 credits

    OPR 5000

    Independent Study and Research in Operations Research

    3 credits

    STA 4000

    Introduction to SAS Programming

    3 credits

    STA 4157

    Experimental Design for Machine Learning (formerly Design and Analysis of Experimental Data)

    3 credits

    STA 4158

    Analysis of Time Series

    3 credits

    STA 4170

    Data Visualization

    3 credits

    STA 4370

    Special Topics in Applied Statistics

    3 credits

    STA 4920

    Advanced Data Mining

    3 credits

    STA 5000

    Independent Study in Statistics

    3 credits

    * These courses are offered infrequently, subject to student demand.

    Students are expected to complete the major requirements in place at the time they are officially accepted into their programs. Please review the College Bulletin for the relevant academic year.

    Contact
    Professor Youngdeok Hwang
    Department of Statistics and Computer Information Systems, 646 312-3411


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