Statistics, Emphasis in Data Science, B.S. in Applied Arts and Sciences

(Major Code: 17021) (Academic Plan Code: 776374BSS)

All candidates for a degree in applied arts and sciences must complete the graduation requirements listed in the section of this catalog on “Graduation Requirements .”

A minor is not required with this major.

Upon entry to the program, the student will be assigned to an undergraduate adviser in statistics. Thereafter, the student will meet with the adviser each semester and discuss his or her academic program. A program of study must be approved by the undergraduate adviser in statistics.

In addition to meeting the requirements for undergraduate standing and the basic requirements for the bachelor of science degree as described in this catalog, the student must complete a Graduation Writing Assessment Requirement and must complete a minimum of 60 units of coursework as described below.

Emphasis in Data Science

Modern day statistics applications require heavy computing for manipulating massive data sets, mining immense databases, and implementing computationally intensive data analytic tools to solve complex scientific problems. This emphasis is designed to prepare students for careers in statistics by providing them with the data analytic and computational machinery needed to excel in all avenues of statistical science during an information age where statistical computing plays a crucial role. Students completing this emphasis would also be well prepared for graduate study in statistical computing and statistics.

Preparation for Major

(35 units)

STAT 200 - Introduction to Data Science with R Units: 3
STAT 250 - Statistical Principles and Practices Units: 3
MATH 150 - Calculus I Units: 4 must be completed with a minimum grade of C (2.0) and cannot be taken for credit/no credit (Cr/NC).
MATH 151 - Calculus II Units: 4 must be completed with a minimum grade of C (2.0) and cannot be taken for credit/no credit (Cr/NC).
MATH 245 - Discrete Mathematics Units: 3
MATH 252 - Calculus III Units: 4
MATH 254 - Introduction to Linear Algebra Units: 3
CS 150 - Introductory Computer Programming Units: 3
and
CS 150L - Introductory Computer Programming Laboratory Units: 1
CS 160 - Intermediate Computer Programming Units: 3
and
CS 160L - Intermediate Computer Programming Laboratory Units: 1
CS 210 - Data Structures Units: 3

Graduation Writing Assessment Requirement

Complete one of the approved upper division writing courses (W) with a grade of C (2.0) or better. See “Graduation Requirements ” section for a complete listing of requirements.

Major

A minimum of 36 upper division units to include:

STAT 325 - SAS Programming and Data Management Units: 3
STAT 350A - Statistical Methods Units: 3
STAT 350B - Statistical Methods Units: 3
STAT 410 - Statistical Programming in Data Science Units: 3
STAT 551A - Probability and Mathematical Statistics Units: 3
STAT 551B - Probability and Mathematical Statistics Units: 3
STAT 580 - Statistical Computing Units: 3
CS 503 - Scientific Database Techniques Units: 3
or
CS 514 - Database Theory and Implementation Units: 3
or
MIS 380 - Data Management Systems Units: 3
LING 571 - Computational Corpus Linguistics Units: 3
or
LING 572 - Python Scripting for Social Science Units: 3
also listed as
BDA 572 - Python Scripting for Social Science Units: 3
or
LING 581 - Computational Linguistics Units: 3
also listed as
CS 581 - Computational Linguistics Units: 3

Nine Upper Division Units

Nine upper division units in statistics, computer science, or a science of application with a heavy statistical computing component (selected with the approval of the undergraduate adviser in statistics).

Master Plan

A master plan of the courses taken to fulfill the major must be approved by the adviser and filed with the major department.