Data Science (1400x200 slice)

Bachelor of Science in Statistics
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 the major (27 units)

Math 150 and 151 must be completed with a grade of C (2.0) or better, and cannot be taken for credit/no credit (Cr/NC).  The student must complete these courses before being allowed to register for the upper division finance courses.

All of the following
  • Math 150 - Calculus I (4 units)
  • Math 151 - Calculus II (4 units)
  • Math 245 - Discrete Mathematics (3 units)
  • Math 252 - Calculus III (4 units)
  • Math 254 - Intro to Linear Algebra (3 units)
  • CS 107 - Introduction to Computer Programming (3 units)
  • CS 108 - Intermediate Computer Programming (3 units)
  • Stat 250 - Statistical Principles and Practices (3 units)
One of the following
  • Stat 119 - Elementary Statistics for Business (3 units)
  • Stat 250 - Statistical Principles and Practices (3 units)

Major (36+ units)

A minimum of 36 upper division units selected with approval of the departmental adviser before starting upper division work.  

All of the following
  • Stat 325 - SAS Programming and Data Management (3 units)
  • Stat 350A -  Statistical Methods (3 units)
  • Stat 350B -  Statistical Methods (3 units)
  • Stat 410 - R Programming and Data Science (3 units)
  • Stat 551A - Probability and Mathematical Statistics (3 units)
  • Stat 551B - Probability and Mathematical Statistics (3 units)
  • Stat 580 - Statistical Computing (3 units)
  • CS 310 - Data Structures (3 units)
  • 6 upper division units in statistics, computer science, or a science of application
    with a heavy statistical computing component
One of the following
  • CS 503 - Scientific Database Techniques (3 units)
  • CS 514 -  Database Theory and Implementation (3 units)
  • MIS 380 - Data Management Systems
One of the following
  • Ling 571 - Computational Corpus Linguistics (3 units)
  • Ling 572 / BDA 572 - Python Scripting for Social Science (3 units)
  • Ling 581 / CS 581 - Computational Linguistics (3 units)

Other requirements

Graduation Writing Assessment Requirement.
Passing the Writing Placement Assessment with a score of 10 or completing 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.

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.

Adviser
 
Headshot: Barbara Bailey
 
Barbara Bailey
Associate Professor
GMCS-513