Computational and Applied Mathematics and Statistics, Applied Statistics Track, BS

The Applied Statistics major gives students a rigorous training in the highly-interdisciplinary modern practice of statistics. The major draws upon a foundation of topics in mathematics and computer science to build a core specialization in applied and theoretical statistics and enriches this statistical knowledge with cross-disciplinary electives. Possible areas of focus within the major include: econometrics, data science, general applied statistics, and actuarial science.

Minimum Course Pre-requisites

MATH 111 - Calculus I Credits: (4) or MATH 131
MATH 112 - Calculus II Credits: (4) or MATH 132
MATH 214 - Foundations of Mathematics Credits: (3)
Note: other prerequisite courses may be needed depending upon elective courses selected. For example, ECON 101 /ECON 102 may be required for ECON electives.

Major Writing Requirement

The upper-division writing requirement is satisfied by one of the following ways:

Completion of ECON 308  or
ECON 380
  or MATH 352  or MATH 455  or
MATH 459
  with a grade of C- or better, or
Completion of CAMS 495 and CAMS 496 , which requires the writing of an Honors thesis.

Major Computing Requirement: 7 Credits

Students satisfy the computing requirement by taking:

CSCI 141 - Introduction to Programming Credits: (4) or
DATA 141 - Programming for Data Science Credits: (4)
and
CSCI 241 - Data Structures Credits: (3)

Major Mathematics Requirement: 6 or 7 Credits

Students satisfy the mathematics requirement by taking:

MATH 211 - Linear Algebra Credits: (3)
and
MATH 212 - Introduction to Multivariable Calculus Credits: (3) or MATH 213 - Multivariable Calculus for Science and Mathematics (4)

Major Statistics Requirement: 9 Credits

Students complete the statistics requirement by taking the following:

MATH 451 - Probability Credits: (3) and
MATH 452 - Mathematical Statistics Credits: (3)
AND at least one of:
CSCI 416 - Introduction to Machine Learning Credits: (3)
CSCI 688 - Linear Regression Credits: (3)

Permission to take CSCI 688 can be found here.

ECON 408 - Time-Series Econometrics Credits: (3)
MATH 352 - Statistical Data Analysis Credits: (3)
MATH 455 - Statistical Learning Credits: (3)
NOTE: CSCI 416, CSCI 688, ECON 480, MATH 352, MATH 455 may also be counted in the elective section below.

Electives: 24 Credits

A total of 24 elective credits consisting of: 9-15 credits of Statistics and Math electives; and 9-15 credits of cross-disciplinary electives.

Statistics and Mathematics Electives: 9 Credits (minimum)

Statistics Courses:
MATH 351 - Probability and Statistics for Scientists Credits: (3)
Note: MATH 351 cannot not be taken concurrently with MATH 451, nor after receiving credit for MATH 451. CAMS majors are encouraged to proceed directly to MATH 451 and consult with a CAMS director if they have any questions.
MATH 352 - Statistical Data Analysis Credits: (3)
MATH 353 - Advanced Statistical Data Analysis Credits: (3)
MATH 424 - Operations Research: Stochastic Models Credits: (3)
MATH 455 - Statistical Learning Credits: (3)
MATH 459 - Topics in Statistics Credits: (1-3)
MATH 465 - Mathematics of Financial Economics Credits: (3)
Mathematics Courses:
MATH 309 - Intermediate Linear Algebra Credits: (3) or MATH 408 - Advanced Linear Algebra Credits: 3 (but not both)
MATH 311 - Elementary Analysis Credits: (3)
MATH 323 - Operations Research: Deterministic Models Credits: (3)
MATH 410 - Special Topics in Mathematics Credits: (1-3) (Subject to approval of CAMS Applied Statistics Track Director)
MATH 413 - Introduction to Numerical Analysis I Credits: (3)

Cross-disciplinary Electives: 9 Credits (minimum)

Students must take 9-15 credits from among any of the courses in the following lists of cross-disiciplinary electives:

Computer Science Courses:
CSCI 301 - Software Development Credits: (3)
CSCI 303 - Algorithms Credits: (3)
CSCI 416 - Introduction to Machine Learning Credits: (3)
CSCI 420 - Special Topics in Computer Science Credits: 1-3 credits, depending on material.
CSCI 421 - Database Systems Credits: (3)
CSCI 426 - Simulation Credits: (3)
or any of the following graduate courses (these courses may be taken by completing this form):
- CSCI 668 - Reliability Theory Credits: (3)
- CSCI 678 - Statistical Analysis of Simulation Models Credit: (3)
- CSCI 688 - Linear Regression Credits: (3)
- CSCI 688 - Design of Experiments Credits: (3)
- CSCI 688 - Topics in Computational Operations Research Credits: (3)
Economics Courses:
ECON 308 - Econometrics Credits: (3)
ECON 380 - Experimental Economics Credits: (3)
ECON 400 - Topics in Economics Credits: (3-4) (subject to approval of CAMS Applied Statistics Track Director)
ECON 407 - Cross Section Econometrics Credits: (3)
ECON 408 - Time-Series Econometrics Credits: (3)
ECON 414 - Bayesian Econometrics Credits: (3)

Note:

Credit for CAMS 495-496 Honors, with faculty advisor approved by the Applied Statistics Track Director, may substitute for any two elective courses, as long as the two courses are not in the same category. In addition, with advisor approval, students may replace one elective course with one or more independent study or research credits, which must total at least 3 credits.