Mathematics/Statistics and Computer Science, Integrated, B.S.

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BS in Mathematics/Statistics and Computer Science, Integrated

Description

This integrated major provides students with a combination of in-depth knowledge of mathematical foundations and technical computer science skills. It is intended for careers that require a strong computer science foundation and a strong mathematical/statistical background.

What careers can this major prepare you for?

Students in the Mathematics/Statistics and Computer Science program will develop a deep understanding of the mathematical foundation and acquire practical computing skills to solve challenging problems. There are many career possibilities with this educational background. Some examples are finance and investment analyst, data & business analyst, modeling analyst, software engineer, data engineer, machine learning analyst, statistician, data scientist, and cryptographer. This degree can be applied in all industries and employment sectors.

What skills are developed within this major?

Students will develop advanced skills in coding and data structures, mathematical and statistical reasoning, critical thinking, business sense, client consulting, and effective communication and presentation. Students will be using real datasets and industry standard software and computing systems to solve real problems.

Hours Required for Degree

Minimum hours required for degree: 120 credits

Minimum hours for major: 88 credits

Major Requirements

Students should work with their academic advisor to select the necessary core courses.

Math/Stat and Computer Science Core Courses (24 Credits)

Note: Grades of C or better in MTH 181 , MTH 182 , MTH 220 will be needed as a pre-requisite to take advanced MTH coursework. STA 323 is the pre-requisite for STA 347 .

Math/Stat Requirements (16 Credits)

Note: Grade of B or better in STA 347 will be needed as a pre-requisite to take advanced STA coursework.

Computer Science Requirements (13 Credits)

Math/Stat Electives (9 Credits)

The elective courses should be chosen in consultation with a faculty advisor and must be chosen from among the following Mathematics/Statistics electives.

Note: There may be pre-requisite grade levels for some of the elective coursework.

Computer Science Electives (9 Credits)

The elective courses should be chosen in consultation with a faculty advisor and must be chosen from among the following Computer Science electives.

Electives (12 Credits)

Elective courses are recommended to be chosen in consultation with a faculty advisor and are recommended but not required to be chosen from the Mathematics, Statistics, and Computer Science courses.

Capstone Project (5 Credits)

Honors Program/University Scholars Requirements

A University Honors/Scholar Program student will be able to graduate with Honors in Mathematics/Statistics and Computer Science by completing the general requirements of the Honors or University Scholars Program and all of the following:

Satisfy all requirements for the Mathematics/Statistics and Computer Science major;
Complete three 400-level CIS or MTH/STA Honors Contract courses, for a total of 9 honor credits.
Complete three credits of Honors Research (CIS 495H ) or Honors Project (MTH 496H , in place of MTH 496 ) with a C or better grade. CIS 495H should be conducted jointly with a Computer Science faculty. MTH 496H requires all the requirements of MTH 496 , plus an oral presentation of the student’s work and should be conducted jointly with a Mathematics/Statistics faculty.