Computer Information Systems B.S.

Outcomes

A degree in computer information systems opens up a wide range of career opportunities. Graduates can pursue roles such as systems analysts, network administrators, database administrators, software developers or IT consultants. They may work in various industries, including technology firms, finance, healthcare, government or education. 

Other options include positions in cybersecurity, web development, project management or business intelligence, where they can leverage their skills in technology and data management to drive innovation and solve complex problems in the digital age.

Career Outlook

  • Average Salary: $74,502
  • Job Postings: 2,828

Average salary is based on a 2024 NACE Salary Survey. Job posting data is for software developer positions and is provided by Lightcast. This number represents unique job postings from companies looking to hire in the last 30 days as of May 2024.

Courses

In addition to meeting the liberal arts core requirements of the university, computer information systems majors must complete the courses listed below, as well as participate in program assessment activities. For graduation, you must have a minimum of 2.25 GPA in all natural sciences courses counting toward the major.

Required Major Core Courses

Complete the following courses. Alternatives for the following courses: BUS335 or BUS351, MAT202 or MAT201 or MAT204, MAT207 or MAT233, MAT306 or COM306, MAT481 or COM481, MAT482 or COM482.

ACC225

Accounting I

(3.0 s.h)

ACC226

Accounting II

(3.0 s.h)

MAT201

Calculus for Applications

(3.0 s.h)

MAT204

Calculus I

(4.0 s.h)

ACC317

Cost Accounting

(3.0 s.h)

COM318

Database Management Systems

(3.0 s.h)
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Colloquium

Complete two semesters of colloquium; one presentation is required.

NSC300

Science Colloquium

(0.0 s.h)

Elective(s) in Major

Complete one Computer Science course (200 level or above).

COM340

Algorithms

(3.0 s.h)

COM320

Computer Architecture & Digital Logic

(4.0 s.h)

COM395

Internship

(2.0-4.0 s.h)

COM308

Introduction to Data Mining

(3.0 s.h)

COM305

Introduction to Machine Learning

(3.0 s.h)

COM300

Numerical Methods

(3.0 s.h)
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