Data Science B.S.

Degree Overview

This program offers a multidisciplinary experience designed to prepare students for advanced study and careers in data science. Combining mathematics, computer science, and statistics, the program builds a robust skill set, enabling students to explore and visualize data, as well as understand and develop models that support data-driven decision-making.

Student Learning Outcomes

  1. Students will apply algorithmic and mathematical reasoning to a variety of computational problems including those problems requiring mathematical proofs.
  2. Students will gain the ability to work and analyze large datasets efficiently using a variety of techniques used in research and industry.
  3. Students will demonstrate problem-solving skills, especially those required to analyze, design and implement solutions involving mathematics and computer science.
  4. Students will show the ability to engage in statistical reasoning, including the capacity to produce and interpret statistical information.
  5. Students will be able to organize, connect and communicate effectively (both oral and written) with a variety of audiences.
  6. Students will demonstrate the ability to use and adapt technological tools used in data science.

Outcomes

Individuals with a degree in data science have numerous career paths. They can work as data analysts, data scientists, business intelligence analysts, machine learning engineers or data engineers. With strong analytical skills, they're sought after in finance, healthcare, e-commerce and technology industries, playing pivotal roles in data-driven decision-making and innovation.

Career Outlook

  • Average Salary: $74,778
  • Job Postings: 3,390

Average salary is based on a 2024 NACE Salary Survey. Job posting data is for data scientist 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

Required Major Core Courses

Complete the following courses. Alternatives for the following courses: COM306 or MAT306, COM340 or MAT308, COM481 or MAT481, COM482 or MAT482, BIO100 or PHY201 or CHE111.

COM340

Algorithms

(3.0 s.h)

MAT204

Calculus I

(4.0 s.h)

MAT205

Calculus II

(4.0 s.h)

MAT310

Calculus III

(4.0 s.h)

COM318

Database Management Systems

(3.0 s.h)

BIO100

General Biology

(4.0 s.h)
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Colloquium

Complete two semesters of colloquium; one presentation required.

NSC300

Science Colloquium

(1.0 s.h)

Elective(s) in Major

Complete two elective courses in mathematics or computer science (200-level or higher).

MAT305

Abstract Algebra

(3.0 s.h)

MAT201

Calculus for Applications

(3.0 s.h)

COM320

Computer Architecture & Digital Logic

(4.0 s.h)

MAT311

Differential Equations

(3.0 s.h)

MAT202

Finite Math

(3.0 s.h)

MAT303

Foundations of Geometry

(3.0 s.h)
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