Department: | Mathematics & Computer Science / College of Science & Engineering |
Hours Required: | 120 |
Categories: | Major, Undergraduate |
Delivery: | On-Campus |
The Bachelor of Science in Computer Science: Data Science covers knowledge on how to apply analytic techniques and algorithms (including statistical and data mining approaches) to large data sets to find trends and extract meaningful insights.
Learning Goals
- Our graduates communicate effectively.
- Our graduates can make ethical decisions related to the use of technology.
- Our graduates demonstrate the knowledge and principles of computer operating systems, architecture and machine organization to solve problems.
- Our graduates use technology effectively.
- Our graduates demonstrate the knowledge and analytical skills that are required for careers in computer science.
The Bachelor of Science in Computer Science: Data Science covers knowledge on how to apply analytic techniques and algorithms (including statistical and data mining approaches) to large data sets to find trends and extract meaningful insights.
Our goal for our graduates is to be able to apply computational, mathematical, and statistical thinking to data-rich problems in a wide variety of fields to gain deeper insight in a responsible and ethical manner.
University Requirement (2 hours)
GSTD 1002 – Freshman Seminar
General Education (28 hours)
Note: 7 hours of mathematics and physical science requirements are included in the major.
Computer Science (38 hours)
CSCI 2103 – Computer Science I and CSCI 2101 – Computer Science I Lab
CSCI 2113 – Computer Science II and CSCI 2111 – Computer Science II Lab
CSCI 3103 – Data Structures and Algorithms
CSCI 3213 – Computer Networking
CSCI 3233 – Theory of Computation
CSCI 3403 – Artificial Intelligence
CSCI 3703 – Computer Architecture
CSCI 4133 – Operating Systems
CSCI 4143 – Programming Languages and Compilers
CSCI 4153 – Software Engineering
CSCI 4203 – Database Design and Implementation
3 hours of upper-level Computer Science, Data Science, or Mathematics electives
Data Science (20 hours)
DSCI 3003 – Introduction to Data Science
DSCI 4013 – Data Mining and Visualization
DSCI 4023 – Machine Learning
DSCI 4103 – Big Data and Cloud Computing
DSCI 4213 – Privacy, Security, and Ethics
DSCI 4641 – Data Science Internship
DSCI 4922 – Senior Project I
DSCI 4932 – Senior Project II
Mathematics (25 hours)
MATH 1525 – Calculus I or MATH 2125 – Applied Calculus
MATH 1545 – Calculus II
MATH 2033 – Discrete Mathematics
MATH 2563 – Calculus III
MATH 2753 – Linear Algebra
MATH 3043 – Applied Probability and Statistics I
MATH 4533 – Statistical Methods
Physics (4 hours)
Select one of the following course combinations:
PHYS 2003 – College Physics I and PHYS 2001 – College Physics I Lab
or
PHYS 2203 – University Physics I and PHYS 2201 – University Physics I Lab
Other Requirements (3 hours)
ENGL 3023 – Technical Writing