| Department: | Department of Mathematics and Computer Sciences / College of Science and Engineering |
| Hours Required: | 120 |
| Categories: | Major, Undergraduate |
| Delivery: | On-Campus |
The Bachelor of Science in Mathematics: Data Science Option 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.
Goal: Our graduates will 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.
Careers
A degree in mathematics opens the door for a variety of career options or graduate school programs. Career options might include actuary, statistician, industrial mathematician, applied mathematician, or mathematics educator.
About SAU Mathematics
The Department of Mathematics and Computer Science offers undergraduate and graduate degrees. We offer a wide variety of courses at the undergraduate and graduate levels. Such courses are designed to meet the needs of general education and to serve the needs of other majors.
Learning Goals
- Our graduates communicate effectively.
- Our graduates make ethical decisions related to the use of mathematics.
- Our graduates use technology effectively.
- Our graduates demonstrate the mathematics knowledge and analytical skills that are required for careers in the field of mathematics.
The Bachelor of Science degree in mathematics requires a total of 120 hours. A few of the courses in this program include the following:
- Calculus (I-III)
- Linear Algebra
- Differential Equations
- Principles of Analysis
- Higher Order Thinking in Mathematics
- Abstract Algebra
The Bachelor of Science in Mathematics: Data Science Option 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.
Goal: Our graduates will 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.
Mathematics (49 hours)
MATH 1525 – Calculus I
MATH 1545 – Calculus II
MATH 2033 – Discrete Mathematics
MATH 2563 – Calculus III
MATH 2753 – Linear Algebra
MATH 3033 – Differential Equations
MATH 3043 – Applied Probability and Statistics I
MATH 3063 – Abstract Algebra
MATH 3083 – Principles of Analysis
MATH 3143 – Applied Probability and Statistics II
MATH 4003 – College Geometry
MATH 4033 – Introduction to Complex Variables
MATH 4043 – Numerical Analysis
MATH 4533 – Statistical Methods
Select 3 hours from the following:
MATH 4023 – Point-Set Topology
MATH 4123 – History of Mathematics
MATH 4613 – Special Topics in Mathematics
Computer Science (14 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 4203 – Database Design and Implementation
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
Physical Science (4 hours)
Select one of the following course combinations:
CHEM 1023 – University Chemistry I and CHEM 1021 – University Chemistry I Lab
or
PHYS 2203 – University Physics I and PHYS 2201 – University Physics I Lab
Other Requirements (3 hours)
ENGL 3023 – Technical Writing
