Mathematics and Data Science (BS)

Program Educational Goals

Students who successfully complete the Data Sciences BS program will be able to:

Demonstrate and apply foundational knowledge in mathematics and computation.
Interpret quantitative results in the context of application domains.
Apply current technological tools to assimilate data, perform analysis, and express results.
Communicate results to quantitative specialists and wider audiences.
Demonstrate an ability to apply mathematics to real world situations.

Four Year Plan

Please refer to the Four-Year Plan for departmental recommended path toward graduation.

University Requirements:

ENGL 110 - First-Year Writing (C- minimum)
First Year Seminar (FYS) (0-4 credits)
Discovery Learning Experience (DLE) (three credits)
Multicultural Requirement (three credits)
University Breadth Requirements (C- minimum):
- Creative Arts and Humanities (three credits)
- History and Cultural Change (three credits)
- Social and Behavioral Sciences (three credits)
- Mathematics, Natural Sciences, and Technology (three credits)
Capstone Experience

College Requirements:

Second Writing Requirement:

A Second Writing Requirement approved by the College of Arts and Sciences. This course must be taken after completion of 60 credit hours, completed with a minimum grade of C-, and the section enrolled must be designated as satisfying the requirement in the academic term completed.

Chosen from the following:

ENGL 312 - Written Communications in Business Credit(s): 3
or
ENGL 410 - Technical Writing Credit(s): 3
or
MATH 419 - Data Science II Credit(s): 3

College of Arts and Sciences Breadth Requirements:

The College Breadth Requirements are taken in addition to the University Breadth Requirement. Up to three credits from each of the University Breadth Requirement categories may be used to simultaneously satisfy these College of Arts and Sciences Breadth Requirements. College Breadth courses must be completed with a minimum grade of C-.

A total of 18 credits from Groups A, B, and C is required with a minimum of six credits in each group. The six credits from each group could be from the same area.

Group A: Creative Arts and Humanities
Group B: History and Cultural Change
Group C: Social and Behavioral Sciences

Major Requirements

A grade of C- or better is required for major courses and related work.

Students lacking adequate preparation for MATH 242 should begin with MATH 241.

CISC 106 - General Computer Science for Engineers Credit(s): 3
CISC 210 - Introduction to Systems Programming Credit(s): 3
CISC 220 - Data Structures Credit(s): 3
CISC 320 - Introduction to Algorithms Credit(s): 3
CISC 437 - Database Systems Credit(s): 3
MATH 210 - Discrete Mathematics I Credit(s): 3
MATH 219 - Data Science I Credit(s): 3
MATH 242 - Analytic Geometry and Calculus B Credit(s): 4
MATH 243 - Analytic Geometry and Calculus C Credit(s): 4
MATH 315 - Discrete Mathematics II Credit(s): 3
MATH 349 - Elementary Linear Algebra Credit(s): 3
MATH 350 - Probability Theory and Simulation Methods Credit(s): 3
MATH 419 - Data Science II Credit(s): 3
MATH 426 - Computational Mathematics I Credit(s): 3
MATH 428 - Computational Mathematics II Credit(s): 3
MATH 450 - Mathematical Statistics Credit(s): 3
MATH 529 - Fundamentals of Optimization Credits / Units: 3

Ethics:

One of the following:

CISC 355 - Computers, Ethics and Society Credit(s): 3
PHIL 203 - Ethics Credit(s): 3
PHIL 455 - Ethics in Data Science and Artificial Intelligence Credit(s): 3

Lab Science:

9 credits from

MATH 400-level or higher,
CISC 400-level or higher, or
STAT 600-level or higher.

Electives

After required courses are completed, sufficient elective credits must be taken to meet the minimum credit requirement for the degree.