#### Program Description

#### Program Requirements

#### Graduation Requirements

## Program Description

The Bachelor of Science Degree in Applied and Computational Mathematics (ACM) provides students with a new reason to major in mathematical sciences by emphasizing applied mathematics and mathematical modeling. Students will learn to apply mathematics to real world problems arising in various settings, as they master new mathematical techniques. ACM students will have the option to specialize in a desired field through emphases in Actuarial Science, Data Analytics, or Scientific Computing. The Data Analytics emphasis will provide an interdisciplinary approach by collaborating with programs in Mathematics, Computer Science, Statistics, Business, and Data Analytics. Students will develop the knowledge and skills necessary for a broad array of employment opportunities in the growing and evolving field of Data Analytics, including those within corporations, service industries, government agencies, political organizations, consulting firms, nonprofit organizations, marketing and advertising agencies, and media companies.

## Program Curriculum

#### 122 credits

### DSU General Education Requirements

All DSU General Education requirements must be fulfilled. A previously earned degree may fulfill those requirements, but courses must be equivalent to DSU’s minimum General Education standards in American Institutions, English, and Mathematics.

Code | Title | Hours |
---|---|---|

General Education Core Requirements | ||

English | 3-7 | |

Mathematics | 3-5 | |

American Institutions | 3-6 | |

Life Sciences | 3-10 | |

Physical Sciences | 3-5 | |

Laboratory Science | 0-1 | |

Fine Arts | 3 | |

Literature/Humanities | 3 | |

Social & Behavioral Sciences | 3 | |

Exploration | 3-5 |

### Applied and Computational Mathematics Core Requirements

Code | Title | Hours |
---|---|---|

CS 1400 | Fundamentals of Programming | 3 |

CS 1410 | Object Oriented Programming | 3 |

CS 2420 | Introduction to Algorithms and Data Structures | 3 |

MATH 1210 | Calculus I (MA) | 4 |

MATH 1220 | Calculus II (MA) | 4 |

MATH 2200 | Discrete Mathematics | 3 |

or CS 3310 | Discrete Mathematics | |

MATH 2210 | Multivariable Calculus (MA) | 4 |

MATH 2270 | Linear Algebra | 3 |

MATH 2280 | Ordinary Differential Equations | 3 |

MATH 3400 | Probability & Statistics | 3 |

MATH 3700 | Mathematical Modeling I | 4 |

MATH 4250 | Programming for Scientific Computation | 4 |

MATH 4800 | Industrial Careers in Mathematics | 3 |

MATH 4890R | Independent Research | 1 |

MATH 4900 | Senior Capstone Seminar (ALUR) | 3 |

### Applied and Computational Mathematics Elective Requirements

Code | Title | Hours |
---|---|---|

Choose 4 of the following courses: | ||

ECON 3010 | Managerial Economics | 3 |

ECON 3020 | Intermediate Macroeconomics | 3 |

FIN 4380 | Financial Modeling and Decision Making | 3 |

MATH 3200 | Introduction to Analysis I | 3 |

MATH 4200 | Introduction to Complex Analysis | 3 |

MECH 3700 | Thermofluids: Fluid Mechanics | 4 |

MGMT 4040 | Quantitative Decision Analysis | 3 |

PEHR 3800 | Measurement & Evaluation in Physical Exercise & Sports | 3 |

PHYS 3710 | Intermediate Modern Physics | 3 |

PHYS 3400 | Classical Mechanics | 3 |

### Data Analytics Emphasis Requirements

Code | Title | Hours |
---|---|---|

CIS 2010 | Business Computer Proficiency | 3 |

COMM 1020 | Public Speaking | 3 |

CS 4307 | Database Design & Management | 3 |

or IT 4300 | Database Design & Management | |

ISA 3020 | Structured Query Language for Business Users | 1 |

ISA 4060 | Big Data Analytics | 3 |

ISA 4070 | Big Data Visualization | 3 |

IT 1100 | Introduction to Unix/Linux | 3 |

IT 2400 | Intro to Networking | 3 |

IT 4310 | Database Administration | 3 |

MATH 3450 | Statistical Inference | 3 |

MATH 2050 | Applied Statistics with Programming | 3 |

### Graduation Requirements

- Complete a minimum of 122 college-level credits (1000 and above).
- Complete at least 40 upper-division credits (3000 and above).
- Complete at least 30 upper-division credits at DSU for institutional residency
- Grade C or higher (not C-) required in each Core Discipline Requirement, Mathematics Required Elective, and Mathematics Program Requirement course.

1st Year | ||
---|---|---|

Fall Semester | Hours | |

MATH 1210 | Calculus I (MA) | 4 |

ENGL 1010 | Introduction to Writing (EN) | 3 |

General Education (Fine Arts) | 3 | |

General Education (Physical Science / Lab) | 4 | |

Hours | 14 | |

Spring Semester | ||

MATH 1220 | Calculus II (MA) | 4 |

MATH 2270 | Linear Algebra | 3 |

CS 1400 | Fundamentals of Programming | 3 |

ENGL 2010 | Interm Writing Selected Topics: (EN) | 3 |

General Education (Literature & Humanities) | 3 | |

Hours | 16 | |

2nd Year | ||

Fall Semester | ||

MATH 2210 | Multivariable Calculus (MA) | 4 |

MATH 2200 or CS 3310 |
Discrete Mathematics or Discrete Mathematics |
3 |

IT 1100 | Introduction to Unix/Linux | 3 |

CS 1410 | Object Oriented Programming | 3 |

MATH 2050 | Applied Statistics with Programming | 3 |

Hours | 16 | |

Spring Semester | ||

MATH 2280 | Ordinary Differential Equations | 3 |

IT 2400 | Intro to Networking | 3 |

CS 2420 | Introduction to Algorithms and Data Structures | 3 |

CIS 2010 | Business Computer Proficiency | 3 |

General Education (GE Social & Behavioral Sciences) | 3 | |

Hours | 15 | |

3rd Year | ||

Fall Semester | ||

MATH 3400 | Probability & Statistics | 3 |

ISA 4060 | Big Data Analytics | 3 |

CS 4307 or IT 4300 |
Database Design & Management or Database Design & Management |
3 |

MATH 3700 | Mathematical Modeling I | 4 |

ISA 3020 | Structured Query Language for Business Users | 1 |

COMM 1020 | Public Speaking | 3 |

Hours | 17 | |

Spring Semester | ||

MATH 4250 | Programming for Scientific Computation | 4 |

ISA 4070 | Big Data Visualization | 3 |

IT 4310 | Database Administration | 3 |

MATH 4890R | Independent Research | 1 |

General Education (American Institutions) | 3 | |

Hours | 14 | |

4th Year | ||

Fall Semester | ||

MATH 3450 | Statistical Inference | 3 |

MATH 4800 | Industrial Careers in Mathematics | 3 |

Program Elective 1 | 3 | |

Program Elective 2 | 3 | |

General Education (Exploration) | 3 | |

Hours | 15 | |

Spring Semester | ||

MATH 4900 | Senior Capstone Seminar (ALUR) | 3 |

Program Elective 3 | 3 | |

Program Elective 4 | 3 | |

Elective | 3 | |

General Education (Life Sciences) | 3 | |

Hours | 15 | |

Total Hours | 122 |

### Applied and Computational Mathematics Program Learning Outcomes

At the successful conclusion of this program, students will be able to:

- Integrate mathematical techniques in solving computational problems.
- Design mathematical models to solve real-world problems.
- Communicate in mathematical language through the use of accurate notation and terminology.
- Formulate and analyze mathematical concepts using technology as appropriate.
- Author effective communication in a variety of formats for a range of audiences.