# Applied and Computational Mathematics, Data Analytics Emphasis, BS

## 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

**120 credits**

### Utah Tech General Education Requirements

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

General Education Core Requirements

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

English | 3-7 | |

Mathematics | 3-5 | |

American Institutions | 3-6 | |

Life Sciences | 3-10 | |

Physical Sciences | 3-5 | |

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 |

MATH 1210 | Calculus I (MA) | 4 |

MATH 1220 | Calculus II (MA) | 4 |

MATH 2200 | Discrete Mathematics | 3 |

or CS 2100 | Discrete Structures | |

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 Data Analytics Emphasis Elective Requirements

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

Choose 4 of the following courses: | ||

CS 3005 | Programming in C++ | 3 |

FIN 4380 | Financial Modeling and Decision Making | 3 |

IT 4510 | Ethical Hacking & Network Defense | 3 |

MATH 3100 | Euclidean / Non-Euclidean Geom | 3 |

MATH 3150 | Introduction to Partial Differential Equations | 3 |

MATH 3120 | Transition to Advanced Mathematics | 3 |

MATH 3200 | Introduction to Analysis I | 3 |

MATH 3500 | Numerical Analysis | 3 |

MATH 3900 | Number Theory | 3 |

MATH 3905 | Cryptography and Codes | 3 |

MATH 4000 | Abstract Algebra I | 3 |

MATH 4005 | Quantum Computing and Cryptography | 3 |

MATH 4010 | Abstract Algebra II | 3 |

MATH 4100 | Introduction to Topology | 3 |

MATH 4200 | Introduction to Complex Analysis | 3 |

MATH 4330 | Linear Algebra II | 3 |

MATH 4550 | Scientific Computation | 3 |

MATH 4890R | Independent Research | 1-3 |

MGMT 4040 | Quantitative Decision Analysis | 3 |

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

### Data Analytics Emphasis Requirements

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

COMM 1020 | Public Speaking | 3 |

MATH 2050 | Applied Statistics with Programming | 3 |

MATH 3050 | Stochastic Modeling and Applications | 3 |

MATH 3450 | Statistical Inference | 3 |

ISA 2010 | Proficiency in Excel & SQL | 3 |

ISA 3020 | SQL & Python for Analytics | 3 |

ISA 4060 | Big Data Analytics | 3 |

ISA 4070 | Data Visualization and Storytelling | 3 |

IT 1100 | Introduction to Unix/Linux | 3 |

IT 2300 | Database Design & Management | 3 |

IT 2400 | Intro to Networking | 3 |

IT 4310 | Database Administration | 3 |

## Graduation Requirements

- Complete a minimum of 120 college-level credits (1000 and above).
- Complete at least 40 upper-division credits (3000 and above).
- Complete at least 30 upper-division credits at Utah Tech for institutional residency
- Grade C or higher (not C-) required in each Core Discipline Requirement, Mathematics Required Elective, and Mathematics Program Requirement course.