BS DATA ANALYTICS CURRICULUM
| Suggested Curriculum | 2019-2020 Academic Year | |||||||||
| FALL SEMESTER | SPRING SEMESTER | |||||||||
| YEAR 1 | ||||||||||
| ECCS 1011 | Python and Problem Solving | 3 | ECCS 2011 | Intro to Data Science | 3 | |||||
| MATH 1631 | Calculus 1 | 4 | STAT 2561 | Statistics for Professionals 2 | 3 | |||||
| STAT 1561 | Statistics for Professionals 1 | 3 | Distribution Requirement | 3 | ||||||
| ENGL 1221 | Writing Seminar | 3 | Distribution Requirement | 3 | ||||||
| TREX 1001 | Transitions Experience | 3 | Distribution Requirement | 3 | ||||||
| 16 | 15 | |||||||||
| YEAR 2 | ||||||||||
| ECCS 2671 | Data Structures and Algorithms 1 | 3 | ECCS 2021 | Machine Learning | 3 | |||||
| STAT 3581 | Statistical Computing with R | 3 | ECCS 3481 | Databases | 3 | |||||
| Subject Area Course | 3 | Subject Area Course | 3 | |||||||
| Diversity Seminar | 3 | PHIL 2401 | Professional Ethics | 3 | ||||||
| Distribution Requirement | 3 | Distribution Requirement | 3 | |||||||
| 15 | 15 | |||||||||
| YEAR 3 | ||||||||||
| ECCS 3021 | Data Mining (every other year) | 3 | STAT 3571 | Statistical Computing with SAS | 3 | |||||
| Subject Area Course | 3 | Distribution Requirement | 3 | |||||||
| Distribution Requirement | 3 | Elective | 3 | |||||||
| Elective | 3 | Elective | 3 | |||||||
| Elective | 3 | Elective | 3 | |||||||
| 15 | 15 | |||||||||
| YEAR 4 | ||||||||||
| ECCS 3031 | Big Data Analytics (every other year) | 3 | DATA 40x1 | 4001 Capstone or 4021 Internship | 3 | |||||
| Elective | 3 | Elective | 3 | |||||||
| Elective | 3 | Elective | 3 | |||||||
| Elective | 3 | Elective | 3 | |||||||
| Elective | 3 | Elective (at least 2 hours) | 2 | |||||||
| 15 | 14 | |||||||||
| This should be used as a guide only. Semester offerings are subject to change. | Required Hours = 120 | |||||||||
| Distribution Requirements for this BS degree - see Degree Works for details | ||||||||||
| • 2 Humanities • 1 Fine Art • 1 Communication Studies • 2 Natural Sciences • 1 Social Science | ||||||||||