Data Analytics Major
Data Analytics Major
DEGREE PROGRAM CHECK SHEET
Complete all Institutional Graduation Requirements (Including University Writing Requirement, Diversity Requirement, General Education Requirement, etc.) as provided at http://www.eou.edu/registrar.
Program Requirements: Data Analytics is a minimum 76-77 credit hour degree. A grade of “C-” or better is required for each course counting towards the major, but a cumulative GPA of at least a 2.00 is required for completion of the major.
REQUIRED CORE MATHEMATICS/STATISTICS COURSES: 24-25 credit hours
| Course Number | Course Title | Credits | Prerequisites |
|---|---|---|---|
| MATH 231 | Discrete Mathematics | 4 | MATH 111 |
| STAT 243 | Elementary Statistics [SMI] Online students complete STAT 243A/243B in lieu of STAT 243 | 4 | MATH 095 or MATH 095A & 095B or MATH 098 |
| MATH 251 | Calculus I [SMI] Online students complete MATH 251A/251B in lieu of MATH 251 | 4 | MATH 112 |
| MATH 252 | Calculus II [SMI] | 4 | MATH 251 |
| MATH 341 | Linear Algebra | 4 | MATH 252 |
Choose one of the following required courses:
| STAT 327 | Stat/Experimental Design [SMI] | 5 | MATH 105 or 111 |
| STAT 352 | Statistics | 4 | MATH 111 & STAT 243 |
REQUIRED CORE COMPUTER SCIENCE COURSES: 24 credits
| Course Number | Course Title | Credits | Prerequisites |
|---|---|---|---|
| CS 161 | Foundations of CS I Online students complete CS 161A/161B in lieu of CS 161 | 4 | |
| CS 162 | Foundations of CS II | 4 | MATH 111, CS 161 |
| CS 221 | C/C++ Programming | 4 | CS 162 |
| CS 260 | Data Structures [UWR] | 4 | CS 162 |
| CS 318 | Algorithm Analysis | 4 | CS 260, MATH 231 |
| CS 330 | Database Management Systems Online students complete CS 330A/330B in lieu of CS 330 | 4 | CS 260 |
REQUIRED DATA ANALYTICS COURSES: 28 credits
| Course Number | Course Title | Credits | Prerequisites |
|---|---|---|---|
| GEOG 201 | Introduction to GIS [SMI] | 4 | |
| DAT 315 | Data Science Methods | 4 | CS 162 and STAT 327/352 |
| DAT 318 | Big Data Systems and Analytics | 4 | CS 330 & DAT 315 |
| STAT 435 | Statistical Computing | 4 | MATH 252 and STAT 327/352 |
| STAT 457 | Advanced Statistical Methods [UWR] | 4 | MATH 341 and STAT 327/352 |
| DAT 407 | Capstone Seminar/Project [UWR] | 4 | |
| DAT 434 | Machine Learning | 4 | CS 260 & STAT 457 |
Total credits required for major: 76-77
EPCC update January 2021