The plan listed below is designed to provide suggestions for sequencing your major courses, but there are also other ways to sequence most majors. This plan is meant to provide aid in early, provisional planning. Please consult with your academic advisor to make strategic academic decisions about which courses to take each semester.
Sample Two Year Plan: Data Science (BS)
The following plan is possible on the presumption that an incoming student has an Associate of Arts (AA) degree and has completed the equivalent to MATH 198 (Calculus I), MATH 263 (Calculus II), CS 180 (Intro to Computer Science I), CS 181 (Intro to Computer Science II), and STAT 190 (Basic Statistics) prior to enrolling at Truman State University.
FALL - Semester 1
- Data 222: Fundamentals of Data Science (3 cr)
- STAT 398: Intermediate Seminar in Statistics and Data Science (1 cr)
- MATH 357: Linear Algebra (3 cr)
- Specialization Block course^: STAT 310: Data Collection & Statistical Communication OR CS 260 Object-Oriented Programming and Design (3 cr)
- STAT 330: Linear Models OR STAT 378: Linear Regression/Time Series OR STAT 331: Biostatistics OR STAT 530: Applied Statistical Methods I (3 cr)
SPRING - Semester 2
- DATA 322: Intermediate Data Science (3 cr)
- DATA 344: WE/Data Ethics (3 cr)
- STAT 250: Statistical Computing (3 cr)
- JINS 3XX: WE/Junior Interdisciplinary Seminar (3 cr)
- Bachelor of Science Required Support
FALL - Semester 3
- STAT 497: Statistics Capstone Experience (2 cr)*
- STAT 498: Senior Seminar in Statistics and Data Science (1 cr)*
- CS 430: Databases (3 cr)
- STAT 370: Probability OR CS 191: Computing Structures OR MATH 347: Discrete Mathematics (3 cr)
- DATA 324: Data Visualization (3 cr)
- Elementary Foreign Language I (3 cr)
SPRING - Semester 4
- DATA 520: Data Mining and Multivariate Statistics
- Specialization Block course^: STAT 392: Statistical Consulting with Practicum OR CS 310: Data Structures and Algorithms (3 cr)
- Bachelor of Science Required Support
- Elementary Foreign Language II (3 cr)
- Major Elective (as needed)
NOTES:
- WE = Writing Enhanced course
- (^) - The Data Science major offers 3 specialization blocks, all of which require at least 6 credits hours of coursework: Intermediate Coding, Data Consulting, or Statistics. Students have the choice to complete one or more of the specialization blocks.
- (*) - STAT 497 and STAT 498 are co-requisites
- The Dialogues curriculum requires a certain number of courses/credit hours in the following Perspectives: Social, Arts and Humanities, STEM, Communications, and Statistics. The exact number of courses a student will be required to take during their undergraduate career varies individually according to the credit transferred in.
Department Chair: Please contact the Center for Academic Excellence (advise@truman.edu) with any updates to the plan above.
This is a sample course sequence to illustrate class offerings for this major. The Office of the Registrar is responsible for certifying completion of degree requirements based on requirements specified in Truman's Official Catalog.