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 Four Year Plan: Data Science (BS)
The following plan is possible on the presumption that an incoming student begins at the MATH 186 (Precalculus) level upon enrolling at Truman State University.
FALL - Semester 1
- TRU 120: First Year Seminar (3 cr)
- MATH 186: Precalculus (4 cr)
- STAT 190: Basic Statistics (3 cr)
- CS 180: Intro to Computer Science I (4 cr)
SPRING - Semester 2
- STAT 101: New Majors Seminar (1 cr)
- CS 181: Intro to Computer Science II (3 cr)
- ENG 190: Writing as Critical Thinking (3 cr)
- MATH 198: Analytic Geometry and Calculus I (5 cr)
- DATA 222: Fundamentals of Data Science (3 cr)
FALL - Semester 3
- MATH 263: Analytic Geometry and Calculus II (4 cr)
- COMM 170: Public Speaking (3 cr)
- STAT 330: Linear Models (3 cr)
- Elementary Foreign Language I (3 cr)
- Dialogues Curriculum coursework
SPRING - Semester 4
- STAT 250: Statistical Computing (3 cr)
- DATA 344: WE/Data Ethics (3 cr)
- DATA 322: Intermediate Data Science (3 cr)
- MATH 357: Linear Algebra (3 cr)
- Elementary Foreign Language I (3 cr)
FALL - Semester 5
- STAT 398: Intermediate Seminar in Statistics and Data Science (1 cr)
- STAT 370: Probability OR CS 191: Computing Structures OR MATH 347: Discrete Mathematics (3 cr)
- DATA 324: Data Visualization (3 cr)
- Specialization Block course^: STAT 310: Data Collection & Statistical Communication (3 cr) OR CS 260: Object-Oriented Programming and Design (3 cr)
- Dialogues Curriculum coursework
- Major Electives (as needed)
SPRING - Semester 6
- DATA 520: Data Mining and Multivariate Statistics (3 cr)
- Specialization Block course^: STAT 392: Statistical Consulting with Practicum (3 cr) OR CS 310: Data Structures and Algorithms (3 cr)
- JINS 3XX: WE/Junior Interdisciplinary Seminar (3 cr)
- Dialogues Curriculum coursework
FALL - Semester 7
- STAT 497: Statistics Capstone Experience* (2 cr)
- STAT 498: Senior Seminar in Statistics and Data Science* (1 cr)
- CS 430: Databases (3 cr)
- Bachelor of Science Required Support (3 cr)
- Dialogues Curriculum coursework
- Major Electives (as needed)
SPRING - Semester 8
- Bachelor of Science Required Support (3 cr)
- Dialogues Curriculum coursework
- Major electives (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.