Data Science Bachelor of Science
This 120-credit B.S. in Data Science at Montana State University includes coursework from Computer Science, Statistics, Mathematics, Business, English and the MSU Library. Data Science is an interdisciplinary field that extracts knowledge and insights from diverse data. The major is administered by MSU’s School of Computing in close collaboration with the Department of Mathematical Sciences.
| Freshman Year | Credits | |
|---|---|---|
| Fall | Spring | |
| CSCI 127 - Joy and Beauty of Data | 4 | |
| M 171Q - Calculus I | 4 | |
| WRIT 101W - College Writing I | 3 | |
| University Core (IS or RS) | 3 | |
| CSCI 132 - Basic Data Structures and Algorithms | 4 | |
| M 172 - Calculus II | 4 | |
| University Core (IN or RN) | 3 | |
| University Core (US) | 3 | |
| Year Total: | 14 | 14 |
| Sophomore Year | Credits | |
| Fall | Spring | |
| BMIS 211 - Data Analytics I | 3 | |
| CSCI 232 - Data Structures and Algorithms | 4 | |
| M 273 - Multivariable Calculus | 4 | |
| STAT 216Q - Introduction to Statistics | 3 | |
| WRIT 221 - Intermediate Tech Writing | 3 | |
| BMIS 311 - Management Information Systems | 3 | |
| CSCI 246 - Discrete Structures | 3 | |
| M 221 - Introduction to Linear Algebra | 3 | |
| University Core (CS) | 3 | |
| STAT 337 - Intermediate Statistics with Introduction to Statistical Computing | 3 | |
| Year Total: | 17 | 15 |
| Junior Year | Credits | |
| Fall | Spring | |
| CSCI 440 - Database Systems | 3 | |
| STAT 411 - Methods for Data Analysis I | 3 | |
| Data Science Elective | 3 | |
| University Core (D) | 3 | |
| Free Elective | 3 | |
| CSCI 347 - Data Mining | 3 | |
| LSCI 470 - Ethics and Privacy in the Age of Big Data | 3 | |
| STAT 412 - Methods for Data Analysis II | 3 | |
| Data Science Elective | 3 | |
| Free Elective | 3 | |
| Year Total: | 15 | 15 |
| Senior Year | Credits | |
| Fall | Spring | |
| CSCI 447 - Machine Learning | 3 | |
| Data Science Elective | 3 | |
| University Core (IH or RH) | 3 | |
| Free Elective | 3 | |
| Free Elective | 3 | |
| Data Science Capstone (to be developed) | 3 | |
| Data Science Elective | 3 | |
| University Core (IA or RA) | 3 | |
| Free Elective | 3 | |
| Free Elective | 3 | |
| Year Total: | 15 | 15 |
| Total Program Credits: | 120 | |
A minimum of 120 credits is required for graduation; 42 of these credits must be in courses numbered 300 and above. Note: The BMIS pre-requisite of ACTG 201 will be waived for Data Science majors.
Data Science Electives
| BMGT 405 | Supply Chain Analytics | 3 |
| BMGT 475R | Management Research Experience | 3 |
| CSCI 432 | Advanced Algorithm Topics | 3 |
| CSCI 446 | Artificial Intelligence | 3 |
| CSCI 451 | Computational Biology | 3 |
| ECNS 403R | Intro to Econometrics | 3 |
| EFIN 301 | Engineering & Economic Financial Management I | 3 |
| EFIN 305 | R Lab for Financial Engineering I | 1 |
| EFIN 401 | Engineering & Economic Financial Management II | 3 |
| EFIN 405 | R Lab Class II | 1 |
| ESOF 322 | Software Engineering | 3 |
| LSCI 342 | Data Curation for a Data-Driven World | 3 |
| LSCI 437 | Social Media Practices | 3 |
| M 274 | Introduction to Differential Equation | 4 |
| M 348 | Techniques of Applied Math I | 3 |
| M 349 | Techniques of Applied Mathematics II | 3 |
| M 386R | Software Applications in Mathematics | 3 |
| M 430 | Mathematical Biology | 3 |
| M 441 | Numerical Linear Algebra & Optimization | 3 |
| M 442 | Numerical Solution of Differential Equations | 3 |
| STAT 408 | Statistical Computing and Graphical Analysis | 3 |
| STAT 425 | Biostatistical Data Analysis | 3 |
| STAT 439 | Introduction to Categorical Data Analysis | 3 |
| STAT 441 | Experimental Design | 3 |
| STAT 446 | Sampling | 3 |
| Other upper division data intensive courses, if pre-approved, can be used | ||