Data Science, B.S.

Curriculum Worksheet (opens a new window) |

Data Science

Freshman

Fall Semester

M 171 - Calculus I 3 credits
CSCI 135 - Fundamentals Of Computer Science I 3 credits
Social Science Elective 3 credits**
WRIT 121 - Introduction To Technical Writing 3 credits
Science Elective 3 credits*

Total: 15

Spring Semester

M 172 - Calculus II 3 credits
CSCI 136 - Fundamentals Of Computer Science II 3 credits
Science Elective 4 credits*
Humanities Elective 3 credits
COMX 111 - Introduction to Public Speaking 3 credits
-OR-
COMX 211 - Advanced Public Speaking 3 credits
-OR-
COMX 230 - Presenting Technical Information 3 credits

Total: 16

Sophomore

Fall Semester

M 273 - Multivariable Calculus 4 credits
CSCI 232 - Data Structures and Algorithms 3 credits
CSCI 246 - Discrete Structures 3 credits
BMIS 375 - Data Analytics 3 credits
STAT 332 - Statistics for Scientists and Engineers 3 credits

Total: 16

Spring Semester

M 274 - Introduction to Differential Equation 3 credits
CSCI 347 - Data Mining 3 credits
M 333 - Matrices & Linear Algebra 3 credits
CSCI 332 - Design & Analysis of Algorithms 3 credits
Free Elective 3 credits***

Total: 15

Junior

Fall Semester

STAT 421 - Probability Theory 3 credits
ESOF 322 - Software Engineering 3 credits
ECNS 203 - Principles of Micro and Macro 3 credits
Free Elective 3 credits***
Humanities Elective 3 credits

Total: 15

Spring Semester

STAT 422 - Mathematical Statistics 3 credits
STAT 432 - Regression and Model Building 3 credits
STAT 456 - Bayesian Statistical Inference 3 credits
CSCI 444 - Data Visualization 3 credits
Free Elective 3 credits***

Total: 15

Senior

Fall Semester

STAT 441 - Experimental Design 3 credits
STAT 453 - Statistical Learning & Data Science I 3 credits
CSCI 446 - Artificial Intelligence 3 credits
Free Elective 3 credits ***
WRIT 321W - Advanced Technical Writing 3 credits
-OR-
WRIT 325W - Writing in the Sciences 3 credits
-OR-
WRIT 322W - Advanced Business Writing 3 credits

Total: 15

Spring Semester

STAT 435 - Statistical Computing & Exploratory Data Analysis 3 credits
STAT 454 - Statistical Learning & Data Science II 3 credits
CSCI 447 - Machine Learning 3 credits
STAT 499W - Capstone: Data Science Project 1-4 credits (4 credits required)
-OR-
CSCI 499W - Capstone: Data Science Project 4 credits (4 credits required)

Total: 13

Minimum credits for a B.S. degree in Data Science: 120

* Science Electives must include at least one semester of laboratory science, either (1) BIOB 101/102, 160/161, BIOO 235, or BIOH 201/202; (2) CHMY 121 with lab or CHMY 141 with lab 142; (3) GEO 101 with lab, GEOE 104, or GEO 209; or (4) PHSX 234 and PHSX 235 with lab 236.

** If student has no programming background, CSCI 102 is recommended as a Social Science elective.

*** Recommended electives include M 410 Numerical Computing, M 426 Mathematical Modeling, CSCI 477 Computer Simulation and Modeling, or BMIS 491 Business Intelligence & Analytics.

The sequence STAT 421-422 and the courses STAT 432 & STAT 435 are offered on alternate years.