Data Science
Major and minor offered under the auspices of the mathematics, computer science, and statistics department.
Visit the department webpage at www.stlawu.edu/math-computer-science-and-statistics.
Major Requirements
Foundational Courses
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MATH 135. Calculus I.
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MATH 136. Calculus II.
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CS 140. Introduction to Computer Programming.
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CS 219. Techniques of Computer Science.
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STAT 113. Applied Statistics.
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STAT 213. Applied Regression Analysis.
Core Courses
MATH 217. Linear Algebra.
CS 256. Data Structures.
CS 345. Database Systems.
DATA 234. Foundations of Data Science.
DATA 352. Statistical and Machine Learning.
Electives
Choose three, at least one from Group 1.
Group 1 (technical electives)
MATH 205. Multivariable Calculus.
MATH 230. Differential Equations.
MATH 318. Graph Theory.
CS 332. Web Programming.
CS 340. Software Engineering.
CS 362. Algorithm Analysis.
CS 374. Artificial Intelligence.
STAT 226. Statistical Methods of Data Collection.
STAT 325. Probability.
STAT 326. Mathematical Statistics.
STAT 343. Time Series Analysis.
Group 2 (applied electives).
BIOL 303. Biostatistics.
CHEM 205. Quantitative Analysis.
CHEM 342. Thermodynamics and Kinetics.
ECON 342. Econometrics.
GEOL 233. Geographic Information Systems.
GEOL 319. Hydrology and Hydrogeology.
GEOL 333. Advanced Geographic Information Systems.
GEOL 362. Geochemistry.
ENVS 323. Environmental Epidemiology.
ENVS 383. Energy Life Cycle Analysis.
PCA 365. The Rhetoric of Algorithms.
PHYS 221. Modern Physics I.
PHYS 222. Modern Physics II.
PSYC 205. Research Methods in Psychology.
PSYC 401. Fundamentals of Learning.
SOC 301. Quantitative Research Methods.
Capstone Experience (SYE)
Choose One:
DATA 450: Applied Data Science Seminar
DATA 489/498: Independent/Honors SYE
A summer fellowship approved by the department chair
An internship approved by the department chair
Honors
Honors work in data science provides the student with an opportunity for more independent and creative work. A minimum GPA of 3.5 in the major is required to receive honors in data science. In addition, each student applying for honors must complete a departmentally approved capstone. Interested students should consult the department chair.
Notes
Students considering graduate work in Data Science or Statistics are strongly encouraged to take Math 205 and Stat 325.
Students planning to participate in an off-campus program should seek early advice from the department on the best way to plan their major program.
A worksheet for a stand-alone data science major can be found on the department webpages at www.stlawu.edu/math-computer-science-and-statistics. Furthermore, there are some restrictions on combinations of majors and minors within the department. Information on this can also be found on the department webpages.
Minor Requirements
The requirements for a minor in data science are seven units, including six foundational courses and one elective.
Foundational Courses
CS 140. Introduction to Computer Programming.
CS 219. Techniques of Computer Science.
CS 256. Data Structures.
STAT 113. Applied Statistics
STAT 213. Applied Regression Analysis or ECON 342. Econometrics.
DATA 234. Foundations of Data Science.
Elective Courses
The following courses are pre-approved as electives. Other courses not listed here may count as electives if approved by the department chair.
CS 332. Web Programming.
CS 340. Software Engineering.
CS 345. Database Systems.
CS 362. Algorithm Analysis.
CS 374. Artificial Intelligence.
MATH 205. Multivariable Calculus.
MATH 217. Linear Algebra.
MATH 230. Differential Equations.
MATH 318. Graph Theory.
STAT 226. Statistical Methods of Data Collection.
STAT 325. Probability.
STAT 326. Mathematical Statistics.
STAT 343. Time Series Analysis.
Major/Minor Restrictions
Students majoring or minoring in Computer Science or Statistics may not also minor in Data Science. Students majoring or minoring in Mathematics may minor in Data Science, but at most two courses may count simultaneously towards both programs.