Required courses:
CSC 120
CSC 121
CSC 241
CSC 242
CSC 351
CSC 362
CSC 499
MAS 111 Analysis I
| A calculus sequence for department majors and other students desiring a rigorous introduction to elementary calculus. Fulfills requirement: Quantitative Reasoning. Prerequisite: MAS 102 at LVC, or satisfactory score on the
math readiness test. This test is administered during New
Student Advising Days for incoming students or can be taken
by arrangement with the math department (717-867-6080)
Co-requisite: MAS 113. 4 credits. |
| Second semester of a calculus sequence for department majors and other students desiring a rigorous introduction to elementary calculus. Fulfills requirement: Quantitative Reasoning. Prerequisite: MAS 111; Corequisite: MAS 114. 4 credits. |
| An introduction to college mathematics for potential mathematical science majors. Corequisite: MAS 111. 1 credit. |
| Second semester. Introduction to college mathematics for potential mathematical science majors. Corequisite: MAS 112. 1 credit. |
| An introduction to linear algebra including systems of equations, vectors spaces and linear transformations. Prerequisites: MAS 112 or MAS 261. 3 credits. |
| A more advanced version of MAS 170 intended for students with some calculus background. Fulfills requirement: Quantitative Reasoning. Prerequisite: MAS 111 or MAS 161. 3 credits. |
:
MAS 372 Statistical Modeling| Study of various modeling techniques including regression, decision trees, unsupervised learning, and time series methods with implementation in the computer language R. The course also provides an introduction to generalized linear models and generalized additive models. MAS 372 covers the material on SOA exam SRM - Statistics for Risk Modeling. Prerequisite: MAS 270 or MAS 371. 3 credits. |
Any CSC course at the 300 level or above, not already taken.
or
Take the following to complete the Data Science concentration:
DSC 340
DSC 350
MAS 372 Statistical Modeling| Study of various modeling techniques including regression, decision trees, unsupervised learning, and time series methods with implementation in the computer language R. The course also provides an introduction to generalized linear models and generalized additive models. MAS 372 covers the material on SOA exam SRM - Statistics for Risk Modeling. Prerequisite: MAS 270 or MAS 371. 3 credits. |