Computer Science B.S.
Chair: Professor Hutchings
A Bachelor of Science degree with a major in Computer Science requires the completion of the Elon Core Curriculum as well as the Major Requirements listed below.
Major Requirements:
Required courses: 32 sh
Choose one course from the following: 4 sh
| MTH2300 | Mathematical Methods for Data Analytics | 4 sh |
| MTH2310 | Linear Algebra | 4 sh |
| MTH2510 | Calculus II | 4 sh |
| STS2120 | Statistics in Application | 4 sh |
| STS2130 | Survey Sampling Methods | 4 sh |
| STS2300 | Introduction to Data Analytics | 4 sh |
| STS2320 | Statistical Modeling | 4 sh |
| STS2560 | Applied Nonparametric Statistics | 4 sh |
| STS3250 | Design and Analysis of Experiments | 4 sh |
| STS3270 | Statistical Computing for Data Management | 4 sh |
Select one course beyond core math requirement: 4 sh
Probability/Statistics: If core math requirement was MTH 1510, then
| STS1100 | Introduction to Statistical Reasoning | 4 sh |
or a probability and/or statistics course
OR
Quantitative Analysis: If core math requirement was STS 1100, then
Choose four 3000-4000 level CSC elective courses: 16 sh
A maximum total of 4sh of CSC 4985 may count among these electives.
Choose two courses (or course/lab pairings) from the following: 8 sh
| BIO1112 | Introductory Cell Biology | 3 sh |
| BIO1113 | Cell Biology Laboratory | 1 sh |
| BIO2512 | Introductory Population Biology | 3 sh |
| BIO2513 | Population Biology Laboratory | 1 sh |
| CHM1110 | General Chemistry I with Lab | 4 sh |
| CHM1120 | General Chemistry II with Lab | 4 sh |
| PHY2210 | University Physics I | 4 sh |
| PHY2220 | University Physics II | 4 sh |
Total Credit Hours: 64
Program Outcomes
Recognize the need for and the ability to engage in continuing professional development.
Analyze a problem and identify and define the computing requirements appropriate to its solution.
Design, implement and evaluate a computer-based system, process, component or program to meet desired needs.
Apply design and development principles in the construction of software systems of varying complexity.
Apply knowledge of computing and mathematics appropriate to the discipline.
Apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.
Use current technologies, skills and tools necessary for computing practice.
Function effectively on teams to accomplish a common goal.
Communicate effectively with a broad range of audiences.
Articulate professional, ethical, legal, security and social issues and responsibilities.
Analyze the local and global impact of computing on individuals, organizations and society.
Total Credit Hours: 64