CMSC - Computer Science Major (BS)
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Program Title
Program Type
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Program Description
Effective: Fall 2019, Fall 2022, Fall 2023
Computer science is centered around the practice of problem solving using technology. Rooted in the natural sciences and mathematics, it relates to many aspects of the social sciences (e.g., social network analysis, human-computer interaction, etc.), the arts (e.g., interaction design) and the humanities (e.g., media studies).
Drew’s computer science program is designed to stimulate critical thinking, problem solving, and creativity, together with effective communication skills that prepare students for academic and professional achievement. Computer science students at Drew learn by doing. In many courses, students and instructors explore core computing topics through projects, often for real customers. To date, these projects have resulted in many completed software applications installed and in use at our partner sites. Other opportunities for real-world learning include a variety of internships and collaborative research projects with our faculty and other students.
Requisites
Requirements for the Major (52 credits)
I. Foundation (4 credits)
Complete the following course:
course - Introduction to Computer Science in Python
II. Core (32 credits)
Complete all of the following:
course - Object Oriented Programming in Java
course - Data Structures
course - Computer Systems & Architecture
course - Software Engineering
course - Algorithm Analysis and Computability
course - Computer Science Capstone
course - Introduction to Statistics
course - Discrete Mathematics
III. Electives: Four Courses from the Following List (16 credits)
Regularly offered CSCI courses are listed below as are some DATA courses; other courses from MATH, STAT, and DATA, as well as internship credit, may also count, depending on relevance, with departmental approval.
Select 16 credits from the following:
course - Introduction to Computer Science in JavaScript
course - Web Application Development
course - Principles of Cybersecurity
course - Intermediate Topics in Computer Science
course - Independent Study in Computer Science
course - Quantum Computing
course - Databases & Information Management
course - Functional Programming
course - Mobile Application Development
course - Computer Networks & Security
course - Secure Code Analysis
course - Cryptography
course - Operating Systems
course - Advanced Topics in Computer Science
course - System Vulnerability and Security
course - Modeling and Simulation OR DATA551- Modeling and Simulation
DATA552 - SQL and Relational Databases
course - Statistical Computing in R