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The Computer Science field is among the fastest-growing fields in the United States. Wilmington University's MS in Computer Science curriculum is designed to align with high-demand emerging areas of computing. Students will be equipped with the skills to handle complex real-world computing challenges to become data scientists or software engineering professionals. The curriculum will cover topics focused on data structure and algorithms, Python programming, intro to data science, principles of software engineering, ethics in digital world, theories in artificial intelligence, cloud-based machine learning, deep learning and neural networks, natural language processing, data mining, data analytics, software engineering methodologies, software system requirements, usability engineering, information system architecture, DevOps, project management, and a final capstone course.
The MS in Computer Science program prepares students for a variety of job opportunities such as: computer scientist, computer and information systems managers, computer and information researcher, computer programmers, computer science teachers, software developers, information security analysts, database administrators, computer systems analysts, computer systems administrators, software engineers, data scientists, etc.
The 30-credit MS in Computer Science program includes two concentrations that align with industry and workforce needs and provide students focused learning and dynamic skill sets:
a. MS Computer Science - Artificial Intelligence
b. MS Computer Science - Software Engineering
The MS in Computer Science consists of 6 credits of core courses, 18-21 credits of concentration courses, and 3-6 credits of elective courses.
Durable and Technical Skills
The MS in Computer Science program provides students with technical skill and a wide range of durable skills. Students will gain a deep understanding of programming languages, algorithms, and data structures, forming the graduate's technical expertise bedrock, measured by the program competencies. Equally important, students develop critical thinking and problem-solving abilities that are invaluable when addressing real-world problems. They will learn to analyze issues methodically, break them into smaller, manageable components, and devise efficient solutions. MS in Computer Science courses also emphasize collaboration and communication, honing students' capacity to work in dynamic teams, develop and communicate their ideas effectively, and present information in accessible ways. These are essential skills for success in any professional setting. The graduation competencies will measure the durable skills learned throughout the MS in Computer Science program.
The MS in Computer Science program will also encourage adaptability and a continuous learning mindset, which is crucial in a rapidly evolving field like computer science. Students become adept at quickly mastering new technologies and methodologies, enabling them to stay abreast of emerging trends and innovations. As the computer science field continues to evolve, graduates will need a strong foundation in ethical considerations, understanding the implications and responsibilities of developing and implementing technological solutions. The combination of technical and durable skills provides a pathway to success for any MS in Computer Science graduate.
Program Competencies
In addition to satisfying the University's graduate graduation competencies, students will have an advanced level of applicable knowledge in the following areas as appropriate to one's field of study.
Computer Science – Artificial Intelligence Concentration
Computer Science – Software Engineering Concentration
Students in the MS: Computer Science - Artificial Intelligence concentration will complete two courses from the Computer Science core (6 credits), seven courses for the concentration (21 credits), and choose one elective (3 credits) for a total of 30 credits.
CSC 7006 Ethics in Digital World
CSC 8101 CSC Capstone Project
CSC 7002 Python Programming
CSC 7020 Theory of Artificial Intelligence
CSC 7021 Cloud-Based Machine Learning
CSC 7022 Deep Learning and Neural Network
CSC 7023 Natural Language Processing (NLP)
CSC 7026 Large Language Models and RAG
MAT 6400 Mathematics for Machine Learning
CSC 7027 Agentic AI and Multi-Agent Systems
CSC 7028 Computer Vision
CSC 7029 Reinforcement Learning
Students in the MS Computer Science - Software Engineering concentration will complete the two courses from the Computer Science core (6 credits), the concentration (18 credits), and two electives (6 credits) for a total of 30 credits.
CSC 7003 Algorithms and Advanced Data Structures
CSC 7040 Software Engineering Methodologies
CSC 7041 Software Systems Requirements
CSC 7042 Usability Engineering/Human-Computer Interaction
CSC 7043 Information Systems Architecture
CSC 7044 DevOps
IPM 6050 Agile Project Management
IST 7060 Project and Change Management
IST 7080 Cloud Management
This information applies to new students who enter this degree program during the 2026-2027 Academic Year. All enrolled students should log in to MyWilmU Degree Works to view their personalized course and program completion requirements. You may also refer to the academic catalog for the general curriculum for this program from previous academic years.
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