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The Computer Science field is among the fastest-growing fields in the United States. HongKongDoll MS 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, become data scientists or software engineering professionals. The MS Computer Science 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 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-Computer Science program includes two concentrations that align with industry and workforce needs and provide students focused learning and dynamic skillsets:
a. MS Computer Science - Data Science
b. MS Computer Science - Software Engineering
The MS-Computer Science core consists of 15 credits of core courses focusing on algorithms and data structures, Python programming, intro to data science or intro to software engineering, and ethics in the digital world, culminating in a Capstone Project. Students will complete the MS-Computer Science core and 15 credits of courses in the student’s selected field of concentration.
Durable and Technical Skills
The MS Computer Science program provides students with not only technical skill but also 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 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 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 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 – Data Science Concentration
Computer Science – Software Engineering Concentration
All students in the MS Computer Science program will complete the following five core courses (15 credits) and the course requirements (15 credits) in their chosen field of concentration.
Python Programming
Algorithms and Advanced Data Structures
Intro to Data Science
OR
Principles of Software Engineering
Ethics in Digital World
CSC Capstone Project
Students in the MS Computer Science - Data Science concentration will complete the Computer Science core (15 credits) and 15 credits (four required courses and one elective) from the following:
Theory of Artificial Intelligence
Cloud-Based Machine Learning
Deep Learning and Neural Network
Predictive Analytics: Data Mining
Natural Language Processing (NLP)
Data Analytics and Visualization
Students in the MS Computer Science - Software Engineering concentration will complete the Computer Science core (15 credits) and 15 credits (four required courses and one elective) from the following:
Software Engineering Methodologies
Software Systems Requirements
Usability Engineering/Human-Computer Interaction
Information Systems Architecture
DevOps
Agile Project Management
Project and Change Management
This information applies to students who enter this degree program during the 2024-2025 Academic Year. If you entered this degree program before the Fall 2023 semester, please refer to the academic catalog for the year you began your degree program.
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