MS in Computer Science

2 Years On Campus Masters Program

George Washington University

Program Overview

The Master of Science in Computer Science at George Washington University (GW) equips students with advanced programming, computational, and analytical skills to address complex challenges in modern technology. The program combines core computer science courses with flexible electives, allowing students to specialize in areas such as artificial intelligence, computer security, machine learning, computer networks, and software engineering while preparing for research-oriented and industry-focused careers.

Curriculum Structure:

Foundation and Core Coursework: Students begin by strengthening their understanding of software development, computer systems, mathematical concepts, and algorithmic problem-solving. Core courses include CSCI 6201: Software Fundamentals, CSCI 6202: Computer Systems Fundamentals, CSCI 6203: Mathematical Fundamentals of Computer Science, and CSCI 6212: Design and Analysis of Algorithms. These courses establish the technical foundation required for advanced computing study.

Advanced Coursework and Specialization: Students select graduate-level electives to develop expertise in their preferred areas of computer science. Options include CSCI 6364: Machine Learning, CSCI 6331: Cryptography, and CSCI 6223: Principles of Programming Languages, alongside courses in artificial intelligence, computer architecture, databases, networking, graphics, and distributed systems.

Research and Thesis Development: Students can choose between a thesis and non-thesis pathway. The non-thesis option involves completing 30 credits of coursework, while the thesis option includes 24 credits of coursework and 6 credits of thesis research through CSCI 6998: Thesis Research and CSCI 6999: Thesis Research. Thesis students work with faculty advisors and a committee to investigate a specialized computing problem and defend their research findings.

Focus Areas: Algorithms and Theory, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Architecture, Computer Networks, Parallel and Distributed Computing, Computer Security, Cryptography, Database Systems, Information Retrieval, Graphics and Animation, Human-Computer Interaction, Software Engineering, and Operating Systems.

Learning Outcomes: Develop advanced programming and software development skills, analyze complex algorithms and computational problems, understand computer architecture and operating systems, design secure and efficient computing solutions, apply machine learning and artificial intelligence techniques, conduct independent research, and communicate technical findings effectively.

Professional Alignment (Accreditation): The program emphasizes advanced technical knowledge, research capabilities, and practical computing skills relevant to modern technology careers. Its specialized coursework supports professional development in software engineering, artificial intelligence, cybersecurity, computer systems, and data-driven technologies.

Reputation (Employability Rankings): George Washington University benefits from its location in Washington, D.C., providing students with access to technology companies, government agencies, research organizations, and cybersecurity-focused institutions. The university's School of Engineering and Applied Science offers faculty-led research and interdisciplinary learning opportunities. Graduates can pursue careers in software development, artificial intelligence, cybersecurity, systems engineering, and technology research.

Experiential Learning (Research, Projects, Internships etc.)

At George Washington University, the MSc in Computer Science program is designed to provide students with a robust blend of theoretical knowledge and practical skills. The curriculum emphasizes experiential learning, ensuring that you not only learn the concepts but also apply them in real-world scenarios. Students have access to state-of-the-art facilities and tools that enhance their learning experience and prepare them for successful careers in technology.

Here are some key aspects of the experiential learning opportunities available in the program:

- Research Labs: Engage in cutting-edge research at facilities like the Data Science and Analytics Lab, where you can work on projects involving big data and machine learning.
- Group Projects: Collaborate with peers on team-based projects that simulate real-world challenges, fostering teamwork and problem-solving skills.
- Internship Opportunities: Take advantage of GW's strong connections with industry leaders, providing pathways for internships that offer hands-on experience and networking opportunities.
- Software and Tools: Gain proficiency in industry-standard software and programming languages, including Python, Java, and R, as well as tools like TensorFlow and MATLAB.
- Field Trips: Participate in organized visits to tech companies and research institutions, giving you insights into the industry and potential career paths.
- Libraries and Resources: Access extensive resources at the Gelman Library, which offers a wealth of academic materials and study spaces tailored for computer science students.
- Collaboration with Institutes: Work alongside the GW Institute for Data, Democracy & Politics, where you can explore the intersection of technology and social issues.

Progression & Future Opportunities

Pursuing an MSc in Computer Science at George Washington University opens the door to a wealth of career opportunities in a rapidly evolving field. Graduates often find themselves in roles such as Software Engineer, Data Scientist, Cybersecurity Analyst, or IT Project Manager. The skills and knowledge gained from this program equip students to thrive in diverse industries, making them highly sought after by employers.

Here’s how GWU supports your journey toward a successful career:

- Career Services: The university offers dedicated career counseling, resume workshops, and interview preparation to help you stand out in the job market.
- Employment Statistics: GWU boasts an impressive employment rate, with over 90% of graduates securing jobs within six months of graduation, often with starting salaries exceeding $80,000.
- University–Industry Partnerships: Collaborations with leading tech companies like Amazon, Microsoft, and Google provide students with internship opportunities and real-world project experience.
- Accreditation: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that your degree meets the highest educational standards and is recognized globally.
- Graduation Outcomes: Alumni have gone on to work at top firms and have reported high levels of job satisfaction and career advancement.

Further Academic Progression: After completing your MSc in Computer Science, you may choose to further your studies by pursuing a PhD in Computer Science or related fields. This advanced degree can lead to opportunities in academia, research, or specialized industry roles, allowing you to contribute to cutting-edge innovations and advancements in technology. Additionally, you might consider certifications in specialized areas such as artificial intelligence, machine learning, or cybersecurity to enhance your expertise and marketability.