MS Computer Science

2 Years On Campus Masters Program

Georgia Institute of Technology

Program Overview

The Master of Science in Computer Science at Georgia Institute of Technology provides students with advanced knowledge of computing technologies, algorithms, software systems, and emerging areas of computer science. Designed to prepare graduates for highly productive careers in industry, the program combines specialized technical coursework with opportunities for independent projects and research, allowing students to develop expertise in their preferred computing disciplines.

Curriculum Structure:

Foundation and Core Coursework: Students establish a strong foundation in advanced computer science through graduate-level courses in algorithms, programming, computing systems, and computational theory. Depending on their chosen specialization, subjects include CS 6515: Introduction to Graduate Algorithms, CS 6601: Artificial Intelligence, and CS 6210: Advanced Operating Systems. These courses develop analytical thinking, computational problem-solving, and advanced technical skills.

Advanced Coursework and Specialization: Students select one of 11 specializations and complete the required core and elective courses within that area. Popular options include CS 7641: Machine Learning, CS 7643: Deep Learning, CS 6476: Computer Vision, and CS 6750: Human-Computer Interaction. Students can explore areas such as artificial intelligence, computing systems, computational perception and robotics, computer graphics, high-performance computing, machine learning, scientific computing, and visual analytics.

Project and Research Development: Students choose from three degree-completion pathways: coursework, project, or thesis. The coursework option requires 30 credit hours of classes, while the project option combines 21 coursework credits with 9 credits of CS 6999: Master's Project. The thesis option includes 18 coursework credits and 12 credits of CS 7000: Master's Thesis, allowing students to undertake faculty-supervised research and develop original contributions to computer science.

Focus Areas: Artificial Intelligence, Computational Perception and Robotics, Computer Graphics, Computing Systems, High-Performance Computing, Human-Computer Interaction, Machine Learning, Modeling and Simulations, Scientific Computing, Social Computing, and Visual Analytics.

Learning Outcomes: Apply advanced computer science principles to complex technical problems, design and analyze algorithms, develop intelligent computing systems, build secure and efficient software solutions, apply machine learning and data analytics techniques, conduct independent research, and demonstrate advanced problem-solving and technical communication skills.

Professional Alignment (Accreditation): The program emphasizes advanced technical education, specialization-based learning, and practical research or project development. Its curriculum develops competencies relevant to software engineering, artificial intelligence, machine learning, cybersecurity, robotics, and high-performance computing.

Reputation (Employability Rankings): Georgia Tech's College of Computing is recognized for its research strengths and industry-oriented computer science education. Students benefit from access to specialized research laboratories, faculty expertise, technical communities, and Atlanta's growing technology ecosystem. The program is designed to prepare graduates for advanced professional roles across software development, artificial intelligence, machine learning, computer systems, robotics, and technology research.

Experiential Learning (Research, Projects, Internships etc.)

At Georgia Institute of Technology, the MS in Computer Science program emphasizes experiential learning, ensuring that students not only gain theoretical knowledge but also acquire practical skills that are essential in today’s tech-driven world. The program is designed to immerse students in real-world challenges through hands-on projects, collaborative group work, and access to cutting-edge facilities and tools. This approach prepares graduates to excel in various fields within computer science, from software development to artificial intelligence.

Here are some key aspects of experiential learning in the MS Computer Science program at Georgia Tech:

- Research Labs: Students have access to specialized labs such as the Machine Learning Lab, the Robotics and Intelligent Machines Lab, and the Computational Perception and Action Lab, where they can engage in groundbreaking research.

- Capstone Projects: The program includes a capstone project component, allowing students to work in teams on real-world problems, often in collaboration with industry partners.

- Internship Opportunities: Georgia Tech has strong ties with leading tech companies, providing students with numerous internship opportunities that enhance their practical experience and professional network.

- Digital Tools: Students utilize advanced software tools and platforms, including TensorFlow for machine learning, GitHub for version control, and various programming environments tailored to their specific projects.

- Collaborative Spaces: The College of Computing features collaborative spaces designed for group work, fostering teamwork and innovation among students.

- Field Trips and Industry Visits: The program often organizes visits to tech companies and research institutions, giving students insights into industry practices and emerging technologies.

- Libraries and Resources: The Georgia Tech Library offers extensive resources, including access to databases, journals, and software tools that support research and learning.

- Institutes and Centers: Students can engage with various research institutes, such as the Institute for Robotics and Intelligent Machines and the Center for Machine Learning, which provide additional opportunities for hands-on learning and research.

Progression & Future Opportunities

The Master of Science in Computer Science at Georgia Institute of Technology prepares graduates for a dynamic and rewarding career in technology. Alumni often find themselves in high-demand roles such as Software Engineer, Data Scientist, and Systems Architect. With a strong foundation in both theoretical and practical aspects of computer science, graduates are well-equipped to tackle complex challenges in various industries:

- Career Services: Georgia Tech offers robust career services, including resume workshops, interview preparation, and networking events that connect students with industry leaders.
- Employment Statistics: The program boasts an impressive employment rate, with over 90% of graduates securing jobs within six months of graduation, often with starting salaries exceeding $100,000.
- University–Industry Partnerships: Collaborations with leading tech companies like Google, Microsoft, and IBM provide students with internship opportunities and real-world projects that enhance their learning experience.
- Accreditation Value: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that the education you receive meets the highest standards of quality and relevance in the field.
- Graduation Outcomes: Graduates have gone on to work at top-tier companies and have also pursued entrepreneurial ventures, showcasing the versatility of the degree.

Further Academic Progression: After completing the MS in Computer Science, students have the option to pursue a Ph.D. in Computer Science or related fields, allowing them to delve deeper into research and academia. Additionally, graduates can explore specialized certifications or professional development courses to enhance their expertise in emerging areas such as artificial intelligence, cybersecurity, or data analytics. This pathway not only broadens career prospects but also positions graduates as leaders in the ever-evolving tech landscape.