Master of Science in Computational Science and Engineering

2 Years On Campus Masters Program

Georgia Institute of Technology

Program Overview

Georgia Tech's Master of Science in Computational Science and Engineering is an interdisciplinary program combining computer science, mathematics, and engineering to develop computational solutions for complex scientific and industrial problems. Students gain expertise in numerical computing, data analysis, modelling, simulation, and high-performance computing, preparing for careers in technology, engineering, government, and research.

Curriculum Structure

Year 1: Students develop core computational skills through courses such as Numerical Linear Algebra (CSE/MATH 6643), Computational Science and Engineering Algorithms (CSE 6140), and Modeling and Simulation: Foundations and Implementation (CSE 6730). They also study computational data analysis and high-performance computing while beginning their chosen application-area specialization.

Year 2: Students advance their specialization through courses such as Computational Data Analysis: Learning, Mining, and Computation (CSE/ISYE 6740) and High Performance Computing (CSE 6220). They complete additional application-focused electives or undertake a six-credit interdisciplinary master's thesis involving computational research and practical problem-solving.

Note: The degree requires 30 credit hours, including 12 credits of core courses, 12 credits of specialization coursework, and 6 credits of additional coursework or thesis. Students select four of the five core courses.

Focus Areas

Numerical Computing, Computational Data Analysis, Machine Learning, Scientific Computing, High-Performance Computing, Mathematical Modelling, Simulation, Computational Algorithms, Engineering Applications.

Learning Outcomes

Computational modelling, numerical analysis, algorithm development, scientific data analysis, machine learning applications, high-performance computing, simulation techniques, interdisciplinary problem-solving, computational software development.

Professional Alignment (Accreditation)

The program integrates computer science, mathematics, and engineering through an interdisciplinary graduate curriculum. Specific professional accreditation for this master's program is not stated in the official catalog.

Reputation (Employability)

Industry and research opportunities: Georgia Tech prepares graduates for careers in engineering software development, financial engineering, computational modelling, data mining, visualization, and high-performance computing. Graduates can also pursue opportunities in government laboratories, research organizations, and academia

Experiential Learning (Research, Projects, Internships etc.)

At Georgia Institute of Technology, the Master of Science in Computational Science and Engineering program is designed to provide students with hands-on experience that bridges the gap between theoretical knowledge and real-world application. Students engage in a variety of practical learning opportunities that enhance their skills and prepare them for successful careers in computational science and engineering. With access to state-of-the-art facilities and cutting-edge tools, students can immerse themselves in collaborative projects, internships, and research initiatives that foster innovation and creativity.

Here are some key experiential learning opportunities available to students in the program:

- Research Laboratories: Students can work in specialized labs such as the Institute for Data Engineering and Science (IDEaS) and the High-Performance Computing (HPC) facilities, where they can conduct advanced research and collaborate with faculty on groundbreaking projects.

- Software and Tools: Gain proficiency in industry-standard software such as MATLAB, Python, and R, as well as access to high-performance computing resources that are essential for complex simulations and data analysis.

- Group Projects: Engage in team-based projects that simulate real-world challenges, allowing students to apply their computational skills in collaborative settings and learn from peers.

- Internships: The program encourages internships with leading tech companies and research institutions, providing students with invaluable industry experience and networking opportunities.

- Field Trips: Participate in organized visits to tech companies, research facilities, and conferences, offering insights into the latest advancements in computational science and engineering.

- Libraries and Resources: Access to the Georgia Tech Library, which houses extensive collections of research materials, journals, and databases relevant to computational science and engineering.

- Interdisciplinary Institutes: Collaborate with other departments and institutes, such as the College of Computing and the School of Civil and Environmental Engineering, to broaden your understanding and application of computational methods across various fields.

Progression & Future Opportunities

The Master of Science in Computational Science and Engineering at Georgia Institute of Technology equips graduates with the skills and knowledge to excel in a rapidly evolving tech landscape. Alumni often find themselves in high-demand roles such as Data Scientist, Software Engineer, Research Scientist, and Computational Analyst. The program not only prepares you for immediate employment but also opens doors to advanced career opportunities in various industries:

- University Services for Employment: Georgia Tech offers robust career services, including personalized career coaching, resume workshops, and networking events with industry leaders. The Career Center also hosts job fairs specifically tailored for engineering and technology students.

- Employment Stats and Salary Figures: Graduates of the program enjoy impressive employment rates, with over 90% securing jobs within six months of graduation. The average starting salary for graduates is around $100,000, reflecting the high demand for skilled professionals in this field.

- University–Industry Partnerships: Georgia Tech has established partnerships with leading companies such as Google, Microsoft, and IBM, providing students with internship opportunities and real-world projects that enhance their learning experience.

- Long-term Accreditation Value: The program is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC), ensuring that your degree holds value and recognition in the job market for years to come.

- Graduation Outcomes: Alumni have gone on to work in prestigious organizations and research institutions, contributing to groundbreaking projects and innovations in computational science and engineering.

Further Academic Progression: After completing the MS in Computational Science and Engineering, you may choose to pursue a Ph.D. in a related field, allowing you to delve deeper into research and potentially teach at the university level. Alternatively, you could explore specialized certifications or professional development courses to enhance your expertise in areas like machine learning, data analytics, or artificial intelligence, further broadening your career prospects.