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The Computer Science program offers an intensive and comprehensive study of computing principles, programming, and advanced technologies, preparing students for specialized careers in the tech industry. Over one year, students explore algorithms, data structures, software engineering, artificial intelligence, and machine learning, integrating theoretical knowledge with practical applications. The curriculum emphasizes problem-solving, computational thinking, and research skills, enabling learners to address complex challenges in software development, data analysis, and system design. Through projects, labs, and collaborative exercises, students develop the ability to create innovative computing solutions and technological advancements.
Students also gain hands-on experience through coding projects, research initiatives, and applied software development, fostering both technical expertise and professional competencies. Mentorship from experienced faculty and engagement with current industry practices ensure students are career-ready. By the end of the program, graduates leave with strong analytical, programming, and research skills, equipped to contribute effectively to software development, data science, and emerging technology sectors.
Semester 1 โ Foundations in Computer Science
Semester 2 โ Advanced Topics & Applied Projects
Graduates are prepared for careers as software engineers, data scientists, AI specialists, and systems analysts. They may work in tech companies, research institutions, startups, or multinational corporations. The program equips students with skills in programming, computational problem-solving, software design, and data analysis, enabling them to develop and optimize advanced technological solutions. Alumni often contribute to software development, AI and machine learning initiatives, or innovative tech projects. With strong applied experience and technical knowledge, graduates gain a competitive advantage in the rapidly evolving computing industry.
This program is ideal for students seeking advanced knowledge in computer science combined with applied project experience and research opportunities. The one-year structure allows learners to rapidly acquire essential technical skills, engage in coding and research projects, and work closely with faculty mentors. By participating in labs, collaborative projects, and applied research, students develop critical thinking, problem-solving abilities, and technical expertise. The curriculum emphasizes innovation, practical application, and emerging technologies, preparing graduates to make meaningful contributions to software development, AI, and data-driven solutions.
For further information, please contact the admissions office at:
Phone: +1 (512) 471-3434
Email: gradadmissions@utexas.edu
Address: 110 Inner Campus Drive, Stop G1800, Austin, TX 78712, USA