TAMIDS collaborates with multiple departments across Texas A&M to provide graduate programs, certificates, and research opportunities for students interested in data science, artificial intelligence, and machine learning who are looking to become a competitive member of the job market.
| Masters of Science in Data Science The Master of Science in Data Science degree is an on-campus interdisciplinary program offered by the Departments of Computer Science and Engineering, Electrical and Computer Engineering, Mathematics, and Statistics within the University’s Colleges of Engineering and Arts and Science, and administered jointly with the Texas A&M Institute of Data Science. The multidisciplinary curriculum provides students with a solid foundation in mathematics, statistics, computer science, and machine learning through core courses, after which students can choose from elective courses provided by the different participating departments. |
| Data Science Capstone Data Science Capstone projects run within the academic setting of the Master of Science in Data Science and other Graduate programs. The Data Science Capstone aims to complement students’ knowledge of Data Science methods and technologies through the practice of its application to research problems in Data Science domains. It is intended to facilitate student learning by gaining experience working with real-world data and interacting with sponsoring Data Science application researchers. This provides a pathway for students to develop a track record for applied Data Science and gain insights into potential future opportunities. In turn, sponsors can benefit from the application of data science methods for problem-solving and developing relationships with students and faculty throughout the project. |
| Undergraduate Certificate in Data Analytics for the Petroleum Industry The Data Analytics for Petroleum Industry Certificate is coordinated by TAMIDS. The certificate is interdisciplinary and is housed in the Harold Vance Department of Petroleum Engineering within the Texas A&M University College of Engineering to train undergraduate students at Texas A&M University to become more competitive in the petroleum industry job market. Students will receive an education in concepts, computation, and case-based learning to prepare them for data analytics and machine learning careers. |
| Masters of Science in Energy, Energy Digitization Theme TAMIDS has developed and provides instruction for three Data Science courses within the Energy Digitization theme of the Texas A&M Energy Institute’s Masters of Science in Energy: Introduction to Machine Learning for Energy, Data Science Fundamentals for Energy I, and Data Science Fundamentals for Energy II. This program, through a module-based structure and a distinguished seminar series, exposes students and professionals to (a) important energy challenges and opportunities, and (b) advances in theory, methods, technologies, and applications delivered by energy leaders from academia, industry, and government, through a module-based structure and a distinguished seminar series. |
| College of Engineering Sprint Courses In response to the rapid adoption of artificial intelligence (AI), machine learning (ML), and other computing-related technologies, the College of Engineering, in collaboration with TAMIDS, began piloting sprint courses in Fall 2023. Sprint courses are short, one week earning one credit that counts toward the fall semester load, and aim to familiarize students with emerging tools in engineering and beyond. ENGR698 Machine Learning for Computer Vision |