Academic structure, teaching phases, and curriculum for M.Sc. Data Science at Texas A&M University.

Master of Science in Data Science
Teaching phases
Data science core
Mathematical foundations, statistical foundations, data mining and analysis, and databases and computational tools.
Elective track
Students complete approved electives and one of the participating departmental tracks.
Tuition fee and hostel estimate
Applying to Texas A&M University?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for Texas A&M University. The consultation is free.
Academic structure, teaching phases, and curriculum for M.Sc. Data Science at Texas A&M University.

Master of Science in Data Science
Teaching phases
Data science core
Mathematical foundations, statistical foundations, data mining and analysis, and databases and computational tools.
Elective track
Students complete approved electives and one of the participating departmental tracks.
Tuition fee and hostel estimate
Applying to Texas A&M University?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for Texas A&M University. The consultation is free.
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
Texas A&M's selected programmes describe applied learning through senior design sequences, engineering laboratories, computational tools, internships, cooperative education, research and multidisciplinary projects. Aerospace students work through a two-semester senior design sequence; mechanical engineering pages describe co-op and professional internship opportunities; graduate computing and data science routes emphasize research, advanced tools and applied analytical work. The experience varies by award and department.
Industry & placement partners
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
Texas A&M's selected programmes describe applied learning through senior design sequences, engineering laboratories, computational tools, internships, cooperative education, research and multidisciplinary projects. Aerospace students work through a two-semester senior design sequence; mechanical engineering pages describe co-op and professional internship opportunities; graduate computing and data science routes emphasize research, advanced tools and applied analytical work. The experience varies by award and department.
Industry & placement partners