Academic structure, teaching phases, and curriculum for M.Sc. Data Science at University of California San Diego.


Master of Advanced Studies in Data Science and Engineering
Teaching phases
Part-time data science and engineering master’s
The programme requires 11 quarter-length courses and 38 units, with a normative six academic quarters and summers off.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Applying to University of California San Diego?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of California San Diego. The consultation is free.
Academic structure, teaching phases, and curriculum for M.Sc. Data Science at University of California San Diego.


Master of Advanced Studies in Data Science and Engineering
Teaching phases
Part-time data science and engineering master’s
The programme requires 11 quarter-length courses and 38 units, with a normative six academic quarters and summers off.
Tuition fee and hostel estimate
Year-wise cost data is not currently published for this program.
Applying to University of California San Diego?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for University of California San Diego. The consultation is free.
Training & support
Practical training & industry exposure
UC San Diego’s current academic portfolio links classroom study with department laboratories, research groups, clinical and public-health settings, data-science projects, engineering design and business case work. Practical access depends on the programme: undergraduate majors may use labs, projects and internships; graduate students should verify research fit, supervisors, practicum rules, professional placements and any school-specific facilities before applying.
Industry & placement partners
Training & support
Practical training & industry exposure
UC San Diego’s current academic portfolio links classroom study with department laboratories, research groups, clinical and public-health settings, data-science projects, engineering design and business case work. Practical access depends on the programme: undergraduate majors may use labs, projects and internships; graduate students should verify research fit, supervisors, practicum rules, professional placements and any school-specific facilities before applying.
Industry & placement partners