Master’s in Data Science for MIT MicroMaster's Graduates
Course Descriptions and Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 475-DL : Project Management
Description
This course introduces best practices in project management,
covering the full project life cycle with a focus on globally
accepted standards. The course introduces traditional/waterfall,
hybrid, and iterative/agile approaches to project management.
Regarding traditional methods, the course reviews project
integration management, portfolio and stakeholder management,
chartering, scope definition, estimation, precedence diagrams, and
the critical path method. It also reviews scheduling, risk analysis
and management, resource loading and leveling, Gantt charts, earned
value analysis and performance indices for project cost and
schedule control. By applying methods discussed in this course,
students will be able to execute information systems and data
science projects more effectively.
