Master of Science - Applied Modelling and Quantitative Methods - Big Data Analytics (Course Based) (MS.AMOD.DATA) (Duration : 16 months)
Course Description
Program Description Delve into the rapidly growing field of data science. Trent is one of the first universities in Canada to work to fill the training gap for professionals in data science. You will be uniquely prepared with the tools and techniques you require to work with and analyze today’s increasingly complex data sets in all areas of the sciences, as well as the business world. This professional program can be completed in 16 months and emphasizes practical skills in visualization, data mining, cloud-based approaches and parallel programming skills. Prepare for careers including Chief Data Officer, Data Scientist, Data Solutions Architect, Business Manager and Business Analyst. Note: The official deadline to apply for the September intake is February 1st. Those applications will continue to be processed and have first consideration. Some programs will continue to accept applications after the deadline, however those applications will be contingent depending on program availability and seats open for consideration.
Intake
Students Feedback
4.70
Average Rating
Anthony Forsey
Awesome course
Investig ationes demons travge vunt lectores legee lrus quodk legunt saepius was claritas kesty they conctetur they kedadip lectores legee sicing.
Justin Nam
Test review lol
Investig ationes demons travge vunt lectores legee lrus quodk legunt saepius was claritas kesty.
Murir Dokan
This is a title of review. the developer suffer from lot's of vitamin. what about you?
Investig ationes demons travge vunt lectores legee lrus quodk legunt saepius was claritas kesty they conctetur they kedadip lectores legee sicing.
John Doe
Best course ever
Investig ationes demons travge vunt lectores legee lrus quodk legunt saepius was claritas kesty they conctetur they kedadip lectores legee sicing. Investig ationes demons travge vunt lectores legee lrus quodk legunt saepius was claritas kesty they conctetur they kedadip lectores legee sicing.
