Big Data Analytics M.SC.

Part of the prestigious School of Graduate Studies at Trent University, the Big Data Analytics M.Sc. is a new stream in the program of Applied Modelling & Quantitative Methods.

The Big Data Analytics Stream is a Master’s of Science degree focusing on the rapidly growing field of data science. A professional program that can normally be completed 16 months, this exciting new stream prepares graduates with the tools and techniques they need to work with, and understand big data.

The field of data science is an evolving one, requiring skills from application domains, mathematics and computer science.

What You’ll Learn

• Foundations of Modelling
• Mathematical aspects of modelling
• Computational aspects of modelling
• Statistical Aspects of Modelling
• Data Visualization
• High performance computing
• Big Data
• Data Mining
• Introduction to Databases

Admission Requirements

• The Applied Modelling and Quantitative Methods Thesis Based stream accepts students into the program in September, January and May.  The Big Data Analytics and Financial Analytics Course Based streams only accept students once a year in September.
• The general regulations and requirements of Trent University for the MA/MSc degree apply to this graduate program. The normal requirement for admission into this program is an upper second class (77% or better) (B+ at Trent) standing or its equivalent, in a joint or single honours BSc or BA degree.  Before acceptance into the thesis based stream, a core faculty member must be identified to supervise the student’s work.