Big Data Analytics M.Sc.: Applied Modelling and Quantitative Methods

Program description

The Big Data Analytics stream is a master’s degree focusing on the rapidly growing field of data science. A professional program that can be completed in as little as one year, this exciting new stream prepares graduates with the tools and techniques they need to work with and understand big data. The program emphasizes practical skills in visualization, data mining, cloud-based approaches, and parallel programming skills and prepares graduates for careers including Data Scientist, Chief Data Officer, Data Solutions Architect, and Business Analyst.

Admission requirements include upper second class (77 or better) standing or its equivalent in a joint or single honours Bachelor of Science or Bachelor of Arts degree in one of the traditional disciplines. Also required is a university course in differential and integral calculus and one in probability and statistics or the equivalent, competency in programming at an elementary level in at least one computational language such as BASIC or FORTRAN, and a course in either differential equations or advanced statistics.

Students of this program will learn about/develop skills in the following areas:

• Foundational, mathematical, computational, and statistical aspects of modelling

• Data Visualization

• High performance computing

• Big data and data mining

• Introduction to databases

 

 

Course website

https://www.trentu.ca/futurestudents/degree/big-data-analytics-msc-applied-modelling-and-quantitative-methods

Related job profiles

Trent University


School of Graduate Studies

Duration

Full-time or part-time (can be completed in as little as one year)

Credential awarded

M.Sc. in Data Analytics

Program contact

    Telephone: (705) 748-1011

    Email: jrichardson@trentu.ca



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