Data Analytics

Data analytics has become a major growth area of IT, penetrating many more traditional industries with the promise of increased efficiency. Whether it is modeling customers for business, crops for agriculture, or voting intensions for politicians, data analytics has changed the way that we measure, model and understand the world we live in. Data analytics requires significant cross training in computer science, mathematics and statistics, as well as some domain knowledge. 

This program trains students in the mathematical theory, and computational tools and techniques of data analysis. Data is now a core business commodity used to analyze everything from stock market performance, to the voting intentions of particular groups, to the conservation status of protected species. Underlying these complex analyses are mathematical and computational tools that allow the manipulation of large amounts of data to extract meaning. This program combines courses Computer Science and Mathematics and Statistics to provide knowledge and skills in several critical areas: fundamentals of computer programming and practice, the fundamentals of data analytics, mathematical fundamentals for modelling, statistical measurement and reasoning, and machine learning.

Graduates of this degree program would have a strong foundational knowledge of data analytics, and would then work with domain experts in the field to obtain insight. Graduates could work for technology companies developing and deploying the latest analytic techniques or in more traditional industries providing insight from data in mining, agriculture, or business.

Resources