Analytics & Modelling ( 3 units)
The course focusses on the fundamental principles of big data, data
analytics and data modelling. Students
will learn how big data analytics has evolved to impact various industries and
business sectors. The course will
present the analytics life cycle in context of planning to solve a business
problem. Emphasis will be placed on
framing the problem, proposing an analytics solution, communicating with
stakeholders, and establishing an analytics focussed project plan.
Big Data Analytics ( 3 units)
Building on the fundamental principles of data analytics, the course
content progresses to identifying and using common analytics tools to process
big data. Students will work on the
identification of model structure, the processes to run, evaluate and calibrate
model and data structures using applicable industry standards and software
Data Management (3 units)
The course explores the importance of data management in term of the
acquisition, storage, sharing, validation and accessibility of data for solving
a business problem. An examination of
Database Management Systems, database architectures, and the administrative
processes that guide the data life cycle will be a focus of the course.
Predictive Modelling & Data Mining (3 units)
The course will introduce predictive modelling techniques as well as
related statistical and visualization tools for data mining. The course will cover common machine learning techniques that are
focused on predictive outcomes. Students will learn how to evaluate the
performance of the prediction models and how to improve them through time.
Big Data Programming (3 units)
Developing solutions for extracting and
analysing big data sets using Hadoop and Spark is the focus of the course. Students will build upon the knowledge and
skills of earlier program courses to analyze large-scale network data and to
problem solve potential solutions.
Big Data Analytics Capstone Course (3 units)
The course provides students with a real-world business problem/project
in order to apply analytics models, methodologies and tools learned in the
program. Faculty mentors will work with
students to ensure the capstone project reflects, and encompasses, best
practices for big data analytics and project management.