The fall term and winter term curriculum
- Artificial Intelligence
- Finance, Banking and Insurance
The core courses are common across the different
Core Courses – Required for students in all
- Personal Career Management classes & activities – compulsory attendance
- 7 courses (0.5 FCE each) required courses:
- Business Skills for Data Scientists
- Data Consulting
- Introduction to Data Science
- Statistical Modelling I
- Statistical Modelling II
- Unstructured Data
Students who can demonstrate sufficient background in any of the above required core courses (e.g., scoring a final mark of 78% or higher in a similar course during their undergraduate degree with sufficient documentation to demonstrate mastery of the topic, such as a detailed course outline) may be permitted to substitute any such course with another
The Data Analytics Core consists of courses that combine technical skills drawn from both statistical and computer sciences with complementary professional skills. This Core curriculum emphasizes fundamental data analytics skills, including managing and working with large data (big data programming models and platforms, e.g., MapReduce, Hadoop, etc.), statistical modelling, and algorithmic modelling. Where appropriate, professional skills are threaded into such data analytics-oriented courses through written and oral assessments and group work. These and other professional skills are further developed in two additional courses that develop business, ethics and consulting skills.
In addition to this Core training, the Specialty Fields provide domain-targeted training, where data analytics plays a large role.