What is Data Science?

Data science refers to the development and application of methodologies for inspecting, cleaning, managing, transform, visualizing and modeling data with a view to discovering useful information, reaching conclusions and supporting decision making.  Data Science is inherently interdisciplinary, with the two dominant disciplines being Computer Science and Statistical Science.

There is a big demand for Data Scientists and that demand is still growing as the rate of data collection is increasing in every discipline. Being able to efficiently generate, manage and analyze digital information, data scientists are widely sought after in numerous fields of scientific investigation.

Where do Data Scientists work?

  • Airline and Auto Industry
  • Banks, Investment Firms and other Financial Institutions
  • Insurance Companies
  • Health Care and Medical Research Firms
  • Marketing Firms
  • Sports Agencies
  • Tech Companies and numerous other industries
What should I have taken in first year?

  • Computer Science 1026A/B
  • Computer Science 1027 A/B
  • Calculus 1000A/B or 1500 A/B
  • Calculus 1501A/B or 1301 A/B(min 85%)
  • Math 1600 A/B
Why choose Data Science?

Students graduating with a Data Science module will have solid data and analytical literacy and these skills are in very high demand in the work place. The following are just some of the opportunities available to you while completing a program at Western in Data Science:

  • Internship program; you will not only benefit from the paid hands-on work experience, but you will also be mentored by a professional in the field
  • undergraduate opportunities for summer funded research in either the Computer Science or Statistical and Actuarial Sciences Department
  • Dynamic undergraduate students association and clubs in both departments
  • Combined Ivey HBA degree option  as well as concurrent degree option with engineering
  • Data Science modules can be combined with other modules including Biology, Economics, Actuarial Science and Financial Modeling to name a few