Global Data Science Masters and Career Opportunities in USA, Canada and Europe
summary
Claims that top data-science hires are strongest in programming, math and domain work and that LinkedIn lists ML engineer roles as highest-paying; cites a statistic that roughly 70% with PhD dominate elite competition winners and that many programs convert credits into engineering MS or MBA tracks. Notes concrete options: a Case Western Reserve partnership and similar US/Canada/Europe masters, distance courses usually deny work permits while on-campus degrees offer a 3-year work permit and much higher placement rates.
AI-written summary · about
chapters (7)
- 0:00Introduction and welcome
- 4:17Global Data Science Masters overview
- 16:51Career opportunities in USA and Canada
- 27:07Programs in Europe and partnerships
- 35:04Choosing the right country for studies
- 44:50Placement support and scholarships
- 47:21Q&A and closing remarks
related talks
43mAddressing the Scarcity of Data Scientist
56mHow to become a Data Scientist in 6 months
47mLearning Data Science through Education, Bootcamps & MOOC
19mCreating Global Economic Opportunity with Responsible Data Science
58mGrowth & change of careers, organizations & responsibility in data science
22mData Scientist: The Sexiest Job of the Century 10 Years Later - Still Sexy?
25mHow Data Science is Evolving Technology Education
24mHow to successfully become a Data Scientist
