Data Science
Statistics, programming, and machine learning applied to data — a major positioned at the intersection of CS, stats, and business.
Core courses
- • Statistics
- • Programming
- • Databases
- • Machine Learning
- • Data Visualization
- • Big Data Systems
- • Experimental Design
- • Capstone
Career paths
- • Data Scientist
- • Data Analyst
- • ML Engineer
- • Business Intelligence
- • Research Analyst
- • Quantitative Analyst
- • Consulting
- • Graduate School
What to expect
Lighter algorithms than CS, heavier stats than business. Projects with real data matter — Kaggle, portfolio repos, internships.
How Fennie helps
Fennie covers statistics, machine learning, probability, and databases.
FAQ
Data science vs CS?
Data science narrower, more business-applied. CS more flexible into software roles.
Is data science oversaturated?
Entry-level yes; experienced (3+ years) still strong demand.
Do I need a master's?
Helpful but not required. Strong portfolio and internships can substitute.
Get through your Data Science coursework with Fennie
Daily Plans adapted to your specific courses — upload syllabi and Fennie does the rest.
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