Data Science: four-year plan

How to read this plan

This is a sample path to the B.S. in Data Science in four years at about 15–16 credits per term. Your actual plan depends on placement, transfer credit, a chosen concentration, and when courses are offered — build it with your adviser and check it against your degree audit. Course numbers link to the catalog.

Year 1 · Fall 14 credits

• UNIV 1000 First-Year Seminar (1 cr)
• ENGL 1010 Composition I (3 cr)
• MATH 2400 Calculus I (4 cr)
• DATA 1400 Introduction to Data Science (3 cr)
• ENGL 1010 Composition I (3 cr)

Year 1 · Spring 16 credits

• ENGL 1020 Composition II (3 cr)
• MATH 2500 Calculus II (4 cr)
• DATA 2200 Data Wrangling and Visualization (3 cr)
• ENGL 1020 Composition II (3 cr)
• COMM 1100 Public Speaking (3 cr)

Year 2 · Fall 17 credits

• MATH 2600 Linear Algebra (3 cr)
• APMTH 2400 Calculus I (4 cr)
• APMTH 2500 Calculus II (4 cr)
• Fine Arts elective (3 cr)
• Humanities elective (3 cr)

Year 2 · Spring 17 credits

• DATA 2600 Statistical Inference (4 cr)
• APMTH 2700 Multivariable Calculus (4 cr)
• MATH 1600 Introductory Statistics (3 cr)
• Social Science elective (3 cr)
• Global Perspectives elective (3 cr)

Year 3 · Fall 12 credits

• DATA 3100 Machine Learning for Data Science (3 cr)
• APMTH 3100 Differential Equations and Modeling (3 cr)
• DATA 3300 Databases and Data Engineering (3 cr)
• PHIL 2300 Ethics (3 cr)

Year 3 · Spring 14 credits

• APMTH 3300 Numerical Methods (3 cr)
• DATA 3500 Experiments and Causal Inference (3 cr)
• Wellness elective (2 cr)
• COOP 2000 Cooperative Education (recommended) (0 cr)
• Free elective (3 cr)

Year 4 · Fall 12 credits

• APMTH 3500 Probability Models (3 cr)
• DATA 3700 Data Ethics and Governance (3 cr)
• APMTH 3700 Optimization (3 cr)
• Free elective (3 cr)

Year 4 · Spring 12 credits

• APMTH 3900 Mathematical Statistics (3 cr)
• DATA 4200 Data Science Practicum (3 cr)
• Free elective (3 cr)
• ENGL 1010 Composition I (3 cr)