Data Science Concentration in Chemical Engineering

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The optional concentration in Data Science provides interested undergraduate students a way to enhance their degree by combining elements of computer programming, statistics, business and chemical engineering knowledge without impeding on the already rigorous undergraduate curriculum. Interested students will select focused courses (listed above) to fulfill their Technical Engineering Selective (3cr), Engineering Selective(s) (3-6 cr) and Chemical Engineering Selective (3cr) requirements for their BSCHE.

Data Science Concentration (12 credits)

Foundational Programming Courses - Choose One (3 credits)

Data Science Selectives (9 credits)

9 credits total

- 3 credits must be CHE

- 6 credits must be 40000 level or higher

AAE 55000 - Multidisciplinary Design Optimization
BIOL 47800 - Introduction To Bioinformatics
CGT 27000 - Introduction To Data Visualization
CHE 41100 - ChE Undergraduate Research
CHE 55500 - Computer Integrated Process Operations
CHE 59700 - Special Topics In Chemical Engineering (Title: Data Science in ChE)
ECE 59500 - Selected Topics In Electrical Engineering (Title: Machine Learning) or
IE 49000 - Special Topics In Industrial Engineering
ILS 29500 - Special Topics In Information And Data Science (Title: Statistical Learning)
PHIL 29300 - Selected Topics In Philosophy (Title: Ethics of Data Science)
STAT 41600 - Probability

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Data Science Concentration in Chemical Engineering

Data Science Concentration (12 credits)

Foundational Programming Courses - Choose One (3 credits)

Data Science Selectives (9 credits)