A B.Sc. in Chemical Engineering and Data Science that combines core chemical engineering training with data science and machine learning for real-world process and product challenges. You’ll learn to model, optimize, and analyze chemical systems using modern analytics—supported by Northeastern’s experiential learning and co-op opportunities.
The Bachelor of Science in Chemical Engineering and Data Science at Northeastern University offers a unique blend of core chemical engineering principles alongside advanced data science and machine learning techniques. This program is designed to equip students with the skills needed to tackle real-world challenges in process and product development. Through hands-on learning and cooperative education opportunities, students will gain practical experience while honing their analytical abilities.
Your coursework will encompass a combination of foundational chemical engineering classes and specialized data science modules. The program is structured to provide a comprehensive understanding of both fields, enhancing your problem-solving skills in various contexts.
Example modules/courses include:
Capstone experience: Students will typically complete a culminating project or senior-level work that integrates their engineering and data science skills, tailored to their academic plan and departmental requirements.
Admission to the program is primarily based on academic performance and supporting documents. There are no specific GRE or GMAT requirements listed for this program.
Graduates of the Chemical Engineering and Data Science program will be well-prepared for a variety of career paths in industries such as pharmaceuticals, energy, environmental engineering, and technology. With a strong foundation in both chemical engineering and data analytics, you will be equipped to address complex challenges and innovate in your chosen field.
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