Overview
The Master of Science in Data Science for Chemical Engineering and Materials Science is a pioneering degree that merges the disciplines of chemical engineering and materials science with data science. This innovative programme prepares graduates to excel in industries increasingly reliant on data-driven decision-making and digital technologies. The curriculum is crafted to provide a robust foundation in statistical and data analysis, machine learning, and optimisation techniques, tailored specifically for challenges in chemical, biological, and materials science engineering.
Why Data Science for Chemical Engineering and Materials Science at the University of Minnesota?The University of Minnesota is recognised for its commitment to interdisciplinary education and research. The programme stands out as the first joint degree from the Department of Chemical Engineering and Materials Science, ensuring that students receive comprehensive training that is in high demand across various sectors. Collaborations with the Department of Computer Science and Engineering and the School of Statistics enhance the learning experience, providing access to cutting-edge resources and expertise.
Tuition Fee BreakdownThe tuition fees for the M.Sc. in Data Science for Chemical Engineering and Materials Science are as follows:
- International Fee: USD 14,790 per semester
- National Fee: USD 14,790 per semester
- Local Fee: USD 9,558 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe programme consists of a total of 30 credits, which can be completed in a year for full-time students. The structure includes:
- 9 credits from Chemical Engineering & Materials Science computational courses
- 9 credits (minimum) from Computer Science & Engineering or Statistics courses
- The remaining credits from elective courses, which cover topics such as artificial intelligence, automation and robotics, data analysis, business analytics, and control and optimisation.
Students have the opportunity to engage in a capstone project, which allows them to collaborate with faculty from CEMS and potentially industry partners. This hands-on experience is designed to enhance their practical skills and prepare them for the workforce.
Careers with Data Science for Chemical Engineering and Materials ScienceGraduates of this programme are well-equipped to pursue careers in various sectors, including chemical, biotechnology, and materials industries. Alumni have found positions in renowned companies, applying their skills in roles that require expertise in data analysis and computational methods. The interdisciplinary nature of the programme ensures that graduates are versatile and can adapt to numerous job functions within these fields.
Programme Structure
Courses include:
- Machine Learning Fundamentals
- Applied Regression Analysis
- Optimization in Chemical and Energy Systems Engineering
- Biochemical Engineering
- Physical and Chemical Thermodynamics
- Systems Analysis of Biological Processes
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Minneapolis, United States
Disciplines
Chemical Engineering Materials Science Data Science & Big Data View 231 other Masters in Materials Science in United StatesWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Baccalaureate degree in Chemical Engineering, Materials Science & Engineering, or related field
- Cumulative GPA of 3.50 or higher at time of application
- Coursework must include:
- Two semesters of calculus (Math 1371 and 1372 or 1271 and 1272 at the University of Minnesota - Twin Cities)
- Multivariable Calculus (Math 2374 or 2263 at the University of Minnesota - Twin Cities)
- Linear Algebra/Differential Equations (Math 2373 or 2243 at the University of Minnesota - Twin Cities)
- Statistics
- Programming in languages such as C++ or Python
- Algorithms and Data Structures
- Curriculum Vitae or Resumé
- Statement of Purpose
- Diversity Statement
- Transcripts
- 3 Letters of Recommendation
- TOEFL (for international students)
Tuition Fees
-
International Applies to you
Applies to youNon-residents33552 USD / year≈ 33552 USD / year - Out-of-State33552 USD / year≈ 33552 USD / year
-
Domestic
Applies to youIn-State21264 USD / year≈ 21264 USD / year
Living costs
Minneapolis
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science for Chemical Engineering and Materials Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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