The MSc in Machine Learning and Process Systems Engineering, hosted by the Sargent Centre for Process Systems Engineering, offers advanced training in computational tools and digital technologies applied to chemical and biochemical systems. The program emphasizes developing coding proficiency and mathematical understanding relevant to machine learning and systems engineering, enabling students to address real-world chemical engineering challenges through innovative digital solutions. Graduates will enhance their technical expertise and employability in the evolving field of process systems engineering.
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The MSc in Machine Learning and Process Systems Engineering, hosted by the Sargent Centre for Process Systems Engineering, offers advanced training in computational tools and digital technologies applied to chemical and biochemical systems. The program emphasizes developing coding proficiency and mathematical understanding relevant to machine learning and systems engineering, enabling students to address real-world chemical engineering challenges through innovative digital solutions. Graduates will enhance their technical expertise and employability in the evolving field of process systems engineering.
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400 Students
AI/ML, Systems, Theory, Human-Computer Interaction
Access to cutting-edge research labs and industry partnerships
No Admission Requirement Available.
No Application Start time & Deadline Available
September 2026
["Optional modules", "Research project", "Core modules", "You'll study all of these core modules.", "Core modules", "Advanced Process Operations", "Learn how to formulate, solve and interpret meaningful optimisation problems, embedding dynamic systems.", "Advanced Optimisation for Chemical Engineering", "Learn about state-of-the-art optimisation-based techniques for process synthesis, process design and molecular design, with a particular focus on mathematical programming.", "Dynamic Behaviour in Process Systems"]
No academic requirements found.
No English language requirements found.
Applicants must meet specific entry criteria, including relevant academic qualifications, a compelling personal statement, and references. Additional requirements may include standardized tests such as the Engineering and Science Admissions Test (ESAT), Test of Mathematics for University Admissions (TMUA), or the University Clinical Aptitude Test (UCAT). Contextual admissions may be available for eligible candidates, and applicants should review specific deadlines for application submission.
₹23,15,778/Year
Annual Fee
12 months
Total Duration
No Living costs available.
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Various benefits
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21000 GBP
Deadline
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1250 USD
Deadline
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Various benefits
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Various benefits
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2000 USD
Deadline
15 Apr 2025
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Amount
300 EUR
Deadline
Anytime
No Eligibility Requirements Available
No Application Steps Available
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