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MSc Research Project in Digital Materials Manufacturing
University College London (UCL)London, United Kingdom
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Program Details
- Degree
- Masters
- Major
- Chemical Engineering | Materials Engineering | Manufacturing Technology
- Area of study
- Engineering | Manufacturing and Processing
- Course Language
- English
Program Overview
MSc Research Project in Digital Materials Manufacturing (CENG0070)
Key Information
The MSc Research Project in Digital Materials Manufacturing is a 60-credit module offered by the Faculty of Engineering Sciences, with the Chemical Engineering department as the teaching department. This module is only available to students enrolled on the MSc Digital Manufacturing of Advanced Materials program.
Alternative Credit Options
There are no alternative credit options available for this module.
Description
Aim
The aim of this module is to develop skills in undertaking an individual research project in the area of data-driven materials manufacturing. This includes critical literature survey, research design, execution and management of automated experiments, collection of data for system characterisation, data analysis and modelling, design of innovative and sustainable automated systems, presentation of results, conclusions, and recommendations.
Synopsis
This module is centered around an individual research project supervised by a member of academic staff working in the area of material manufacturing and/or process digitisation. Students select three projects, ranking them in order of preference, from a list of potential research projects. After the project selection deadline, each student is allocated one of the projects based on their preferred choices, taking into account the overall assessment of the project, the student's background, and the teaching load of the supervisors.
All topics covered in the proposed research projects contain elements of accelerated data-driven or computational materials manufacturing, including advanced synthesis or characterisation of materials, automation, systems modelling, and data-driven analysis. An emphasis is made on the seamless integration of experimental and computational components for the design of sustainable automated systems. Industrial partners are invited to provide topics in close collaboration with UCL academics.
Learning Outcomes
- Execute and manage automated experiments for the synthesis and characterisation of advanced materials.
- Proficiently use relevant engineering/mathematical software for data analysis and system modelling.
- Design innovative, sustainable manufacturing systems by integrating software and hardware elements for automated, smart experimentation.
- Critically analyse research results aided by the appropriate use of statistical data analysis and modelling techniques.
- Produce accurate and defensible written and oral reports on the independent research conducted in digital materials manufacturing.
Module Deliveries for 2026/27 Academic Year
The intended teaching term for this module is Terms 3 and the Summer period, and it is classified as a Postgraduate (FHEQ Level 7) module.
Teaching and Assessment
Mode of Study
The mode of study for this module is in-person, with the intended teaching location being UCL East.
Methods of Assessment
The methods of assessment for this module include:
- 50% Dissertations, extended projects, and reports
- 30% Viva or oral presentation
- 20% Other form of assessment
The mark scheme used is numeric marks.
Other Information
The number of students on this module in the previous year was 8, and the module leader is Dr. Solomon Bawa.
About University
UCL is a top-ranked university with life-changing research and a_x000D_
progressive approach to academia, making it different from the rest. At UCL,_x000D_
postgraduate students learn by doing—shaping the world around them with a_x000D_
hands-on approach.
Services
Student services
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- Their Student Support and Wellbeing team of expert wellbeing, disability and mental health staff provide a safe, confidential and non-judgmental space, in which you can discuss any issues that may be affecting your ability to study.
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- A Personal Tutor is on hand to help you settle into UCL through practical guidance and support.
Housing services
UCL provides a range of accommodation for graduate students. Our halls vary in size, facilities and history. Whatever stage you are at and whatever questions you have, the UCL Accommodation team is there to help and get you settled in quickly
Library services
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The libraries are an invaluable resource, find out about the services they provide, when they are open and search the catalogue.ICT services
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