(Award available for year: Master of Science)
Subject Specific Learning Outcomes
1. Demonstrate a foundational understanding of digital and automated chemistry techniques, including knowledge of reactor and process analytical technologies, and apply this understanding to design experimental platforms tailored to diverse applications.
2. Understand and give examples of how data science techniques can be employed to solve problems in chemical research.
3. Develop the ability to design experiments and model data to maximise chemical understanding.
4. Appreciate the use of emerging computational tools, including artificial intelligence and machine learning, to innovate and optimise chemical processes.
5. Be able to set up and use various programming environments to execute code for data handling, manipulation, and processing.
6. Present complex data using a variety of graphical methods to illustrate trends, distributions, and statistical outcomes and communicate digital chemistry results effectively to peers.
7. Deploy knowledge of digital chemistry to propose the development of novel technologies or practices, while evaluating recent technical literature for advancements in the field.
Skills Learning Outcomes
1. Writing code and applying computational techniques to analyse scientific data
2. Data visualisation for presenting results to non-expert audiences
3. Experimental design for data collection
4. Data handling and modelling for prediction
5. Critical thinking in evaluating the new digital and automated technologies reported in the literature
6. Creativity in designing digital chemistry approaches to solve real-world challenges
7. Setting personal objectives and professional development goals
8. Project planning and time management
9. Working effectively in a team
10. Written communication of digital and automated chemistry research
We aim to reproduce the realistic demand of professionally working in digital and automated chemistry and equip students with employable skills. Hence, we selected a wide range of assessment formats where students can draw upon wider resources to solve problems. They will be suitable for demonstrating an understanding of digital chemistry skills.
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