Science & Engineering two-semester programme

In this module you will familiarise yourself with a range of academic texts relevant to your module choices. You will learn how to critically evaluate sources, use existing knowledge to understand context and references.

You will learn to relate information to lectures, other texts and seminar content, and will research unknown textual references including authors, places, theories and historic references. You will also analyse language to understand the purpose and bias in a text and discriminate between fact and opinion. You will take on different roles each week to analyse the texts, then write a critical analysis and evaluation of each text.

The analysis of large, unstructured data sets (sometimes called “Big Data”) is currently revolutionising the way we use all the information available to discover trends and solve problems in many areas, including engineering. In this module you will use industry standard tools such as MATLAB and R to apply some of the latest data analysis techniques including machine learning and genetic algorithms. You will use your results to create and test software models, presenting your solutions to a professional audience. The skills you practise in the module will be very useful to you in your Masters course and beyond, whether you study computer science or engineering.

This module is only available for the January start date.

This module is in two parts. In the first six weeks you will learn how certain electronic components work and how they are used in practical electronic circuits. Then you will work in teams to build a prototype circuit using computer aided design equipment, test it and record results. In the second six weeks you will acquire mechanical engineering knowledge in order to build and test a prototype of a mechanical device.

This module is only available for the January start date.

This module will help to prepare you for entry into a Masters degree in computing or engineering and will help to build your confidence in using a range of mathematical tools and techniques relevant to your Masters degree. The module will start with functions, relations, scalars, vectors and calculus leading onto matrices and first and second order differential equations. The module will also include probability distributions, logic and proof, set theory and complex numbers. Throughout the module you will develop your ability to use mathematical tools and techniques and apply them in computing and engineering problem-solving and to communicate your solutions effectively.

This module is only available for the January start date.

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This module will help to prepare you for entry into a Masters degree in life sciences or pharmacy and will help to build your confidence in using a range of mathematical and statistical tools and techniques relevant to your Masters degree. The module will start with the language of mathematics, algebra, logarithms, and calculus followed by statistics including hypothesis testing, probability distributions and correlation and regression. You will gain confidence in using qualitative and statistical tools critically to analyse data in the context of life sciences and pharmacy research questions.

This module is only available for the January start date.

During this module you will develop valuable career skills that will give you an advantage in today’s competitive graduate employment market. These behaviours include:

• leading and deciding
• supporting and co-operating
• interacting and presenting
• analysing and interpreting
• creating and conceptualising
• organising and executing
• adapting and coping
• enterprising and performing

You will be given the opportunity to apply your understanding through experiential workshops so you can begin to develop the behaviours that are relevant to your chosen career path. You will develop your ability to undertake self-reflection so that you can evaluate your own personal development.

This module gives you the opportunity to carry out an in-depth study on a topic relevant to the Masters degree you intend to study. You will be supervised by an expert in the field of study, who will assist you in deciding the nature and content of your research, and guide you to produce and present your findings in an appropriate academic style. You will gain a more advanced knowledge and a deeper understanding of the subject you want to study and also improve your research, communication and study skills. This combination will put you in a good position to achieve well on your degree and beyond.

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You will work as a team of computer scientists and engineers to create hardware models that solve two problems by programming a single-board microcontroller like the Arduino. In the first problem, you will need to use a range of sensors and actuators to simulate a complex system like an intruder alarm system or a traffic light junction. In the second problem, you will develop an autonomous robot that uses artificial intelligence to make decisions in order to achieve a goal. You will have the opportunity to enhance the design and programming skills that you have acquired in your previous degree.

This module will introduce you to a selection of cutting-edge techniques used in life sciences and pharmacy while guiding you to evaluate the applications of these techniques in different areas of research within your own discipline. As part of this module you are expected to attend a seminar series at the university. These seminars will allow you to gain first-hand insight into the nature of scientific research from researchers actively involved in current research. The aim of this module is to enable you to critically evaluate and interpret this knowledge to help solve research problems in your chosen area of study.

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This module will provide you with thorough training in the language and related academic skills which will enable you to achieve your academic potential at University. These skills include the processes of academic writing, effective and extensive reading strategies, effective participation in seminars and delivery of presentations, and listening to and recording information effectively from lectures. You will also develop the accuracy and range of written and spoken language required to use language effectively and appropriately, with clarity and confidence in an academic context.