Applied Computer Science and Artificial Intelligence (Taught)

Computer science is the foundation of many exciting and cutting-edge topics, technologies and applications. This covers AI, Big Data, and Cybersecurity, which span almost every aspect of our lives; from smartphone app development, to the self-driving assistance that revolutionises the safety and efficiency of our transport systems.

Due to the pandemic, computer-related skills have become more and more important with the requirements of working remotely. Converting to Computer Science could develop your problem-solving and practical skills. You will also establish specialist knowledge on tools and techniques for creating intelligent algorithms and software.

On this conversion course, you will benefit from over 50 years of academic experience in computer science. You will also learn how to integrate a diverse set of skills from a variety of topics into real-world applications, through our industry-focused curriculum.

Combining computer science with subject knowledge from your first degree will make you a unique, highly employable graduate.

You will study topics such as:

• programming

• applied machine learning

• big data strategy

• access to Amazon’s AWS programme

• machine learning

• networks

• intelligent systems

You will be challenged to combine and apply these topics on practical projects with career-launching outcomes. As an extension, the delivered computer science principle will also support social science-relevant topics including ethics, social enterprise or social justice.

Course Modules

Big Data Visualisation  (20 credits, core) |

MSc Group Project  (20 credits, core) |

Advanced Topics in AI and Digital Healthcare (20 credits, core) |

Dissertation (60 credits, core) |

Software Development (20 credits, core) |

Applied Machine learning and Big Data Strategy (20 credits, optional) |

Business System Security (20 credits, optional) |

Statistical Applications of Industrial Big Data (20 credits, optional) |

Industrial Big Data Analysis and Mining (20 credits, optional) |

Cloud AI (20 credits, optional) |