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Artificial Intelligence with a Year in Industry BSc

UCAS code: G702

Key information

Course type:
Single honours
Delivery mode:
Classroom
Study mode:
Full time
Duration:
4 years
Application status:
Open
Start date:
September 2023
Application deadline:
25 January 2023
Apply via UCAS

AI significantly affects people’s lives, and it is encountered in more and more of our daily activities. These include activities such as using smart devices, digital voice assistants, and travel aids, as well as banking online or receiving personalised recommendations about movies to rent. Meanwhile, AI is increasingly reliant on leveraging the widespread availability of (often very large) datasets that encode relationships between data inputs to decision making processes, and the outcome of these processes, so that AI applications can enhance human decision making in a wide variety of everyday tasks (e.g. recommender systems) and specialised tasks (e.g. deciding on legal litigation risks, decisions in business/logistics planning, or decisions based on interpretation of visual data such as diagnostic scans in medicine), as well as AI applications that autonomously make and implement decisions (e.g. robots that need to sense their environment and plan actions). These applications require expertise in a broad range of Artificial Intelligence areas. Our Artificial Intelligence with Year in Industry BSc will allow you to understand the underlying principles of these areas, including: - Foundations of AI (e.g. programming, discrete mathematics, algorithm design) - Data Science and Machine Learning (e.g. natural language processing, human-AI interaction) - Knowledge Representation, Reasoning, and Interactions (e.g. data visualisation, knowledge engineering, formal verification) - Optimisation, Planning and Autonomous Agents (e.g. autonomous robot programming, logic, network optimisation) - Ethics and philosophy of AI (e.g. legal, social, ethical and professional issues in AI and in robotics system development, philosophical work on the impact and on dangers of AI) - AI Engineering (e.g. internet and web systems, cloud-based services, AI security and privacy) It will also provide you with the background knowledge and skills required to become a successful AI professional able to work in a range of exciting roles ranging from big data engineer to robotics engineer. Finding an industry placement will require students to be resourceful and engaged. Our Global Placements team will support you throughout your course with advice and activities to help you discover your options, focus your placement search and take action to achieve the right placement for you. Your placement is required to be a technical role which complements your studies, but you will have a great deal of freedom in what you choose to do. This depends on you reaching a certain grade average and obtaining a suitable placement opportunity.

Key benefits

  • 6th in the UK for Computer Science (QS World Rankings by subject 2022)
  • You'll interact with world-class experts in many exciting areas of AI, including Safe and Trusted AI, Trusted Autonomous Systems, Distributed AI, and Reasoning and Planning.
  • You'll have an option of a year in industry, which will enhance your employability.
  • You'll study a wide-range of innovative modules, covering both the theory and practice of modern AI.
  • Our central London location is close to top, global AI companies, such as Google and Amazon, and gives unparalleled access to leading scientific societies, including the Chartered Institute for IT (BCS) and the Institution of Engineering and Technology (IET).

Employability

There is a widening demand and supply gap for AI skills, with a significant increase in online AI and Data Science vacancies. Many firms that have vacancies for AI roles had at least one vacancy that was difficult to fill. An AI professional needs to exploit a broad range of skills and is likely to conduct their work according to a range of both well-established and cutting-edge roles.

Examples of such roles are data scientist, including big data engineer, legal data scientist, and business data scientist, cloud AI engineer, logistic engineer, negotiation engineer, knowledge/graph engineer, robotics engineer, information retrieval and natural language processing applied scientist, as well as algorithmic impact and responsibility scientist.

In such roles, an AI professional may manage and analyse data of different types using a range of technologies, or extract knowledge of different forms from the data. In addition, they may develop advanced control and coordination mechanisms for robots, or understand the ethical impacts of AI, mitigating risks and ethical harms arising from the deployment of AI. 

Destinations

Recent graduates have found employment within the following job roles and companies:

  • Data Scientist
  • Cloud AI Engineer
  • Logistic Engineer
  • Negotiation Engineer
  • Knowledge/Graph Engineer
  • Robotic Engineer
  • Information retrieval and natural language processing applied Scientist
  • Algorithmic impact and responsibility Scientist

Employability

There is a widening demand and supply gap for AI skills, with a significant increase in online AI and Data Science vacancies. Many firms that have vacancies for AI roles had at least one vacancy that was difficult to fill. An AI professional needs to exploit a broad range of skills and is likely to conduct their work according to a range of both well-established and cutting-edge roles.

Examples of such roles are data scientist, including big data engineer, legal data scientist, and business data scientist, cloud AI engineer, logistic engineer, negotiation engineer, knowledge/graph engineer, robotics engineer, information retrieval and natural language processing applied scientist, as well as algorithmic impact and responsibility scientist.

In such roles, an AI professional may manage and analyse data of different types using a range of technologies, or extract knowledge of different forms from the data. In addition, they may develop advanced control and coordination mechanisms for robots, or understand the ethical impacts of AI, mitigating risks and ethical harms arising from the deployment of AI. 

Destinations

Recent graduates have found employment within the following job roles and companies:

  • Data Scientist
  • Cloud AI Engineer
  • Logistic Engineer
  • Negotiation Engineer
  • Knowledge/Graph Engineer
  • Robotic Engineer
  • Information retrieval and natural language processing applied Scientist
  • Algorithmic impact and responsibility Scientist

Key information

Course type:
Single honours
Delivery mode:
Classroom
Study mode:
Full time
Duration:
4 years
Application status:
Open
Start date:
September 2023
Application deadline:
25 January 2023
Apply via UCAS

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