Artificial Intelligence BSc

King's College London

United Kingdom, London

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King's College London

United Kingdom , London

Key Facts

Program Level

Bachelor

Study Type

Full Time

Delivery

On Campus

Course Code

G700

Campuses

Main Site

Program Language

English

Start & Deadlines

Next Intake DeadlinesSeptember-2023 25-Jan-2023

Apply to this program

Go to the official application for the university

Duration 3 year(s)

Tuition Fee

GBP 31,260 / year

Apply Date 25-Jan-2023

Next Intake September-2023

Artificial Intelligence BSc

About

AI significantly affects peoples 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 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. You will also have the opportunity to transfer to the study abroad pathway and spend your third year at a partner institution before returning to Kings for your final year. This depends on you reaching a certain grade average and being accepted by a Partner University.

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 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).

Requirements

Entry Requirements

Certificate of General Secondary Education will not be considered for direct entry - study our International Foundation Programme instead. Please note: students completing King's International Foundation programme will not be able to progress onto our Dentistry programmes.

English Program Requirements

To study at King's, it is essential that you can communicate effectively in English and are able to do so in an academic environment. You are usually required to provide certification of your competence in English before starting your studies.

Career

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.