Overview

The Artificial Intelligence Enabled Healthcare programme at University College London (UCL) is embedded within a NHS setting, and should appeal to students keen to develop clinical knowledge and algorithmic/ programming expertise.

Artificial Intelligence (AI) has the potential to transform health and healthcare systems globally, yet few individuals have the required skills and training. To address this challenge, our Centre For Doctoral Training (CDT) in AI-Enabled Healthcare Systems will create a unique interdisciplinary environment to train the brightest and best healthcare artificial intelligence scientists and innovators of the future.

The foundation of your career

The CDT is a new programme. As such, we do not yet have any graduates from the four-year programme. Previous students from our experienced CDT supervisors have tackled projects in AI and healthcare and gone on to successful careers in academia and industry.

Employability

The distinctive characteristics of our programme allow us to produce graduates who are prepared to:

engineer adaptive and responsive solutions that use AI to deal with complexity;

innovate across all levels of care, from community services to specialist hospitals;

be comfortable working with patients and professionals, and responding to their input;

appreciate the importance of addressing health needs rather than creating new demand.

Programme Structure

Courses include:

Principles of Health Data Science

Data Methods for Health Research

Advanced Statistics for Records Research

Machine Learning in Healthcare and Biomedicine

Programming with Python for Health Research

Key information

Duration

Full-time
- 12 months
Part-time
- 24 months

Start dates & application deadlines

Starting 2024-09-25 00:00:00
- Apply before 2024-02-08 00:00:00

Language

English

TOEFL^® IBT

96

Delivered

On Campus

Disciplines

Information Technology (IT) Health Informatics Artificial Intelligence View 32 other PhDs in Information Technology (IT) in United Kingdom

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

TOEFL^® IBT

96

Other requirements

General requirements

A minimum of an upper second class honours undergraduate degree, or a Master's degree in a relevant discipline (or equivalent international qualifications or experience). Our preferred subject areas are Physical Sciences (Computer Science, Engineering, Mathematics and Physics) or Clinical / Biomedical Science.

Applicants with a clinical background or degree in Biomedical Science must be able to demonstrate strong computational skills.

You must be able to demonstrate an interest in creating, developing or evaluating AI-enabled Healthcare systems.

Tuition Fee

To always see correct tuition fees

International

29000 GBP/year

Tuition Fee

Based on the tuition of 29000 GBP per year during 12 months.
National

5860 GBP/year

Tuition Fee

Based on the tuition of 5860 GBP per year during 12 months.

Part timeUK: £2,930Overseas: £14,500

Living costs for London

1137 - 2157 GBP /month

Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Student Grant Deadline: 30 June 2020

Apply and be among one of the 20 students to win €1000.

Studyportals Student Grant Deadline: 30 June 2020

Apply and be among one of the 20 students to win €1000.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

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Scholarships Information

Below you will find PhD's scholarship opportunities for Artificial Intelligence Enabled Healthcare.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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