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Artificial Intelligence - MSc

Different course options

Study mode

Full time

Duration

18 months

Start date

23-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai)

Course type

Taught

Course Summary

This course will create graduates with a sound understanding of the theory and practice of AI in industry. As a conversion course we will assume all students are starting fresh with no experience of computer programming and little experience of using mathematics or statistics in their undergraduate programmes or in work.

What's covered in the course?

We will begin by creating a foundation in programming and mathematics upon which we will build the expertise in several key areas of artificial intelligence, going from your first Python code and basic algebra right through to Deep Learning. The core applied areas of data science that will be taught will include:

Data Visualisation and Interpretation - Analysis that can’t be properly interpreted, explained and understood is a waste of time from a commercial point-of-view. We will teach you how to generate attractive and interpretable visualisations and tell the story of whatever data you’re working with to a range of audiences.
Image Analysis - Machine learning has shown incredible results recently in understanding the themes of images and video which are being applied in a range of commercial settings; from security and driverless cars, to online clothes shopping.
Natural Language Processing - Being able to understand speech and text is one of the cornerstones of artificial intelligence systems. Chatbots built on AI are appearing all over the internet, but more than this technology giants are searching for ways that machines can have detailed conversations with one-another and to be able to read and understand text documents.
Time Series - Dealing with dynamic data is vital to AI systems in finance, AI and defence; whether predicting the future of stock prices to predicting patient outcomes in ICU and how a virus outbreak will permeate through a population.

Enhancing your employability skills

We know that employers are looking for graduates who have a good balance between in-depth academic knowledge and technical and practical expertise, which is why our course is geared towards employability.

Modules

Artificial Intelligence (AI) is a core component of computer science, aiming at developing intelligent agents that mimic humans cognitive capability in learning, reasoning, and problem-solving. As a branch of AI, machine learning (ML) allows to learn and adapt (from examples), rather than being explicitly programmed for a particular outcome. This module will offer you the statistical grounding required by data scientists to construct and evaluate the effectiveness of AI systems. Probability theory and statistical evaluation will lay the foundations to be used in a range of real-world scenarios. Standard machine learning techniques for regression, clustering and classification will be covered in this module. You will develop the practical skills needed for applied machine learning including the use of existing tools and techniques needed to solve industry-standard problems based on use cases extracted from real domains.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£11,550

International fees
Course fees for EU and international students

For this course (per year)

£19,485

Entry requirements

2:2 honours degree or higher in any discipline or 3+ years professional work experience(standard definition any role which has required you to work & interact with a range of people requiring a regular element of problem-solving)