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Full time | University College Birmingham | 1.5 years | 17-FEB-25

Study mode

Full time

Duration

1.5 years

Start date

17-FEB-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Computer Science

Course type

Taught

Course Summary

From accessing the internet to using apps and engaging in digital communications, our business and personal lives are now hugely reliant on technology, with the tech industry now estimated to make up over a third of the total world market. If you want to advance in this ever-expanding field, our Computer Science postgraduate course will put you in prime position to pursue a dynamic career in the digital world.

Our computing master’s course explores an array of current core topics for working in the IT industry. You will explore areas including artificial intelligence (AI) and machine learning, web engineering, object-oriented programming, databases, networks and human-computer interaction (HCI). In the process, you will also learn to develop and apply vital problem-solving attributes, behaviours and competencies towards planning and implementing IT solutions.

Opportunities to gain practical skills and experience are built into the course, from studying in our cutting-edge Cyber Security Lab and other IT facilities on campus to undertaking an optional 12-week industry placement. By completing the course, you can open the doors to careers in anything from software and web development to cyber security, systems analysis or IT project management, opening up a wealth of possibilities for your future in this field..

Modules

This module will introduce you to the fundamental understanding of core artificial intelligence (AI) concepts and machine learning ideas. It explores various AI concepts such as problem-solving (problem representation, uninformed and informed search), knowledge representation (logic-based languages, e.g. description logic, ontologies and the semantic web) and machine learning. This module will further cover the types of learning problems (classification, regression, clustering etc.) and the taxonomy of machine learning algorithm topics such as Bayesian networks, decision tree learning, support vector machines, supervised, unsupervised and reinforcement learning. You will learn how to apply these methods to real-life problems.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£8,750

International fees
Course fees for EU and international students

For this course (per year)

£15,000

Entry requirements

MSc Computer Science – A grade classification of 2:2 is required, or international equivalent.PGDip Computer Science – A grade classification of third-class is required, or international equivalent. There are no subject pre-requisites for this programme.