Artificial Intelligence BSc at De Montfort University is designed for those who want to study an exciting combination of computer science, artificial intelligence and robotics and develop the theoretical knowledge and practical skills to provide intelligent solutions for commerce and industry. This course gives you a detailed understanding of artificial intelligence concepts and techniques, and the ability to apply this knowledge to a variety of problems and subject areas. It is taught by experienced staff from our Centre for Computational Intelligence, an internationally recognised research centre that conducts industry relevant research into intelligent systems and provides high quality solutions to real-world decision issues. As part of a group you might have the opportunity to create your own robot project with a chance to take it to the Robot Challenge in Vienna. You will learn to develop basic hardware and software models and programs. You will also use artificial intelligence code that allows you to accomplish various tasks, including controlling advanced mobile robots in our purpose-built laboratory. 97.3% of DMU graduates from summer 2017 are in work or further study after graduating according to the Destinations of Leavers from Higher Education (DLHE) 2016-17 report.
Course Details - Modules
First year
Core modules:
• Computing, Ethics, Law and Portfolio
• Programming C++
• Elements of Computing
• Computational Modelling
Second year
Core modules:
• Object Oriented Design and Development with C++
• Mechanics and Artificial Intelligence for Simulation
• Introduction to Artificial Intelligence and Mobile Robotics
Optional modules:
• Agile Methods and Development
Third year
Core modules:
• Fuzzy logic and Knowledge Based Systems
• Mobile Robotics
• Computing Project
Optional modules:
• Systems Building: Methods and Management
• Data Mining
• Multi-service Networks
• Telematics
• Privacy and Data Protection
• Rigorous Systems
• Systems Integration
• Computer Games Programming
• Secure Web Application Development
Course Details – Assessment Method
The course is taught by experienced researchers in artificial intelligence and computer sciences from our Centre for Computational Intelligence (CCI), an internationally recognised research centre that conducts industry relevant research into intelligent systems, and provides high-quality solutions to real-world issues. Due to the nature of robotics, in particular, and intelligent systems, you will meet with researchers with a diverse background ranging from theoretical computer science, to computational mathematics, and electronics. This will give you a versatile background which will allow you to appreciate the complexity of intelligent systems and find 'your way' in a professional career.
Furthermore, the wide selection of optional modules will allow you to realise, while you are studying, you subject preferences and inclinations and follow them. You will be able to choose the study plan and shape your professional background by emphasising the focus of your studies on programming, or on theoretical artificial intelligence, or applied robotics.
At the end of the third year of study, you can choose to graduate with a BSc (Hons), or continue your study with the integrated master’s MComp in Intelligent Systems, which takes an additional year (subject to successful completion of the BSc at 2:2 or above).
Teaching methods include lectures, tutorials and laboratory work. You will also experience collaborative and group-based learning, supervised project work and independent study.
You will normally attend around 12-16 hours of timetabled taught sessions each week, and can expect to undertake at least 24 further hours of directed independent study and assignments as required.
Assessment has been designed to match specific modules and will include timed tests, portfolios of work, laboratory exercises, written and oral examinations, individual and group work, project work, reports and presentations.
Course Details – Professional Bodies
Professional Bodies are not listed for this Course.
How to Apply
26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application Codes
Course code:
I270
Institution code:
D26
Campus Name:
Leicester Campus
Campus code:
Points of Entry
The following entry points are available for this course:
Year 1
Entry Requirements for Advanced Entry (Year 2 and Beyond)
Entry Requirements for Advanced Entry are not listed for this Course.
International applicants
Standard Qualification Requirements
from at least 2 A-Levels
Five GCSEs A*-C (9-4) including English Language and Mathematics or equivalent.
Please click the following link to find out more about qualification requirements for this course
Minimum Qualification Requirements
Minimum Further Information are not listed for this Course.
English language requirements
Test
Grade
AdditionalDetails
English Language Entry Requirement Information are not listed for this Course.
Unistats information
Student satisfaction :
75%
Employment after 15 months (Most common jobs):
65%
Go onto work and study:
85%
Fees and funding
England
9250.0
Year 1
Northern Ireland
9250.0
Year 1
Scotland
9250.0
Year 1
Wales
9250.0
Year 1
Channel Islands
9250.0
Year 1
Republic of Ireland
9250.0
Year 1
EU
14750.0
Year 1
International
14750.0
Year 1
Additional Fee Information
Please note that fees for subsequent years of study for continuing students are subject to an annual review. Any increase in fee will be in line with RPI-X (linked to the retail price index) and the fee cap set by the Government.
Provider information
The Gateway
Address2 are not listed for this Course.
Address3 are not listed for this Course.
Leicester
LE1 9BH
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