Undergraduate study

Undergraduate

Computer Science and Artificial Intelligence

Computer Science

Award Course length Course code Typical offer Start date End date
MSci (Hons) DPS 5 years full-time sandwich GGK7 AAA 1 October 2018 21 June 2023
MSci (Hons) 4 years full-time GG4R AAA 1 October 2018 22 June 2022
BSc (Hons) DPS 4 years full-time sandwich GG47 ABB 1 October 2018 22 June 2022
BSc (Hons) 3 years full-time GG4T ABB 1 October 2018 16 June 2021

Top 5

in UK for overall student satisfaction

NSS 2016

99%

of employed graduates in professional or managerial roles

DLHE 2015

£29,678

average starting salary

Computer Science and Artificial Intelligence course overview

Artificial Intelligence (AI) is the science of mimicking human intelligence using computers. The Computer Science and Artificial Intelligence degree course is a computing degree that allows students to specialise in AI through their project work and a number of specialist AI modules.

The Computer Science and Artificial Intelligence course contains broad coverage of all major Computer Science topics as well as specialist modules in artificial intelligence, taught by world leading experts. Our research constantly feeds into our teaching curriculum meaning you will learn cutting edge techniques of this fascinating topic.

The first two years of the Computer Science and Artificial Intelligence course are identical to those of the Computer Science course. This provides sound foundations for the third year when topics such as robotics, intelligent agents, reasoning in uncertain systems, computer vision and neural networks are studied to an advanced level.

Other third year options allow staff to teach to their own particular interests, which enables students to learn about the latest developments in established and emerging areas in the field.

An additional year of professional placement is an available option highly recommended by both the Department and former students.

Flexible learning

You will be learning a balance of theory and practice, meeting both the demands of a rapidly evolving subject and those of employers. In addition to the academic content, emphasis is placed on the development of your personal, managerial and presentation skills.

Upon graduation, you will possess a sound understanding of the fundamentals of computing and a flexible, well-developed approach to problem solving.

We continually monitor course content for quality and make improvements based on feedback from students, senior industrialists and accrediting bodies such as the British Computer Society and the Tech Partnership. Major companies are directly involved in sponsoring our modules, supporting project work and providing guest lectures and prizes.

The MSci degree

The Masters in Science (MSci) degrees provide an ideal preparation for research and development work in industry or for a PhD. They are designed to create leaders in the subject area by giving in-depth experience of cutting edge research.

The final year provides a broad understanding and study of entrepreneurship, leadership and management, together with team working skills. There is also a significant, research based individual project conducted with a member of academic staff.

Industry accreditation

The British Computer Society (BCS) has granted accreditation of this course for the educational requirement for Chartered IT Professional (CITP) registration. This also enables graduates to obtain full professional membership of the BCS (MBCS).

In addition, for MSci courses, accreditation has been granted for the educational requirement for Chartered Engineer (CEng) and Chartered Scientist (CSci) registration.

Modules


A typical course structure is given below. Please note that core subjects and options may vary from year to year.

Year 1

  • Computer Systems
  • Databases
  • Embedded Systems Programming
  • Introduction to Algorithms
  • Logic and Functional Programming
  • Mathematics for Computer Science
  • Object-Oriented Programming
  • Programming for the WWW
  • Server-side Programming
  • Software Engineering 1

Year 2

  • AI Methods
  • Computer Graphics
  • Formal Languages and Theory of Computation
  • Formal Specification
  • Mobile Application Development
  • Operating Systems, Networks and the Internet 1
  • Operating Systems, Networks and the Internet 2
  • Professional Issues in Computing
  • Software Engineering 2
  • Team Projects

Optional placement year

Optional salaried professional placement.

Year 3/4

Compulsory modules:

  • Advanced Artificial Intelligence Systems
  • Agent-Based Systems
  • Computer Vision
  • Computer Science & AI Project
  • Robotics

Optional modules:

  • Algorithm Analysis
  • Human Computer Interaction
  • Cryptography and Network Security
  • E-Business Planning and Marketing
  • Enterprise Resource Planning Systems
  • Data Mining
  • Advanced Networking
  • Computer Animation
  • Business Systems
  • Entrepreneurship and Innovation
  • Culture and Change Management

Year 4/5 MSci

  • Enterprise Technology for Computer Scientists
  • Learning Evaluation in a Specialised Subject
  • Group Project
  • Managing a Project Team
  • Thesis Project

 

Please note: optional modules are subject to availability and timetable permitting.

For indicative information on modular weight, content and assessment type please see module specifications.

 


Assessment

Depending on the nature of the material, some modules are assessed by a mixture of coursework and examination (for example 25% coursework and 75% examination), whilst other modules are assessed by 100% coursework or 100% by examination.

Coursework is based on a variety of tasks including individual essays, projects, laboratory work, contribution in tutorials, group work and presentations.

For an indicative overview of the aims, learning outcomes and structure of this course please see the programme specification.


The information above reflects the currently intended course structure and module details. Updates may be made on an annual basis and revised details will be published through Programme Specifications ahead of each academic year. Please see Terms and Conditions of Study for more information

GGK7 Computer Science and Artificial Intelligence - MSci (Hons) DPS

A-Level
AAA including Mathematics (or AAA plus AS-Level Mathematics at grade A)
IB
37 (6,6,6 HL) including HL Mathematics
BTEC
AA in 2 A-Levels including Mathematics plus D* in BTEC Level 3 National Extended Certificate
GCSE
Minimum 5 GCSEs Grades A*-B (9-6) including Mathematics

GG4R Computer Science and Artificial Intelligence - MSci (Hons)

A-Level
AAA including Mathematics (or AAA plus AS-Level Mathematics at grade A)
IB
37 (6,6,6 HL) including HL Mathematics
BTEC
AA in 2 A-Levels including Mathematics plus D* in BTEC Level 3 National Extended Certificate
GCSE
Minimum 5 GCSEs Grades A*-B (9-6) including Mathematics

GG47 Computer Science and Artificial Intelligence - BSc (Hons) DPS

A-Level
ABB including Mathematics (or ABB plus AS-Level Mathematics at grade A)
IB
34 (6,5,5 HL) including HL Mathematics
BTEC
AB in 2 A-Levels including Mathematics plus D in BTEC Level 3 National Extended Certificate, or B in A-Level Mathematics plus D*D* in BTEC Level 3 National Diploma
GCSE
Minimum 5 GCSEs Grades A*-B (9-6) including Mathematics

GG4T Computer Science and Artificial Intelligence - BSc (Hons)

A-Level
ABB including Mathematics (or ABB plus AS-Level Mathematics at grade A)
IB
34 (6,5,5 HL) including HL Mathematics
BTEC
AB in 2 A-Levels including Mathematics plus D in BTEC Level 3 National Extended Certificate, or B in A-Level Mathematics plus D*D* in BTEC Level 3 National Diploma
GCSE
Minimum 5 GCSEs Grades A*-B (9-6) including Mathematics

Selection

Applicants are usually selected solely on the basis of their UCAS application.  If applicants are made an offer of a place, they will be invited to visit the department giving them the opportunity to meet staff and students, see facilities and get an insight into what it is like to be a student at Loughborough.

Graduate destinations

Graduate destinations include:

  • BAE Systems
  • BT
  • Hewlett Packard
  • IBM
  • Imagination Technologies
  • Jagex Ltd
  • Microsoft
  • Thomson Reuters
  • Urban Science International

Professional placement (sandwich)

An additional professional placement year is available and is highly recommended by both the Department and former students.

Many students in the past have chosen to take this option and have found it a valuable experience that has enhanced their studies and employment opportunities.

Satisfactory completion leads to the additional award of a Diploma in Professional Studies (DPS).

During the placement year, the student is employed in a company and treated as a graduate trainee. Many companies offer regular training opportunities which supplement the course modules, providing experience on a wide range of commercial software and business practice.

Responsibility for finding a suitable placement rests with the student, but assistance is given by the Department’s Professional Placement Tutor who has contacts with a wide range of industrial and commercial organisations.

Many students find employment with IT companies and other major industries, and some placements may be with small establishments, matched on the basis of subject or geographical location.

Our students

Abhishek

Course

Computer Science and Artificial Intelligence

Department

Computer Science

Qualifications

BSc (Hons)

Year of Study

4th

Department / School Key Information Sets

MSci (Hons) DPS 5 years full-time sandwich

UCAS code: GGK7

MSci (Hons) 4 years full-time

UCAS code: GG4R

BSc (Hons) DPS 4 years full-time sandwich

UCAS code: GG47

BSc (Hons) 3 years full-time

UCAS code: GG4T