Computer Science With Year in Industry BSc

   
   
  

Fact file - 2017 entry

UCAS code:G407
Qualification:BSc Hons
Type and duration:4 year UG (year 3 out)
Qualification name:Computer Science with Year in Industry
UCAS code
UCAS code
G407
Qualification
Computer Science with Year in Industry | BSc Hons
Duration
4 years full-time UG
A level offer
AAA or AAB if A levels include computing/computer science
(Please note, A level ICT or IT do not qualify for the lower entry requirements)
Required subjects
5 GCSEs at grade B including maths
IB score
34-32 (5 in maths at Standard/Higher Level or GCSE maths grade B).
Course location
 Jubilee Campus
Course places
Approximately 115 places on all courses in the school except BSc Data Science
School/department
 

Overview

This course is designed to produce high-quality graduates who show independent thought, flexibility and maturity. You will spend your third year working in an industrial placement to expand and refine the skills you have built so far in the course.
Read full overview
This course is designed to produce high-quality graduates who show independent thought, flexibility and maturity, and who command a sound technical knowledge of the broad aspects of computer science. 

All our courses are compliant with the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronic Engineers (IEEE). We are one of the first higher education institutions in the country to be in line with these internationally recognised educational requirements. You will gain an appreciation of current computing practice so that the skills you learn can be applied immediately after graduation. The course also provides an understanding of the nature of computer science as an academic discipline.

Year one 

You will be introduced to the key concepts and tools underpinning modern computer science. You will learn how to program in C, Java and Haskell, study the architecture and applications of computer systems and meet the areas of mathematics you will need later in the course.

Year two 

In this year you will consolidate what you have learnt so far by taking part in a software engineering group project. At the same time, you will study programming and the underlying theory of computation in greater depth and meet new topics, such as networks and the design of large- scale systems. You will select one module each semester from a wide range of options. Among those currently available are modules on Graphical User Interfaces, Image Processing, C++ Programming and Planning Search and Artificial Intelligence Programming.

Year three 

With the assistance of our dedicated team, you will spend your third year working in an industrial placement to expand and refine the skills you have built so far in the course.

Year four

In your final year, whilst selecting the majority of your modules from an extensive list of options, you will undertake modules in Compilers and Computers of the World. The main compulsory element is the individual project. Project topics are agreed in discussion with a supervisor. This will allow you to specialise in an area of interest such as computer vision, mixed reality or artificial intelligence.

 

Entry requirements

 

A levels: AAA or AAB if A levels include computing/computer science

(Please note, A level ICT or IT do not qualify for the lower entry requirements)

Required subjects:  5 GCSEs at grade B including maths

English language requirements

IELTS 6.5 (no less than 6.0 in any element)

Students who require extra support to meet the English language requirements for their academic course can attend a presessional course at the Centre for English Language Education (CELE) to prepare for their future studies. Students who pass at the required level can progress directly to their academic programme without needing to retake IELTS. Please visit the CELE webpages for more information.

Alternative qualifications 

For details see alternative qualifications page

Foundation year - a foundation year is available for all our courses

Flexible admissions policy

We may make some applicants an offer lower than advertised, depending on their personal and educational circumstances.

 
 

Modules

Typical Year One Modules

Compulsory

Programming and Algorithms

The module introduces basic principles of programming and algorithms. It covers fundamental programming constructs, such as types and variables, expressions, control structures, and functions. You'll learn how to design and analyse simple algorithms and data structures that allow efficient storage and manipulation of data. You'll also become familiarwith basic software development methodology. You will spend around six hours per week in lectures, computer classes and tutorials.

 
Computer Fundamentals

This module gives a basic understanding of the fundamental architecture of computers and computer networks. You’ll learn how the simple building blocks of digital logic can be put together in different ways to build an entire computer. You’ll also learn how modern computer systems and networks are constructed of hierarchical layers of functionality which build on and abstract the layers below. You will spend five hours per week in tutorials, lectures and computer classes.

 
Systems and Architecture  

Introducing you to the basic architecture of a computer, this module uses simple C programs to introduce assembly language and binary representations of basic data types, such as integers and floating point numbers. You’ll also cover the principles of the lower level implementation of I/O using polling and interrupts, and the use of exceptions. You’ll spend around five hours per week in tutorials, lectures and computer classes for this module.

 
Mathematics for Computer Scientists

You’ll cover the basic concepts in mathematics which are of relevance to the computer scientists. Topics which will be covered include: logic; sets, functions and relations; graphs; induction, basic probability and statistics; matrices. You’ll spend around four hours per week in lectures and tutorials for this module.

 
Database and Interfaces

Databases are everywhere and we interact with many different databases every day, using the web, using electronic calendars, diaries or timetables, making appointments, searching for contact details, shopping online, looking up directions, and many more things. These databases need to be both easy to use and fast.

This module considers both the structure of databases, including how to make them fast, efficient and reliable, and the appropriate user interfaces which will make them easy to interact with for users. You will start by looking at how to design a database, gaining an understanding of the standard features that management systems provide and how you can best utilise them, then develop an interactive application to access your database. Throughout the lectures and computing sessions you will learn how to design and implement systems using a standard database management system, web technologies and GUI interfaces through practical programming/system examples.

 
Software Engineering  

This module focuses on the fact that programming is only one step of the larger Software Engineering Process. To develop -good- software, you must gather requirements, design it well, plan the development, do the programming, have a testing strategy, test the parts and the product as a whole, and have a maintenance strategy for fixing the things that no one (even the client) imagined were important until it after it was delivered.

Software Engineering is a process that is much more than just programming. You spent 2-3 hours per week discussing the stages of the Software Engineering process in lectures, whilst carrying out activities in labs that help you understand the underlying issues

 
Programming Paradigms

In this module you'll learn the basic principles of the object-oriented and functional approaches to programming, using the languages Java and Haskell. You'll also see how they can be used in practice to write a range of different kinds of programs. You'll spend around five hours per week in lectures and labs for this module.

 
Fundamentals of Artificial Intelligence

Through a two-hour lecture once a week, this module gives you a broad overview of the fundamental theories and techniques of Artificial Intelligence (AI). You’ll explore how computers can produce intelligent behaviour, and will consider topics such as the history of AI, AI search techniques, neural networks, data mining, philosophical and ethical issues, and knowledge representation and reasoning.

 


 

 

Typical Year Two Modules

Compulsory

Algorithm Correctness and Efficiency

This modules covers important aspects of algorithms, namely their correctness and efficiency. To address the former we use a mathematically rigorous approach to formal verification using an interactive proof system. You’ll study topics such as: proofs in propositional logic and predicate logic; classical vs. intuitionistic reasoning; basic operations on types; verification of list based programs; and introduction to program specification and program correctness. To address the issue of efficiency we cover the use of mathematical descriptions of the computational resources needed to support algorithm design decisions. The emphasis is upon understanding data structures and algorithms so as to be able to design and select them appropriately for solving a given problem.

 
Software Engineering Group Project

Working in groups of around five to six people, you’ll be assigned a supervisor who will provide you with a short written description of a computer application to be designed, programmed, and documented during the course of the module. Each group will meet twice a week, once with your supervisor and once without; you’ll also have four introductory one hour lectures.

 
Operating Systems Distributed/ Parallel

This module covers a range of issues relating to operating systems, and distributed and parallel computing. Topics in operating systems include the architecture of operating systems, process and memory management, storage, I/O, and virtualisation. Topics in parallel and distributed computing include parallelism vs concurrency, task and data-parallel based decomposition, parallel architectures, parallel algorithms and programming.

 
Languages and Computability

You'll investigate classes of formal language and the practical uses of this theory, applying this to a series of abstract machines ultimately leading to a discussion on what computation is and what can and cannot be computed. You'll focus in particular on language recognition,  but will study a range of topics including: finite state machines, regular expressions, context-free grammars, Turing machines and Lambda calculus. This module addresses data structures and formal reasoning, and introduces concepts which are important to understand the analysis of algorithms in terms of their complexity. 

 
Software Application Design

This module builds on and further develops basic software design practices. You’ll cover design patterns, data processing, regression testing, networking, and GUI programming. You’ll learn how to read, understand, modify and extend a large piece of software. You’ll become familiar with GUI design guidelines and usability 

 
Artificial Intelligence Methods

This module builds on the first Introduction to Artificial Intelligence module. You will study some of the more important AI topics (e.g. search) and some of the more modern AI techniques (e.g. artificial neural networks). This is a practical module and you will expect to have two hours in lectures and two hours in computer labs per week implementing the ideas in appropriate modern software. 

 


Optional

Graphical User Interfaces

This module will introduce you to programming concepts and structures by considering the Java Swing packages in depth. You’ll explore a wide range of components, and will consider the other APIs, which allows easy incorporation of high-quality 2D graphics, text, and images in applications, and the use of Integrated Development Environments (IDEs), which simplify the construction of graphical user interfaces. You’ll spend around four hours each week in lectures and computer classes.

 
Advanced Functional Programming

Building upon the introductory Functional Programming module in year one, you’ll focus on a number of more advanced topics such as:  programming with effects; reasoning about programs; control flow; advanced libraries; improving efficiency; type systems; and functional pearls. You’ll spend around four hours per week in lectures and computer classes.

 
Introduction to Formal Reasoning

Developing the themes of the year one module Mathematics for Computer Scientists, you’ll be introduced to a mathematically rigorous approach to program construction. You’ll study topics such as: proofs in propositional logic and predicate logic; classical vs. intuitionistic reasoning; basic operations on types; verification of list based programs; and introduction to program specification and program correctness. You’ll spend around five hours per week in lectures, tutorials and computer classes for this module.

 
Introduction to Image Processing

This module introduces the field of digital image processing, a fundamental component of digital photography, television, computer graphics and computer vision. You’ll cover topics including: image processing and its applications; fundamentals of digital images; digital image processing theory and practice; and applications of image processing. You’ll spend around three hours in lectures and computer classes each week for this module.

 
Planning, Search and Artificial Intelligence Programming

You’ll be introduced to Artificial Intelligence (AI) algorithms and programming techniques for search and planning. Topics covered include: classical search; search with non-determinism and partial observability; local search; classical planning; reasoning about actions; planning under uncertainty; conditional planning; planning with time and resources; other typical AI problems and how to implement them in an AI programming language.

 
C++ Programming

You will cover the programming material and concepts necessary to obtain an understanding of the C++ programming language. You will spend around four hours per week in lectures and computer classes and will be expected to take additional time to practice and to produce your coursework.

 
Human Computer Interaction

Through two hours of lectures each week, you’ll be given an overview of the field of Human Computer Interaction, which aims to understand people's interaction with technology and to apply this knowledge in the design of usable interactive computer systems. The module will introduce the concept of usability and will examine different design approaches and evaluation methods.

 
 

Typical Year Four Modules

Compulsory

 

Individual Dissertation Single Honours

Through a one hour lecture and a tutorial with your supervisor each week, you’ll develop your own independent research project and written report. Topics can range from purely theoretical studies to practical work building a system for a third party.

 
Compilers

You’ll examine aspects of language and compiler design by looking at the techniques and tools that are used to construct compilers for high level programming languages. Topics covered include: parsing; types and type systems; run-time organisation; memory management; code generation; and optimisation. You’ll spend around four hours each week in lectures and computer classes. 

 
Computers in the World

The module examines the scope of applications of computers and computing in the world at large from scientific supercomputers, through PCs, tablets, embedded computers, etc. The module covers various topics such as: dependability of computer-based systems and associated risks; legal liability, data protection and intellectual property issues; social and cultural impacts of computing; the portrayal of computers and computing in the popular media and in fiction; ethical issues in computing; and professional issues including the role of professional bodies. You will spend around two hours per week in lectures and workshops for this module.

 


Optional

Automated Decision Support Methodologies

The main aim of this module is to provide a sound understanding of wide range of fundamental concepts, techniques and methods of Operational Research and Artificial Intelligence that can help in design of automated intelligent decision support systems. The module will present a variety of applications from industrial and service sectors. 

 
Computability

You’ll begin by considering the attempts to characterise the problems that can theoretically be solved by physically-possible computational processes. You’ll then consider the area of complexity theory, looking at whether or not problems can be solved under limitations on resources such as time or space. A key topic is an examination of the classes P and NP and the definition of the term NP-complete. You’ll spend around two hours a week in lectures.

 
Software Quality Management

Through a two hour lecture each week, you’ll be introduced to concepts and techniques for software testing and will be given an insight into the use of artificial and computational intelligence for automated software testing. You’ll also review recent industry trends on software quality assurance and testing.

 
Computer Security

Spending four hours a week in lectures and computer classes, you’ll cover the following topics: security of the computer; security of networks; security and the internet; software and hardware security; mobile security; and basic cryptography. 

 
Knowledge Representation and Reasoning
This module examines how knowledge can be represented symbolically and how it can be manipulated in an automated way by reasoning programs. Some of the topics you’ll cover include: first order logic; resolution; description logic; default reasoning; rule-based systems; belief networks and fuzzy logic. You’ll have two hours of lectures each week for this module.
 
Machine Learning

Providing you with an introduction to machine learning, pattern recognition, and data mining techniques, this module will enable you to consider both systems which are able to develop their own rules from trial-and-error experience to solve problems as well as systems that find patterns in data without any supervision. You’ll cover a range of topics including: machine learning foundations; pattern recognition foundations; artificial neural networks; deep learning; applications of machine learning; data mining techniques and evaluating hypotheses. You’ll spend around six hours each week in lectures and computer classes. 

 
 
New Media Design

This is a practical module covering the critical elements of new media design, with a particular focus on its use in the web. Critical elements such as colour, images, audio, video and animation will be introduced and discussed, in addition to broader issues around usability and interaction. Processes to support effective design work will also be considered. You’ll gain hands-on experience of technologies used to manipulate new media in a professional context. Such tools will be put into context with emerging paradigms, including new media for mobile platforms.  

 
Collaboration and Communication Technologies

In this module you’ll consider the design of collaboration and communication technologies used in a variety of different contexts including workplace, domestic and leisure environments. You’ll consider the basic principles of such technologies, explore the technologies from a social perspective, consider their impact on human behaviour and critically reflect on their design from a human-centred perspective. You’ll spend around two hours per week in lectures for this module.

 
Computer Graphics

You’ll examine the principles of 3D computer graphics, focusing on modelling the 3D world on the computer, projecting onto 2D display and rendering 2D display to give it realism. Through two hours per week of lectures and laboratory sessions, you’ll explore various methods and requirements in 3D computer graphics, balancing efficiency and realism. 

 
 
Autonomous Robotic Systems

This module introduces you to the computer science of robotics, giving you an understanding of the hardware and software principles appropriate for control and localisation of autonomous mobile robots. A significant part of the module is laboratory-based, utilising physical robotic hardware to reinforce the theoretical principles covered. Spending around three to four hours each week in lectures and practicals, you’ll cover a range of topics including basic behavioural control architectures, programming of multiple behaviours, capabilities and limitations of sensors and actuators and filtering techniques for robot localisation.

 
Fuzzy Sets and Fuzzy Logic Systems

You’ll review classical Boolean logica and set theory, including the common operations of union, intersection and complement. Fuzzy Logic Systems (FLSs) will be introduced and illustrated in conjunction to examples of real world applications in industrial control and other areas. You’ll spend around four hours each week in lectures and workshops, and will be given the opportunity to design, programme and deploy a fuzzy logic system, providing a tangible real world example of some underlying concepts of FLSs.

 
Collaboration and Communication Technologies Development Project

In this module you are given the opportunity to combine your developing CCT knowledge with your programming abilities. You have the whole semester to build a working collaborative project, optionally in a team, and produce a report on how it supports collaboration according to CCT theory. The primary focus is on building a working application, and so existing strong programming ability is required. 

 

 

 

The modules we offer are inspired by the research interests of our staff and as a result may change for reasons of, for example, research developments or legislation changes. This list is an example of typical modules we offer, not a definitive list.

 
 

Careers

You will graduate with: general knowledge and understanding of computers and computer science; specialised knowledge of the theoretical foundations of computer science and other selected topics within the discipline; experience in a variety of techniques and tools needed to solve the different types of problems encountered in the discipline; and an understanding of the professional, legal and ethical aspects of the discipline.

Average starting salary and career progression

In 2014, 96% of first-degree graduates in the School of Computer Science who were available for employment had secured work or further study within six months of graduation. The average starting salary was £25,852 with the highest being £45,000.*

*Known destinations of full-time home and EU first-degree graduates, 2013/14.

Careers Support and Advice

Studying for a degree at The University of Nottingham will provide you with the type of skills and experiences that will prove invaluable in any career, whichever direction you decide to take. Throughout your time with us, our Careers and Employability Service can work with you to improve your employability skills even further; assisting with job or course applications, searching for appropriate work experience placements and hosting events to bring you closer to a wide range of prospective employers.

Have a look at our Careers page for an overview of all the employability support and opportunities that we provide to current students.  

 
 

Fees and funding

Scholarships and bursaries

The University of Nottingham offers a wide range of bursaries and scholarships. These funds can provide you with an additional source of non-repayable financial help.

Home students*

There are several types of bursary and scholarship on offer. Download our funding guide or visit our financial support pages to find out more about tuition fees, loans, budgeting and sources of funding.

To be eligible to apply for most of these funds you must be liable for the £9,000 tuition fee and not be in receipt of a bursary from outside the University.

* A 'home' student is one who meets certain UK residence criteria. These are the same criteria as apply to eligibility for home funding from Student Finance.

International/EU students

The University of Nottingham provides information and advice on financing your degree and managing your finances as an international student. The International Office offers a range of High Achiever Prizes for students from selected schools and colleges to help with the cost of tuition fees.  
 
 

Key Information Sets (KIS)

Key Information Sets (KIS)

KIS is an initiative that the government has introduced to allow you to compare different courses and universities.

 

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Disclaimer
This online prospectus has been drafted in advance of the academic year to which it applies. Every effort has been made to ensure that the information is accurate at the time of publishing, but changes (for example to course content) are likely to occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for the course where there has been an interval between you reading this website and applying.

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