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BSc(Hons)
Computing

Are you interested in becoming a software developer? There is an international, as well as national, shortage of developers and an ongoing need for excellent computing graduates with the skills to approach careers requiring excellent programming skills, including (but not limited to) specialist software developers, web front- and back-end developers, app developers, and internet-of-things developers.

These acquisitions of these 6 skills enable graduates to pursue careers, both nationally and internationally, including:

  • General developer
  • Web back- and front-end developer
  • Mobile developer
  • IoT / pervasive developer
  • Systems analyst
  • IT support / Sysadmin
  • Quality assurance / Tester
  • UX designer

Degree highlights include:

  • Cutting edge degree
  • Teaches the tools, techniques and skills demanded by industry using state-of-art hardware and software
  • Internationally focused

Modules

Semester I

1. Programming and Algorithms

Introduction to programming, algorithms, data structures, testing, and version control.
Tools used: Python, Git

2. Software Design

Introduction to principles of good software design. Introduces various software project management approaches used in industry.
Agile Scrum, Lean, Kanban, XP, Design Principles, Design Patterns, MVC.

3. Mathematics for Computer Science

Propositional logic and induction, Sets, Functions, Relations, Number systems, Graphs, Networks, Sorting and Packing algorithms.

4. Computing ALL Project 1

Students will develop a range of high-quality software with application of good programming practices, testing and version control. Students learn working in team using Agile methodology, time management, research, development, write, present ideas, and critical reflection skills.
Tools used: Python, Git, GitHub, Trello

Semester II

1. Object Oriented Programming

Introduction to object-oriented programming techniques and designs. Data structures, Abstract data types, debugging, profiling, testing and version control.
Tools used: Java, Junit, Git, UML

 2. Computer Architecture and Networks

Computer hardware, CPU architecture, memory devices, logic gates, CPU instruction sets, Parallel processing, Networking, OSI model, TCP/IP model, Protocols, Mobile computing.
Tools used: intel x86 CPU, Cisco Packet Tracer, etc.

3. Database Systems

Relational databases, Normalisation, ER diagrams, document-based approaches, SQL, NoSQL, Data visualisation using R or Python.

Tools used: MySQL server, MSSQL Server, Python matplotlib, R, RStudio

 

4. Computing ALL Project 2

Students will develop a range of high-quality software with web capabilities, testing and version control. Students learn working in team using agile methodology, time management, research, development, write, present ideas, and critical reflection skills.
Tools used: Java, JSP, Servlets, Git, GitHub, Trello, MySQL server, Apache Tomcat

5. Creative Thinking for Business

Identifying business opportunities, understanding of business models, creative problem solving, developing a creative culture.

Semester I

1. Web Development

Full-stack web application development, Networking concepts including server, client, and web protocols, develop secure dynamic web server, Client-side scripting, Databases.
Tools used: Python Django, Flask, Jinja 2 templates, MySQL server, JavaScript, HTML, CSS, Git, etc.

2. Programming for Developers

Advanced data structures like heap, graph, tree, hash tables. Advanced algorithms like greedy, heuristic, backtracking, divide and conquer. Advanced programming with multi-threading, lambda expression, functional programming, and design patterns. Critical analysis on space/time complexity and performance of various algorithms.
Tools used: Java

3. Software Development

Software development models: Waterfall, Spiral, V-model, Agile scrum, Kanban, Lean, etc. Requirements engineering, Behaviour-driven development (BDD), Test-driven development (TDD), Software architectural patterns, design principles, design patterns, CI/CD pipeline.
Tools used: Java, Spring, Hibernate, MySQL server, HTML, CSS, JavaScript, Git, GitHub, etc.

 

Semester II

1. People and Computing

User interface design, usability, computer law, copyrights, IP, data protection, professional ethics.
Tools used: Paper prototyping, Figma, Wizard of Oz, etc.

2. Enterprise Project

Working in team, System development using agile methodologies, application of professional and industry standard practices.
Tools used: IoT sensors and actuators, automation, Arduino, Raspberry PI, etc.

3. Data Science for Developers

Data mining, big data, Relational databases, NoSQL databases, Statistical analysis, Probabilities, Map/Reduce, Hadoop, Data visualisation and analytics.
Tools used: Python, R, MySQL, MongoDB, Graph DB, Cassandra DB, NumPy, matplotlib, Weka, etc.

4. Be Your Own Boss

Feasibility study of a new business, market research, competitor analysis, developing financial planning, developing entrepreneurial mind-set and skills, business model development.

Semester I

1. Computing Project Preparation

Academic research preparation, research methodologies, project planning, literature review, ethics approval process, individual project proposal.
Tools used: Scopus, Science Direct, Google Scholar, RefWorks, Locate, etc.

2. Web API Development

Design and develop public RESTful Web API, and interactive web client to consume the prepared web API. Web API security and authentication, OpenSSL, client libraries, version control, automated testing, call-backs, functional programming.
Tools Used: ReactJS, Angular JS, Vue JS, JavaScript, NodeJS, Express JS, MongoDB, etc.

3. Mobile Application Development

Design and develop mobile applications, implementation of security policies, authentication, data security, privacy, use of cloud computing for the mobile applications. Material design, common design patterns, use of third-party packages.
Tools used: Flutter, Swift, Java, Kotlin, OpenSSL, SSL certificates, automated testing, version control.

4. Design Thinking and Innovation

Entrepreneurship and design thinking, application of design thinking to business scenarios. Innovate new business ventures and application of business model in practice.

 

Semester II

1. UX Design

Design of effective user interfaces, user centred design process, prototypes, development of product level GUI, evaluation of effectiveness of user experiences on the developed GUIs.
Tools used: Paper prototyping, UCD, Figma, Wizard of Oz

2. Security

Defensive programming, Cryptography, Public-key infrastructure, Secure signature, certification, SSL, HTTPS, file encryption, hmac, session IDs, hashing, multi-factor authentication, Network security, VPNs, IPSEC, Wireless security, Block chain, Biometrics, Quantum cryptography.

3. Individual Project

Conduct in-depth investigation on a specialisation topic. Development of a tool/product/algorithm/software and its evaluation. Application of student’ specialisation interest into a working product or solution and systematic evaluation of such product.

Full Stack Web Development

1. Web Development

Full-stack web application development, Networking concepts including server, client, and web protocols, develop secure dynamic web
server, Client-side scripting, Databases.
Tools used: Python Django, Flask, Jinja 2 templates, MySQL server, JavaScript, HTML, CSS, Git, etc.

2. Web API Development

Design and develop public RESTful Web API, and interactive web client to consume the prepared web API. Web API security and authentication, OpenSSL, client libraries, version control, automated testing, call-backs, functional programming.
Tools Used: ReactJS, Angular JS, Vue JS, JavaScript, NodeJS, Express JS, MongoDB, etc.

 

Mobile Application Development

1. Introduction to Mobile Application Development

Design and develop mobile applications, implementation of security policies, authentication, data security, privacy, use of cloud computing for the mobile applications.
Tools used: Dart, Flutter, Firebase, version control, automated testing, etc.

2. Mobile Application Development(Advanced)

Design and develop mobile applications (cross-platform), implementation of security policies, authentication, data security, privacy, use of cloud computing for the mobile applications. Material design, common design patterns, use of third-party packages, state management, clean architecture.
Tools used: Dart, Flutter, OpenSSL, SSL certificates, automated testing, version control, RESTful API, etc.

Data Analytics

1. Data Science for Developers

Data structures, Data mining, Big-data, Relational databases, NoSQL databases, Statistical analysis, Probabilities, Linear modelling, Map/Reduce, Hadoop, Data visualisation and analytics, Exploratory data analysis.
Tools used: Python, R, MySQL, MongoDB, , Weka, tidyverse etc.

2. Data Analytics

Data collection, Data preparation, Data cleansing, Data mining, Data analysis, Visualisation, Decision-making, Generating insights, Problem-solving, Data ethics.
Tools used: Map/Reduce, PySpark, Lambda architecture, Kappa architecture, SQL, R/Python programming, NumPy, matplotlib and seaborn, Tableau, etc.

 

Artificial Intelligence

1. Data Science for Developers

Data structures, Data mining, Big-data, Relational databases, NoSQL databases, Statistical analysis, Probabilities, Linear modelling, Map/Reduce, Hadoop, Data visualisation and analytics, Exploratory data analysis.
Tools used: Python, R, MySQL, MongoDB, Weka, tidyverse etc.

2. Artificial Intelligence

Neural Networks, Deep Learning, Machine Learning, Knowledge representation and reasoning, fuzzy logic, expert systems, natural
language processing, intelligent agents.
Tools used: Python, Scikit-Learn, Weka, SWI Prolog, Tensorflow etc.

Why Coventry University?

An award-winning university, we are committed to providing our students with the best possible experience. We continue to invest in both our facilities and our innovative approach to education. Our students benefit from industry-relevant teaching, and resources and support designed to help them succeed. These range from our modern library and computing facilities to dedicated careers advice and our impressive Students’ Union activities.

Global Ready

An international outlook, with global opportunities

Employability

Career-ready graduates, with the skills to succeed

Teaching Excellence

Taught by lecturers who are experts in their field

Course essentials

A degree which offers you more, at no extra cost

Course Summary

Our computing degree is designed to produce graduates with a high level of knowledge across a variety of computing technologies.

Fee Structure

Course Duration: 3 Years
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Admission Eligibility:

Minimum 2.0 GPA in 10+2 level or 3.5 Credit in A level (Science/management/Humanities)

English requirement:

GETS English test (65 or above in all individual bands) Or IELTS 5.5.

We provide free preparation course for GETS English test.
Disclaimer
We regularly review our course content, to make it relevant and up-to-date for the benefit of our students. For these reasons, course modules may be updated, please contact us for the latest information