Our BSc Computer Science is a dynamic and varied programme covering all the key areas, from cybersecurity and GDPR to machine learning, algorithm design and programming, that you will need to graduate with the knowledge, skills and practical experience ready to start your career as an IT professional.
The extended degree programmes include a foundation year, which will provide you with a sound introduction to key elements needed for studying Computer Science at degree level. Our extended degree programme will provide you with a thorough and supportive academic preparation for study. The foundation year is carefully designed to build confidence in your abilities, develop essential academic and study skills, and provide you with the subject specific knowledge essential for success.
You will learn key programming skills across languages and platforms so you will have the fluency to work on any software development problem. You will be exposed to computational and algorithmic thinking and will learn how to provide data solutions and secure systems. Through problem-based lab learning, you will develop software applicable to the home, Internet, corporate, and many other fields. You will deliver solutions to people’s problems, be they personal, social, or industrial.
You will learn about constructing software and working with data, understanding the technological and societal requirements of IT systems. Software is developed for people by people and this is reflected in the way you will learn. The programme has been constructed to give you experience of IT work culture while you study, focusing on collaborative working practices in technology and using team based project management software, such as Scrum and Kanban, that allows people to work together to deliver software for people. By studying in this way, you will learn what makes a responsible IT practitioner in legal, social, ethical and professional contexts.
The programme has been designed for students who want to work in the evolving modern technology world. You will be taught by experts at the forefront of research with experience in industry, ensuring you are provided with the latest knowledge and skills in this fast-moving sector.
Course Details - Modules
Foundation Year
Take modules in English and Maths which will develop your core academic and study skills.
The syllabus includes a year-long module relevant to your chosen degree subject, such as Communication and Representation Essentials. This will provide you with a subject specific knowledge in Journalism which is essential for success in your degree.
Year One
Examine the five views of computer technology: software, hardware, mathematical, data and societal.
Learn programming concepts, recipes and algorithm development and examine data representation, code operation and secure coding.
Explore the human-computer interaction and usability, incorporating psychology and statistical understanding of user studies, and social and ethical concerns of computer interface design, such as accessibility and how people experience IT.
Year Two
Take modules such as Artificial Intelligence and Algorithms, where you will learn how algorithm design works and be introduced to innovative concepts around algorithmic impact on energy consumption, and discover the social and ethical implications of AI, including considerations of automation.
Option to take a one-year work placement at the end of your second year
Year Three
Work on a final-year project and explore a topic of your choice
Take modules such as Cyber Security where you will examine the lifecycles, legal frameworks, and tools of the computer security professional, including legal, social and ethical concerns of computer security such as hacking and its ethical standpoint.
Other modules include Data Visualisation, which teaches the art and science of descriptive statistics, including static charts and interactive visuals and Data Engineering, where you will develop data delivery pipelines, consider the requirements of domain experts and the legal, social and ethical aspects of data pipeline techniques.
Course Details – Assessment Method
Assessment Methods are not listed for this Course.
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:
G401
Institution code:
R48
Campus Name:
Main Site
Campus code:
Points of Entry
The following entry points are available for this course:
Foundation
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
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
IELTS (Academic)
6.0
with a minimum of 5.5 in each band
TOEFL (iBT)
80.0
with the following minimum scores:
Reading: 18
Writing: 17
Listening: 17
Speaking: 20
PTE Academic
51.0
with no less than 51 in any band
Cambridge English Advanced
grade C in tests prior to 2015 with no less than 'weak' in any band
We may accept other high school English qualifications if you are applying for an undergraduate degree. Please contact us at admissions@roehampton.ac.uk to clarify.
