Computer Science (Applied Data Science)

Why choose this course?

• Study where and when you want, fitting in with other commitments such as work or family
• Our online degrees are based on their on-campus equivalents with the same academic quality standards
• Study at a well established computer science department with strong links to business

Flexibility is one of the key aspects to this course, with online content you can study when and where you want, making it easy to fit around a busy lifestyle. Our first online Computer Science course launched in 2004 and we have a large team of experienced academics and educational technologists to make sure you have a great learning experience.

You'll have the opportunity to take part in a number of co-curricular activities such as:

• AWS Academy Cloud Foundations - you'll receive a course completion certificate, but also have the opportunity to go for the AWS Cloud Practitioner certification which is an industry recognise accreditation
• Workshops introducing programming languages such as JavaScript and Python, and client-side web technologies including HTML5 and CSS.

Careers and employability

Studying this course can lead to the following careers:

• Software Developer
• Business Analyst
• Database Administrator
• Network Designer
• Technical Consultant
• Programmer
• Web Developer
• Project Manager
• Software Engineer

What's the course about?

This course is based on the BSc Computer Science course which runs on campus, with the same academic standards and processes to the award will be recognised worldwide. As this course is run online you do not need to attend timetabled sessions, the course is designed to fit around your schedule so you have flexibility in when and where you study.

In the first year you will learn about the foundations of Computer Science, including a problem solving approach to programming, modelling and representing data, computer design, networks, operating systems and devices.

In the second year you will deep your understanding and develop more advanced skills. You will learn about accessibility and usability issues and study in a team to complete a data science project. Modules also cover artifical intelligence, software development, databases, alhorithms and data structures, operating systems and networks.

In the third year you will study cybersecurity and contemporary issues in the social, professional, ethical and legal aspects of computing. You'll also start specialising in Applied Data Science, learning about data mining and visualisation, principles of data science, machine learning and neural networks. Finally you will complete an individual project, this is your opportunity to apply what you've learnt on a topic of interest to you. You'll be guided by an academic supervisor throughout the project.

Tawajihiya with 70% or above. High School Diploma with a minimum overall average of 3.0, 2 Advanced Placement (AP) with a minimum score of 3.0

Apply via UCAS

All applications for undergraduate university degree courses are made through the Universities and Colleges Admissions Service (UCAS).

Typically, they must submit their application to UCAS by 15 January deadline to give them the best possible chance of securing a place at their preferred university. For further details, look up the key UCAS dates so you are aware of what you have to do when.

They can choose up to 5 courses to apply for. These can be at one university or spread across different institutions. The same application is used for the 5 choices so selecting similar topics will make it easier to write a focused submission.

Completing the UCAS application

If you have questions on how to apply, you can talk to staff during a university open day visit.

The UCAS application is made online. Information required include:

1. personal details and information about support requirements.
2. background details.
3. course and university choices.
4. education and qualifications overview.
5. employment details and experience.
6. personal statement.