Program Overview

Advanced Computer Science

Course Overview

The Advanced Computer Science course is designed to develop students' expertise in advanced areas of computer science, such as cloud computing, smart systems, and AI. The course combines theory with practice to prepare students for working with cutting-edge technologies in industry.

Entry Requirements

• Applicants should have at least a second-class honors degree in a cognate subject such as Computer Science.
• Alternatively, applicants with a non-cognate subject degree supported by evidence of an aptitude for the subject applied for will be considered.
• Equivalent experience or training, normally from within the work environment, will also be considered.
• All applications should be supported by a reference, either academic or professional.
• Applicants should satisfy the English Language requirements, with an IELTS score of 6.5 and no skill below 5.5.

Modules, Teaching, and Learning

The course is delivered through a number of modules, which will help students plan their time and establish a study routine. Independent study is a crucial part of learning at university, and students will be required to undertake many hours of self-directed research and reading, and preparation and writing of assessments.

Fees and Funding

• The tuition fee for the year for UK students entering in 2026/27 is ｣10,400.
• For international students, the tuition fee is ｣18,440.
• There is a placement option on this course, with a cost of ｣2,080 for UK students and ｣3,680 for international students.
• Funding support is available, including a Master's Loan of up to ｣13,206 and a 20% alumni discount.

Career Prospects

This course will develop students' advanced theoretical knowledge and practical skills in computer science, preparing them for a variety of challenging and rewarding job roles, including:

• Software engineer
• Systems analyst
• Systems engineer
• Network manager
• Cloud services developer
• Intelligent systems developer
• Internet of Things (IoT) developer

Student Life

At Leeds Beckett, students can expect a supportive and inclusive learning environment, with state-of-the-art facilities and learning environments. The university offers a range of student support services, including academic advice, careers guidance, and mental health support.

Research Areas

The course covers a range of research areas, including:

• Cloud computing
• Smart systems
• AI
• Robotics
• Internet of Things (IoT)
• Data science

School of Built Environment, Engineering, and Computing

The School of Built Environment, Engineering, and Computing at Leeds Beckett University is a vibrant and dynamic community of students, academics, and professionals. The school offers a range of undergraduate and postgraduate courses in subjects such as computer science, engineering, and construction.

Why Study Advanced Computer Science at Leeds Beckett?

There are many reasons to study Advanced Computer Science at Leeds Beckett, including:

1. Curriculum covers themes within industry 4.0, making learning up-to-date and relevant.
2. Access to guest lectures and industry expertise of teaching staff.
3. Specialist facilities, including sandboxed labs.
4. Strong industry links.
5. January or September start options, allowing students to begin their studies when it suits them.