The MSc in Advanced Computer Science gives the in-depth knowledge and cutting-edge skills required for careers where advanced computer systems are used to solve difficult business goals. It further enables students to control complex processes and equipment, and undertake deep and detailed analysis, management, and presentation of data.
The rising profile of AI, global cyber security, social media safety, and tech’s role in understanding and tackling some of society’s biggest challenges, such as climate change and pandemic modelling, is fuelling the demand and interest in computer science. As such, the course covers a wide range of practical skills and theory.
In the first part of the programme, you will study eight modules over two semesters, and in the second part, you will have the choice to either undertake a formal academic project supervised by academic staff or to take an industry placement. In both options, you will apply the skills you have learned throughout the taught modules.
Programme Objectives
- Gain advanced knowledge of the principles and concepts of internet technologies, software development, and intelligent systems.
- Develop the practical skills that are necessary for the design, build, deployment and evaluation of distributed information systems and complex, internet-enabled business applications.
- Learn many techniques, including manipulating large amounts of data, designing and building large applications, leveraging and provisioning cloud services, and developing autonomous systems.
- Gain the skills needed to become a technology consultant through the dedicated modules where you are taught and assessed through applying your learning to real-world problems.
Entry Requirement: 60% / 2.4 in a 4-year Bachelor's Degree in a Computing, Science, Maths or Engineering subject or 65% / CGPA 2.8 in a 3-year Bachelor's degree in a Computing, Science, Maths or Engineering subject or demonstrated relevant professional qualifications or experience.
Specific roles related to this course include (but are not limited to):
- Academic
- Analyst
- Application or Business Analyst
- Computer Programmer, Systems Specialist, or Service Assistant
- Data Analyst
- Database Administrator
- Engineering, Project, Senior Technical, or Information Systems Manager
- Head of Development
- IT Consultant or Developer
- Mobile, Software, or Systems Developer
- Technical Consultant
The MSc in Advanced Computing from Keele University, offered at The British College, was a rewarding experience that greatly enhanced my skills. The course followed a block model, which kept me engaged and focused throughout. While challenging at times, the structure helped me sharpen my knowledge and build confidence in my abilities. The tutors were industry experts with years of experience, and each course was designed to be as practical and hands-on as possible. This approach made the content easy to apply to real-world situations and relevant to current industry needs. I would highly recommend this program to anyone looking to advance their career and expertise in computing.
My MSc journey in Advanced Computer Science at The British College was both challenging and rewarding. The lecturers, with their comprehensive experience, provided valuable guidance and support throughout the program. I especially appreciated the analytical nature of the assessments, which deepened my understanding and equipped me with practical skills applicable to real-world scenarios. This program has prepared me well for a successful career in computer science.
"The MSc. Advanced Computer Science program at The British College was pivotal in shaping my career. The curriculum’s focus on industry-level project management, data analysis, and research innovation provided me with the skills and insights necessary to take on real-world challenges. Additionally, the connections I made with faculty and classmates, many of whom are industry professionals, were invaluable. After completing my master’s, I co-founded Tech Nirvana with a partner from the same batch, turning our shared vision into a successful venture."
| TBC- KEELE Programme | |
| Semester 1 | |
| Research Horizons | 15 credits |
| Mathematics for AI and Data Science | 15 credits |
| Optional Module | |
| Cloud Computing | 15 credits |
| Distributed Intelligent Systems | 15 credits |
| Advanced Programming in Python | 15 credits |
| Human Factors of Cyber Security | 15 credits |
| Semester 2 | |
| Elective Options (Choose four) | |
| Collaborative Applications Development | 15 credits |
| Visualization of Data Analytics | 15 credits |
| Data Analytics and Databases | 15 credits |
| Applications of AI, Machine Learning, and Data Science | 15 credits |
| Cryptography | 15 credits |
| Cyber Security | 15 credits |
Every student must take the required number of modules from each elective option. Which module you take will depend on how much
computer programming experience you have and will be decided in a meeting with the Programme Directors at the start of the course.
| Semester 3 | |
| Industrial Placement (or) | 60 credits |
| MSc Project | 60 credits |
- After students have completed the taught modules they must undertake a formal academic project supervised by an academic staff member, and apply the skills they have learned during the taught modules.
- The student will decide together with their academic supervisors what type of project they will complete, based on their performance during the taught modules.
- The MSc Project assessment is based largely on a substantial final written report of 10,000 - 15,000 words.
