MSc Computer Science (with Advanced Practice)

What you will study

The MSc Computer Science (with Advanced Practice) programme aims to build upon the knowledge acquired at undergraduate level and provide students with advanced skills and expertise in specific areas of computer science. It will allow students to delve deeper into specific areas of computer science, such as artificial intelligence, machine learning, and data science, and engage in research to contribute to the advancement of knowledge in computer science. Using advanced theories students will be able to solve complex problems, lead software development projects and address real-world software engineering challenges.

Modules

• Artificial Intelligence  
• Secure Computing  
• Advanced Data Structures and Algorithms
• Advanced Machine Learning
• Database Systems and Data Analytics
• Research Methods for Digital Technologies
• Dissertation

Entry requirements & applying

The standard entry requirements for these programmes are an honours degree of at least 2:2 classification in a Computer Science related subject area, or equivalent in any science-based degree with a strong computing and/or engineering element. In some cases, applicants with substantial commercial or industrial experience can be accepted, subject to interview and references.

Teaching & Assessment

Teaching

The computing program suite employs a diverse range of cutting-edge industry tools and software, complemented by innovative teaching methods. This dynamic approach not only imparts industry-relevant skills but also empowers students to elevate their work to new heights when possible. The entire staff enthusiastically embraces the active learning framework (ALF), resulting in numerous enhancements to the teaching and learning experience.

Assessment

Assessments in computer science at the university level are designed to evaluate students' understanding, application, and proficiency in various aspects of the discipline. These assessments encompass a diverse range of methods, including:

• Coursework and Projects: Assignments and projects provide hands-on experience, allowing students to apply theoretical knowledge to real-world scenarios. This may include software development projects, research papers, or problem-solving tasks.
• Coding Assignments: Practical coding assignments assess students' programming skills, logical reasoning, and ability to develop efficient and effective code.
• Group Projects: Collaborative projects evaluate teamwork, communication, and the ability to work in diverse teams, reflecting the collaborative nature of the tech industry.
• Presentations: Students may be required to present their findings, solutions, or project outcomes, enhancing their communication and presentation skills.
• Laboratory Work: Practical sessions in computer labs assess students' ability to apply concepts, troubleshoot issues, and work with various tools and technologies.
• Problem-solving Exercises: These exercises challenge students to solve complex problems, encouraging critical thinking and analytical skills.
• Reports and Documentation: Writing reports or documenting project processes assesses students' ability to communicate technical information clearly and concisely.

Personalised Support

The department follows a well-established open-door approach, actively interacting with students, alumni, and industry stakeholders. Essential information and communication avenues are facilitated through tools like Teams and Moodle. Additionally, every student is assigned a personal tutor, fostering regular meetings, while additional personalized support is extended to part-time students through the Virtual Learning Environment (VLE).

Career prospects

Our Careers & Employability service is there to help you make decisions and plan the next steps towards a bright future. From finding work or further study to working out your interests, skills and aspirations, they can provide you with the expert information, advice and guidance you need.

One obvious advantage of a Computer Science master’s degree is that students become more employable. Jobs include, but are not limited to:

• Software Engineer/Developer
• Data Scientist/Data Analyst
• Artificial Intelligence/Machine Learning Engineering
• Research Specialist
• IT Consultant/Systems Analyst
• Project Manager/Technical Lead
• Software Architect.

Employability Features Built into the Course:

• Advanced Practice: Gain an edge in the job market through practical work experience.
• Advanced Technical Skills: Graduates acquire advanced technical skills in areas such as programming, data analysis, artificial intelligence, machine learning, and cybersecurity, making them highly desirable candidates for technical roles in various industries.
• Specialised Knowledge: The course offers opportunities for specialisation in specific areas of computer science, allowing graduates to tailor their expertise to match industry demands. This specialisation enhances their competitiveness in the job market.
• Research Experience: For students interested in research-oriented careers, the course offers opportunities to engage in research projects, contributing to advancements in the field and preparing students for roles in academia or industry research labs.
• Professional Development: the course includes modules or workshops focused on professional skills development, such as communication, teamwork, project management, and leadership, which are essential for success in the workplace.
• Networking Opportunities: Students have the chance to network with industry professionals, alumni, and fellow students through seminars, workshops, career fairs, and alumni events, expanding their professional network and potential job opportunities.

Fees & funding

You do not have to pay your tuition fees upfront.

The fees you pay and the support available will depend on a number of different factors. Full information can be found on our fees & finance pages. You will also find information about what your fees include in the fee FAQs.

All fees are subject to any changes in government policy, view our postgraduate fees.

Programme specification

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This course is open to international students only. Please apply through our International Application System Centurus