Advanced Computer Science

Entry requirements

A 2:2 honours degree, or international equivalent, in Computing science (though students who have a 2:2 with significant professional experience will be considered). We accept subjects with a significant computing component, such as:

• engineering

• systems engineering

• mathematics

Examples of acceptable degrees:

•Computer Science and Technology

• Computer Science and Engineering

• Software Engineering

Months of entry

September

Course content

Our Advanced Computer Science Master's provides you with training in a range of emerging computer science topics that will underpin your future career in computing.

Overview

Enhance your technical knowledge of computer science while gaining practical experience by applying cutting-edge techniques to real-world challenges.

This programme offers an exciting opportunity to deepen your expertise and explore cutting-edge topics like:

• artificial intelligence
• machine learning
• Internet of Things
• cyber security

You'll benefit from the flexibility to tailor your studies to your interests and career goals. With a wide selection of modules to choose from and a range of options for your final project, this course helps you choose your own path in the fast-evolving world of computer science.

You’ll gain a well-rounded research training in computer and information systems, providing a basis for PhD study. You'll also develop your technical and professional skills to underpin personal development and future career success.

The MSc Advanced Computer Science is demanding and rewarding. It has close links to ongoing research in the School of Computing. We have leading international research groups and three research centres focusing on a wide range of computer science fields, including:

• security and resilience
• dependable systems
• cybercrime
• cloud computing and edge
• Internet of Things
• machine learning

What you'll learn

Topics are taught at an advanced level. The topics link closely with the research strengths of the School. This means we'll introduce you to the latest developments. You'll focus on both the theory and application of the associated techniques.

The topics covered include:

• advanced programming
• distributed algorithms
• safe and dependable systems
• security and trust
• cyber-physical systems
• cloud computing and edge
• Internet of Things
• data science
• AI and machine learning
• human factors engineering

A team project is also incorporated into the course to provide an opportunity to develop teamwork skills.

Information for international students

See Newcastle University's course entry for more information

Fees and funding

See Newcastle University's course entry for more information