Computing

This course will give you with the skills to exploit big data tools and methods to drive innovation and growth in modern global organisations. Accredited by the Chartered Institute for IT (BCS) and the Engineering Council, the course will provide insight into areas of data mining, big data management, and advanced statistics.

Find out more: MSc Big Data Analytics

Learning how to support businesses with digital development, you will learn about the following topics:

• Strategic IS planning
• Technology optimisation and integration
• Digital change management
• Business intelligence and technology entrepreneurship.

You will also have the opportunity to undertake SAP Certification in Enterprise Resources Planning (ERP).

Find out more: MSc Digital Transformation

BCU’s Centre for Cyber Security is at the forefront of advancing information security. You will study modules such as:

• Digital forensics
• Advanced ethical hacking
• Cyber-physical systems security
• Applied machine learning.

Find out more: MSc Cyber Security

Advance your expertise in cutting-edge technologies with a degree accredited by BCS, The Chartered Institute for IT and the Engineering Council. The course focuses on areas such as artificial intelligence, cybersecurity, and software engineering, preparing you for high-level roles in tech industries.

Find out more: MSc Advanced Computer Science

Master the science behind intelligent systems and explore machine learning, neural networks, and ethical AI design. You will gain hands-on experience and work on real-world projects that reflect industry challenges. Delivery partners include Amazon, Huawei, Cisco, IBM and Microsoft.

Find out more: MSc Artificial Intelligence

This course covers key areas of tech such as software development, data analytics, and cybersecurity. You will gain practical experience in programming languages that are in high demand, as well as the technical and problem-solving skills needed for roles in software engineering, IT consultancy, and data science.

Find out more: MSc Computer Science

Learn how to design intuitive digital experiences. This course blends psychology, design, and technology to help you create user-centred products and services. You will gain hands-on experience with industry tools, work on real-world projects, and build a portfolio that prepares you for roles in UX research, interaction design, and digital strategy.

Find out more: MSc User Experience Design

Interactive Learning Skills and Communication for Postgraduate Study

During this module, you will learn advanced skills in topics such as:

• Public speaking
• Writing techniques and language styles
• Research and referencing techniques.

Research Methods for Postgraduate Study

You will gain an understanding of research methods and methodologies for postgraduate study, as well as learning how to plan and undertake effective research at postgraduate level.

Introduction to Machine Learning with AI

This module covers the mathematical foundations, core algorithms, programming tools, and ethical considerations involved in designing and deploying Machine Learning (ML) systems. You will gain hands-on experience using industry-standard tools such as Python, NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/Keras, and NLP libraries like NLTK.

Semester 1

Interactive Learning Skills and Communication for Postgraduate Study

During this module, you will learn advanced skills in topics such as:

• Public speaking
• Writing techniques and language styles
• Research and referencing techniques.

Research Methods for Postgraduate Study

You will gain an understanding of research methods and methodologies for postgraduate study, as well as learning how to plan and undertake effective research at postgraduate level.

ICT Skills for Postgraduate Study

You will develop a range of ICT skills for research purposes and postgraduate study – including the presentation of data and using essential tools in Microsoft Word.

Semester 2

Critical Thinking for Postgraduate Study

You will learn how to critically assess arguments and evidence from a range of academic sources, as well as gaining an understanding of effective critical reading at postgraduate level.

Research Methods for Postgraduate Study

You will gain an understanding of research methods and methodologies for postgraduate study, as well as learning how to plan and undertake effective research at postgraduate level.

Introduction to Machine Learning with AI

This module covers the mathematical foundations, core algorithms, programming tools, and ethical considerations involved in designing and deploying Machine Learning (ML) systems. You will gain hands-on experience using industry-standard tools such as Python, NumPy, Pandas, Scikit-learn, Matplotlib, TensorFlow/Keras, and NLP libraries like NLTK.

For entry onto this pathway programme, you must have a qualification in a related subject.

Coming soon