MSc Artificial Intelligence Technology (with Advanced Practice)

1 Year On Campus Masters Program

Northumbria University

Program Overview

The MSc Artificial Intelligence & Technology develops practical AI, automation, and data-driven solution-building skills for students aiming to work in technology-focused or innovation-driven industries. It suits graduates from computing and related fields who want to apply AI techniques directly to real-world technical and organisational challenges.

Curriculum structure

In the first stage, students study core technical foundations through modules such as Applied Artificial Intelligence, Machine Learning, and Advanced Computer Science Studies, gaining structured knowledge of algorithms, model training, and intelligent systems design. They also explore how AI integrates with modern digital infrastructures.

In the advanced stage, the programme deepens practical application through Intelligent User Experience Design and Advanced AI Programming, enabling students to develop usable AI systems, optimise models, and apply AI in product-design or automation contexts. This leads into the final MSc Computing Dissertation, where students complete an AI-based research or development project.

Focus areas: “machine learning, applied AI systems, intelligent UX, advanced programming, AI applications”

Learning outcomes: “design and evaluate AI models; apply machine learning to complex tasks; develop AI-enabled products; manage research and innovation projects”

Professional alignment (accreditation): Designed to meet industry demand for AI-skilled developers and technology specialists across automation, digital innovation, and software engineering roles.

Reputation (employability rankings): Delivered by a university with strong UK graduate-employment performance and recognised computing education.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on AI development in the campus's computing laboratories, using industry-standard software and cloud platforms to build and deploy intelligent systems. This applied learning is central to the curriculum:

Software: Training in Python with key AI libraries (TensorFlow, Keras, Scikit-learn).
Computing Facilities: Access to specialist computing labs and cloud computing resources.
AI Projects: Practical development of machine learning models and AI applications.
Research Project: An individual dissertation focusing on AI technology implementation.
Industry Focus: Curriculum includes real-world case studies and contemporary AI applications.
Professional Skills: Emphasis on building practical AI development capabilities for technology roles.

Progression & Future Opportunities

Graduates of Northumbria University London's MSc Artificial Intelligence Technology develop expertise in machine learning, data analysis, Python/R programming, IoT analytics, and AI algorithms, enabling them to design, test, and deploy AI solutions for real-world applications in sectors like healthcare, finance, and technology. The program includes advanced practice options like industry placements, fostering leadership in digital innovation and ethical AI implementation amid booming productivity gains projected at £47 billion annually for the UK. Typical job roles: AI engineer, machine learning specialist, data scientist, IT solutions architect.

University services: Careers Team provides workshops, CV support, mock interviews, employability sessions, and advanced practice placements for hands-on experience.
Employment stats/salary: Strong job readiness with 0% unemployment reported; starting salaries £35,000–£50,000 in high-demand AI roles.
University–industry partnerships: Collaborations via placements, Microsoft Azure AI certification, and real-world projects with tech firms.
Long-term accreditation value: Northumbria's industry-aligned curriculum and modern facilities ensure global recognition in evolving AI fields.
Graduation outcomes: Roles in AI development, research, leadership, or academic progression with enhanced technical and soft skills.

Further Academic Progression: Pursue PhD in AI, machine learning, or data science at Northumbria, extending dissertation research from the program's major project module.