Applied Artificial Intelligence MSc

NA On Campus Masters Program

University of Chester

Program Overview

The MSc Applied Artificial Intelligence at the University of Chester provides practical training in AI, machine learning, data systems and intelligent automation. It suits students from computing, engineering, maths or related fields who want hands-on experience applying AI to real-world problems.

Curriculum Structure:
Students begin with modules such as Programming for AI/Machine Learning, Databases and Security, Programming and Optimisation, and Ethics and Principles of Data and AI, building core skills in coding, data management, algorithmic techniques and ethical AI practice. They also study Robotics, gaining exposure to autonomous systems and machine vision. The programme concludes with an MSc Project (or optional placement year), where students design and implement a full AI or robotics solution.

Focus areas: “Machine Learning, Data Systems, Optimisation, Robotics, Secure AI, Ethics & Governance”

Learning outcomes: “Develop ML/AI models; design secure data systems; build intelligent/robotic applications; apply ethical and governance principles; complete independent applied AI projects.”

Professional alignment (accreditation): Prepares graduates for roles in AI development, robotics, data analytics, secure AI systems and research.

Reputation (employability rankings): Chester graduates benefit from strong applied-computing training, supporting good employability across AI and technology sectors.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on AI projects in the University's computing laboratories, using industry-relevant software and datasets to develop intelligent systems and machine learning solutions. This applied learning is central to the curriculum:

Software: Training in Python with key AI libraries (TensorFlow, Keras, Scikit-learn).
Computing Facilities: Access to the University's computing labs and development environments.
AI Projects: Practical development of machine learning models and applied AI solutions.
Research Project: An individual dissertation focusing on an AI application in a specific domain.
Industry Focus: Curriculum developed with industry input and real-world applications.
Professional Skills: Emphasis on building practical AI implementation capabilities for professional roles

Progression & Future Opportunities

Graduates of University of Chester's MSc Applied Artificial Intelligence develop advanced skills in robotics, machine learning, computer vision, and AI ethics to solve real-world engineering problems across industries such as policing, analytics, and healthcare. The program offers a flexible route including a project or professional placement year that provides valuable industry experience and practical application of AI knowledge. Typical job roles: software developer, robotics engineer, research scientist, AI consultant.

University services: Award-winning Careers and Employability service offers CV workshops, interview preparation, placement support, and employer engagement.
Employment stats/salary: Growing demand across AI sectors with competitive salaries and strong graduate employability.
University–industry partnerships: Curriculum designed with industry input; access to high-performance computing labs and real-world AI projects.
Long-term accreditation value: Emphasizes ethical practice and industry-relevant skills ensuring long-term career sustainability.
Graduation outcomes: Roles in AI development, robotics, data science, and academic research worldwide.

Further Academic Progression: Pursue PhD studies at Chester building on MSc research or placement experiences with faculty supervision

Additional Information & Requirements

A good honours degree (ordinarily 2:2 or higher) in a related discipline will be required.

India- 3-year Bachelor’s Degree with 55%-65%, depending on your academic history and the course you are applying for.

USA- Bachelor Degree from a recognised institution with 3.0 GPA or above.

IELTS- 6.5 overall, with no component below 5.5

TOEFL: Overall score: 91 Min sub skill: Listening: 19 Reading: 20 Speaking: 21 Writing: 20

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