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Program Overview
The MSc Artificial Intelligence at the University of Central Lancashire (UCLan) offers an in-depth exploration of AI technologies, including machine learning, deep learning, and natural language processing, preparing students for dynamic roles in various sectors. This program is ideal for individuals with a background in computing or related fields, aiming to specialize in AI and its applications.
Curriculum Structure
In the first year, students engage with core modules such as Artificial Intelligence Fundamentals (CO4193), Machine Learning and Data Mining (CO4194), and Deep Learning (CO4195), which provide foundational knowledge in AI techniques and methodologies. The Data Concepts, Ethics and Governance (CO4191) module emphasizes the ethical considerations and governance frameworks essential in AI development. Practical skills are honed through modules like Computer Vision and Image Processing (CO4196), enabling students to apply AI to real-world scenarios. The Master's Project (CO4804) allows students to undertake an extensive piece of work focused on a challenging topic related to AI, demonstrating their ability to plan, perform, and critically evaluate AI projects.
Focus Areas
Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, AI Ethics
Learning Outcomes
Proficiency in advanced AI techniques, ethical and governance frameworks in AI, practical application of AI in various domains, and the ability to manage and execute AI projects.
Professional Alignment (Accreditation)
The program aligns with industry standards, preparing students for professional roles in AI and related fields.
Reputation (Employability Rankings)
UCLan's computing programs are recognized for their strong industry connections and employability outcomes, with graduates securing roles in various sectors.
This programme focuses on applying advanced computing principles through practical project work in the University's modern computing facilities. You will develop professional skills using industry-standard software and development tools, working on real-world computing challenges. This hands-on approach is delivered through:
Specialist Computing Laboratories: Access to UCLan's computing labs with high-specification workstations for software development, systems analysis, and project work.
Industry-Standard Software: Practical work with programming languages including Java, Python, and C#, plus database systems like Oracle and development environments such as Visual Studio.
Substantial Individual Project: A major final project where you apply your skills to a substantial computing challenge, developing a sophisticated software solution.
Project-Based Learning: Collaborative group work and practical assignments that simulate professional software development environments.
Graduates of the MSc Artificial Intelligence at the University of Central Lancashire are well-equipped for in-demand roles such as AI Specialist, Machine Learning Engineer, Research Analyst, and AI Developer. The programme combines advanced technical skills with ethical awareness, preparing students for dynamic careers in technology, healthcare, finance, and beyond.
UCLan’s Careers and Employability service provides career workshops, CV support, networking events, and offers an optional industry placement to gain practical experience and enhance employability.
Employment outcomes are strong with a high percentage of graduates finding relevant roles within 6-12 months; salary figures typically range from £28,000 to £45,000 depending on experience and sector.
The university maintains industry connections that facilitate live projects and guest lectures, keeping the course aligned with current AI trends and employer expectations.
Accredited by BCS, the British Computer Society, the programme offers long-term professional recognition supporting career advancement.
Graduates demonstrate expertise in machine learning, deep learning, natural language processing, and AI ethics, ready to innovate responsibly in the evolving AI field.
Further Academic Progression:
Students may pursue PhD research in AI, machine learning, or data science at UCLan or other research institutions, or undertake advanced certifications and postdoctoral roles to further enhance their expertise and career opportunities.
Applicants should hold at least 2:2 degree in related subject such as computingIndia- 58% in Bachelor's degree or 55% in Master's degreeUSA- Bachelor’s Degree from reputable university GPA 2.4/4.0 = 2:2IELTS: 6.0 with no components lower than 5.5TOEFL- 86 (with minimum grades of Reading 15 Listening 15 Speaking 18 Writing 22AI EngineerMachine Learning EngineerData ScientistNLP EngineerComputer Vision EngineerAI Research Scientist
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University of Central Lancashire
