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The MSc Artificial Intelligence at the University of East London (UEL) offers an advanced curriculum focusing on intelligent systems, machine learning, and big data analytics, preparing students for roles in AI-driven industries. This program is ideal for individuals with a computing or related background seeking to specialize in AI technologies and applications.
Curriculum Structure
Year 1
Students engage with core modules including Artificial Intelligence & Machine Vision, Machine Learning on Big Data, Intelligent Systems, and Big Data Analytics. These modules provide foundational knowledge in AI techniques, machine learning algorithms, intelligent agent design, and big data management.
Focus Areas
Machine Learning, Deep Learning, Intelligent Systems, Big Data Analytics, Computer Vision
Learning Outcomes
Proficiency in AI and machine learning algorithms, understanding of intelligent system design, ability to manage and analyze big data, skills in image processing and computer vision, and capability to conduct independent research projects.
Professional Alignment (Accreditation)
The program aligns with industry standards, preparing students for professional roles in AI and related fields.
Reputation (Employability Rankings)
UEL'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 UEL'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 UEL'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 and development environments.
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 East London acquire advanced skills in machine learning, deep learning, and AI system design, preparing them for roles such as AI Engineer, Machine Learning Scientist, Data Scientist, and Big Data Software Engineer. The program pairs theoretical knowledge with hands-on projects and industry-relevant tools like Python, Hadoop, and Spark.
UEL’s Careers Service offers targeted support including employability workshops, CV clinics, networking events, and an optional industrial placement year to enhance job prospects.
Employment outcomes are strong, with graduates securing roles across tech, healthcare, finance, and public sectors; starting salaries typically range between £28,000 and £45,000.
The program boasts partnerships with tech companies and guest lectures that provide real-world insight and professional connections.
The MSc is accredited by the British Computer Society (BCS), supporting Chartered IT Professional status and recognized long-term value.
Graduates demonstrate capability in ethical AI development, predictive modelling, natural language processing, and smart decision-making applications.
Further Academic Progression:
Students may pursue doctoral research in AI, machine learning, or data science at UEL or other universities, and seek advanced certifications or industry-focused research roles for further career development.
Bachelor's degree with minimum Second Class (2:2) in Computer Science (or equivalent degree with significant maths and computing content).India- Bachelors degree and have scored an average of: 50% or above from the following Universities: Delhi; Mumbai; Pune; Kolkata; Chennai; Anna; Bharatiyar; MSU Baroda; Bangalore 55% or above from all other recognised institutions Universities USA- Bachelor's degree from a recognised institution with a minimum GPA of 2.5 out of 4.0.IELTS 6.0 with minimum 6.0 in writing and speaking, and 5.5 in listening and reading(or recognised equivalent)Software DeveloperDatabase AdministratorComputer Hardware Engineer
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University of East London
