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The MSc Artificial Intelligence and Data Science at the University of East London (UEL) is designed for graduates from non-STEM backgrounds seeking to develop expertise in AI and data analytics. The program combines theoretical foundations with practical applications, covering areas such as machine learning, big data, and ethical considerations in AI.
Curriculum Structure
Year 1
Students begin with core modules including The Fundamentals of Artificial Intelligence, Software Engineering, and Artificial Intelligence & Machine Vision. These modules provide foundational knowledge in AI concepts, software development practices, and image processing techniques. The Machine Learning on Big Data module introduces students to advanced machine learning algorithms and their applications in handling large datasets.
Focus Areas
Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Machine Vision
Learning Outcomes
Proficiency in AI and machine learning algorithms, software development methodologies, data analysis techniques, image processing, and the ability to conduct independent research projects.
Professional Alignment (Accreditation)
The program aligns with industry standards, preparing students for professional roles in AI and data science sectors.
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 AI and Data Science at the University of East London gain strong interdisciplinary skills in artificial intelligence, data analytics, and software engineering, preparing for roles such as AI Developer, Data Scientist, Machine Learning Specialist, and Business Intelligence Analyst. The program combines theory with practical projects and offers industry placements to enhance employability.
UEL’s dedicated Careers Service provides personalized coaching, internship placements, employer networking events, and workshops focused on CV writing and interview skills.
Employment outcomes are positive with graduates working in sectors such as technology, healthcare, finance, and public services; salary ranges generally fall between £28,000 and £45,000.
The university maintains partnerships with companies like Siemens and Microsoft, offering students opportunities to work on real-world industry projects and collaborative research.
The MSc is accredited by the British Computer Society (BCS), delivering long-term professional recognition and support for Chartered IT Professional status.
Graduates demonstrate competencies in ethical AI design, big data analytics, machine vision, and software development, enabling leadership roles in emerging tech fields.
Further Academic Progression:
Graduates may pursue doctoral research (MPhil/PhD) in AI, data science, or related disciplines, advanced professional certifications, or technology innovation roles to further develop career and research prospects.
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
