Enter OTP
The MSc Artificial Intelligence and Data Science at the University of East London is designed to help non-STEM graduates transition into high-demand AI and data science careers. Delivered at the Docklands Campus, the program emphasizes practical, real-world applications through hands-on tools, industrial placements, and problem-based learning.
Teaching: Face-to-face lectures, workshops, tutorials, seminars, lab work, and problem-based learning
Academic Support: Personal tutors and central Student Hub for academic and wellbeing support
Assessment: Coursework, presentations, group and individual projects, and dissertation focused on practical application and knowledge retention
Course overview
Core Modules:
The Fundamentals of Artificial Intelligence
Software Engineering
Artificial Intelligence & Machine Vision
Machine Learning on Big Data
Mental Wealth; Professional Life (Dissertation)
Hands-On Projects:
Use of real-world datasets, case studies, and problem-solving techniques in labs
Final dissertation integrates technical, ethical, and professional competencies
Industry Engagement:
Curriculum shaped by industry input; guest speakers and field visits
Internship support provided; past internships include Siemens
Group work, company-led projects, and access to smart energy/campus projects
Career Development:
Dedicated careers service with 1-to-1 coaching, CV reviews, and job search support
Professional Fitness and Mental Wealth program with an industry-validated Careers Passport (partners include Amazon and Microsoft)
Support for entrepreneurship, freelancing, and start-up development
Career Pathways:
Graduates are well-prepared for roles in software development, biotech, healthcare, logistics, government, and media
Entrepreneurship:
UEL ranks 2nd in the UK for graduate start-ups (2023/24)
Further Study:
Strong foundation for doctoral research or higher-level specialisation in AI and data science
Professional Skills:
Communication, teamwork, ethical reasoning, critical thinking, and cross-domain problem-solving
Career Support:
Access to UEL’s centralised Student Hub and 24/7 academic support
Fast feedback turnaround within 10 working days
Entry Requirements: A first- or second-class honours degree or equivalent in any non-Computing subject. Expect students to have mathematical skills equivalent to a grade C or above in GCSE Mathematics or similar grade for international students. All applicants are considered on an individual basis and additional qualifications and relevant experience may also be considered.IELTS: 6.0 (Writing and Speaking 6.0, Listening and Reading 5.5).Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Part time studies NOT availableApplied AI and Data Science ProfessionalGraduate AnalystBusiness AnalystData EngineerData ScientistMachine Learning DeveloperSoftware EngineerTechnology ConsultantBusiness Intelligence DeveloperDigital Marketing Analyst
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University of East London
