Home / Programs / ML & AI Courses / MS in ML & AI
Program Overview
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Duration: 18–24 months | 100% Online | Flexible for working professionals
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Award: Master of Science (MS) from Liverpool John Moores University (UK government-recognized)
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Career Uplift: Average salary hike of 50%, 700+ successful transitions across industries
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Learning Mode: Live online classes, recorded modules, practical projects, global faculty
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Eligibility:
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Bachelor’s degree (minimum 50%)
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Preferred: 1+ years of experience in tech, engineering, analytics, or related fields
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Designed for Working Professionals: Flexible learning, industry-driven projects, and live sessions
20 Programming Tools, Languages & Libraries Covered
Generative AI Tools Covered
Why Choose LJMU’s MS in ML & AI?
Internationally Acclaimed Curriculum
Stay current with the latest advancements in ML, AI, and Data Science:
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Deep Learning, Computer Vision, NLP, MLOps, Generative AI
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Tools & Libraries: Python, TensorFlow, Keras, Scikit-learn, PyTorch, OpenCV, AWS, Docker, HuggingFace
Hands-on Industry Projects
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Work on 15+ real-world assignments and 6 portfolio-worthy capstone projects
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GitHub-ready project portfolio
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Participate in global AI Hackathons and Applied ML case studies
Expert Mentorship
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One-on-one guidance from AI and ML leaders across the UK, EU, and India
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Live workshops, faculty Q&As, and mentorship meetups
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Career-focused bootcamps on MLOps, Prompt Engineering, and Model Deployment
Career Assistance
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End-to-end placement support: Resume reviews, mock interviews, and job referrals
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Access to job boards with 300+ hiring partners
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Dedicated career coach and support for UK, India, and global roles
Dual Alumni Status
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Become part of the Liverpool John Moores University global alumni network
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Exclusive access to partner institution alumni groups and tech communities
Key Learning Outcomes
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Master full-stack ML pipelines: from data engineering to deployment
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Build and fine-tune deep learning models for image and language tasks
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Gain fluency in AI tools used in top tech companies
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Develop end-to-end AI solutions using MLOps pipelines
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Apply AI in real-world domains: finance, healthcare, retail, manufacturing, etc.
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Lead innovation and transformation within your organization using AI strategy
Program Structure & Syllabus
Foundation Modules
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Python Programming for AI
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Essentials of Data Science
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Mathematics for ML: Linear Algebra, Probability, Statistics
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SQL & Data Handling
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Supervised and Unsupervised Learning
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Deep Learning with TensorFlow & PyTorch
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NLP with Transformers (BERT, GPT, etc.)
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Computer Vision and CNN Architectures
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Generative AI: GANs, LLMs
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MLOps and CI/CD for AI
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Ethical AI & AI in Business Strategy
Core Modules
Electives (Choose Your Specialization)
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Advanced NLP & Conversational AI
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Big Data Engineering & Cloud-based AI
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Reinforcement Learning
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AI in Healthcare / Finance / Cybersecurity
Choose from 6 capstone options tied to real-world industry challenges. Project themes may include:
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Chatbot development using LLMs
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AI for Fraud Detection
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Retail Demand Forecasting using ML
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Emotion Detection via Computer Vision
Capstone Projects
Career Support & Outcomes
Self-paced modules, live sessions, and peer discussions
Interactive Online Platform
Direct access to faculty and industry experts
Mentorship
Portfolio website, GitHub projects, and career workshops
Profile Building
Network with 95,000+ IIITB alumni and 300+ hiring partners
Community
Admission Process
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Check Eligibility : Bachelor’s degree (50%+), preferably 1 year work experience
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Apply Online : Fill the application form with supporting documents
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Shortlisting & Interview: Candidate screening by admissions team
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Offer Letter & Fee Payment : Confirm your seat with initial payment
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Kickoff : Attend orientation and begin your journey in ML & AI
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50% Average Salary Hike
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