18 Months | Master of Science | Machine Learning & Artificial Intelligence

Liverpool John Moores University
Master of Science in Machine Learning & Artificial Intelligence

The Master of Science in Machine Learning & Artificial Intelligence is an 18–21 month postgraduate programme jointly delivered through IIIT Bangalore, Liverpool John Moores University (LJMU) and upGrad. The programme combines an Executive Diploma phase from IIIT Bangalore with an MSc dissertation phase from LJMU, providing learners with strong foundations in Data Science, Machine Learning, Deep Learning, MLOps, Generative AI and Agentic AI. Learners complete mathematics and programming bootcamps, advanced ML specialisations, industry capstone projects and a research dissertation while gaining exposure to more than 80 industry tools, 30+ assignments and case studies, Microsoft certification opportunities and double alumni status from IIIT Bangalore and LJMU.

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Liverpool John Moores University Master of Science in Machine Learning & Artificial Intelligence

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University Rankings & Accreditation

Liverpool John Moores University — recognition that matters

Liverpool John Moores University Master of Science Degree

IIIT Bangalore Executive Diploma

Double Alumni Status LJMU & IIIT Bangalore

18–21 Months Master Programme

80+ Industry Tools AI & Data Science

30+ Assignments Industry Case Studies

GenAI & Agentic AI Integrated Curriculum

Industry Capstone Research Dissertation

Program Highlights

Everything that matters — at a glance

⏱
Programme Duration
18–21 Months
📋
Programme Type
Master of Science (MSc)
💰
Degree Awarded
Liverpool John Moores University (UK)
💻
Executive Diploma
IIIT Bangalore
🏦
Specialisations
MLOps & GenAI with Agentic AI
🤝
Assignments
30+ Industry Assignments & Case Studies
🌍
Industry Tools
80+ AI & Data Science Tools
📜
Capstone
Industry Capstone + MSc Thesis
🎓
Microsoft Advantage
Optional Microsoft Generative AI Professional Programme
🏆
Alumni Status
IIIT Bangalore & Liverpool John Moores University

How You Learn Online

UGC-compliant 4-Quadrant learning model — structured for working professionals

Video & E-Tutorial

Animated video lectures, virtual labs, audio content and full transcriptions — available 24/7

E-Content & Resources

Digital study material, e-books, case studies, web references and reading material uploaded weekly

Live Discussion Forum

Weekly live sessions with course coordinators for doubt-clearing and peer interaction

Assessments

Weekly quizzes, assignments, MCQs and project evaluations — structured and timely feedback

Program Curriculum

Industry-aligned, application-based — built for career outcomes

Phase 0 - Mathematics & Programming Bootcamp (12 Weeks)

Sets
Combinatorics
Probability
Conditional Probability
Descriptive Statistics
Functions
Vector Algebra
Derivatives
Integrals
Python Fundamentals
Variables & Data Types
Control Statements
Loops
Functions
Lists
Tuples
Sets
Dictionaries
Introduction to MySQL
Basic SQL Querying

Phase I - Core Curriculum (30 Weeks | 20 IIITB Credits)

Advanced Mathematics for Data Science
Conditional Probability
Probability Distributions
Advanced Linear Algebra
Linear Transformations
Multivariate Calculus
Advanced Python Programming
Object-Oriented Programming
GenAI for Coding
Python Data Science Libraries
Database Design
MySQL
NoSQL Databases
Exploratory Data Analysis
Inferential Statistics
Hypothesis Testing
Power BI
Tableau
AWS
Google Cloud Platform
Microsoft Azure
PySpark
Machine Learning
Linear Regression
Logistic Regression
K-Nearest Neighbours
Decision Trees
Ensemble Learning
Clustering
Artificial Neural Networks
CNN
RNN
Natural Language Processing
Containerisation
Deployment
Version Control

Core Curriculum Projects

Spotify Music Recommendation Analysis
Insurance Risk Assessment
NYC Taxi Data Analytics
US Beer Production Analysis
Mercari Recommendation System
Customer Interaction Analytics
Household Energy Consumption Prediction
Porter Delivery Time Prediction
Microsoft Stock Prediction
Weather Forecasting using Deep Learning

Phase II - MLOps Specialisation (21 Weeks)

Support Vector Machines
Naive Bayes
Feature Engineering
Model Selection
Dimensionality Reduction
Time Series Analysis
Association Rule Mining
Recommendation Systems
Explainable AI
Machine Learning Pipelines
MLflow
Model Registry
Model Deployment
Model Monitoring
Feature Stores
Vector Databases
Apache Kafka
Apache Flink
Spark Streaming
Amazon Kinesis
Google Pub/Sub
Azure Event Hubs
AWS Lambda
Google Cloud Functions
Azure Functions
Cloud Monitoring
Docker
Kubernetes
CI/CD for ML
End-to-End MLOps Project

Phase II - Generative AI & Agentic AI Specialisation (21 Weeks)

Large Language Models
Transformer Architecture
Attention Mechanisms
Prompt Engineering
Advanced Prompt Engineering
Embeddings
Vector Databases
Retrieval-Augmented Generation (RAG)
LangChain
LlamaIndex
OpenAI APIs
ChatGPT
Claude
Google Gemini
Agentic AI
Multi-Agent Systems
LLM Evaluation
AI Guardrails
Responsible AI
Enterprise AI Applications
Generative AI Capstone

Phase III - Industry Capstone

Business Problem Identification
Data Collection
Data Cleaning
Exploratory Data Analysis
Feature Engineering
Machine Learning Model Development
Deep Learning Model Development
Generative AI Integration
Model Evaluation
Hyperparameter Optimization
Cloud Deployment
Business Insights
Project Documentation
Final Presentation
Industry Capstone

Phase IV - Liverpool John Moores University MSc Dissertation

Research Methodology
Literature Review
Problem Definition
Research Proposal
Experimental Design
Data Collection
Model Development
Model Evaluation
Dissertation Writing
Research Presentation
MSc Thesis Submission
Viva Voce

Career Development

Resume Building
LinkedIn Profile Optimization
GitHub Portfolio
Mock Interviews
Technical Interview Preparation
HR Interview Preparation
Career Mentorship
Placement Assistance
Microsoft Generative AI Professional Certification Preparation

4 Specializations

Click any specialization to see fees and key modules

MLOps Engineering IIIT Bangalore Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

MLflow
Docker
Kubernetes
Cloud Deployment

Generative AI & Agentic AI IIIT Bangalore Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

LLMs
Prompt Engineering
RAG
Agentic AI

Machine Learning & Artificial Intelligence Liverpool John Moores University Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Advanced Machine Learning
Deep Learning
Research Methods
MSc Dissertation

Data Science IIIT Bangalore Included ▼

Total FeeIncluded

Per SemesterIncluded

Zero Cost EMIIncluded

Key Modules:

Python
SQL
Statistics
Business Analytics

Fee Structure

Transparent pricing — paid semester-wise with Zero Cost EMI available

Specialization	Per Semester	Total Fee	EMI / Month (6 mo)
Master of Science in Machine Learning & Artificial Intelligence	NA	₹5,35,000	Starting at ₹13,000/month

The total programme fee is ₹5,35,000 (inclusive of taxes). Flexible financing options are available with EMIs starting from ₹13,000 per month for eligible learners.

Scholarships Available

Reviewed and approved on a case-by-case basis

Category	Who's Eligible	Scholarship
No Cost EMI	Eligible learners	Available
Education Loan	Available through financing partners	Available
Corporate Sponsorship	Working Professionals	Case Basis

Eligibility Criteria

Simple and transparent — no entrance exam required

🇮🇳 Students with Indian Education

Passed 10 + 2 from a recognised board
Completed undergraduate degree (minimum 3 years)
Aggregate minimum of 50% marks
Final year students can apply with last semester results
Work experience gives added advantage

🌍 Students with Foreign Education

Certificate of Equivalence from AIU (Association of Indian Universities) required
Visit aiu.ac.in for details

Career Opportunities

Roles our graduates step into after completing this program

Machine Learning Engineer

Design, train and deploy production-grade machine learning models for enterprise applications.

Artificial Intelligence Engineer

Develop intelligent AI solutions using deep learning, NLP, computer vision and Generative AI technologies.

Data Scientist

Build predictive analytics solutions and generate business insights using advanced statistical and machine learning techniques.

MLOps Engineer

Deploy, automate and monitor machine learning pipelines using Docker, Kubernetes, MLflow and cloud platforms.

Generative AI Engineer

Build enterprise AI applications using Large Language Models, Prompt Engineering, RAG and Agentic AI frameworks.

AI Research Engineer

Research advanced AI algorithms and develop innovative machine learning and deep learning solutions.

Computer Vision Engineer

Develop AI systems for image recognition, object detection and visual intelligence applications.

Natural Language Processing Engineer

Create intelligent language processing systems, conversational AI applications and document intelligence solutions.

AI Solutions Architect

Design scalable enterprise AI architectures integrating cloud computing, MLOps and Generative AI technologies.

Lead AI Engineer

Lead AI teams, architect enterprise AI platforms and drive organization-wide AI transformation initiatives.

Our Hiring Partners

Top companies that recruit our graduates

Microsoft Google Amazon IBM Accenture Deloitte EY PwC Infosys TCS Cognizant Capgemini HCLTech Wipro Oracle SAP NVIDIA Adobe upGrad Hiring Network IIIT Bangalore & LJMU Alumni Network

Student Testimonials

Real students. Real outcomes.

The programme gave me a strong foundation in Machine Learning, MLOps and Generative AI while also providing an internationally recognized master’s degree.

Programme Learner

MSc Machine Learning & AI

The combination of an Executive Diploma, international MSc degree and research dissertation significantly strengthened my technical and research profile.

Working Professional

AI Engineer

The industry assignments, capstone project and dissertation provided practical experience in solving real-world AI and machine learning challenges.

Programme Graduate

Machine Learning Engineer

The curriculum successfully integrates academic research with enterprise AI implementation, preparing graduates for global AI careers.

Industry Mentor

LJMU & IIIT Bangalore Programme

Frequently Asked Questions

Everything you need to know before you apply — answered clearly

What is the Master of Science in Machine Learning & Artificial Intelligence? Program

The Master of Science in Machine Learning & Artificial Intelligence is an 18–21 month postgraduate programme jointly delivered by Liverpool John Moores University (LJMU), IIIT Bangalore and upGrad. It combines an Executive Diploma from IIIT Bangalore with an internationally recognized MSc degree from LJMU, preparing learners for advanced careers in Artificial Intelligence, Machine Learning and Data Science.

Who should enroll in this programme? Eligibility

The programme is ideal for graduates, software engineers, data scientists, AI professionals, data analysts and working professionals who want to build expertise in Machine Learning, Artificial Intelligence, MLOps, Generative AI and advanced data science.

What is the duration of the programme? Program

The programme spans approximately 18–21 months, covering a Mathematics & Programming Bootcamp, core AI curriculum, specialization tracks, industry capstone and an MSc dissertation.

How is the programme delivered? Learning

The learning experience includes live online classes, recorded lectures, industry assignments, practical coding sessions, faculty mentorship, capstone projects and an academic research dissertation.

What topics are covered in the curriculum? Curriculum

The curriculum covers Python, SQL, Statistics, Machine Learning, Deep Learning, MLOps, Cloud Computing, Data Science, Computer Vision, Natural Language Processing, Generative AI, Agentic AI, Prompt Engineering, Retrieval-Augmented Generation (RAG) and enterprise AI deployment.

Does the programme include a Mathematics & Programming Bootcamp? Curriculum

Yes. Learners begin with a 12-week bootcamp covering mathematics, probability, statistics, linear algebra, calculus, Python programming and SQL fundamentals required for advanced AI learning.

Will I learn Machine Learning and Deep Learning? Curriculum

Yes. The programme includes supervised learning, unsupervised learning, ensemble methods, neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers and advanced deep learning concepts.

Does the programme include MLOps? Curriculum

Yes. Learners gain practical experience with ML pipelines, MLflow, Docker, Kubernetes, cloud deployment, model monitoring, feature stores, streaming platforms and enterprise-scale MLOps practices.

Will I learn Generative AI and Agentic AI? Curriculum

Yes. The curriculum covers Large Language Models (LLMs), Prompt Engineering, LangChain, LlamaIndex, Retrieval-Augmented Generation (RAG), OpenAI APIs, Agentic AI, multi-agent systems and enterprise AI applications.

What projects are included in the programme? Projects

Learners complete more than 30 industry assignments and case studies, an industry capstone project and a research-based MSc dissertation addressing real-world AI and machine learning challenges.

What is the MSc dissertation? Projects

The dissertation is an independent research project completed under academic supervision. It includes research methodology, literature review, experimentation, model development, evaluation, dissertation writing and final thesis submission.

Will I receive an international master’s degree? Certification

Yes. Upon successful completion of all academic requirements, learners receive the Master of Science (MSc) in Machine Learning & Artificial Intelligence awarded by Liverpool John Moores University, along with the Executive Diploma from IIIT Bangalore.

Does the programme provide career support? Career

Yes. Career services include resume building, LinkedIn profile optimization, GitHub portfolio development, mock interviews, mentorship, placement assistance and optional preparation for Microsoft Generative AI Professional Certification.

What career opportunities are available after completing this programme? Career

Graduates can pursue roles such as Machine Learning Engineer, AI Engineer, Data Scientist, MLOps Engineer, Generative AI Engineer, AI Research Engineer, Computer Vision Engineer, NLP Engineer, AI Solutions Architect and Lead AI Engineer.

How much is the programme fee? Fees

The total programme fee is ₹5,35,000 (inclusive of taxes). Flexible financing options are available with EMIs starting from ₹13,000 per month for eligible learners.

Does the programme include cloud technologies? Curriculum

Yes. Learners work with AWS, Microsoft Azure, Google Cloud Platform, Docker, Kubernetes, cloud functions, cloud monitoring and enterprise AI deployment technologies.

What additional certifications are available? Certification

The programme includes access to optional Microsoft Generative AI Professional Certification preparation along with industry-recognized learning resources integrated into the curriculum.

Why should I choose the MSc in Machine Learning & Artificial Intelligence from LJMU and IIIT Bangalore? Program

The programme uniquely combines an Executive Diploma from IIIT Bangalore with an internationally recognized MSc degree from Liverpool John Moores University. It integrates Machine Learning, Deep Learning, MLOps, Generative AI, Agentic AI, cloud computing, 80+ industry tools, 30+ assignments, an industry capstone and an academic dissertation, making it ideal for professionals seeking global AI careers and advanced technical expertise.

Earn an International Master’s Degree in Machine Learning & Artificial Intelligence

Master Machine Learning, Artificial Intelligence, Deep Learning, MLOps, Generative AI, Agentic AI, Data Science and Cloud AI through an Executive Diploma from IIIT Bangalore followed by a Master of Science degree from Liverpool John Moores University, featuring 80+ industry tools, 30+ assignments, industry capstone and MSc dissertation.

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