WES Recognised

Master of Science in Machine Learning & AI

Kick-start your journey with a Master's from Liverpool John Moores University! Learn in-demand skills such as Generative AI, Deep Learning, NLP, and more.

Type

Masters Degree
Start Date

June 30, 2025
Duration

18 months

Recognised Masters Degree by WES |
Institute of Analytics (IOA)

Introduction To Master's In AI And ML From LJMU

Course Snapshot

2
Variants for Each Project
60+
Real-World Case Studies
80+
Programming & GenAI Tools

Dual-accredited Masters in Data Science from LJMU (UK) and IIIT Bangalore (India)
Generative AI integrated modules, tools, and projects
Study a globally recognized degree at 1/10th the cost of on-campus programs
Fortnightly mentorship sessions with industry experts for enhanced learning
Personalized 1:1 coaching to maximize your potential
Daily doubt resolution support to keep you on track

Overview of Masters in ML and AI from IIITB & LJMU

With an extensive network of over 30,000 alumni and a 4.5-star rating, this Master’s in Artificial Intelligence and Machine Learning sets a benchmark for delivering cutting-edge education. Designed for working professionals, it combines flexibility with an industry-relevant curriculum, preparing you for high-impact roles in AI and ML.

By the end of this program, you will be able to:

Leverage the hottest ML AI tools
Build AI-powered applications
Move into lucrative machine learning and AI roles
Lead high-impact ML AI projects
Leverage your experience with the right AI specialisation
Join the largest community of AI professionals in India

Key Highlights Of Masters In AI & ML

What is this course about?

Program Benefits

500+ hours of learning and practical projects
Specialised modules on Generative AI, leveraging cutting-edge tools like LangChai and large language models (LLM)
Backed by IIITB's academic legacy and LJMU's global reach, with 10000+ alumni
15+ Industry projects to choose from
Optional On-campus Immersion
LJMU is ranked in the #801-850 range in the QS World University Rankings 2025

The program prepares you for several in-demand data roles

Machine Learning Engineer
AI Engineer
Software Developer
Data Scientist

Student Support

A dedicated program coordinator
24/7 support to answer all your queries! intstudentsupport@upgrad.com
Centralised WhatsApp channels for queries

Why should you choose Liverpool John Moores University?

Global Recognition: LJMU is ranked in the #801-850 range in the QS World University Rankings 2025, reflecting its established reputation in the global academic community. While this ranking places LJMU in a competitive category, its focus on employability and industry partnerships ensures a solid foundation for its graduates to succeed internationally.

Masters In ML and AI Certification

Earn valuable Credentials & Recognition

Complete all the courses successfully to obtain this prestigious recognition from Liverpool John Moores University.

Master's Degree from LJMU

With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.

Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in ML & AI.
Get access to the complete digital library of LJMU to research & write your dissertation.
Earn a Master's degree which is recognized by WES, at 1/10th the cost of an offline program.

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Explore Our Learning Platform

Learn on an AI-powered & personalised platform with best-in-class
content, live sessions & mentoring from leading industry experts.

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LJMU Masters In AI And ML Syllabus

Learn with a World-Class Curriculum

Course 1: Advanced Math & Programming

5 Weeks

Topics Covered

Conditional Probability and Probability Distributions
Advanced Linear Algebra and Linear Transformations
Multivariate Calculus
GenAI for Coding and Problem-Solving
Object-Oriented Programming
Python Data Science Libraries
Database Design and SQL Querying
Introduction to NoSQL Databases
Version Control

Course 2: Data Analysis & Exploration

5 Weeks

Topics Covered

Data Analysis with Python
Exploratory Data Analysis
Inferential Statistics and Hypothesis Testing

Course 3: Cloud Computing & Big Data

5 Weeks

Topics Covered

Cloud Computing with AWS / GCP / Microsoft Azure
Big Data Analysis with PySpark

Course 4: Foundations of ML

5 Weeks

Topics Covered

Machine Learning Paradigms
Linear and Logistic Regression
K Nearest Neighbors
Regularisation and Hyperparameter Tuning
Decision Trees and Ensembles
Clustering Models

Course 5: Deep Learning & NLP

5 Weeks

Topics Covered

Deep Learning Fundamentals
Convolutional and Recurrent Neural Networks
Lexical / Syntactic / Semantic Processing

Specialisation: MLOps

16 Weeks

Topics Covered

Support Vector Machines
Naive Bayes
Feature Engineering and Model Selection
Dimensionality Reduction
Time Series Analysis
Association Rule Mining
Recommendation Systems
Explainable AI
Advanced CNN Architectures
LSTMs and GRUs
Transfer Learning Techniques
Encoder-Decoder Architectures and Seq2Seq
Machine Translation
Attention Mechanisms and Transformers
Fundamentals of Generative AI and Prompt Engineering
Computer Vision
Variational Autoencoders
Generative Adversarial Networks
Data and Model Security Principles
End-to-End Data Pipelining Fundamentals
Pipeline Automation with AWS Lambda
GCP Functions, and Azure Automation
Data Monitoring with Amazon CloudWatch
Google Cloud Monitoring, and Azure Monitor
Feature Stores and Vector Databases
Real-Time Processing with Flink and Kafka
Real-Time Analytics with Spark Streaming
Real-Time Analytics with Amazon Kinesis
Google Cloud Pub/Sub and DataFlow
Azure Stream Analytics and Event Hubs
Multicloud and Hybrid Cloud Operating Principles
Scala
Data Build Tool (DBT)
Azure Data Factory
Model Pipelining Principles
Scheduling and Triggers
Parallel Model Training and Real-Time Model Serving
Data Versioning and Model Versioning
Model Monitoring and System Design

Specialisation: Gen AI

16 Weeks

Topics Covered

Support Vector Machines
Naive Bayes
Feature Engineering and Model Selection
Dimensionality Reduction
Time Series Analysis
Association Rule Mining
Recommendation Systems
Explainable AI
Advanced CNN Architectures
LSTMs and GRUs
Transfer Learning Techniques
Encoder-Decoder Architectures and Seq2Seq
Machine Translation
Attention Mechanisms and Transformers
Fundamentals of Generative AI and Prompt Engineering
Computer Vision
Variational Autoencoders
Generative Adversarial Networks
Data and Model Security Principles
Advanced Prompt Engineering and GenAI System Design
Prompting Multimodal Models
LLM Frameworks such as LangChain and LLaMa Index
LLM Evaluation Methods
Data Security and Governance
AI Ethics
Information Retrieval Principles
Embeddings and Vector Databases
Retrieval-Augmented Generation (RAG) and RAG Architectures
Agentic Systems and Multi-Agent Systems
Advanced Multimodal GenAI Models
LLM Deployment
Advanced Computer Vision and 3D Vision
GenAI Optimisations
AI Ethics
Building an LLM from End-to-End

Research: Methodologies

Topics Covered

Introduction to Research and Research Process
Research Design
Literature Reviewing
Research Project Management
Report Writing and Presentation Skills
Scientific Ethics

Master's Dissertation

Topics Covered

Investigate a diagnosis of eye diseases using imaging ophthalmic data
Structure medical images with information geometry
Using Social media feed to place tweets regarding natural disasters on a map
Preventing credit card fraud through pattern recognition
Developing a recommender system for a Media giant
Risk modelling for Financial activities and Investment Banking

Programming Bootcamp for Machine Learning and AI

Programming Fundamentals

Build strong essentials with our complementary and optional fundamentals course (can be skipped by passing a short test)

50+ Hours

Basic Maths for DS & ML

4 Weeks

Topics (9)

Sets
Combinatorics
Basics of Probability
Conditional Probability
Descriptive Statistics
Functions
Vector Algebra
Derivatives
Integrals

Basic Programming

8 Weeks

Topics (13)

Coding Environments
Variables
Data Types
Syntax
Conditionals
Loops
Functions
Lists
Sets
Tuples
Dictionaries
Introduction to MySQL
Basic SQL Querying

INSTRUCTORS

Whom will you learn from?

5 Instructors
6 Industry Experts

Professor Dhiya Al-Jumeily

Professor at the Faculty of Engineering and Technology
Professor Dhiya Al-Jumeily, OBE, is a distinguished figure in the field of Artificial Intelligence (AI) and Machine Learning (ML). He holds a prominent position as a professor at the Faculty of Engineering and Technology, where he dedicates himself to teaching and inspiring the next generation of MS in AI and ML. Professor Al-Jumeily's dedication and achievements have earned him international recognition. He is a highly respected figure in the field, and his work has significantly impacted the advancement of Masters in ML and AI.

Professor Dhiya Al-Jumeily, OBE, is a distinguished figure in the field of Artificial Intelligence (AI) and Machine Learning (ML). He holds a prominent position as a professor at the Faculty of Engineering and Technology, where he dedicates himself to teaching and inspiring the next generation of MS in AI and ML. Professor Al-Jumeily's dedication and achievements have earned him international recognition. He is a highly respected figure in the field, and his work has significantly impacted the advancement of Masters in ML and AI.
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LJMU Profile

Dr. Debabrata Das

Director of IIIT Bangalore
Dr. Debabrata Das, the esteemed Director of IIIT Bangalore, is a renowned expert in the rapidly evolving fields of Artificial Intelligence and Machine Learning Master. Having received his Ph.D. from the prestigious Indian Institute of Technology Kharagpur, his research interests lie primarily in the intersection of these cutting-edge technologies and their application in the domain of IoT and Wireless Access Networks.

Dr. Debabrata Das, the esteemed Director of IIIT Bangalore, is a renowned expert in the rapidly evolving fields of Artificial Intelligence and Machine Learning Master. Having received his Ph.D. from the prestigious Indian Institute of Technology Kharagpur, his research interests lie primarily in the intersection of these cutting-edge technologies and their application in the domain of IoT and Wireless Access Networks.
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IIITB Profile

Prof. Chandrashekar Ramanathan

Dean - Academics
Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.

Prof. Chandrashekar has a Ph.D. from Mississippi State University and experience of over 10 years in several multinational organizations.
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IIITB Profile

Prof. Tricha Anjali

Professor
Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay.

Prof. Anjali has a Ph.D. from Georgia Tech as well as an integrated M.Tech. (EE) from IIT Bombay.
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LinkedIn Profile

Prof. G. Srinivasaraghavan

Professor
Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys and several other MNCs.

Prof. Srinivasaraghavan has a Ph.D. in Computer Science from IIT Kanpur and 18 years of experience with Infosys and several other MNCs.
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LinkedIn Profile

Abhishek Vijayvargia

Senior Data Scientist
Having worked with Microsoft as a Senior Data Scientist, he is an alumnus of IIT Kharagpur with 10+ years of experience in a Data Science domain

Having worked with Microsoft as a Senior Data Scientist, he is an alumnus of IIT Kharagpur with 10+ years of experience in a Data Science domain
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LinkedIn Profile

S. Anand

LLM Psychologists
A gold medalist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India with 20 years of experience.

A gold medalist from IIM Bangalore, an alumnus of IIT Madras and London Business School, Anand is among the top 10 data scientists in India with 20 years of experience.
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LinkedIn Profile

Manish Shukla

Head of Generative AI
Leading cutting-edge GenAI platform development at NatWest Group. Expertise in OpenAI products and MLOps for optimisation of operational efficiency and seamless project delivery with high user satisfaction.

Leading cutting-edge GenAI platform development at NatWest Group. Expertise in OpenAI products and MLOps for optimisation of operational efficiency and seamless project delivery with high user satisfaction.
Read More

LinkedIn Profile

Deependra Singh

VP & Head of Data Science
Over 15 years of experience in leading analytics practices, data science, deep learning, and AI product development. Successfully led teams at Junglee Games, American Express Digital Business, and National Insurance Company, pioneering key projects like the analytics engine for the GOI PMJAY policy. Respected speaker at top educational institutes like IMT Hyderabad, BIT Mesra, and NMIMS.

Over 15 years of experience in leading analytics practices, data science, deep learning, and AI product development. Successfully led teams at Junglee Games, American Express Digital Business, and National Insurance Company, pioneering key projects like the analytics engine for the GOI PMJAY policy. Respected speaker at top educational institutes like IMT Hyderabad, BIT Mesra, and NMIMS.
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LinkedIn Profile

Sajan Kedia

Ex- Data Science Lead
He is graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing.

He is graduated from IIT, BHU and has tons of experience in Data Science, Big Data, Spark, Machine Learning and Natural Language Processing.
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LinkedIn Profile

Mirza Rahim Baig

Lead Analyst
He is a Veteran Professional with 10+ years of experience in applications of data science, machine learning in e-commerce and healthcare.

He is a Veteran Professional with 10+ years of experience in applications of data science, machine learning in e-commerce and healthcare.
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LinkedIn Profile

MS In AI And ML - Projects

Learn by Doing

Choose between two options for assignments and create a capstone project in your preferred domain.

15+ Industry projects to choose from

GenAI System Design

Analyse Amazon customer reviews to identify prevalent sentiments and themes to improve product offerings and enhance customer satisfaction.

Know More

Skills learned

Prompt Engineering
Advanced Prompt Engineering
GenAI System Design
Multimodal LLM

GenAI System Design

ChatGPT customer feedback to derive actionable insights for business improvement.

Real Time Processing
Kafka

Deep Learning

Predict stock prices of Microsoft, Amazon, Google, IBM, using their historical stock price variations or temperature/pressure readings in Morocco using historical weather data.

Know More

Skills learned

Deep Learning
RNN
TensorFlow
Keras
PyTorch

Machine Learning Masters Programs Class Profile

Who've enrolled for this course?

The program is designed for people from various sectors. The variety of students enriches class discussions and
interactions.

By Industry

Information Technology and Services

65%

Banking and Financial Services

Healthcare

Education

Other

21%

By Work Experience

Fresher 25%

0 - 2 Years 10%

2 - 5 Years 23%

5 - 8 Years 14%

8+ Years 28%

By Highest Qualification

INTERMEDIATE

99%

GRADUATION

POST_GRADUATION

Others

By Degree Type

B.Com 10%

B.Tech 8%

B.Sc 7%

BBA 5%

Others 70%

By Age

34+

39%

30-34

18%

26-30

21%

22-26

17%

18-22

Others

By Gender

Male 70%

Female 28%

Our Learners Work At

Why choose LJMU’s MS in AI and ML?

Liverpool John Moores University (LJMU) offers a Master’s in Artificial Intelligence and Machine Learning, designed to equip professionals with the skills needed to excel in the fast-evolving AI landscape.

PGP Program in AI & ML experience

We will be there right through your learning journey this course about?

Videos from top faculty and world-class industry experts
Built-in practice and coding console
Industry-oriented projects for real ML AI exposure
Live interventions from faculty and Industry experts

Hands20Learning-d4968f1a8dbf4448aa040a43a585dfb3

Telegram Channel for learner communication
Query assistance when you’re stuck anywhere
Learning experience and completion support
Discussion Forum to resolve doubts and learn from peers

Student20services-9757b67a7d1c4186bf223354f0104491

Online discussion forum to get doubts clarified
Network & collaborate with 12,000+ alumni

Peer Learning-9109de078ca44ac8962657e710873fef

Machine Learning Masters Programs Learner Services

How will upGrad support you?

Personalized Mentorship from Industry Experts, Hands-on Projects, Peer Networking opportunities & a whole lot more to help you master Machine Learning & AI.

High ROI
Unique Learning Experience
Career Outcomes

High ROI

Cost Effective

Upgrade your career at 1/10 the cost of the same on campus program

Learn and Earn

Get world class credentials without leaving your job from the comfort of your home

Unique Learning Experience

Industry Driven

Learn through curriculum created by the industry for the industry
Learn and get coached by leading industry experts from around the globe

Flexible

Experience world class education on-demand through our proprietary app and website

Unparalleled Support

Work with a dedicated upGrad buddy who will handhold you throughout the program
Get expert verified resolutions for all your doubts within hours
Weekly live sessions with industry experts on doubts, career & communication

Career Outcomes

Career Preparation

Rigorous career preparation with resume feedback, personal branding on LinkedIn
Career booster content to help understand how to search for jobs, prepare for interviews, negotiate your salary etc.
Industry mentorship - Receive mentorship from industry leaders of the domain to help you reach your desired career goal

Networking

Opportunity to network with accomplished professionals, faculty and industry experts from 50+ countries
Part of 50K+ alumni base who are working in top companies like Amazon, ESPN, Visa, Microsoft, E&Y, Accenture

Success stories

What Our Learners Say

5/5

Updated with the latest industry practices and trends

My transformative journey with upGrad has been nothing short of remarkable. The program provided me with a comprehensive learning experience that equipped me with the latest tools and skills used in the industry. From design to publishing, I learned how to navigate through every stage of a project efficiently.One aspect that particularly impressed me was the platform itself. It's user-friendly and constantly evolving based on student feedback, ensuring that we have access to the best resources and learning materials available. The live classes conducted by industry professionals were invaluable, keeping me updated with the latest industry practices and trends.Overall, I am extremely satisfied with what I've learned through upGrad. It's not just about acquiring knowledge but also about connecting with professionals and building a network that will be beneficial for my career growth. I am truly grateful for the opportunity to be a part of this transformative journey with upGrad.

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LinkedIn Profile

Cassandra Pratt Romero

Software Engineer at Microsoft
6 Years of Experience

5/5

The urge to upskill myself led me to join this program

The urge to upskill myself led me to join this program. The program has been really great and has instilled a sense of confidence in me. The idea that I am part of something that is going to bring a revolution in near future is incredible. Post upGrad, I plan to continue my journey into the vast ocean of Artifical Intelligence and make a good name for myself.

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LinkedIn Profile

Atul Chauhan

Applied Controls Engineer at Daikin
8 Years of Experience

5/5

The progress in AI and ML in the last decade sparked my curiosity about this topic

The progress in AI and ML in the last decade sparked my curiosity about this topic. The UpGrad program looked well planned and built, with a reasonable price. The offline mode of education allowed me to study and learn while working at my job. During my learning journey with upGrad, I reinforced and learned new concepts I plan to use in my daily life and professional career. In the future, I will continue working and learning about these topics and applying them to my jobs.

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LinkedIn Profile

Jheser Guzman Illanes

Vice President of Software Engineering at JPMorgan Chase & Co.
18 Years of Experience

5/5

It was a fantastic journey so far with the support of upGrad team

I wanted to get into the ML\AI space for some time and decided to enroll in upGrad after being inspired by a friend. It was a fantastic journey so far with the support of upGrad team (special kudos to Karen for the excellent job) and I never imagined that I can make this far as I am a pretty occupied individual personally as well as professionally. I am looking forward to complete my masters and pursue PhD in near future. The foundation provided was fabulous and has enabled me to do design some innovative solutions at work. Thanks to upGrad for making it happen.

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LinkedIn Profile

Vsmy Naresh Kumar Kuppili

Solution Architect at Image Access Corp
11 Years of Experience

MSc In AI And Machine Learning- Admissions

How To Apply

The admissions process for Liverpool John Moore University's MS in Machine Learning & AI is very easy and can be done completely online.

Eligibility

50% (or equivalent) Bachelor's Degree preferably in a Mathematical/ Statistical background. Recommended 1 year of work experience in programming/ analytics.

Submit your application

Fill out an application giving your basic profile details.

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Reserve your Seat

Receive an offer letter and pay the caution amount to reserve a seat.

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Get Shortlisted

Rest balance to be closed within 7 days or batch start date whichever is sooner.

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Refer someone you know and receive cash reimbursements of up to
!*

*More details under the referral policy under Support Section

Start Referring *T&C Click Here

Frequently Asked Questions

Program Details

1. Is a career in AI and ML a good choice?

Yes, careers in Artificial Intelligence (AI) and Machine Learning (ML) are among the most sought-after in today’s job market. These fields are driving innovation across various industries, including healthcare, finance, and autonomous systems. Graduates can expect fulfilling roles with opportunities to work on cutting-edge technologies and projects on a global scale.

2. How long does it take to complete?

The program is of 18 months. Its flexible online format is designed for working professionals, balancing rigorous academics with hands-on experience.

3. Can an average student excel in AI and ML?

Absolutely! With LJMU’s structured preparatory modules, students without technical expertise can build foundational skills in programming and data science, ensuring a smooth transition into AI and ML.

MLOps: Learn automation, model deployment, and workflow management using MLflow and Airflow.
Generative AI: Master concepts like prompt engineering, LLMs, and OpenAI APIs for building scalable systems.

5. What learning experience can you expect?

LJMU offers a mix of recorded and live lectures, real-world projects, and peer learning opportunities. Students will gain hands-on experience using popular tools like TensorFlow and PyTorch to solve practical problems.

1. How difficult is the program?

The MS in AI and ML is designed to be accessible to learners from diverse academic backgrounds. Beginner-friendly modules cover essential topics such as Python programming, data analysis, and fundamental mathematics. Comprehensive mentorship is provided to ensure even non-technical students can thrive.

1. Is this program right for you?

If you are passionate about data-driven solutions and building intelligent systems, this program is an excellent fit. It caters to both beginners and professionals seeking to transition into AI and ML.

1. Is there any deferral or refund policy for this program?

Refund Policy:

1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counsellor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.

2. Student must pay the full fee within seven (7) days of payment of the deposit amount or Batch Start Date, whichever is earlier; otherwise, the admission letter will be rescinded.

3. Request for refund as per point no. 1 of the refund policy must be sent via email in the prescribed refund request form. The refund will be processed within 30 working days of submitting the duly signed refund form, after being duly approved by the Academic Committee.

Refund Policy:

upGrad Learner Support

Available from 9 AM to 8 PM GMT (Monday - Friday).

Phone Number

+44-20-4602-3556

Email Address

info.emea@upgrad.com

*All telephone calls will be recorded for training and quality purposes.
*If we are unavailable to attend to your call, it is deemed that we have your consent to contact you on purpose.

Disclaimer

upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. If you intend to pursue a post graduate or doctorate degree upon completion of this course or apply for employment which requires specific credits, we advise you to enquire further regarding the suitability of this degree for your academic and/or professional requirements before enrolling.