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 Reinforcement Learning. Work on 15+ industry projects, multiple programming tools & a dissertation.

Type

Masters Degree
Start Date

November 30, 2024
Duration

18-20 months

Liverpool John Moores University

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

Introduction To Master's In AI And ML From LJMU

Course Snapshot

15+
Industry Projects
85+ Countries
Learner Base
20+
Tools & Libraries

WES Recognized Degree
LJMU Alumni Status
AI Powered Profile Builder
Generative AI integrated modules, tools, and projects
Live and Pre-recorded sessions with Top LJMU, IIIT-B faculty, and industry experts

Key Highlights Of Masters In AI & ML

What is this course about?

Program Benefits
Career Paths
Practical Learning and Networking
Student Support

Program Benefits

AI Mastery: Advanced Techniques and Applications
Live sessions to cover ChatGPT, Open AI, Dall, Midjourney & more tools
On-demand Mock Interviews for when you need to prepare for a hiring process
Get a WES (World Education Services) Recognised Masters degree
Resume Building tools
Designed for Working Professionals
6 Practical Hands-on Capstone Projects
Live Coding Classes & Profile Building Workshops
Get access to LJMU Supervisors for guidance on Research & Dissertation
Dedicated Student Success Mentor & Career Mentor for 360 Degree Support
750+ Hours of Learning
Daily Doubt Resolution Sessions

The program prepares you for several in-demand data roles

Machine Learning Engineer
AI Engineer
Software Developer
Data Scientist

We provide a blended peer to peer learning and networking experience

Live discussion forum for peer-to-peer doubt resolution
Great networking opportunities with a pool of 10,000+ Alumni
Insightful lab walkthroughs of industry-driven projects
Improve with weekly real-time doubt clearing sessions

Student Support

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

20 Programming Languages, Tools & Libraries Covered

Generative AI tools covered

Masters In AI And ML 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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LJMU Masters In AI And ML Syllabus

What will you learn?

Experience 750+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects

750+ Hours of Content

15+ Case Study and Projects

70+ Live Sessions

11 Coding Assignments

20 Tools, Languages & Libraries

6 Capstone Projects to Choose From

Stats and EDA

5 Weeks

Topics (5)

EDA + Welcome
Intro to Git & Github
Lending club case study
Inferential Stats
Hypothesis Testing

Machine Learning - I

7 Weeks

Topics (6)

Linear Regression Module
Linear Regression Assignment:Bike sharing company(demand regression)
Logistic Regression
Naive Bayes
Model Selection
Revision week - Skill test

Machine Learning - II

7 Weeks

Topics (9)

Advanced Regression
Advance regression assignment + SVM (Optional)
Tree Models
Random Forests + Practical Considerations
Boosting - 1
Unsupervised Clustering
PCA
Telecom Churn Case Study
Buffer - Skill test

Deep Learning

9 Weeks

Topics (9)

Introduction to Neural Networks - Part1
Introduction to Neural Networks - Part2
Convolutional Neural Networks
Assignment: Convolutional Neural Networks
CNN : Practical Considerations
Recurrent Neural Networks
Gesture Recognition - Project
Exam on Sunday End of the week
Revision week - Skill test (DL)

Natural Language Processing

7 Weeks

Topics (6)

NLP - Lexical Processing
NLP - Syntactic Processing
NLP Assignment - Syntactic Processing
NLP - Semantic Processing
Ticket classification Project
Buffer - Skill test(NLP)

ELective : MLops Elective

17 Weeks

Topics (14)

Pre-Requisite Module
Introduction to MLops
Designing Machine Learning Systems
Experimenting with Data and Model using MLflow
Automating and Orchestrating piepelines with Airflow
Building continuous learning infrastructure
MLOps Project
Advanced NLP - Introduction to Attention Mechanism
Advanced NLP - Introduction to Transformers
Advanced CV - Object Detection & Semantic Segmentation
MLOps + Deployment: DL (Theory)
MLOps + Deployment: DL (Case Study)
Exam on Sunday End of the week
Revision week - Skill test

Elective : Generative AI Elective

15 Weeks

Topics (15)

Advanced NLP - Introduction to Attention Mechanism
Advanced NLP - Introduction to Transformers
"Fundamentals of Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques"
Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
Integrating speech using Whisper API and application deployment using Flask
Fundamentals of Multimodal LLMS like Stable Diffusion, Mid Journey
"Fundamentals of Design, Photography & Product Development using Stable Diffusion in Python & Applications of LLMs for Data Science problems like clustering, classification"
GenAI Project
Applications of LLMs to create Embeddings for Large Documents
Applications of Vectorstores like Pinecone to store and index embeddings of large documents
Understand the importance of LangChain and it's applications
Initialise the agents, tools and vectorstore for storage and retrieval
Connect the components using Chain and explore the power of tools in LangChain
Scale and Deploy Generative AI Apps using Azure OpenAI services
Future Developments in Generative AI

Capstone

4 Weeks

Capstone

Research Methodologies

10 Weeks

Topics (6)

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

Master's Dissertation

16 weeks

Topics (7)

Investigate dietary patterns and metabolite fingerprints of takeaway (fast) food consumers using PCA and clustering methods
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

INSTRUCTORS

Whom will you learn from?

6 Instructors
6 Industry Experts

Dr. Gabriela Czanner

Senior Lecturer in Statistics and Data Science at the Department of Applied Mathematics
Dr. Gabriela Czanner is a Senior Lecturer in Statistics and Data Science at the Department of Applied Mathematics at Liverpool John Moores University (LJMU). Her expertise lies in the field of advanced statistics for decision support, particularly its applications in the rapidly evolving of artificial intelligence and machine learning masters (AI/ML). Dr. Czanner's passion for AI/ML extends beyond research. She is a dedicated educator who is committed to inspiring the next generation of data scientists. She teaches a variety of courses on AI/ML at LJMU, including the highly-regarded Masters in AI and Machine Learning program. Through her research, teaching, and commitment to industry collaboration, Dr. Gabriela Czanner is a leading figure in the field of AI/ML. Her work is helping to shape the future of this transformative technology.

Dr. Gabriela Czanner is a Senior Lecturer in Statistics and Data Science at the Department of Applied Mathematics at Liverpool John Moores University (LJMU). Her expertise lies in the field of advanced statistics for decision support, particularly its applications in the rapidly evolving of artificial intelligence and machine learning masters (AI/ML). Dr. Czanner's passion for AI/ML extends beyond research. She is a dedicated educator who is committed to inspiring the next generation of data scientists. She teaches a variety of courses on AI/ML at LJMU, including the highly-regarded Masters in AI and Machine Learning program. Through her research, teaching, and commitment to industry collaboration, Dr. Gabriela Czanner is a leading figure in the field of AI/ML. Her work is helping to shape the future of this transformative technology.
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LJMU Profile

Prof. 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

S. Anand

CEO
A gold medallist 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 medallist 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

Mirza Rahim Baig

Lead | Business Analytics
Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.

Advanced analytics professional with 8+ years of experience as a consultant in the e-commerce and healthcare domains.
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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

rajeshsabapathy__1625819212942-1885c175203d4a1dacca93e19872c3dc

Rajesh Sabhapaty

Sr Director, Data Science
He has 10+ years of experience leading Data Science teams in various domains solving complex problems using Deep Learning & ML technique.

He has 10+ years of experience leading Data Science teams in various domains solving complex problems using Deep Learning & ML technique.
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LinkedIn Profile

Ujjyaini Mitra

Head of Analytics
An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.

An alumnus of McKinsey and Co., Flipkart, and Bharti Airtel with over 11 years of experience.
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LinkedIn Profile

MS In AI And ML - Projects

Learn by Doing

Learn through real-life industry projects sponsored by top companies across industries

Engage in collaborative projects with student-mentor interaction
Benefit by learning in-person with Expert Mentors
Personalized subjective feedback on your submissions to facilitate improvement

Credit EDA Assignment

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to analyse the patterns present in the data. This will ensure that the MSc in machine learning and AI applicants are capable of repaying the loan and are not rejected.

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Skills learned

Data Cleaning
Data Visualisation
Data Analysis
Data Interpretation
MS in AI and ML

Model Selection Case Study -Telecom Churn

As a business analyst, I've been tasked with helping a telecom company combat customer churn, a major pain point in the competitive telecom industry. To achieve this, I propose a data-driven approach that leverages the power of Masters in Artificial Intelligence and Machine Learning.

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Skills learned

Logistic Regression
Tree Models
Model Selection
Feature Engineering
Classification
MSc Artificial Intelligence and Machine Learning
Model Evaluation
Business Problem Solving

Advanced ML Case Study - Telecom Churn

Telecom companies operate in a fiercely competitive landscape like artificial intelligence and machine learning masters, constantly grappling with the challenge of customer churn. A data scientist can play a critical role in identifying churn-prone customers and devising data-driven strategies to retain them, ultimately boosting customer lifetime value and improving profitability.

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Skills learned

Logistic Regression
Tree Models
Boosting
Model Selection
Regularization
Feature Engineering
Classification
MS in Machine Learning and Artificial Intelligence
Model Evaluation
Business Problem Solving

Lending Club Case Study

In this assignment, you will work for a consumer finance company which specialises in lending various types of loans to urban customers and use EDA to analyse the patterns present in the data. This will ensure that the applicants are capable of repaying the loan and are not rejected.

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Skills learned

Data Cleaning
Data Visualisation
Data Analysis
Data Interpretation

Bike Sharing Assignment

Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue.

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Skills learned

Data Cleaning
Data Visualisation
Data Analysis
Data Interpretation
Linear Regression

Advanced Regression Assignment

Build a regularized regression model to understand the most important variables to predict housing prices in a US market

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Skills learned

Data Cleaning
Data Visualisation
Data Analysis
Data Interpretation
Generalized Linear Regression
Regularization
Hyperparameter Tuning

Melanoma Detection Assignment

Build a custom convolutional neural network neural network from scratch in Tensorflow to identify the type of skin cancer from image.

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Skills learned

Data Understanding
Data Visualization
Convolutional Neural Network
Model Building and Training
Data Augmentation
Class Imbalance
Model Evaluation

Gesture Recognition Project

Make a Smart TV system which can control the TV with user’s hand gestures as the remote control.

Know More

Skills learned

Data Understanding
3D Convs
CNN-RNN
Generator Functions
Model Building and Training
Model Tuning
Model Evaluation

Custom Entity detection in Healthcare data

Build a custom NER to get the list of diseases and their treatment from a medical healthcare dataset.

Know More

Skills learned

Regular expressions
Text cleaning
Bag-of-Words model
TF-IDF
Model building
PoS tagging
Parsing
NER
Custom NER and CRF

Classification of customer complaints

Create a solution that will help in identifying the type of complaint ticket raised by the customers of a multinational bank

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Skills learned

Data Cleaning
Data Preprocessing
Data Visualisation
Feature Extraction
Topic Modelling
Model Building
Model Inference

Lead Scoring

Build an end-to-end MLOps pipeline for an edtech company to identify customers most likely to convert and streamline the overall lead conversion process

Know More

Skills learned

Pycaret
MLflow
Data Ingestion Pipeline
Model Training Pipeline
Model Inference Pipeline

Style Transfer using GAN's

Build a Model for converting MRI images from one type (T1) into other (T2) and vice versa.

Know More

Skills learned

Custom model building
Model tuning
Data cleaning and wrangling
EDA and visualisation
Generative Adversarial Network (GAN)
CycleGAN
ML Modelling
Model Evaluation
Business Problem Solving

Sales Forecasting

Help an European pharma giant accurately forecast sales at their individual stores

Know More

Skills learned

Data Understanding
Data Preparation
Time Series Analysis - ARIMA, SARIMA, VAR, VARMAX
Model evaluation

Eye for the Blind

Build a model that can help any visually impaired person in understanding image present before them.

Know More

Skills learned

Computer vision
Image captioning
Text to speech
CNN-RNN based architecture
Attention model
Custom model building using Tensorflow
Data preparation using Tensorflow

Sentiment analysis based Product Recommender system

Build a sentiment analysis based product recommendation system to recommend the similar products to the users. Sentiment analysis is used to fine tune the product recommendation system.

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Skills learned

Data preparation
Lexical Processing
ML Model building
Recommender System
Model evaluation
Model deployment

News Recommender System

Build a model to using the concepts of natural language processing and recommender systems to recommend news stories to users on a popular news platform.

Know More

Skills learned

Data Preparation
Collaborative Filtering
Content-based Filtering
Hybrid Recommender System
Exploratory data analysis
Machine learning
Model building
Model evaluation

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

59%

Education

Banking and Financial Services

Healthcare

Other

24%

By Work Experience

Fresher 9%

0 - 2 Years 4%

2 - 5 Years 23%

5 - 8 Years 20%

8+ Years 44%

By Highest Qualification

GRADUATION

68%

POST_GRADUATION

24%

INTERMEDIATE

Others

By Degree Type

B.E./ B.Tech 64%

ME/M.Tech 6%

MCA 5%

B.Sc 5%

Others 20%

By Age

34+

40%

30-34

24%

26-30

25%

22-26

Others

By Gender

Male 78%

Female 22%

Machine Learning Masters Programs Learner Services

How will upGrad support you?

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

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 glob

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.

Complete Application

Fill out an application giving your basic profile details.

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Selection Test

Give a short aptitude test and get shortlisted.

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Get shortlisted & receive your offer letter

Our Admissions Committee will review your test score & profile. Upon qualifying, an offer letter will be sent to you confirming your admission in Master's in Machine Learning & Artificial Intelligence.

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Confirm your seat & begin with your prep - course

Confirm your seat by enrolling into the program and making the initial caution payment. Begin your preparatory course & start your career in Machine learning & AI.

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Frequently Asked Questions

Program Details

1. How do I know if this program is for me?

This program is for you if you are a:
Data Scientist or Senior Data Analyst: If you are comfortable with data wrangling, have implemented statistical or machine learning models in the past, and have spent at least 2 years as a working professional. You should also have some experience with R/Python/Scala.
Statistician: If you received formal education in statistics or mathematics and have at least 2 years of working experience.
Data Engineer/Big Data Engineer: If you have at least 2 years of experience in creating data pipelines/handling data warehouses and you have created ETL procedures. In addition, you should be familiar with various frameworks and tools like Hadoop and Spark.
Software Developer: If you have worked on creating and deploying software/apps for at least 4 years, you are comfortable with object-oriented programming and know C/C++/Java/Python or a similar language.

2. How will this program benefit me?

The program will benefit you in different ways depending on your prior experiences:
Data Scientist or Senior Data Analyst: The program will familiarise you with the advancements in ML and AI. It will also help you understand the mathematics behind algorithms and how you can modify them to suit your needs so that you can transition to a Senior Data Science or Machine Learning role.
Statistician/Mathematician: Apart from familiarising you with the advancements in ML and AI, the program will help you understand how to define a structured approach to solve a business problem, and equip you with the right tools so that you can transition to a Machine Learning or Data Science role.
Data Engineer/Big Data Engineer: The program will set up a solid foundation of Statistics, Machine Learning, and AI along with problem-solving skills so that you can solve enterprise-level problems. It will build upon your existing knowledge of various tools to make you a Full-Stack Machine Learning or Data Science professional.
Software Developer: The program will help you create a strong foundation of Statistics, Machine Learning, and Business Understanding. It will leverage your existing knowledge of programming and expand the technologies you are familiar with so that you can become a well-rounded Machine Learning professional.

3. What is this program intended to do?

This program intends to produce extremely well-rounded data scientists and AI professionals with deep knowledge of mathematics, expertise in relevant tools/languages, and an understanding of cutting-edge algorithms and applications.

4. What can I expect out of this program?

This program is designed for working professionals looking to pick up skills in advanced concepts like Reinforcement Learning, Graphical Models, NLP, Deep Learning along with a solid foundation of Statistics. This program demands consistent work and time commitment over the entire duration of 18 months.

5. What should I NOT expect from this program?

This program is NOT intended to serve as an entry point to the field of Data Science. It is aimed at developing professionals who can be absorbed into Senior Data Scientist and Machine Learning/AI roles. Our Master's Degree in Machine Learning Program is aimed at facilitating the transition of professionals to the Machine Learning field.

6. Is there any certification at the end of the program?

Post completion of the program, a certificate in Executive PG Program in Machine Learning and AI will be granted from IIIT Bangalore and a Master's Degree from LJMU.

7. What online resource does LJMU provide for students to confirm the validation of awards and what information can be found there regarding their collaborative partnerships?

Please find the link to the LJMU Collaborative Provision Register, where students can verify validation of the award on the LJMU web pages.

8. Where can one access comprehensive details about the MSc ML & AI program at LJMU, including its structure and specific program requirements?

Please find the link to the Program Specifications of the MSc ML & AI program on the LJMU website.

1. What type of learning should I expect?

The content will be a mix of asynchronous lectures from industry leaders as well as world-class faculty. Additionally, the program comprises of some live lectures or hangout sessions dedicated to solving your academic queries and to reinforce learning.

1. What is the selection process for this program?

upGrad, IIITB, LJMU, world-class faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the candidates can receive the best possible learning experience. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Machine Learning and AI.

The applicants will have to take a selection test designed to check their mathematical and programming abilities. The applicants can skip the test if they meet the following criteria:

Minimum 1 year of work experience in a technical domain or a degree in mathematics or Statistics with programming experience.

The applicants will have to take a selection test designed to check their mathematical and programming abilities. The applicants can skip the test if they meet the following criteria:

Minimum 1 year of work experience in a technical domain or a degree in mathematics or Statistics with programming experience.

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:

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.

upGrad Learner Support

Monday to Saturday | 24 Hours.

Phone Number

+1 (240) 719- 6120

Email Address

globaladmissions@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.

Master of Science in Machine Learning & AI

Introduction To Master's In AI And ML From LJMU

Key Highlights Of Masters In AI & ML

Program Benefits

Career Paths

Practical Learning and Networking

Student Support

Program Benefits

The program prepares you for several in-demand data roles

We provide a blended peer to peer learning and networking experience

Student Support

Masters In AI And ML Certification

Master's Degree from LJMU

Explore Our Learning Platform

LJMU Masters In AI And ML Syllabus

Stats and EDA

Topics (5)

Machine Learning - I

Topics (6)

Machine Learning - II

Topics (9)

Deep Learning

Topics (9)

Natural Language Processing

Topics (6)

ELective : MLops Elective

Topics (14)

Elective : Generative AI Elective

Topics (15)

Capstone

Research Methodologies

Topics (6)

Master's Dissertation

Topics (7)

INSTRUCTORS

Dr. Gabriela Czanner

Prof. Dhiya Al-Jumeily

Dr. Debabrata Das

Prof. Chandrashekar Ramanathan

Prof. Tricha Anjali

Prof. G. Srinivasaraghavan

S. Anand

Mirza Rahim Baig

Sajan Kedia

Rajesh Sabhapaty

Ujjyaini Mitra

MS In AI And ML - Projects

Credit EDA Assignment

Skills learned

Model Selection Case Study -Telecom Churn

Skills learned

Advanced ML Case Study - Telecom Churn

Skills learned

Lending Club Case Study

Skills learned

Bike Sharing Assignment

Skills learned

Advanced Regression Assignment

Skills learned

Melanoma Detection Assignment

Skills learned

Gesture Recognition Project

Skills learned

Custom Entity detection in Healthcare data

Skills learned

Classification of customer complaints

Skills learned

Lead Scoring

Skills learned

Style Transfer using GAN's

Skills learned

Sales Forecasting

Skills learned

Eye for the Blind

Skills learned

Sentiment analysis based Product Recommender system

Skills learned

News Recommender System

Skills learned

Machine Learning Masters Programs Class Profile

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