Master of Science in Machine Learning & AI - Liverpool John Moores University
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Key Information
Select location
Campus location
Online
Languages
English
Study format
Distance learning
Duration
20 Months
Pace
Part time
Tuition fees
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Application deadline
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Earliest start date
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Scholarships
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Introduction
India's best-selling program with a 4.5-star rating. Learn in-demand skills such as Deep Learning, NLP, Reinforcement Learning & work on 12+ industry projects, multiple programming tools & a dissertation.
Key Highlights
- Only online M.Sc in ML & AI for working professionals
- WES (World Education Services) Recognised
- 12+ industry projects & assignments and choose 6 options out of 10 Capstone Projects
- 25+ Mentorship Sessions from Industry Experts
- IIIT Bangalore & LJMU Alumni Status
- LJMU Supervisor for guidance on Research & Dissertation
- Support available all days 24 hours for queries
- Live sessions with Global Experts
Program Outcome
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 recognised by WES, at 1/10th the cost of an offline program
Executive PGP from IIIT Bangalore
Complete all the courses successfully to obtain this prestigious recognition from IIIT Bangalore. IIIT Bangalore is a deemed university by UGC, AICTE approved & in the Top 70 Engineering Universities as per NIRF Rankings.
- Gain IIITB Alumni status & connect with a global network of accomplished IIITB alumni
- Recognised by WES (World Education Services), the Executive PGP in Machine Learning & AI will get you one step closer to opportunities abroad
- Build a strong network for life with opportunities to connect to Machine Learning Industry experts & your experienced fellow learners
Curriculum
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions.
Data Science Tool Kit
3 Weeks
- Introduction to Python
- Python for Data Science
- Data Visualisation in Python
- Data Analysis Using SQL (Optional)
- Advanced SQL and Best Practices (Optional)
- Data Analysis in Excel (Optional)
- Analytics Problem Solving (Optional)
Statistics and Exploratory Data Analytics
5 Weeks - 2 Assignments
- Exploratory Data Analysis
- Investment Assignment
- Inferential Statistics
- Hypothesis Testing
- Lending Club Case Study
Machine Learning - I
6 Weeks - 1 Assignment
- Linear Regression
- Assignment: Linear Regression
- Logistic Regression
- Naive Bayes
- Model Selection
Machine Learning - II
7 Weeks - 1 Assignment
- Advanced Regression
- Advanced Regression assignment
- Support Vector Machine (Optional)
- Tree Models
- Model Selection - Practical Considerations
- Boosting
- Unsupervised learning: Clustering
- Unsupervised Learning: Principal Component Analysis
- Telecom Churn Case Study
Natural Language Processing
7 Weeks - 2 Assignments
- Lexical Processing
- Syntactical Processing
- Syntactic Processing -Assignment
- Semantic Processing
- Building Chatbots with RASA
Deep Learning
8 Weeks - 2 Assignments
- Introduction to Neural Networks
- Convolutional Neural Networks - Industry Applications
- Neural Networks - Assignment
- Recurrent Neural Networks
- Neural Networks Project - Gesture Recognition
Reinforcement Learning
6 Weeks - 2 Assignments
- Classical Reinforcement Learning
- Tic Tac Toe Assignment - Classical Reinforcement Learning
- Deep Reinforcement Learning
- Reinforcement Learning Project
Deployment and Capstone Projects
6 Weeks - 2 Assignments
- Deployment
- Capstone
Research Methodologies
8 Weeks
- What is research?
- Types of research?
- Research process
- Research Project Management
- Report writing and presentation
- Scientific ethics
Master's Dissertation
16 weeks
- 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
Industry Projects
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