Liverpool John Moores University - Liverpool John Moores University - Master of Science in Data Science
- Offered byupGrad
- Private Institute
- Estd. 2015
Liverpool John Moores University - Master of Science in Data Science at upGrad Overview
Duration | 18 months |
Start from | Start Now |
Total fee | ₹4.99 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Degree |
Liverpool John Moores University - Master of Science in Data Science at upGrad Highlights
- Earn a degree after completion of course from Liverpool John Moores University
- Global access to job opportunities
- Support available 7 days, 24x7
- IIIT Bangalore & LJMU Alumni Status
- Work on 60+ Case Studies and Projects
- No Cost EMI Options Available
Liverpool John Moores University - Master of Science in Data Science at upGrad Course details
Individuals with technical backgrounds
Software Engineers, System Analysts, Database Administrators seeking advanced analytics
Data Analysts, Data Scientists, ML Engineers who aspire to grow in their respective professions
Sales Professionals, IT Engineers, Product Managers, and other non-technical individuals aspiring to make a career in data science or grow in the same field
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
Personalised subjective feedback on your submissions to facilitate improvement
A global Data Science qualification with one of the most popular and outcome-oriented dual-accredited Master’s Degree program, offered in collaboration with UK’s Liverpool John Moores University (LJMU) and India’s IIIT Bangalore
This rigorous, industry-aligned curriculum combines advanced data science concepts with emerging technologies, including Generative AI
This program makes it easy for anyone to switch to a data science career as the curriculum is designed for working professionals from diverse backgrounds
Liverpool John Moores University - Master of Science in Data Science at upGrad Curriculum
Data Toolkit
Programming in Python
Introduction to Python
Python for DS
Data Visualisation in Python
Exploratory Data Analysis
Credit EDA Assignment
Inferential Stats
Machine Learning-1
Linear Regression - I
Linear Regression - II + Gradient Descent for SLR
Linear Regression Assignment
Logistic Regression - I
Logistic Regression - II
Classification using Decision Trees
Unsupervised Learning: Clustering
Basics of NLP and Lexical Processing
Business Problem Solving + Intro to GIT and GITHUB
Case Study: Lead Scoring
Data Analytics
Data Modelling
Advanced SQL Programming
Introduction to Cloud and AWS
Analytics at Large Scale in Spark - I
Analytics at Large Scale in Spark - II
Big Data Case Study
Basic Viz. using Tableau
Advanced Excel
Data Analysis and Visualisation in PowerBI
Business Analytics
Bagging & Random Forest
Model Selection - I
Model Selection - II
Time Series Forecasting - I
Time Series Forecasting - II
Model Selection Case Study
Basic Viz. using Tableau
Advanced Excel
Data Analysis and Visualisation in PowerBI
Natural Language Processing
Analytical Thinking and Structured Problem Solving using Frameworks
Data Storytelling
Airbnb Case Study
Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
Integrating speech using Whisper API and application deployment using Flask
Interview Gynie AI: Chatbot Development Project
Deep Learning
Bagging & Random Forest
Boosting
Model Selection
PCA
Advanced Regression + Time Series Forecasting (Optional)
Advanced ML case study
Introduction to Neural Networks and ANN
Data Engineering
Data Management and Relational Database Modelling
Introduction to Cloud and AWS Setup
Introduction to Hadoop and MapReduce Programming
NoSQL Databases and Apache HBase
Data Ingestion with Apache Sqoop and Apache Flume
MapReduce Programming Assignment
Research Methodologies
Introduction to Research and Research Process
Research Design
Literature Reviewing
Research Project Management
Report Writing and Presentation Skills
Master’s Dissertation
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