Liverpool : Master of Science in Data Science

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Course Duration

18 Months

Commencement Date

31st August 2023

Application End Date

17th August 2023

Session Timing

approx 15 hours per week

Overview

Syllabus

Faculty

Certificate

Fee

Liverpool : Master of Science in Data Science Program Overview

Secure a bright future for your career in data science with the right specialisation. Upskill with a globally recognised MS from Liverpool John Moores University

Programme Highlights

Career Essential Soft Skills Program

60+ Case Studies and Projects

Global access to job opportunities

High performance coaching (1:1)

IIIT Bangalore & LJMU Alumni Status

500+ Hours of Learning

Eligibility Criteria

Bachelor’s Degree with minimum 50% or equivalent passing marks, and successful completion of the Executive PG Program in Data Science from IIITB. No coding experience required.

DOWNLOAD SYLLABUS

Syllabus Breakdown

Introduction to Python
Programming in Python
Python for DS
Data Visualisation in Python
Exploratory Data Analysis
Credit EDA Assignment
Inferential Stats
Hypothesis Testing
Basics of SQL
Advanced SQL
SQL – RSVP Movies Case Study
Buffer

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
Buffer

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
Analytical Thinking and Structured Problem Solving using Frameworks
Data Storytelling
Airbnb Case Study
Data Structures and Algorithms
Searching & Sorting
Algorithm Analysis and Recursion
Advanced Database Programming using Pandas
SQL & Python Lab
Capstone

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
Analytical Thinking and Structured Problem Solving using Frameworks
Data Storytelling
Airbnb Case Study
Fundamentals of Transformers Architecture, 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 Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
Interview Gynie AI: Chatbot Development Project
Capstone

Bagging & Random Forest
Boosting
Model Selection
PCA
Advanced Regression + Time Series Forecasting (Optional)
Advanced ML case study
Introduction to Neural Networks and ANN
Backpropogation & Hyperparameter Tuning in Neural Networks
Introduction to Convolutional Neural Networks
CNN Architectures and Industry Applications + Recurrent Neural Networks (Optional)
Applications of DL in CV: Object Detection Image Segmentation (Optional)
Gesture Recognition Case Study
Fundamentals of Transformers Architecture, 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 Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
Interview Gynie AI: Chatbot Development Project
Capstone

Bagging & Random Forest
Boosting
Model Selection
PCA
Advanced Regression + Time Series Forecasting (Optional)
Advanced ML Case Study
Neural Nets for NLP
Syntactic Processing
Introduction to Semantic Processing & Distributional Semantics
Semantic Processing – Topic Modelling
Advanced DL in NLP: Attention Mechanism
Automatic Ticket Classification
Fundamentals of Transformers Architecture, 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 Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
Interview Gynie AI: Chatbot Development Project
Capstone

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
Hive and Quering + Optional Assignment
Introduction to Apache Spark+ Optional Assignment
Amazon Redshift
ETL Project
Optimizing Spark for Large scale processing
Real-Time Data Streaming with Apache Kafka
Real-Time Data Processing using Spark Streaming + Assignment (Optional) + Apache Flink (Optional)
Building Automated Data Pipelines with Airflow
Analytics using PySpark+ Optional Assignment
Retail Project
Capstone

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

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

About About Liverpool John Moores University

Liverpool John Moores University is a public research university in the city of Liverpool, England. The university can trace its origins to the Liverpool Mechanics’ School of Arts, established in 1823. This later merged to become Liverpool Polytechnic.

Sample Certificate

Earn a Masters of Science(MS) in Data Science degree which is recognized by WES, at 1/10th the cost of an offline program

FEE STRUCTURE:

Application Fee
INR

Total Fee
INR 550000.00

INSTALLMENT PATTERN

No Cost EMI Available

Take advantage of our no-cost EMI option, making it convenient for you to finance your education effortlessly.

Attractive Scholarships

We also provide attractive scholarships for defence personnel, government employees, differently-abled individuals, and meritorious students.

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Admission Process

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Frequently Asked Questions

Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.

The program has 22 weeks of common curriculum and 22 weeks of the specialization and capstone project. Once you’re through the 21 weeks of curriculum common to all the five tracks, you will be prompted to choose your specialisation.

Each specialization is designed to give you the best outcome based on your background and help you venture into the data domain. The services and support for all the tracks will remain the same. Every student will have live sessions, industry mentorship, preparatory support, and access to relevant opportunities according to the requirements in their specialization track.

Peer-to-peer discussion forum where you can post your queries and your peers/faculty/teaching assistants answer your queries within a day. Regular Q&A sessions with faculty to get clarification on conceptual doubts.

Absolutely! Data Science is becoming a necessity for all industries and is no more a choice. Hence, there is a critical demand for quality data professionals and because the supply is constrained, this is one of the most lucrative career options across industries.