Master of Science in Data Science

Category:

Master of Science in Data Science

Kick-start your Data Science journey with a globally recognised Master’s from Liverpool John Moores University. Start learning at Rs. 11,850 per month.
Eligibility:
Bachelor’s degree with 50% mandatory.

5 out of 6 learners get positive career growth
upGrad Results reviewed by Deloitte

Program Overview

Key Highlights

Complimentary Python Programming Bootcamp
Career Essential Soft Skills Program
Only online M.Sc in DS for working professionals
500+ Hours of Learning
60+ Case Studies and Projects
Fortnightly Group Mentorship with Industry Mentors
Daily Doubt Resolution Support
Support available 7 days, 24×7
IIIT Bangalore & LJMU Alumni Status
Global access to job opportunities
No Cost EMI Option
NASSCOM certificate
Career mentorship Sessions(1:1)
AI Powered Profile Builder
Just-in-Time Interviews
High Performance Coaching(1:1)
Personalised Industry Session
Career Bootcamp

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Pre-Program Preparatory Content

Data Analysis in Excel

Analytics Problem Solving

Course 1: Data Toolkit

Introduction to Python

Programming in Python

Python for Data Science

Data Visualization in Python

Exploratory Data Analysis

Credit EDA Case Study

Inferential Statistics

Hypothesis Testing

Data Analysis using SQL

Advaced SQL & Best Practices

SQL Assignment: RSVP Movies

Course 2: Machine Learning-I

Linear Regression

Linear Regression Assignment

Logistic Regression

Classification using Decision Trees

Unsupervised learning: Clustering

Basics of NLP and Text Mining

Business Problem Solving

Case Study: Lead Scoring

Specialization- Deep Learning

Bagging & Random Forest

Boosting

Model Selection & General ML Techniques

Principal Component Analysis

Advanced Regression

Advanced ML case Stuy

Time Series Analysis

Introduction to Neural Networks and ANN

Neural Network Assignment

Convolutional Neural Networks

Convolutional Neural Networks -Industry Applications

Object Detection & Image Segmentation (Optional)

Recurrent Neural Networks

Gesture Recognition

Capstone Project

Specialisation - Natural Language Processing

Bagging & Random Forest

Boosting

Model Selection & General ML Techniques

Principal Component Analysis

Advanced Regression

Advanced ML Case Study

Time Series Forecasting

Neural Nets for NLP

Syntactic Processing

Syntactic Processing Assignment

Semantic Processing

Applied DL in NLP

Case Study: Automatic Ticket Classification

Capstone Project

Specialisation - Business Analytics

Visualisation using Tableau

Advanced Excel

Visualisation using PowerBI

Structured Problem Solving using Frameworks

Data Storytelling

AirBnB Case Study

Bagging & Random Forest

Model Selection & General ML Techniques

Time Series Forecasting

Model Selection Case Study

Operations Research in Excel

Data Architecture

Data Strategy

Business Case Study

Capstone Project

Specialisation - Business Intelligence/Data Analytics

Visualisation using Tableau

Advanced Excel

Visualisation using PowerBI

Structured Problem Solving using Frameworks

Data Storytelling

AirBnB Case Study

Data Modelling

Advanced SQL and Best Practices

Introduction to Big Data and Cloud

Analytics using Spark

Big Data Case Study

Data Structures - Sets, Dictionaries, Stacks, Queues

Searching and Sorting

Algorithm Analysis Recursion

Advanced Database Programming using Pandas

Python & SQL Lab

Capstone Project

Specialisation - Data Engineering

Data Management and Relational Database Modelling

Introduction to Big Data(Optional)

Introduction to Cloud and AWS Setup

Introduction to Hadoop and MapReduce Programming

Assignment (Optional)

NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB(Optional)

Data Warehousing (Optional)

Data Ingestion with Apache Sqoop and Apache Flume

Map reduce Programming Assignment

Hive & Querying

Assignment (Optional)

Amazon Redshift

Introduction to Apache Spark

Project: ETL Data Pipline

AWS Cloud Infrastructure (Optional)

Optimising Spark for Large Scale Data Processing

Apache Flink(Optional)

Real-Time Data Streaming with Apache Kafka

Real-Time Data Processing using Spark Streaming

Assignment (Optional)

Building Automated Data Pipelines with Airflow

Analytics using PySpark

Project: Real Time data processing

Capstone Project

Research Methodologies

Introduction to Research and Research Process

Research Design

Literature Reviewing

Research Project Management

Report Writing and Presentation Skills

Scientific Ethics

Master's Dissertation

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

Top Subjects you will learn

Statistics, Predictive Analytics using Python, Machine Learning, Data Visualization, Big Data Analytics, etc.

Job Opportunity

Data Analyst, Data Scientist, Product Analyst, Machine Learning Engineer, Business Analyst

Who Is This Programme For?

Any specialization can be chosen regardless of background. The program caters to: Engineers, Marketing & Sales Professionals, Freshers, Data Professionals, Domain Experts, Software & IT Professionals

Minimum Eligibility

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.