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In Collaboration with

Master Of Science In Data Science

IT & Technology , Big Data Analytics

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Enrolment closes on 30 Nov, 2022

Want to know more? enquire now

or call us on 7982064837

  • Duration: 18 Months

  • 30 Nov, 2022

    Start Date

Enrolment closes on 30 Nov, 2022

Want to know more? enquire now

or call us on 7982064837

About this course

This Master's degree is an engaging yet rigorous 18-month online program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certificate is awarded by LJMU on completion of the course. The course curriculum includes 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 is designed for working professionals looking for a transition or growth into the data domain.

Considering the requirements of different data roles in the industry, the curriculum is divided into six tracks. These six tracks will have a common curriculum running for approximately 5-6 months that everyone will go through. After its completion they have to do one specialization course and a capstone project in the remaining 6-7 months. 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 specialization. You can choose whatever specialization you like once you are through the common curriculum. However, it is advised to take up the recommendation provided by us as this is based on a sophisticated rule engine and is meant to give you the best outcome for your background which will, in turn, make it easier for you to switch to a data role.

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This Master's degree is an engaging yet rigorous 18-month online program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certificate is awarded by LJMU on completion of the course. The course curriculum includes several industry-relevant projec... Read More

Get a deeper understanding of

  • Linear & Logistic Regression
  • Data Analysis using SQL
  • Basics of NLP and Text Mining
  • Research Methodologies
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Key skills you’ll learn

  • Statistics
  • Predictive Analytics using Python
  • Machine Learning
  • Data Visualization
  • Big Data Analytics

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Benefits for All Students

Are You Eligible?

Are You Eligible

Education

  • 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.

Syllabus at a Glance

  • Data Analysis in Excel
  • Analytics Problem Solving
  • 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
  • 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
  • Bagging & Random Forest
  • Boosting
  • Model Selection & General ML Techniques
  • Principal Component Analysis
  • Advanced Regression
  • Advanced ML Case Study
  • 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
  • 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
  • Bagging & Random Forest
  • Model Selection & General ML Techniques
  • Time Series Forecasting
  • Model Selection Case Study
  • Visualization using Tableau
  • Advanced Excel
  • Visualization using PowerBI
  • Structured Problem Solving using Frameworks
  • Data Storytelling
  • AirBnB Case Study
  • Operations Research in Excel
  • Data Architecture
  • Data Strategy
  • Business Case Study
  • Capstone Project
  • Data Modelling
  • Advanced SQL and Best Practices
  • Introduction to Big Data and Cloud
  • Analytics using Spark
  • Big Data Case Study
  • Visualization using Tableau
  • Advanced Excel
  • Visualization using PowerBI
  • Structured Problem Solving using Frameworks
  • Data Storytelling
  • AirBnB Case Study
  • Data Structures - Sets, Dictionaries, Stacks, Queues
  • Searching and Sorting
  • Algorithm Analysis + Recursion
  • Advanced Database Programming using Pandas
  • Python & SQL Lab
  • Capstone Project
  • 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 Pipeline
  • 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
  • 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

  • Data Analysis in Excel
  • Analytics Problem Solving

  • 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

  • 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

  • Bagging & Random Forest
  • Boosting
  • Model Selection & General ML Techniques
  • Principal Component Analysis
  • Advanced Regression
  • Advanced ML Case Study
  • 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

  • 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

  • Bagging & Random Forest
  • Model Selection & General ML Techniques
  • Time Series Forecasting
  • Model Selection Case Study
  • Visualization using Tableau
  • Advanced Excel
  • Visualization using PowerBI
  • Structured Problem Solving using Frameworks
  • Data Storytelling
  • AirBnB Case Study
  • Operations Research in Excel
  • Data Architecture
  • Data Strategy
  • Business Case Study
  • Capstone Project

  • Data Modelling
  • Advanced SQL and Best Practices
  • Introduction to Big Data and Cloud
  • Analytics using Spark
  • Big Data Case Study
  • Visualization using Tableau
  • Advanced Excel
  • Visualization using PowerBI
  • Structured Problem Solving using Frameworks
  • Data Storytelling
  • AirBnB Case Study
  • Data Structures - Sets, Dictionaries, Stacks, Queues
  • Searching and Sorting
  • Algorithm Analysis + Recursion
  • Advanced Database Programming using Pandas
  • Python & SQL Lab
  • Capstone Project

  • 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 Pipeline
  • 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

  • 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

Learn from the Best Faculty

Fee Structure for

Instalment Schedule

Block Payment
INR 21187 + GST Due by: 30 Nov, 2022
Block Payment
USD 0 Due by: 30, Nov, 2022
Balance Payment
INR 401694 + GST Due by: 07 Dec, 2022
Balance Payment
USD 0 Due by: 07, Dec, 2022
Immersion Add-on (optional)
INR 169491 + GST Due by: 07 Dec, 2022
Immersion Add-on (optional)
USD 0 Due by: 07, Dec, 2022
OR
Pay for Total Amount
INR 422881 + GST Due by: 30, Nov, 2022
Pay for Total Amount
USD 0 Due by: 30, Nov, 2022

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