Courses

Master of Science in Data Science for Leaders

India's best selling program with 4.5* star rating. Learn in-demand skills to drive your organisation towards a new future through data-driven decision making.

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  • 12,600+
    Students Empowered
  • Format
    Online
  • 18 months
    Recommended 10-12 hrs/week
  • Sep 29, 2020
    Start Date
  • 300+
    Hiring Partners
  • Learning
  • Syllabus
  • Specialisations
  • Projects
  • Benefits
  • Careers
  • Admission Process
  • Fees
  • Reviews

Program Overview

Key Highlights

  • Designed for Business Leaders
  • 300+ Hours of Learning
  • 75+ Case Studies and Projects
  • Peer-to-Peer Networking
  • Use Case Based Learning
  • Personalised Industry Mentorship
  • IIIT Bangalore & LJMU Alumni Status
  • Profile Building & Resume Review
  • Top Skills You Will Learn
    Identifying business problems, creating ML pipelines, implementing ML projects, evaluating models
  • Who Is This Program For?
    Business Unit Heads, Management Consultants, Product Managers, Domain Experts, Experienced Tech Leaders
Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects

Programming Languages and Tools Covered

Master's Degree from LJMU

Complete all the courses successfully to obtain this prestigious recognition from LJMU.

  • Connect with Global network of Faculty from LJMU
  • Get access to complete digital library of LJMU
  • Earn a Master's degree same as on-campus degree at 1/10th the cost
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Instructors

Learn from leading Data Science faculty and industry leaders

Syllabus

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
  • Preparatory Course
    • 2 Weeks
  • Analytics as a Strategic Lever
    • 6 Weeks
    • 1 Assignments
  • Traditional Decision Making Strategies
    • 7 Weeks
    • 2 Assignments
  • Decision Making using Machine Learning
    • 7 Weeks
    • 1 Assignments
  • Decision Making using Advanced Models
    • 8 Weeks
    • 2 Assignments
  • Data Engineering & Deployment
    • 5 Weeks
    • 1 Assignments
  • Data Science Project Management
    • 5 Weeks
    • 1 Assignments
  • Bridge Course: Road to Masters
    • 6 Weeks
  • Research Methodologies
    • 8 Weeks
  • Master's Dissertation
    • 16 Weeks
  • 300+
    Hours of Content
  • 75+
    Case Studies and Projects
  • 20+
    Live Sessions
  • 20+
    1:8 Coaching Sessions with Industry Experts
  • 15
    Tools and Software

Specialisations

You can choose one of the 5 specialisation, based on your interest.

  • Deep Learning
  • Natural Language Processing
  • Business Intelligence
  • Business Analytics
  • Data Engineering
  • Topics Covered

    Deep Learning
    • 19 Weeks
    • 4 Assignment
    Tree Models
    14hr
    Model Selection & General ML Techniques
    7hr 30min
    Bagging and Boosting
    12hr
    Advanced Regression
    12hr
    Advanced Regression Assignment
    12hr 30min
    Principal Component Analysis
    8hr
    Time Series Analysis
    10hr
    Telecom Churn Case Study
    14hr
    Introduction to Neural Networks
    30hr
    Neural Networks Assignment
    12hr
    Convolutional Neural Networks - Introduction and Industry Applications
    20hr
    Recurrent Neural Networks
    15hr
    Gesture Recognition
    20hr
    Capstone project
    40hr
    Tools Covered

    Project

    Capstone Project
    Choose from a range of real-world industry woven projects on advanced topics...
    Learn More
  • Topics Covered

    Natural Language Processing
    • 19 Weeks
    • 4 Assignment
    Tree Models
    14hr
    Model Selection & General ML Techniques
    7hr 30min
    Bagging and Boosting
    12hr
    Advanced Regression
    12hr
    Advanced Regression Assignment
    12hr 30min
    Principal Component Analysis
    8hr
    Time Series Analysis
    10hr
    Telecom Churn Case Study
    14hr
    Lexical Processing
    10hr
    Syntactic Processing
    30hr
    Syntactic Processing Assignment
    10hr
    Semantic Processing
    10hr
    Chatbot Case Study
    80hr
    Capstone project
    40hr
    Tools Covered

    Project

    Capstone Project
    Choose from a range of real-world industry woven projects on advanced topics...
    Learn More
  • Topics Covered

    Business Intelligence
    • 19 Weeks
    • 4 Assignment
    Introduction to Databases
    8hr
    Advanced SQL and Best Practices
    9hr
    Schema Design and Retrieval Assignment
    8hr
    NoSQL Databases and Best Practices
    30hr
    Introduction to Cloud and Hive
    12hr
    SQL Case Study: Analysing Big Data in Retail
    14hr
    Advanced Excel
    10hr
    Visualisation using Tableau
    16hr
    Interactive Marketing Campaign Analysis
    10hr
    Visualisation using PowerBI
    9hr
    Introduction to R and RShiny
    14hr
    Effective Communication Strategies, Formats, and Templates
    8hr
    Presentations to Technical and Non-Technical Stakeholders
    8hr
    Business Case Study
    16hr
    Capstone Project
    40hr
    Tools Covered

    Project

    Capstone Project
    Choose from a range of real-world industry woven projects on advanced topics...
    Learn More
  • Topics Covered

    Business Analytics
    • 19 Weeks
    • 4 Assignment
    Tree Models
    14hr
    Time Series Analysis
    20hr
    Retail-Giant Sales Forecasting Assignment
    9hr
    Model Selection & General ML Techniques
    7hr 30min
    Telecom Churn Case Study
    14hr
    Advanced SQL and Best Practices
    9hr
    Advanced Excel
    10hr
    Structured Problem Solving using Frameworks
    9hr
    Hypothesis Formulation
    9hr
    Assignment
    8hr
    Revenue and Operational Cost Modelling
    8hr 30min
    Introduction to Economics and Financial Concepts
    12hr
    Effective Communication Strategies, Formats, and Templates
    8hr
    Presentations to Technical and Non-Technical Stakeholders
    8hr
    Business Case Study
    16hr
    Capstone project
    40hr
    Tools Covered

    Project

    Capstone Project
    Choose from a range of real-world industry woven projects on advanced topics...
    Learn More
  • Topics Covered

    Data Engineering
    • 19 Weeks
    • 4 Assignment
    Introduction to Hadoop and MapReduce Programming
    12hr
    Data Management and Relational Database Modelling
    8hr
    NoSQL Databases and Apache HBase
    12hr
    Data Warehousing (Optional)
    8hr
    Data Ingestion with Apache Sqoop and Apache Flume
    12hr
    Assignment (Optional)
    15hr
    Building and Querying Data Warehouse with Apache Hive
    20hr
    Case Study: Ingestion & Warehousing
    20hr
    Data Processing with PySpark
    20hr
    Real-Time Data Streaming with Apache Kafka
    12hr
    Real-Time Data Processing using Spark Streaming
    12hr
    Assignment (Optional)
    15hr
    Building Automated Data Pipelines with Oozie/Airflow
    12hr
    Analytics using PySpark
    20hr
    Case Study: Kafka, Spark Streaming and PySpark
    20hr
    Capstone Project
    40hr
    Tools Covered

    Project

    Capstone Project
    Choose from a range of real-world industry woven projects on advanced topics...
    Learn More

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
  • Personalised subjective feedback on your submissions to facilitate improvement
  • Uber Supply-Demand Gap
    Use analytics to identify why Uber sometimes faces a supply-demand challenge...
    Learn More
  • Creditworthiness of Customers
    Learn how Predictive Analytics can be used to decide the creditworthiness of...
    Learn More
  • Speech Recognition
    Learn how Google speech-to-text works and make your own model.
    Learn More
  • Image Captioning
    Build a model which will caption a given image and describe it in sentences ...
    Learn More
  • Social Media Listening
    What if you could predict the popularity of a brand like upGrad in India?
    Learn More
  • Telecom Churn
    Telecom companies often face the problem of churning customers due to the co...
    Learn More
  • IMDb Movie Analysis
    Analyze movie data from the past hundred years and find out various insights...
    Learn More
  • Lead Scoring
    Learn how the knowledge of basic machine learning algorithms can be used to ...
    Learn More
  • Fraud Detection
    Decline fraud transactions on a credit card in real-time to minimize the los...
    Learn More
  • Retail-Giant Sales Forecasting
    Help a retail-giant to have a clear idea of how their sales will look like i...
    Learn More
  • Interactive Marketing Campaign Analysis
    Research and analyse data from a marketing campaign to gain valuable insight...
    Learn More
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
  • Industry Mentors
    • Receive unparalleled guidance from industry mentors, teaching assistants and graders
    • Receive one-on-one feedback on submissions and personalised feedbacks on improvement
    Student Success Mentors
    • A dedicated Success Mentors is allocated to each student so as to ensure consistent progress
    • Success Mentors are your single points of contact for all your non-academic queries
  • Q&A Forum
    • Timely doubt resolution by Industry experts and peers
    • 100% Expert-verified responses to ensure quality learning
    Expert Feedback
    • Personalised expert feedback on assignments and projects
    • Regular live sessions by experts to clarify concept related doubts
  • upGrad BaseCamp
    • Fun-packed, informative and career building workshops Sessions by industry professionals and professors
    • Group activities with your peers and alumni
    Industry Networking
    • Live sessions by experts on various industry topics
    • One-on-one discussion and feedback sessions with industry mentors

Over 500 Careers Transformed

Learn more about successful career transitions in the
Career Transition Handbook
58%
Average Salary Hike
72L
Highest Salary
500+
Career Transitions
300+
Hiring Partners
Career Counselling
Get personalised career pathing from experts to chart out best opportunities
Learn More
Resume Feedback
Obtain specific, personalised inputs on your resume structure and content
Learn More
Interview Preparation
Receive one-on-one mock interviews conducted by industry mentors and detailed feedback after an interview
Learn More
Job Assistance
Get an opportunity to interview for upGrad's 300+ hiring partners
Learn More

Our Students Work At

Career Transition Handbook
Learn more about successful career transitions from PG Diploma in Data Science by IIIT Bangalore
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Admission Process

There are 3 simple steps in the Admission Process which is detailed below:

Program Fee
₹ 485,000
No Cost EMI at ₹27,621/month (inclusive of all taxes)
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    How You Benefit From This Program
    • M.Sc & Post Graduate Diploma without quitting your job
    • Cutting-edge curiculum designed by industry experts
    • Alumni status from IIIT Bangalore & LJMU
    • Career transition With up to average 58% salary hike
    • Hiring opportunities from Uber, Microsoft, PwC, Genpact and more
    I’m Interested in This Program
    Our Hiring Partners
    Opening the doors to the best in the industry

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