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    Program Overview

    Key Highlights

    Only online M.Sc in DS for working professionals
    Only online M.Sc in DS for working professionals
    60+ Case Studies and Projects
    60+ Case Studies and Projects
    5 Unique Specialisations
    5 Unique Specialisations
    IIIT Bangalore & LJMU Alumni Status
    IIIT Bangalore & LJMU Alumni Status
    Global access to job opportunities
    Global access to job opportunities

    upGrad has been instrumental in helping us in finding candidates with key skill sets in Data Science and Analytics
    - Val S, Director at Animaker

    animaker

    Over 500 Careers Transformed

    Programming Languages and Tools

    Master's Degree from LJMU
    Complete all the courses successfully to obtain this prestigious recognition from LJMU.
    Master's Degree from LJMU
    Click to zoom
    • Internationally recognized degree
    • Get access to complete digital library of LJMU
    • Earn a Master's degree same as on-campus degree at 1/10th the cost
    Top Skills You Will Learn
    Statistics, Predictive Analytics using Python, Machine Learnview more
    What You Can Become
    Data Analyst, Data Scientist, Business Analyst, Data Engineeview more
    Who is this program for
    Any of the 5 tracks can be chosen by you regardless of the bview more
    Minimum Eligibility
    Bachelor’s degree, no coding experience required

    Empowering learners of tomorrow

    Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

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    Start Application

    Start Application

    Instructors

    Learn from leading Data Science faculty and industry leaders

    Learning

    Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments, and live sessions
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    400+
    Hours of Content Learning
    25
    1:8 Coaching Sessions
    20+
    Live Sessions Overall

    Pre-Program Preparatory Content

    4 Weeks
    0 Assignments
    • Data Analysis in Excel
      8hr 55min
    • Analytics Problem Solving
      12hr
    • Introduction to Python
      6hr
    • Python for Data Science
      10hr

    Data Toolkit

    11 Weeks
    2 Assignments
    • Data Analysis using SQL
      8hr
    • Introduction to Python
      6hr
    • Programming in Python
      20hr
    • Python for Data Science
      10hr
    • Visualization in Python
      6hr
    • IMDb Movie Assignment
      8hr
    • Exploratory Data Analysis
      10hr 30min
    • Inferential Statistics
      9hr
    • Hypothesis Testing
      10hr
    • Credit EDA Case Study
      9hr

    Machine Learning

    9 Weeks
    3 Assignments
    • Introduction to Machine Learning and Linear Regression
      14hr
    • Assignment: Linear Regression
      6hr
    • Logistic Regression
      9hr
    • Business Problem Solving
      15hr
    • Unsupervised learning: Clustering
      8hr 30min
    • Assignment: Unsupervised + Supervised
      8hr
    • Case Study: Lead Scoring
      10hr

    Specialization - Deep Learning

    19 Weeks
    4 Assignments
    • 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

    Specialization - Natural Language Processing

    19 Weeks
    4 Assignments
    • 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
      20hr
    • Capstone Project
      40hr

    Specialization - Business Intelligence

    19 Weeks
    4 Assignments
    • Introduction to Databases
      8hr
    • Advanced SQL and Best Practices
      9hr
    • Schema Design and Retrieval Assignment
      8hr
    • NoSQL Databases and Best Practices
      20hr
    • Introduction to Cloud and Hive
      12hr
    • SQL Case Study: Analysing Big Data in Retail
      14hr
    • Advanced Excel
      10hr
    • Visualization using Tableau
      16hr
    • Interactive Marketing Campaign Analysis
      10hr
    • Visualization 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

    Specialization - Business Analytics

    19 Weeks
    4 Assignments
    • 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
      16hr
    • Business Case Study
      16hr
    • Capstone project
      40hr

    Specialization - Data Engineering

    19 Weeks
    4 Assignments
    • 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

    Research Methodologies

    8 Weeks
    0 Assignments
    • What is research?
    • Types of research
    • Research process
    • Data collection
    • Report writing and presentation
    • Scientific ethics

    Master's Dissertation

    16 Weeks
    0 Assignments
    • 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

    Specialisations

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

    Topics Covered

    Deep Learning

    19 Weeks
    4 Assignment
    Tree ModelsModel Selection & General ML TechniquesBagging and BoostingAdvanced RegressionAdvanced Regression AssignmentPrincipal Component AnalysisTime Series AnalysisTelecom Churn Case StudyIntroduction to Neural NetworksNeural Networks AssignmentConvolutional Neural Networks - Introduction and Industry ApplicationsRecurrent Neural NetworksGesture RecognitionCapstone project

    Tools

    Project

    Capstone Project

    Choose from a range of real-world industry woven projects on advanced topics like Recommendation Systems, Fraud Detection, Emotion Detection from faces, Social Media Listening, Speech Recognition among many others

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    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

    The upGrad Advantage

    Strong hand-holding with dedicated support to help you master Data Science
    benefits

    Regular 1-on-1 interaction with Industry Experts

    Regular 1-on-1 interaction with Industry Experts
    • Discussions on career growth and industry expectations
    • Feedback on project work and assignments
    benefits

    Dedicated Student Success Mentors

    Dedicated Student Success Mentors
    • Help in learning plans ensuring consistent progress
    • Resolve non-academic queries for smooth learning experience
    benefits

    Doubt Resolution on Q&A Forums & WhatsApp Groups

    Doubt Resolution on Q&A Forums & WhatsApp Groups
    • Timely doubt resolution by qualified teachers
    • Regular live Q&A sessions with experts
    benefits

    Networking with Industry Experts & Peers

    Networking with Industry Experts & Peers
    • Live sessions by industry experts on relevant topics
    • Interaction with experts and peers in online and offline events translating into new job opportunities
    benefits

    Job Placement Assistance

    Job Placement Assistance
    • Personalised resume building exercise
    • Mock interviews with our hiring experts
    • Job Interviews with 300+ hiring partners

    Student Reviews