Courses
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. 11,948 per month.
Eligibility:
Bachelor’s degree with 50% mandatory.

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

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Intro Video
  • 2+ Million
    Learners
  • 18 Months
    Recommended 15hrs/week
  • Jul 31, 2022
    Start Date
  • EMI Options
    Starts at Rs. 11,948/month*
  • Overview
  • Instructors
  • Syllabus
  • Specialisations
  • Projects
  • Benefits
  • Careers
  • Admission Process
  • Fees
  • Reviews
About the Program

5 Unique Specialisations

Choose from 5 specialisations as per your background & career aspirations. Get a Executive PG Programme in Data Science from IIITB with a specialisation.

Dedicated Career Assistance

Receive unlimited 1:1 career counselling sessions & mock interviews with hiring managers. Our Alumni work at 5000+ top companies.

Student Support

Student support is available 7 days a week, 24*7. You can write to us via studentsupport@upgrad.com or for urgent queries use the" Talk to Us" option on the learn platform

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, 24x7
  • 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

5 Unique Specializations to choose from
- Deep Learning
- Natural Learning Processing
- Business Intelligence/ Data Analytics
- Business Analytics
- Data Engineering

  • 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.
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 which is recognized by WES, at 1/10th the cost of an offline program
Master's Degree from LJMU
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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
  • Pre-Program Preparatory Content
    • Course 1: Data Toolkit
      • 12 Weeks
    • Course 2: Machine Learning-I
      • 10 Weeks
    • Specialization- Deep Learning
      • 22 Weeks
    • Specialisation - Natural Language Processing
      • 22 Weeks
    • Specialisation - Business Analytics
      • 22 Weeks
    • Specialisation - Business Intelligence/Data Analytics
      • 22 Weeks
    • Specialisation - Data Engineering
      • 22 Weeks
    • Research Methodologies
      • 8 Weeks
    • Master's Dissertation
      • 16 Weeks
    • 500+
      Hours of Learning Content.
    • 25+
      Case Studies and Projects
    • 20+
      Live Sessions
    • 14+
      Tools and Software

    Specialisations

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

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

      Deep Learning
      • 22 Weeks
      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
    • Topics Covered

      Business Intelligence/Data Analytics
      • 22 Weeks
      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
    • Topics Covered

      Data Engineering
      • 22 Weeks
      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
    • Topics Covered

      Natural Language Processing
      • 22 Weeks
      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
      -1hr -1min
      Semantic Processing
      Applied DL in NLP
      Case Study: Automatic Ticket Classification
      Capstone Project
    • Topics Covered

      Business Analytics
      • 22 Weeks
      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

    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
    • IMDb Movie Analysis
      Analyze movie data from the past hundred years and find out various insights...
      Learn More
    • Credit EDA Case Study
      Solve a real industry problem through the concepts learnt in exploratory dat...
      Learn More
    • Bike sharing systems (Linear Regression Assignment)
      Build a model to understand the factors on which the demand for bike sharing...
      Learn More
    • Lead Scoring
      Learn how the knowledge of basic machine learning algorithms can be used to ...
      Learn More
    • Clustering Assignment
      Apply the machine learning concepts learnt to help an international NGO clus...
      Learn More
    • Telecom Churn
      Telecom companies often face the problem of churning customers due to the co...
      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
    • RSVP Movies (SQL Assignment)
      In this assignment, you will work on a movies dataset using SQL to extract e...
      Learn More
    • Hive Case Study
      In this assignment, you will apply your Hive and Hadoop learnings on an E-co...
      Learn More
    • ETL Project
      This is an ETL project which will cover the topics like Apache Sqoop, Apache...
      Learn More
    • Assignment - Structured Problem Solving
      This assignment will test the learners understanding of the previous 2 modul...
      Learn More
    • IPL Visualisation Assignment
      With the IPL season commencing, let's go ahead and do an exciting assignment...
      Learn More
    • Advanced Regression
      Build a regularized regression model to understand the most important variab...
      Learn More
    • NYC Parking: EDA using Apache Spark
      Analyse the dataset of parking tickets
      Learn More
    • MapReduce Programming Assignment
      Practice MapReduce Programming on a Big Dataset.
      Learn More
    • Business Case Study - Staff Planning
      In this module, you will solve an industry case study using optimisation tec...
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    • Assignment - Classification
      This module will contain practice assignment & all resources related to a cl...
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    The upGrad Advantage
    Strong hand-holding with dedicated support to help you master Data Science
    • Learning Support
      Industry Expert Guidance
      • Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
      • Personalised Industry Session in small groups (of 10-12) with industry experts to augment program curriculum with customized industry based learning
      Student Support
      • Student Support is available 7 days a week, 24*7
      • You can write to us via studentsupport@upgrad.com or for urgent queries, use the "Talk to Us" option on the Learn platform.
    • Career Mentorship Sessions (1:1)
      • Get mentored by an experienced industry expert and receive personalised feedback to achieve your desired outcome
      High Performance Coaching (1:1)
      • Get a dedicated career coach after the program to help track your career goals, coach you on your profile, and support you during your career transition journey
      AI Powered Profile Builder
      • Obtain specific, AI powered inputs on your resume and Linkedin structure along with content on real time basis
      Interview Preparation
      • Get access to Industry Experts and discuss any queries before your interview
      • Career bootcamps to refresh your technical concepts and improve your soft skills
    • Networking & Learning Experience
      • Live Discussion forum for peer to peer doubt resolution monitored by technical experts
      • Peer to peer networking opportunities with a alumni pool of 10000+
      • Lab walkthroughs of industry-driven projects
      • Weekly real-time doubt clearing sessions
    • upGrad Opportunities
      • Get access to our virtual hiring drives. Our Alumni work at 5000+ top companies
      • Job Opportunities Portal: Gain exclusive access to upGrad's Job Opportunities portal which has 100+ openings from upGrad's hiring partners at any given time
      • Be the first to know vacancies to gain an edge in the application process
      • Connect with companies that are the best match for you

    Over 500 Careers Transformed

    Learn more about successful career transitions in the
    Career Transition Handbook
    57%
    Average Salary Hike
    ₹73 LPA
    Highest Salary
    500+
    Career Transitions
    Personalised Industry Session
    Sessions by an industry expert for a small group of 10-12 learners with similar profiles to discuss real life applications of concepts and personalised coaching
    Learn More
    High Performance Coaching
    Get a dedicated career coach to help you stay on track to achieve your career goals, coach you on your profile, and support you in your career journey.
    Learn More
    Career Mentorship Sessions (1:1)
    Get personalised career landscaping from experts to chart out best opportunities
    Learn More
    Interview Preparation
    Support in polishing your hard skills and soft skills for interview preparation
    Learn More

    upGrad Alumni

    Admission Process

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

    Programme Fee - Indian Residents
    INR 4,99,000 (incl. taxes)
    Starting at Rs. 11,948/month. No cost EMI options available
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      Empowering learners of tomorrow

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

      How You Benefit From This Program
      • M.Sc & Executive PG Programme in Data Science without quitting your job
      • Cutting-edge curriculum designed by industry experts
      • Alumni status from IIIT Bangalore & LJMU
      • Career transition With up to average 57% salary hike
      • Hiring opportunities from Uber, Microsoft, PwC, Genpact and more
      Our Learners Work At
      Top companies from all around the world have recruited upGrad alumni

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