COURSES
Doctorate in Business Administration
Education
MBAData Science and AnalyticsMachine Learning and AIManagementProduct and Project Management
Study Abroad
Thanatology

Learning Hours

15 hrs / week

Start Date

Coming Soon

Duration

20 Months

Format

Live

    Overview

    Key Highlights

    3 Unique Specializations
    3 Unique Specializations
    25+ Industry Case Studies & Capstone Project
    25+ Industry Case Studies & Capstone Project
    14+ Tools & Languages
    14+ Tools & Languages
    6 Months - Masters Project / Thesis
    6 Months - Masters Project / Thesis
    Complimentary Python Bootcamp
    Complimentary Python Bootcamp
    Career Essential Soft Skills
    Career Essential Soft Skills
    World Class Faculty from IIITB and LJMU
    World Class Faculty from IIITB and LJMU
    85% Recorded + 15% Live Sessions
    85% Recorded + 15% Live Sessions
    Weekly Live Sessions with Industry Experts & Faculty
    Weekly Live Sessions with Industry Experts & Faculty
    Dual Alumni Status - IIITB and LJMU
    Dual Alumni Status - IIITB and LJMU
    Career Coaching & Mentoring Sessions
    Career Coaching & Mentoring Sessions
    Global Networking Opportunities
    Global Networking Opportunities
    1 week LJMU on campus visit**
    1 week LJMU on campus visit**

    3 Unique Specializations to choose from
    - Deep Learning
    - Business Intelligence/ Data Analytics
    - Data Engineering

    Syllabus

    Experience 500+ hours of best-in-class, engaging content by leading university faculty and industry experts in the form of videos, cases, projects, quizzes, animations.

    download Syllabus

    Top Subjects You Will Learn

    1. Statistics, Predictive Analytics, Exploratory Data Analysview more

    Job Opportunity

    1. Data Analyst, Sr. Data Analyst, Data Scientist, Sr. Data view more

    Who Is This Program For?

    1. Software & IT Professionals
    2. Engineers from all back
    view more

    Minimum Eligibility

    Bachelor’s Degree with minimum 50% or equivalent passing marview more

    Programming Languages and Tools Covered

    LJMU

    IIIT Bangalore

    Master's Degree from LJMU
    With a heritage that stretches back to 1823, Liverpool John Moores University, UK is now one of the largest and most well-established universities in the UK. It has been ranked in the Top 100 World Young Universities & Top 50 in the UK by Student Satisfaction.
    Master's Degree from LJMU
    Click to zoom
    • Complete all courses to achieve this prestigious M.Sc. Degree from LJMU, UK to jump-start your career in Data Science
    • Get access to the complete digital library of LJMU to research & write your dissertation
    • Earn a Master's degree which is recognized by WES, at 1/10th the cost of an offline program

    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
    Download Brochure
    500+
    Hours of Learning Content.
    25+
    Case Studies and Projects
    50+
    Live Sessions
    14+
    Tools & Languages
    1
    Industry Capstone Project
    6 Months
    Master Project / Thesis

    Course 1 - Data Toolkit

    14 Weeks
    • 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
    • Advanced SQL & Best Practices
    • SQL Assignment: RSVP Movies

    Course 2 - Machine Learning-I

    10 Weeks
    • 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

    Specialisation - Data Analytics

    22 Weeks
    • Data Modelling
    • Advanced SQL Programming
    • Introduction to Cloud and AWS
    • Analytics at Large Scale in Spark - I
    • Analytics at Large Scale in Spark - II
    • Big Data Case Study
    • Basic Viz. using Tableau
    • Advanced Excel
    • Data Analysis and Visualisation in PowerBI
    • Analytical Thinking and Structured Problem Solving using Frameworks
    • Data Storytelling
    • AirBnB Case Study
    • Data Structures and Algorithms
    • Searching and Sorting
    • Algorithm Analysis + Recursion
    • Advanced Database Programming using Pandas
    • Python & SQL Lab

    Specialisation - Business Analytics

    22 Weeks
    • Bagging & Random Forests
    • Model Selection - I
    • Model Selection - II
    • Time Series Forecasting - I
    • Time Series Forecasting - II
    • Model Selection
    • Case Study
    • Basic Viz. using Tableau
    • Advanced Excel
    • Data Analysis and Visualisation in PowerBI
    • Analytical Thinking and Structured Problem Solving using Frameworks
    • Data Storytelling
    • Airbnb Case Study
    • "Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques"
    • Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
    • Integrating speech using Whisper API and application deployment using Flask
    • "Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio"
    • "Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs"
    • Interview Gynie AI: Chatbot Development Project

    Specialisation - Deep Learning

    22 Weeks
    • Bagging & Random Forest
    • Boosting
    • Model Selection
    • Principal Component Analysis
    • Advanced Regression + Time Series Forecasting (Optional)
    • Advanced ML case Stuy
    • Introduction to Neural Networks and ANN
    • Backpropogation & Hyperparameter Tuning in Neural Networks
    • Introduction to Convolutional Neural Networks
    • CNN Architectures and Industry Applications + Recurrent Neural Networks (Optional)
    • Applications of DL in CV: Object Detection Image Segmentation (Optional)
    • Gesture Recognition Case Study
    • "Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques"
    • Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
    • Integrating speech using Whisper API and application deployment using Flask
    • "Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio"
    • "Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs"
    • Interview Gynie AI: Chatbot Development Project

    Specialisation - Natural Language Processing

    22 Weeks
    • Bagging & Random Forests
    • Boosting
    • Model Selection
    • PCA
    • Advanced Regression + Time Series Forecasting (Optional)
    • Advanced ML
    • Case Study
    • Neural Nets for NLP
    • Syntactic Processing
    • Introduction to Semantic Processing & Distributional Semantics
    • Semantic Processing - Topic Modelling
    • Advanced DL in NLP: Attention Mechanism Automatic
    • Ticket Classification
    • Fundamentals of Transformers Architecture, Generative AI, ChatGPT & Prompt Engineering using Non Reasoning, Chain of Thought & Advanced Techniques
    • Product Development using OpenAI APIs, Fine Tuning using STaR technique in Python
    • Integrating speech using Whisper API and application deployment using Flask
    • Fundamentals of Design, Photography, Product Development using Stable Diffusion in Python & Create PixxelCraft AI to enable fast-track digitisation for offline e-commerce businesses by generating high-quality images AI for a large product portfolio
    • Applications of LLMs in Data Science Projects & Automating News Recommendation using GPT3 and Copilot powered Machine Learning applications of LLMs
    • Interview Gynie AI: Chatbot Development Project

    Specialisation - Data Engineering

    22 Weeks
    • Data Management and Relational Database Modelling
    • Introduction to Cloud and AWS Setup
    • Introduction to Hadoop and MapReduce Programming
    • NoSQL Databases and Apache HBase
    • Data Ingestion with Apache Sqoop and Apache Flume
    • Map reduce Programming Assignment
    • Hive and Quering + Optional Assignment
    • Introduction to Apache Spark+ Optional Assignment
    • Amazon Redshift
    • ETL Project
    • Optimizing Spark for Large scale processing
    • Real-Time Data Streaming with Apache Kafka
    • Real-Time Data Processing using Spark Streaming + Assignment (Optional) + Apache Flink (Optional)
    • Building Automated Data Pipelines with Airflow
    • Analytics using PySpark+ Optional Assignment
    • Retail Project

    Capstone

    5 Weeks

      Research Methodologies

      8 Weeks
      • Introduction to Research and Research Process
      • Research Design
      • Literature Reviewing Research
      • Project Management
      • Report Writing and Presentation Skills
      • Scientific Ethics

      Master's Dissertation

      15 Weeks
      • "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"

      Specialisation

      Post Course 2 (Machine Learning), choose any one of the below 5 specialisations as per your background and career aspirations

      Topics Covered

      Data Analytics

      22 Weeks
      Data Modelling Advanced SQL ProgrammingIntroduction to Cloud and AWSAnalytics at Large Scale in Spark - I Analytics at Large Scale in Spark - II Big Data Case StudyBasic Viz. using Tableau Advanced Excel Data Analysis and Visualisation in PowerBI Analytical Thinking and Structured Problem Solving using Frameworks Data Storytelling Airbnb Case StudyData Structures and Algorithms Searching & Sorting Algorithm Analysis and Recursion Advanced Database Programming using Pandas SQL & Python Lab

      Industry Projects and and Case Studies

      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
      • Personalized subjective feedback on your submissions to facilitate improvement

      The upGrad Advantage

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

      Career Services

      Career Services
      • High Performance Coaching (1:1) with a dedicated career coach to build your career path
      • Career Webinars, where the industry leaders would guide you on job opportunities, career path in the field of Data Science
      • Resume and Linkedin Profile Building to enhance your career
      • Interview Preparation, with the help of industry experts and prep material
      • Access to Global Job Opportunities through our Career Center Portal
      • Career Essential Soft Skills sessions to do well in interview, meetings, presentations
      • Job Readiness Assessments to ensure our learners get job ready
      benefits

      Learning Support

      Learning Support
      Student Support (Non-Academic queries)
      • Dedicated upGrad Buddy as your single POC for all queries
      • In addition, Student Support Team is available 7 days a week, 24*7
      • Email us on studentsupport@upgrad.com
      • OR use the "Talk to Us" option on the Learn platform
      Doubt Resolution (Academic)
      • Live Discussion forum for peer to peer doubt resolution monitored by technical experts
      • 1-1 Doubt solving sessions with Teaching Experts
      • Informal peer groups on Whatsapp or Telegram for doubt solving
      benefits

      Networking Opportunities

      Networking Opportunities
      Industry Networking
      • Global batchmates & alumni: Our learners are from 85+ countries
      • Networking webinars to interact with batchmates and alumni
      • Online discussion forums for peer to peer interaction
      • Learn & network with our industry experts, career coaches
      • Informal peer groups: Our Learners form groups on Whatsapp for interaction & networking purpose
      benefits

      Interactive Live Sessions

      Interactive Live Sessions
      • Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
      • Lab walkthroughs of industry-driven projects and case studies
      • Live Sessions on Complimentary Python Boot Camp

      Our Learners Work At

      Admission Process

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

      Program Fees

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      **(Optional) 1 week LJMU campus visit at an additional USD 2000 or equivalent local currency

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      Empowering learners of tomorrow

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      Student Reviews

      Frequently Asked Questions

      Course Curriculum

      What is the Master's in Data Science with upGrad?

      The Master's degree is an engaging yet rigorous 20-month blended program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certification is awarded by LJMU.

      What should I expect from the Master's Degree in Data Science?

      Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.

      What should I NOT expect from the Master's Degree in Data Science?

      The program is NOT going to be easy. It will be requiring at least 15 hours of time commitment per week, applying new concepts and executing industry relevant projects.

      Which topics are going to be covered as part of the program?

      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 3 specializations. These three specializations will have a common curriculum running for approximately 5-6 months that everyone will go through after which they have to do two specialization courses and a capstone project in the remaining 6-7 months. The topics that are going to be covered as a part of the common curriculum and each of the three specializations are as follows:

       

      Common Curriculum: Basics of SQL, Python, Statistics and EDA, Basic Machine Learning Models

       

      Deep Learning Specialization: Advanced Machine Learning, Neural Networks

       

      Data Engineering: Data Modelling and Data Warehousing, Building Data Pipelines, Data Streaming, and Processing

       

      Data Analytics / Business Intelligence: Advanced SQL and NoSQL Databases, Storytelling with Advanced Visualization

       

      This would be followed by 6 months Masters articulation from LJMU which would consist of Research Methodology and Masters Thesis under the supervision of subject matter expert.

      What type of learning experience should I expect?

      The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures or hangout sessions dedicated to solving your academic queries and reinforcing learning. Offline upGrad BaseCamps will also facilitate peer-to-peer interactions.

      Is any certification granted at the end of the program?

      Post successful completion of the program, a certificate in Executive PG Program in Data Science would be granted from IIIT Bangalore and a Master's degree from LJMU.

      When will I have to choose my specialization track?

      The program has ~23 weeks of common curriculum and ~29 weeks of specialization and capstone project. Once you’re through the 23 weeks of curriculum common to all three tracks, you will be prompted to choose your specialization.

      How do I know which specialization is best for me?

      When you’re nearing the end of your common curriculum, upGrad will provide you with a recommendation best suited for you based on your background. The following mapping should give you an idea about the specialization best suited for you although the final upGrad recommendation would come from a much more exhaustive rule engine.

      Deep Learning: Engineers, Software and IT Professionals

      Business Intelligence/ Data Analytics: Engineers, Marketing and Sales Professionals, Freshers

      Data Engineering: Software and IT Professionals

      Do I have to choose the specialization recommended by upGrad?

      No. You can choose whatever specialization you like once you are through the common curriculum. However, we would urge you to take up the recommendation provided by us as this 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.

      Time Commitment

      What is the time commitment expected for the program?

      At least 15 hours per week of time commitment is expected to be able to graduate from the program.

      Will the three specialisations require different time commitments?

      Each of the three specialisations will have a common ~22-week curriculum in which the time commitment will be exactly the same.

      When you move onto a specialization, it might be that some weeks are heavier in a particular track but lighter for the others. But, overall the total time commitment required will be 15 hours/week on average

      Selection Criteria

      How do I know if the program is right for me?

      If you like finding meaningful insights from data and if you get excited by the prospect of informing business decisions through analysis and have an analytical bend of mind, then this program is meant for you. As long as you are able to clear the selection test (or are exempt) and are excited about the transition to Data Science, this program is meant for you.

      My current role does not include exposure to data. Does it make sense for me to opt for this program?

      Absolutely! Data Science is becoming a necessity for all industries and is no more a choice. Hence, there is a critical demand for quality data professionals and because the supply is constrained, this is one of the most lucrative career options across industries.​

      What is the application process for the program and what are the timelines?

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

       

      Step 1: Take the Online Eligibility Test

      Complete your application to take the 17 minute online eligibility test with few questions to kick-start the admission process. The test is designed to assess your quantitative & logical aptitude ensuring you're ready for the program.

       

      Step 2: Get Shortlisted & Receive your Offer Letter

      Our Admissions Committee will review your test score & profile. Upon qualifying, an Offer Letter will be sent to you confirming your admission to the Executive PGP in Data Science and Master in Data Science from L.J.M.U

       

      Step 3: Block your Seat & Begin the Prep Course

      Reserve your seat by paying the block amount to enroll in the program. Begin with your Prep course and start your Data Science journey!

      What is the selection process for this program?

      upGrad, IIITB, LJMU, world-renowned faculty, and many industry leaders have committed a lot of time in conceptualising and creating this program to make sure that the learners can receive the best possible learning experience in data analytics. Hence, we want to make sure that the participants of this program also show a very high level of commitment and passion for Data Science.

      The applicants will have to take a selection test designed to check their aptitude and quantitative abilities. The applicants can skip the test if they meet one of the following criteria:

      • GRE score is greater than 300
      • GMAT score is greater than 650
      • CAT score is greater than 90 percentile
      • GATE score is greater than 500

      Is there any minimum educational qualification required to take this program?

      Bachelor’s Degree with minimum 50% or equivalent passing marks. 

      No coding experience required.

      Refund Policy/Financials

      Is there any deferral or refund policy for this program?

      Disclaimer

      1. upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. If you intend to pursue a post graduate or doctorate degree upon completion of this course or apply for employment which requires specific credits, we advise you to enquire further regarding the suitability of this degree for your academic and/or professional requirements before enrolling.

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