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    About the Master of Science in Data Science Programme

    5 Unique Specialisations

    5 Unique Specialisations

    Choose from 5 specializations as per your background & career aspirations. Get a PGP in Data Science & AI (Executive) from IIITB with Gen AI infused specializations

    Dedicated Career Assistance

    Dedicated Career Assistance

    Get job opportunities & mock interviews with hiring managers. Further your career with our 300+ hiring partners.

    Student Support

    Student Support

    Dedicated Student Support available. You can write to us via your upGrad Buddy, email us or for urgent queries, use the "Talk to Us" option on the Learn platform

    Program Overview

    Key Highlights

    Complimentary Python Programming Bootcamp
    Complimentary Python Programming Bootcamp
    Career Readiness Prep with Soft Skills
    Career Readiness Prep with Soft Skills
    Only online M.Sc in DS for working professionals
    Only online M.Sc in DS for working professionals
    500+ Hours of Learning
    500+ Hours of Learning
    60+ Case Studies and Projects
    60+ Case Studies and Projects
    20+ Programming Tools & Languages
    20+ Programming Tools & Languages
    Daily Doubt Resolution Support
    Daily Doubt Resolution Support
    Dedicated Student Support available
    Dedicated Student Support available
    IIIT Bangalore & LJMU Alumni Status
    IIIT Bangalore & LJMU Alumni Status
    Global access to job opportunities
    Global access to job opportunities
    No Cost EMI Option
    No Cost EMI Option
    AI Powered Profile Builder
    AI Powered Profile Builder
    Just-in-Time Interviews
    Just-in-Time Interviews
    Career Bootcamp
    Career Bootcamp
    High performance coaching (1:1)
    High performance coaching (1:1)

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

    Syllabus

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

    download Syllabus

    Top Subjects you will learn

    Statistics, Predictive Analytics using Python, Machine Learnview more

    Job Opportunity

    Data Analyst, Data Scientist, Product Analyst, Machine Learnview more

    Who Is This Programme For?

    Any specialization can be chosen regardless of background. Tview more

    Minimum Eligibility

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

    Programing Languages and Tools Covered in Data Science & AI course

    Generative AI tools covered

    LJMU

    IIIT Bangalore

    Master's Degree
    Complete all the courses successfully to obtain this prestigious recognition in Masters of Science(MS) in Data Science from LJMU.
    Master's Degree
    Click to zoom
    • Connect with Global network of Masters in Data Faculty from LJMU
    • Get access to complete digital library of LJMU
    • Earn a Masters of Science(MS) in Data Science degree which is recognized by WES, at 1/10th the cost of an offline program

    Explore our Learning Platform

    Learn on an AI-powered & personalised platform with best-in-class content, live sessions & mentoring from leading industry experts.
    Explore our Learning Platform

    What our learners say

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    Why pursuing this MS DS Programme is worth it

    Hear from our in-house experts on what’s the latest on ChatGPT & Generative AI to get a sneak peek of what is in store!

    Instructors

    Learn from leading Data Science faculty and industry leaders

    Syllabus

    Best in-class content from leading faculty and industry leaders in the form of cases, videos, projects, assignments and Live sessions. Now integrated with Generative AI modules

    Download Brochure
    500+
    Hours of Learning Content.
    60+
    Case Studies and Projects
    57(EPGP-DS part) + 49 (LJMU part)
    Total LS Sessions in the program
    14+
    Tools and Software

    Course 1: Data Toolkit

    13 Weeks
    • Introduction to Python
    • Programming in Python
    • Python for DS
    • Data Visualisation in Python
    • Exploratory Data Analysis
    • Credit EDA Assignment
    • Inferential Stats
    • Hypothesis Testing
    • Basics of SQL
    • Advanced SQL
    • SQL - RSVP Movies Case Study
    • Buffer

    Course 2: Machine Learning - I

    10 Weeks
    • Linear Regression - I
    • Linear Regression - II + Gradient Descent for SLR
    • Linear Regression Assignment
    • Logistic Regression - I
    • Logistic Regression - II
    • Classification using Decision Trees
    • Unsupervised Learning: Clustering
    • Basics of NLP and Lexical Processing
    • Business Problem Solving + Intro to GIT and GITHUB
    • Case Study: Lead Scoring
    • Buffer

    Specialisation - Data Analytics

    29 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 & Sorting
    • Algorithm Analysis and Recursion
    • Advanced Database Programming using Pandas
    • SQL & Python Lab
    • Capstone

    Specialisation - Business Analytics

    29 Weeks
    • Bagging & Random Forest
    • 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
    • Capstone

    Specialization- Deep Learning

    29 Weeks
    • Bagging & Random Forest
    • Boosting
    • Model Selection
    • PCA
    • Advanced Regression + Time Series Forecasting (Optional)
    • Advanced ML case study
    • 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
    • Capstone

    Specialisation - Natural Language Processing

    22 Weeks
    • Bagging & Random Forest
    • 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
    • Capstone

    Specialisation - Data Engineering

    29 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
    • MapReduce 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

    Research Methodologies

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

    Master's Dissertation

    14 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

    Specialisations

    You can choose one of the five specializations, tailored to your background and career aspirations. Multiple specialization tracks now include integrated Generative AI modules, offering a comprehensive and in-depth coverage of this cutting-edge technology.

    Topics Covered

    Specialisation - Data Analytics

    29 Weeks
    Data ModellingAdvanced SQL ProgrammingIntroduction to Cloud and AWSAnalytics at Large Scale in Spark - IAnalytics at Large Scale in Spark - IIBig Data Case StudyBasic Viz. using TableauAdvanced ExcelData Analysis and Visualisation in PowerBIAnalytical Thinking and Structured Problem Solving using FrameworksData StorytellingAirbnb Case StudyData Structures and AlgorithmsSearching & SortingAlgorithm Analysis and RecursionAdvanced Database Programming using PandasSQL & Python LabCapstone

    Industry Projects

    Learn from leading Data Science faculty and industry leaders in this Masters(MS) in Data Science
    • 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

    Learning Support

    Learning Support
    Industry Expert Guidance
    • Interactive Live Sessions with leading industry experts covering curriculum + advanced topics
    Student Support
    • Dedicated Student Support available.
    • You can write to us via studentsupport@upgrad.com or for urgent queries, use the "Talk to Us" option on the Learn platform.
    benefits

    Career Assistance

    Career Assistance
    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
    High performance coaching (1:1)
    • Get a dedicated career coach after the program to help track your career goals, coach you on your profiles, and support you during your career transition journey.
    benefits

    Practical Learning and Networking

    Practical Learning and Networking
    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
    benefits

    Job Opportunities

    Job Opportunities
    upGrad Opportunities
    • upGrad Elevate: Virtual hiring drive giving you the opportunity to interview with upGrad's 300+ hiring partners
    • 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

    Admission Process

    There are 4 simple steps in the Admission Process which is detailed below:

    Program Fee - Indian Residents

    Without Immersion: Rs. 5,50,000(including tax)

    With Immersion: Rs. 7,50,000 (including tax)

    View Plans
    *Starting at INR 11,850/month. No cost EMI options available.
    The credit facility is provided by a third party credit facility provider and any arrangement with such third party is outside upGrad's purview.

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    *Programme length implies 18 months of learning and full programme duration may vary depending on university.

    - This program is accredited in the Foreign University's country. It is not UGC recognized.

    Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu India LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *programs.upgrad.com/disclaimer_courselist

    Frequently Asked Questions

    Masters (MS) in Data Science Course Curriculum

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

    The 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 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 five tracks. These five tracks will have a common curriculum running for approximately 5-6 months that everyone will go through after which they have to do one specialization course 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 five 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

    Natural Language Processing Specialization: Advanced Machine Learning, Natural Language Processing

    Business Analytics: Advanced Machine Learning, Storytelling and Advanced Business Problem Solving

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

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

    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 Programme in Data Science would be granted from IIIT Bangalore and a Master's degree from LJMU.

    When will I have to choose my specialisation track?

    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 specialisation.

    How do I know which specialisation 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 specialisation 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

    Natural Language Processing: Engineers, Software and IT Professionals

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

    Business Analytics: Engineers, Managers, Marketing and Sales Professionals, Domain Expert

    Data Engineering: Software and IT Professionals

    Do I have to choose the specialisation recommended by upGrad?

    No. You can choose whatever specialisation 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.

    Is this program recognized by UGC?

    This program is accredited in the Foreign University's country. It is not UGC recognized.

    Time Commitment in this Masters in Data

    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 five specializations require different time commitments?

    Each of the five specializations 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

    Career Prospects and Support in this Masters (MS) in Data Science

    How will my doubts/questions be addressed in an online program?

    Peer-to-peer discussion forum where you can post your queries and your peers/faculty/teaching assistants answer your queries within a day. Regular Q&A sessions with faculty to get clarification on conceptual doubts.

    Will I receive special different career services in each specialization?

    Each specialization is designed to give you the best outcome based on your background and help you venture into the data domain. The services and support for all the tracks will remain the same. Every student will have live sessions, industry mentorship, preparatory support, and access to relevant opportunities according to the requirements in their specialization track. 

    What online resource does LJMU provide for students to confirm the validation of awards and what information can be found there regarding their collaborative partnerships?

    Please find the link to the LJMU Collaborative Provision Register, where students can verify validation of the award on the LJMU web pages.

    Where can one access comprehensive details about the MSDS program at LJMU website?

    Please find the link to the Program Specifications of the MSDS program on the LJMU website.

    Refund policy/Financials for Masters (MS) in Data Science

    What is the program fee for the Master's Degree in Data Science?

    Without Immersion: Rs. 4,99,000 (including tax)
    With Immersion: Rs. 6,99,000 (including tax)

    Is there any deferral or refund policy for this Program?

    Refund Policy: (Programs with prep-session component) 
     

    1. The Student needs to successfully complete the Executive PG Programme in Data Science from IIIT Bangalore, to be eligible to continue with the M.Sc. in Data Science by LJMU. In case if a student fails to achieve the minimum required passing criteria as specified in this offer letter, such student shall not be eligible for any refund.
    2. There shall be no refund under any circumstances for the student who has successfully completed the Executive PG Programme in Data Science with IIIT Bangalore but is not willing to continue with M.Sc. in Data Science by LJMU.
    3. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counselor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. Processing fee of Rs. 10,000/- will be levied. If less than Rs. 10,000/- have been paid in total, student shall not be eligible for any refund in such case.
    4. Student shall not be eligible for any refund under any circumstances if any such refund requests are raised post Cohort Commencement Date and student will continue to pay the EMI for loan (if applicable) and such loan cannot be cancelled. This is also applicable for those students who could not complete their payment and could not be enrolled in the cohort opted for. However, the student can raise a request for Pre-Program deferral as per the policy defined below for the same.
    5. In case of a refund, student will be solely responsible for any cancellation of loan, including but not limited to applicable loan cancellation charges levied on the total cancelled loan amount.
    6. Student must pay the full fee within 7 days of payment of Caution Money or Cohort Commencement Date, whichever is earlier, otherwise the admission letter will be rescinded.
    7. Request for refund must be sent via e-mail in the prescribed Refund Request Form. The refund will be processed within 30 working days of commencement of the program after being duly approved by the Academic Committee.
       

    Deferral Policy: (Pre- Program Commencement) 
     

    • If a student, due to unavoidable circumstances is unable to commence with the cohort and requests for a deferral before the cohort starts, we provide the opportunity for the student to defer to another batch.
    • However, the student will be required to pay 50% of the total course fee amount (inclusive of taxes) before the deferral can be approved. Till this is completed, the student will be assumed to be continuing in the same cohort.
    • A student can request for deferral only once and to either of the scheduled cohorts to start in the next 1 year from the batch start date of initial batch the student enrolled for.
    • The student has time till the current cohort launch date to make the payment of the 50% program fee, post which the deferral request will expire. Once the deferral window expires and the student now asks for a refund, the above-mentioned applicable refund policy will apply.
    • The fee applicable to the deferred student will be as per prevailing fee for the batch student as opted to defer to (No additional deferral fee is required to be paid). 
       

    Deferral Policy: (Post Program Commencement) 
     

    • If a student is facing severe issues in dedicating time to the course, we provide the opportunity for the student to defer to another batch.
    • A student can request for deferral only once and to either of the scheduled cohorts to start in the next 1 year from the batch start date of initial batch the student enrolled for.
    • The student will be required to pay a deferral fees of 10% of the total course amount fee + Taxes if any along with the differential program fees between the two cohorts
    • The deferral request will be approved once the deferral fee is paid.
    • Till this is completed, the student will be assumed to be continuing in the same cohort.
    • The student has 7 days (including holidays and weekends) from the date of deferral request to make the payment of the deferral fee post which the deferral request will expire, and the student will continue as part of the current cohort.
    • If the student completes the deferral payment, the student’s login will be disabled, the student will leave the deferred cohort and the student will start learning on the new cohort from the point of the last assignment that was graded in the deferred cohort. All grades and progress till that point will be carried forward as it is to the new cohort. For clarification, the grades of the graded assignments will be carried forward, whether the student had submitted these grading during the initial stage.
    • The deferral can only be requested during the batch for which the student has enrolled is ongoing. Once the batch has completed, deferral requests shall not be entertained. For clarification, the batch completion here shall mean the “last grace deadline” as communicated by upGrad.

    No Cost Credit Card EMI FAQ's

    0% EMI with Finance partners /Credit card option availability will vary program wise.

    1. Which banks allow using 0% Credit card EMI or Credit card EMI?
    No cost EMI is available on credit cards from all major banks (American Express, Bank of Baroda, HDFC Bank, ICICI Bank, IndusInd Bank, Kotak Mahindra Bank, RBL Bank, Standard Chartered, Axis Bank, Yes Bank, State Bank of India, CITIBANK and HSBC).

    2. Is there any minimum transaction limit ?
    Yes. 50000 is the minimum.

    3. Standard Chartered Bank offers 18 or 24 months No Cost EMI ?
    No. ONLY 12 months is available irrespective of the Program enrolled.

    4. Will I have to pay any extra amount for EMI transaction?
    If you are availing 0% credit card EMI, upGrad will not charge any processing fees or down payment for these transactions. Your bank may levy GST or other taxes on the interest component of the EMI.

    5. Are there any fees or down payment?
    Certain banks charge nominal processing fees between INR 99 - 500 on 0% Credit Card EMI transaction. If charged, will be billed in the first repayment installment.

    6. Can I use my International credit card for 0% credit EMI or Credit Card EMI?
    Only the Indian bank credit cards can be used. But you can pay the amount using the Credit card option in one shot / part payments, and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions, this will be purely between you and your bank.

    7. Are there any charges in case I opt for cancellation/refund from the course after paying balance with no cost EMI ?
    Yes, there will be additional charges to the extent of interest paid by the upGrad to the bank, you will be refunded only Principal amount, i.e. the amount actually deducted/blocked from your card. This deduction will be in addition to the amount mentioned in the refund policy shared with your offer letter.

    8. Can I Pay Using Multiple Credit Cards ?
    Multiple cards can be used to complete the payments using Part payment option make sure to inform the learner, minimum transaction is INR 50000 to opt for 0% CC EMI E.g. Amount to be paid: 150000. I can pay using 2 Credit cards. Yes, Example :
    HDFC Card – Part payment – INR 100000
    ICICI Card – Part payment – INR 50000

    9. How can I opt for Credit card EMI if my bank is not listed in the 0% Credit card EMI or Credit card EMI?
    You can pay the amount using the Credit card option in one shot / part payments, and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions.

    10. Why is the entire amount blocked on my credit card?
    Initially your bank will block the entire amount from your available purchase limit and from your next billing cycle, you will be charged the EMI amount. As you start paying your EMI, your credit limit will be released accordingly. For example, if you have made a payment of ₹100000 on 6-months EMI and your credit limit is ₹200,000 then initially your bank will block your credit limit by ₹100000. After payment of your first month EMI of Rs.15000, the blocked amount will come down to ₹85000.

    11. Why is interest getting charged on No Cost EMI?
    Your bank will charge you interest. However, this interest charge has been provided to you as an upfront discount at the time of your payment, effectively giving you the benefit of a No cost EMI. The total amount paid during the entire EMI tenure to the bank will be equal to the amount to be paid to upGrad.

    Eg. Amount payable to upGrad: INR 405000
    Let's say Amount deducted at the time of transaction: INR 379850 (Principal amount) Bank charges interest of 12-15% per annum on INR 379850
    [Note: Interest factor is reducing rate and not Flat rate]
    EMI AMOUNT = INR 33750 x 12 = INR 405000
    Effectively, you have taken loan on 379,850 instead of 405,000

    Selection Criteria for Masters (MS) in Data Science

    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 4 simple steps in the Admission Process which is detailed below:

    1. Fill the Application form: Fill out an application giving your basic profile details
    2. Selection Test: Give a short 17 minutes test which has 11 reasoning, apptitude & HSC level questions out of which it is important to get atleast 6 right in order to get shortlisted.Test Exemption 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
    3. Shortlisting & Block Payment to reserve seat: University will shortlist basis profile & test scores. Receive offer letter and proceed with block amount INR 25,000/-
    4. Payment: Balance to be closed within 7 days or batch start date whichever is sooner

    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, and successful completion of the Executive PG Program in Data Science from IIITB. No coding experience required.

    Additional Queries

    What is GenAI?

    Generative AI (GenAI) is a type of AI that can create new content, such as text, images, music, and code. GenAI models are trained on massive datasets of existing content, which they then use to generate new and unique outputs. They can be used for creative tasks such as writing code, creating images and videos etc. 

    Where can I use GenAI?

    GenAI can be used in a wide variety of applications, including:

    Creative content production: GenAI can be used to generate new ideas and concepts for creative content, such as poems, stories, scripts, and musical pieces.

    Translation: GenAI can be used to translate text from one language to another.

    Education: GenAI can be used to create personalized learning experiences for students and to provide real-time feedback on their work.

    Research: GenAI can be used to generate new hypotheses and to test them on large datasets.

    Business: GenAI can be used to improve customer service, to develop new products and services, and to automate tasks.

    Why should I learn GenAI?

    Here are some specific reasons why you should learn GenAI:

    GenAI is in high demand: GenAI skills are in high demand in a variety of industries, including technology, healthcare, finance, and education.

    GenAI can help you automate tasks: GenAI can be used to automate many tasks, such as data entry, customer service, and content creation. This can free up your time so that you can focus on more important things.

    GenAI can help you be more creative: GenAI can help you to generate new ideas and to brainstorm solutions to problems.

    What kind of GenAI roles can I look for post completing this program?

    This program has been designed to enable you master skills required for job opportunities such as: Prompt Engineer, LLM Engineer, Data Scientist with Generative AI as a skill

    How will you be teaching me GenAI?

    As part of this course, Generative AI is taught via both live sessions and recorded content. As part of certain specializations we have 6+ modules dedicated to Generative AI, plus 3+ projects throughout program to help you build an impressive portfolio and skillset

    How many hours of GenAI can I expect in this course?

    As part of this course, you would have 20+ hrs of recorded video content on Generative AI plus multiple live sessions to master this cutting edge technology

     

    What are the GenAI tools covered as part of this course

    As part of this course, multiple industry leading tools are covered from various aspects and use-case perspective, some of them are: 

    Replit, CromaDB, Github CoPilot, Pandas AI, Code Interpreter, OpenAI Embeddings, HuggingFace, Chroma, GPT 3.5, ChatGPT

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