Learners2+ Million
Recommended 15hrs/week-- Months
Start DateComing Soon
Starts at Rs. 11,850/month*EMI Options

    About the Program

    5 Unique Specialisations

    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

    Dedicated Career Assistance

    Receive unlimited 1:1 career counselling sessions & mock interviews with hiring managers. Further your career with our 300+ hiring partners.

    Student Support

    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
    Complimentary Python Programming Bootcamp
    Career Essential Soft Skills Program
    Career Essential Soft Skills Program
    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
    Fortnightly Group Mentorship with Industry Mentors
    Fortnightly Group Mentorship with Industry Mentors
    Daily Doubt Resolution Support
    Daily Doubt Resolution Support
    Support available 7 days, 24x7
    Support available 7 days, 24x7
    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
    NASSCOM certificate
    NASSCOM certificate
    Career mentorship Sessions(1:1)
    Career mentorship Sessions(1:1)
    AI Powered Profile Builder
    AI Powered Profile Builder
    Just-in-Time Interviews
    Just-in-Time Interviews
    High Performance Coaching(1:1)
    High Performance Coaching(1:1)
    Personalised Industry Session
    Personalised Industry Session
    Career Bootcamp
    Career Bootcamp

    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

    Programming Languages and Tools Covered

    Master's Degree
    Complete all the courses successfully to obtain this prestigious recognition from LJMU.
    Master's Degree
    Click to zoom
    • 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

    Instructors

    Learn from leading Data Science faculty and industry leaders

    Sample Lecture

    Check out this preview featuring one of India’s Top Data scientists, S Anand. Watch as he explains the degenerative technique of data analysis that’s used to generate newer insights, even while working with a smaller dataset.

    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.
    60+
    Case Studies and Projects
    57(EPGP-DS part) + 49 (LJMU part)
    Total LS Sessions in the program
    14+
    Tools and Software

    Pre-Program Preparatory Content

    • Data Analysis in Excel
    • Analytics Problem Solving

    Course 1: Data Toolkit

    12 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
    • Advaced 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

    Specialization- 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

    Specialisation - 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
    • Semantic Processing
    • Applied DL in NLP
    • Case Study: Automatic Ticket Classification
    • Capstone Project

    Specialisation - Business Analytics

    22 Weeks
    • Bagging & Random Forest
    • Model Selection & General ML Techniques
    • Time Series Forecasting
    • Model Selection Case Study
    • Visualisation using Tableau
    • Advanced Excel
    • Visualisation using PowerBI
    • Structured Problem Solving using Frameworks
    • Data Storytelling
    • AirBnB Case Study
    • Operations Research in Excel
    • Data Architecture
    • Data Strategy
    • Business Case Study
    • Capstone Project

    Specialisation - Business Intelligence/Data Analytics

    22 Weeks
    • Data Modelling
    • Advanced SQL and Best Practices
    • Introduction to Big Data and Cloud
    • Analytics using Spark
    • Big Data Case Study
    • Visualisation using Tableau
    • Advanced Excel
    • Visualisation using PowerBI
    • Structured Problem Solving using Frameworks
    • Data Storytelling
    • AirBnB Case Study
    • Data Structures - Sets, Dictionaries, Stacks, Queues
    • Searching and Sorting
    • Algorithm Analysis + Recursion
    • Advanced Database Programming using Pandas
    • Python & SQL Lab
    • Capstone Project

    Specialisation - 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

    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

    16 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 5 specialisation, based on your interest.

    Topics Covered

    Deep Learning

    22 Weeks
    Bagging & Random ForestBoostingModel Selection & General ML TechniquesPrincipal Component AnalysisAdvanced Regression Advanced ML case StuyTime Series AnalysisIntroduction to Neural Networks and ANNNeural Network AssignmentConvolutional Neural NetworksConvolutional Neural Networks -Industry ApplicationsObject Detection & Image Segmentation (Optional)Recurrent Neural NetworksGesture RecognitionCapstone 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

    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
    • 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.
    benefits

    Career Assistance

    Career Assistance
    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
    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. 4,99,000 (including tax)

    With Immersion: Rs. 6,99,000 (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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    Over 2,300 students have completed this course and started working at their dream job, whats stopping you?

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    Student Reviews

    Start Referring

    Refer someone you know and receive Gift Vouchers worth INR 3,000!*

    *Referral offer is valid only on the Master's of Science in Data Science program.

    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

    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 six 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 six 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.

    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 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

    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. 

    Refund policy/Financials

    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.

    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).

    Will I have to pay any extra amount for the 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.

    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.

    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.

    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.

    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.

    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 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.

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