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    Choose from 3 specializations, receive industry mentorship, dedicated career support, learn 14 programming tools & languages & much more

    3 Unique Specializations

    3 Unique Specializations

    Choose from 3 specializations as per your background & career aspirations. Get a Executive PG Program in Data Science from IIITB with a specialization.

    Dedicated Career Assistance

    Dedicated Career Assistance

    Receive unlimited 1:1 career counselling sessions & mock interviews with hiring managers.

    Student Support

    Student Support

    Student support available all days 24 hours via email or use the Call Back option on the platform to get a response within 2 working hours.

    Syllabus

    Experience 500+ hours of best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects

    download Syllabus

    Program Overview

    Key Highlights

    Complimentary Python Programming Bootcamp
    Complimentary Python Programming Bootcamp
    Career Essential Soft Skills Program
    Career Essential Soft Skills Program
    WES Recognised
    WES Recognised
    500+ Hours of Learning
    500+ Hours of Learning
    25+ Case Studies and Projects
    25+ Case Studies and Projects
    Fortnightly Group Mentorship with Industry Mentors
    Fortnightly Group Mentorship with Industry Mentors
    One-on-One with Industry Mentors
    One-on-One with Industry Mentors
    Timely Doubt Resolution
    Timely Doubt Resolution
    Support Available all days 24 hours.
    Support Available all days 24 hours.
    IIIT Bangalore & LJMU Alumni Status
    IIIT Bangalore & LJMU Alumni Status
    Build your GitHub profile
    Build your GitHub profile
    Accredited by Institute of Analytics UK (IOA)
    Accredited by Institute of Analytics UK (IOA)

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

    Top Skills You Will Learn
    Statistics, Predictive Analytics using Python, Machine Learnview more
    Advance Your Career In
    Data Analyst, Data Scientist, Product Analyst, Machine Learnview more
    Who Is This Program 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 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
    20+
    Live Sessions
    25
    1:8 Coaching Sessions with Industry Experts
    14+
    Tools and Software

    Pre-Program Preparatory Content

    • Data Analysis in Excel
    • Analytics Problem Solving

    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

    Machine Learning

    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 - 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

    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

    Specializations

    You can choose one of the 3 specialization, based on your interest.

    Topics Covered

    Deep Learning

    22 Weeks
    4 Assignments
    Bagging & Random ForestBoostingModel Selection & General ML TechniquesPrincipal Component AnalysisAdvanced RegressionAdvanced 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
    • 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

    Learning Support

    Learning Support
    Industry Mentors
    • Receive unparalleled guidance from industry mentors, teaching assistants and graders
    • Receive one-on-one feedback on submissions and personalised feedback on improvement
    Student Support
    • Support is available all days for 24 hours.
    • For urgent queries, use the Call Back option on the platform.
    benefits

    Doubt Resolution

    Doubt Resolution
    Q&A Forum
    • Timely doubt resolution by peers and Teaching Assistants on the Q&A forum
    • Personalised feedback on assignments and case studies
    Expert Feedback
    • Personalised expert feedback on assignments and projects
    • Regular live sessions by experts to clarify concept-related doubts
    benefits

    Networking

    Networking
    Industry Networking
    • Live sessions by experts on various industry topics
    • Group discussions
    • One-on-one discussions and feedback sessions with industry mentors

    Admission Process

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

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    Start Application

    Program Fees

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    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 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 13 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 six 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 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 six specializations are as follows:

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

    Data Science Generalist: Advanced Machine learning & Storytelling, Advanced Programming & Databases

    Deep Learning Specialization: Advanced Machine Learning, Neural Networks

    NLP Specialization: Advanced Machine Learning, Natural Language Processing

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

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

    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 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 the specialization and capstone project. Once you’re through the 23 weeks of curriculum common to all the six 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.
    Data Science Generalist: Early Stage Professionals (0-5 yrs Exp) planning to upscale in Data Science

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

    Will the three specializations require different time commitments?

    Each of the three specializations will have a common ~23-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 13 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?

    You can start the application process by submitting the application. Applications have already started for the next cohort.

    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?

    To be eligible for the program, the following criteria need to be fulfilled:

    • College Degree: The applicant should have a bachelor’s degree in science/engineering/business administration/commerce/mathematics or masters in mathematics/statistics with 50% or equivalent passing marks.
    • Work experience: The applicant should preferably have at least 1-2 year of professional experience.
    • Executive PGP: The applicant should successfully complete the Executive PGP from IIITB.

    Refund Policy/Financials

    Is there any deferral or refund policy for this program?

    Refund Policy: (Programs with/without prep-session component)

     

    • The student must pay applicable caution money for the enrollment of the course. This will be adjustable against the total course fee payable by the student.
    • 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 Counsellor  to help you in applying and withdrawing for a refund by sending them an email with reasons listed. There shall be no refund applicable once the program has started. This is applicable even for those students who could not complete their payment, and could not be enrolled in the batch opted for. However, the student can avail pre-deferral as per the policy defined below for the same.
    • Refund shall be processed to an eligible student within 30 working days from the date of receipt of refund form subject to submission of the right documents from him/her in this regard.
    • Refund shall be subject to deduction of  $150 processing charges and as per the conversion rate applicable.

     

    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. This deferral will be subjected to a 10% deferral fee of the total course amount + taxes if any along with the differential program fees between the two cohorts.
    • This deferral request shall be granted only once and to either of the scheduled cohorts to start in the next 1 year from the start date of the initial batch in which the student was originally enrolled for.
    • The deferral request will be approved once the deferral fee is paid. Until the process 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 shall be deemed as expired, and the student shall 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 or not 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.

     

    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 start date of the initial batch in which the student was originally enrolled for.
    • The student shall have time till the current cohort launch date to make the payment of the 50% program fee, post which the deferral request will expire. In the event the student raises a refund request after the deferral window expires, the above-mentioned applicable refund policy shall apply.
    • The fee applicable to the deferred student will be as per the prevailing fee for the batch student has opted to defer to (No additional deferral fee is required to be paid). The student shall be liable to pay the differential program fees between the two cohorts if any.

    Disclaimer

    upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. We advise you to enquire further regarding the suitability of this program for your academic and professional requirements before enrolling.