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For College Students

India & UK's Top Universities

Global M.Sc.

IIT Madras ranking - NIRF 2021

Ranked #1 in India

Recommended 12-15 hrs/week

18 Months*

Start Date

Coming Soon

    Programme Overview

    Key Highlights

    Learn from the faculty of IIT Madras & LJMU
    Learn from the faculty of IIT Madras & LJMU
    Designed for Working Professionals
    Designed for Working Professionals
    25+ Case Studies and Assignments
    25+ Case Studies and Assignments
    Practical Hands-on Workshops
    Practical Hands-on Workshops
    650+ Hours of Learning
    650+ Hours of Learning
    India's No.1 Ranked Engineering College
    India's No.1 Ranked Engineering College
    No Cost EMI Option
    No Cost EMI Option
    India's Most Advanced Cloud Program
    India's Most Advanced Cloud Program
    4 Weeks Industry Capstone Project
    4 Weeks Industry Capstone Project
    Globally accepted M.Sc. Degree
    Globally accepted M.Sc. Degree
    Offline peer-to-peer networking (non-COVID time)
    Offline peer-to-peer networking (non-COVID time)
    Daily Doubt Resolution Sessions
    Daily Doubt Resolution Sessions
    Career Mentorship Sessions (1:1)
    Career Mentorship Sessions (1:1)
    Exclusive Job opportunities Portal
    Exclusive Job opportunities Portal
    High Performance Coaching (1:1)
    High Performance Coaching (1:1)
    AI Powered Profile Builder
    AI Powered Profile Builder
    Just-in-Time Interviews
    Just-in-Time Interviews
    Career Bootcamp
    Career Bootcamp
    Personalised Industry Session
    Personalised Industry Session

    "Our aim is simple: We strive to create high-impact, hands-on experiences that prepare students for meaningful and productive careers.”

    - Ronnie Screwvala, Co-Founder, upGrad

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    Top Skills You Will Learn

    Python, BD processing using Spark, Deploy ML Models, Superviview more

    Job Opportunities

    Big Data Analyst, Data Engineer, Data Scientist, Machine Leaview more

    Who Is This Programme For?

    Engineers, Software and IT Professionals and Data Professionview more

    Minimum Eligibility

    Bachelor’s Degree with 50% or equivalent at graduation. Codiview more

    Syllabus

    Experience 650+ hours of best-in-class content developed by leading faculty & industry leaders in the form of videos, case studies & projects. 

    DOWNLOAD SYLLABUS

    Programming Languages and Tools Covered

    Advanced Certification from IIT Madras

    Master of Science in Machine Learning & AI

    Advanced Certification from IIT Madras
    Complete all the courses successfully to obtain this prestigious certification from IIT Madras.
    Advanced Certification from IIT Madras
    Click to zoom
    • IIT Madras, India's no. 1 Ranked Engineering Institute by NIRF Ranking 5th consecutive year
    • Widely recognised Advanced Certification in Machine Learning and Cloud
    • Network with Machine Learning and Cloud professionals across all industries

    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

    Instructors

    Learn from India's leading Machine Learning 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
    650+
    Hours of Learning
    25+
    Case Studies and Assignments
    20
    Live Sessions
    7
    Tools and Software

    Preparatory Content

    1 Assignment
    • Python Programming
    • Python for Data Science
    • Data Visualisation in Python
    • Python Assignment (Optional)

    Introduction to Machine Learning in Cloud

    5 Weeks
    1 Assignment
    • Exploratory Data Analysis and Data Visualization
    • Intro to ML + Understanding the ML pipeline
    • Introduction to Cloud
    • Elastic Provisions of cloud and setting up cloud
    • Assignment

    Data Warehousing & Data Management

    5 Weeks
    1 Assignment
    • Introduction to HDFS
    • Introduction to SQL
    • Hive Querying
    • Case Study
    • Assignment

    Big Data Processing using Spark

    4 Weeks
    1 Assignment
    • Introduction to Spark
    • PySpark Programming
    • PySpark implementation on a Dataset: ALS & Spark Streaming
    • Assignment

    Machine Learning - I

    5 Weeks
    1 Assignment
    • Inferential Statistics and Hypothesis Testing
    • Linear Regression - I
    • Linear Regression - II
    • Logistic Regression
    • Assignment

    Machine Learning - II

    8 Weeks
    3 Assignments
    • Decision Trees
    • Random Forest Trees
    • Assignment
    • Principal Component Analysis + Linear Algebra
    • Clustering

    Deep Learning

    7 Weeks
    1 Assignment
    • Introduction to Neural Nets with TensorFlow
    • Convolution Neural Networks
    • Melanoma Detection Assignment
    • Recurrent Neural Networks

    NLP with Deep Learning

    4 Weeks
    1 Assignment
    • Natural Language Processing Fundamentals
    • Case Study on applications of Deep Learning in NLP
    • Case Study on Computer Vision
    • NN Assignment: Gesture Recognition

    Deployment

    5 Weeks
    1 Capstone Project
    • Deployment
    • Implementation: Regression + Model Selection on SageMaker

    Capstone

    4 Weeks
    • Capstone Project

    Research Methodology

    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
    • Master's Thesis

    Industry Projects

    Learn through real-life industry projects sponsored by top players across industries.

    The upGrad Advantage

    Strong hand-holding with dedicated support to help you master Machine Learning.
    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 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

    Our Learners Work At

    Top companies from all around the world have recruited upGrad alumni

    Over 500 Careers Transformed

    Admission Process

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

    Programme Fee - Indian Residents

    ₹ NaN (Incl. Taxes)*

    View Plans
    *Starting at INR 13,628/month. No Cost EMI options available.

    Empowering learners of tomorrow

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

    Student Reviews

    Note-

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

    - 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

    Programme Details

    How do I know if this programme is for me?

    This programme is for you if you have:

    Experience in areas of Data Analytics / Software Development / Cloud Management / Database Management / Machine Learning, etc. 

    Undergraduate student in disciplines such as engineering, Maths/Statistics.

    How will this programme benefit me?

    The programme will benefit you in different ways depending on your prior experiences:

    The programme will familiarise you with the advancements in Machine Learning and Cloud. It will also help you understand how machine learning models are deployed using cloud so that you can transition to a Data Scientist / Machine Learning Engineer / Data Engineer / Data Analyst (using Cloud) roles. 

    What is this programme intended to do?

    This programme intends to produce extremely well-rounded Data Scientists and Machine Learning professionals with knowledge of cloud with expertise in relevant tools/languages, and understanding of cutting-edge algorithms and applications.

    What can I expect out of this programme?

    This programme is designed for working professionals looking to pick up skills in advanced concepts such as Machine Learning, Cloud, Data Warehousing, Data Management,  Big Data Processing, and Deployment of Machine Learning Models. This programme demands consistent work and time commitment over the entire duration of 18 months* 

    Is there any certification at the end of the programme?

    Post completion of the programme, an Advanced Certification in Machine Learning and Cloud will be granted from IIT Madras & a M.Sc. degree from Liverpool John Moores University.

    Support

    What type of learning should I expect?

    The content will be a mix of asynchronous lectures from industry leaders as well as world-class faculty. Additionally, the programme comprises of some live lectures or hangout sessions dedicated to solving your academic queries and to reinforce learning.

    Refund Policy/Financials

    Is there any deferral or refund policy for this programme?

    Refund Policy: (Programmes with prep-session component)

    • Student must pay an amount of ₹25,000 as 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 Counselor to help you in applying and withdrawing for a refund by sending them an email with the reasons listed. The prep login will be activated immediately post completion of the 'payment of the 1st block amount (caution money)' or on the 'Specified date' as communicated by upGrad. Processing fee of ₹10,000 will be levied in case refund is claimed.
    • Student has to pay the full fee within 7 days of payment of block amount or cohort start date, whichever is earlier, otherwise the admission letter will be rescinded and processing fee of ₹10,000 will be levied.
    • Once the student pays block amount, "any" refund shall be subject to deduction of ₹10,000 processing charges.
    • Any taxes paid by the student shall not be refundable, and the amount to be withheld will be higher of taxes paid or 10,000 processing fees.
    • There shall be no refund applicable once the programme 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 from him/her in this regard.
    • Refund shall be subject to deduction of ₹10,000 processing charges or the GST paid, whichever is higher as mentioned above.

    Deferral Policy: (Post Programme 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 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 programme 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 until 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 Programme 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 cohort.
    • To do so, the student will be required to pay 50% of the total Programme 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 to any of the cohorts starting in the next 3 months from the start date of the initial batch in which the student was originally enrolled. For the first deferral request, subject to the point no. 2 of the Pre-Programme Deferral Policy, no additional charges shall be levied.
    • If a student wants to defer his enrolment a second time, such student will have to make an additional payment of Rs.10,000 as Deferral fee, and this amount shall be non-refundable under any circumstances. Once this payment is done, students will be eligible to defer to any of the cohorts starting in the next 3 months from the current cohort.
    • The student has time till the current cohort launch date to make the payment of the balance 50% Programme fee, post which the deferral request will expire. Once the deferral window expires and if such a student wants to withdraw his or her enrolment from the said Programme, the refund policy will be applicable.
    • The student shall be liable to pay the differential Programme fees between the two cohorts if any.

    Selection Criteria

    What is the selection process for this programme?

    Step 1 - Online Eligibility Test

    Fill out an application and take a short 45 mins Online test with 8 questions.

    Step 2 - Review and Shortlisting of Suitable Candidates

    Our faculty will review all application, following this a virtual interview will be conducted before offer letters will be rolled out so you are assured a great peer group to learn and network with.

     

    Step 3 -Content

    Make a quick block payment with assistance from our loan partners where required, receive immediate access to the prep content and begin your upGrad journey.

    upGrad Learner Support

    For Indian Nationals
    For Foreign Nationals
    We are available 24*7