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For College Students

    30+ hours of engagement per week

    15 Months

    Master of Science in Data Science, Delivered Online

    Degree from Europe

    soft-skills coaching, interview prep, placement drive

    360-degree Career Support

    Batch Start, Limited Seats Available

    30th September, 2023

    Bachelor’s degree or 12+ 3 diploma with 5 years of work experience

    Eligibility Criteria

    European ECTS Credits

    90 Credits*

    *Credits awarded in the MSDS are delivered online. upGrad facilitates program delivery and is not a college/university in itself. Credits and credentials are awarded by the concerned institution. Please note that upGrad facilitates program delivery and is not a college or university in itself. The credits and credentials for the programs featured here are awarded solely by the respective foreign universities. It is important to understand that these universities while providing these programs, may have accreditation and recognition in their home country, but they are not recognized by the University Grants Commission (UGC) of India. We strongly recommend that you thoroughly investigate the suitability of these programs for your academic and professional needs before enrolling.

    Hands-on Practice Immersion

    Learners will get to participate in intense practice sessions where they will learn to apply theoretical concepts to actual data, solve complex problems, and navigate the challenges that arise when working with real datasets. The Immersion Program is designed to enhance your critical thinking skills and problem-solving abilities. These will be offline sessions conducted at upGrad's Offline Learning Centre.

    High-quality instructors and teaching assistants

    High-quality instructors and teaching assistants

    In-person teaching from exceptional educators from IITs and IIMs with average 10+ years of experience.

    Smart Classrooms

    Smart Classrooms

    Air-conditioned classrooms with high-speed internet facility, secure connection, projectors, speakers, comfortable seating, and smart TV arrangements.

    Network with Peers

    Network with Peers

    Interact with people who share similar interests to build your professional network.

    Programme Overview

    Key Highlights

    300+ Hours of  in-person practice sessions
    300+ Hours of in-person practice sessions
    Flexible exit options available
    Flexible exit options available
    4 one-on-one mentorship sessions in the Master’s phase
    4 one-on-one mentorship sessions in the Master’s phase
    Dedicated Placement Drive
    Dedicated Placement Drive
    130+ hours of Placement Training in aptitude, Excel, soft skills and mock interviews
    130+ hours of Placement Training in aptitude, Excel, soft skills and mock interviews
    20+ Employability Tests
    20+ Employability Tests
    30+ Case Studies
    30+ Case Studies
    Modules on Generative AI latest tools & techniques
    Modules on Generative AI latest tools & techniques
    150+ Hours of on-demand self-paced learning
    150+ Hours of on-demand self-paced learning
    AI-powered profile builder
    AI-powered profile builder
    14+ Programming Tools & Languages
    14+ Programming Tools & Languages
    1 project per course
    1 project per course
    8 week-long Applied Master’s Project
    8 week-long Applied Master’s Project
    Optional pre-course modules for Data Science for non-tech learners at extra cost
    Optional pre-course modules for Data Science for non-tech learners at extra cost

    "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

    Upgrad_logo__1641810030894

    Syllabus

    A learner who opts for an early exit has the option of continuing the course in the future from where they exited. The pedagogy and delivery model may stand changed from when the learner initially enrolled.  

    For further clarification, please reach out to your admissions counselor.

    Download Syllabus

    Top Skills You Will Learn

    Predictive Analytics using Python, Machine Learning, Data Viview more

    Job Opportunities

    Data Analyst, Data Scientist, Data Engineer, Product Analystview more

    Who Is This Programme For?

    Anyone who is looking to enhance their qualification with anview more

    Minimum Eligibility

    Bachelor’s degree or 12+ 3 diploma with 5 years of work expeview more

    Programming Languages and Tools

    Master of Science in Data Science

    From upGrad Tech Pte. Ltd. an affiliate college and a constituent school of Woolf, EU.
    Earn a Masters degree which gives European credits
    From upGrad Tech Pte. Ltd.  an affiliate college and a constituent school of Woolf, EU.
    Click to zoom
    • Earn an alumni status from upGrad Tech Pte. Ltd.
    • Learn through real-life industry projects
    • Learn cutting-edge concepts of Data Science

    Disclaimer

    90 ECTS credits awarded in the MSDS delivered online. upGrad facilitates program delivery and is not a college/university in itself. Credits and credentials are awarded by the concerned institution.

    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

    Content designed by India’s leading data science faculty and industry experts

    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
    400+
    Content Hours Available
    15+
    Industry Projects
    1
    Master’s Project
    14+
    Programming Tools/ Languages

    Fundamentals of Predictive Modelling

    6 Weeks
    • Intro to Python - I
    • Intro to Python - II
    • Programming in Python
    • Basics of SQL
    • Advanced SQL - I
    • Graded Project: SQL - RSVP Movies

    Exploratory Data Analysis & Management

    6 Weeks
    • Python for Data Science - Numpy
    • Python for Data Science - Pandas
    • Data Visualisation in Python + EDA - I
    • EDA - II
    • Graded Project: Credit EDA
    • Buffer

    Topics in Data Mining

    6 Weeks
    • Data Modelling
    • Advanced SQL - II
    • Analytical Thinking and Structured Problem Solving
    • Data Structures and Algorithms
    • Searching, Sorting, Algorithm Analysis and Recursion
    • Graded Project: SQL & Python Lab

    Data Visualisation

    4 Weeks
    • Basic Visualisation using Tableau
    • Data Analysis and Visualisation in PowerBI
    • Introduction to AWS QuickSight and Google Looker Studio
    • Graded Project: Data Storytelling

    Statistical Inference

    5 Weeks
    • Inferential Statistics
    • Hypothesis Testing
    • Linear Regression - I
    • Linear Regression - II
    • Graded Project: Linear Regression

    Data Science in Practice

    3 Weeks
    • Casptone - Week 1
    • Casptone - Week 2
    • Casptone - Week 3

    Advanced Predictive Modelling

    6 Weeks
    • Logistic Regression - I
    • Logistic Regression - II
    • Classification using Decision Trees
    • Unsupervised Learning: Clustering
    • Model Selection - I
    • Graded Project: Lead Scoring

    Machine Learning I

    5 Weeks
    • PCA
    • Advanced Regression
    • Bagging & Random Forests
    • Model Selection - II
    • Graded Project: Telecom Churn

    Text Mining and Natural Language Processing

    5 Weeks
    • Basics of NLP and Text Mining - Lexical Processing
    • Neural Nets for NLP
    • Syntactic Processing
    • Introduction to Semantic Processing & Distributional Semantics
    • Graded Project: Syntactic Processing

    Introduction to Generative AI

    5 Weeks
    • Intro to Generative AI and ChatGPT
    • Prompt Engineering Techniques and Advanced Prompt Engineering
    • Applications of LLMs for Text based ML tasks
    • Graded Project: Create a LLM based application
    • Buffer

    Machine Learning II

    3 Weeks
    • Introduction to Convolutional Neural Networks
    • CNN Architectures and Industry Applications
    • Recurrent Neural Networks and Applied DL in NLP

    Applied Data Science - Masters Project (Masters Phase)

    8 Weeks
    • Masters Project - I
    • Masters Project - II
    • Masters Project - III
    • Masters Project - IV
    • Masters Project - V
    • Masters Project - VI
    • Masters Project - VII
    • Masters Project - VIII

    Flexible exit options available:
    Advanced Certificate in Data Science (36 ECTS): ~8 months
    Postgraduate Diploma in Data Science (60 ECTS): ~12 months
    Master of Science in Data Science (90 ECTS): ~15 months
    *The curriculum is subject to potential modifications in the future at the discretion of the faculty.

    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 faculty
    • Regular in-person doubt resolution sessions to facilitate better subject understanding

    The upGrad Advantage

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

    Industry-Leading Course Curriculum & Content

    Industry-Leading Course Curriculum & Content
    Case-based Pedagogy
    • Tools and Simulations, 50+ Caselets overall
    • Learn from industry cases for practical application
    Courses designed by industry experts
    • Course content and assignments designed in line with industry standards
    Blended Learning
    • Mix of Live Classes & Recorded lectures for your convenience
    benefits

    Extensive At-centre Learning Support

    Extensive At-centre Learning Support
    Expert Feedbacks & Supervisors
    • Personalised expert feedback on assignments and projects
    • Regular training sessions on aptitude and Excel with special hackathon sessions every week
    • 4 one-on-one mentorship sessions to help with the Master’s phase project
    Doubt Resolution & Feedbacks
    • In-person dedicated doubt resolution sessions every day
    • Join discussion forums to engage with your peers at any time
    benefits

    At-centre Placement Drives

    At-centre Placement Drives
    Maximize career opportunities
    • Regular soft-skills training sessions with experts to improve communication skills
    • Regular employability tests to improve skillsets and speed
    Network with hiring partners
    • Opportunity to interview with our hiring partners and connect with them
    • Meet industry experts, upGrad teams and alumni in fun-filled Networking Basecamps!
    benefits

    Unparalleled Career Services

    Unparalleled Career Services
    Personalised Mentorship & Coaching
    • Mentorship by industry experts to help you determine your Career Path & Options
    • One-on-one coaching to help you get the best career transition
    Mock Interviews, Resume Building
    • Get on-demand mock interviews for when you have to prepare for interviews
    • Use our AI-driven Top Resume Building tools to impress recruiters

    Our Learners Work At

    Top companies from all around the world have recruited upGrad alumni

    Over 500 Careers Transformed

    Admission Process

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

    Program Fees- Indian Residents

    ₹ NaN (Incl. Taxes)*

    View Plans
    *No Cost EMI options available
    Total Program Fee Breakup:
    MSDS - INR 1,77,000/- (Incl. Taxes)
    Hands-on Practice Immersion - INR 88,500/- (Incl. Taxes)
    The credit facility is provided by a third party credit facility provider and any arrangement with such third party is outside upGrad's purview.

    Empowering learners of tomorrow

    Start working towards your dream career today!

    Start Referring

    Refer someone and Earn upto INR 50,000 Cashback/Vouchers, on every successful enrollment

    Your friend also gets an instant scholarship!

    Note

    - 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 Eligibility

    Who is this program for?

    Anyone who is looking to enhance their qualification with an international Master’s degree, boost their employability and increase their chances of landing a better job with improved opportunities for career growth. (Do not take a gap)

    Is there an eligibility criteria for this program?

    Bachelor’s degree or 12+ 3 diploma with 5 years of work experience. Students in the final semester may also apply.

    What is the admission process?

    The admissions process is completely online. The following are the key steps in the application process: 

    Step 1 - Fill Application form : Fill out an application giving your basic profile details.

    Step 2 - Shortlisting and block payment: Once shortlisted, pay a block fee of INR 10,000 (Non-refundable)

    Step 3 - Offer letter and payment: Balance to be closed within 7 days or batch start date whichever is sooner. 

    Course Curriculum

    What kind of certification will I get after completion of this course?

    Post successful completion of this program, you will get a Masters degree in DS from upGrad Tech Pte. Ltd., an affiliate college and a constituent school of Woolf, EU.

    How much time do I need to spend to achieve success in the program?

    You will need to spend 20-25+ hrs/week to get optimum results and learn. 

     

    Overall, this program will have video content broken down into small easy-to-complete segments that you can watch on the go-across devices. The remaining hours of engagement will be a mix of industry projects, live instructor sessions, mentoring sessions and online and offline meetups. 

    How do I know that this program’s curriculum is the best?

    The curriculum is developed by by globaly renowned faculty with special inputs from industry experts, which makes it extremely relevant to working professionals. 

     

    Along with it, our Support Services, Career Assistance, and Live Sessions make it a classroom experience, which no one else in the market can offer. 

    How would these real-industry projects help me?

    Our programs have a strong experiential component that will prepare you to apply your learning on the job. Learn - Experience - Apply. Case Studies and industry projects will help you to experience real-life challenges in Management. These will enable you to step into the shoes of leading managers at companies and put to use the theoretical learning in an experiential manner. Post this programme, these will serve as a portfolio of projects you can illustrate to advance your career. 

    What kind of support does upGrad offer?

    - 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

    - Additionally, an upGrad buddy will enhance the learners’ experience by engaging with them to ensure they are on track with upcoming deadlines, and submissions, offer guidance and resolve their non-academic queries.

    - Extensive academic support through the Discussion Forum, and weekly TA-Sessions. Just like in a university, your batchmates will help you with any academic queries. This will happen via the Discussion Forum.

    - Other than your peers, you also have TAs (Teaching Associates) for any academic query. Your academic queries will be solved by the Faculty and TAs in 36-48 hours

     

    Refund Policy/Financials

    How much do I pay to block my seat?

    You need to pay ₹ 10,000 to block your seat, which is non-refundable. 

    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 and State Bank of India).

    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

    Is there any deferral or refund policy for this program?

    Refund Policy: (Programmes with prep-session component) 

    • Student must pay an applicable caution money for the enrolment to the Programme. This caution amount will be adjustable against the total Programme 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 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.
    • 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-Programme deferral as per the policy defined below for the same.
    • 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.
    • 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.
    • 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.

    1st Deferral (pre or post programme commencement) is free for all enrolled students with the following conditions:

    • The Executive Post Graduate Program learners should complete the course in a maximum duration of 3 years from the initial batch start date.
    • The Advanced Certificate Program learners should complete the course in a maximum duration of 2 years from the initial batch start date.

    2nd deferral will be charged as explained below. 

     2nd 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 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).

    2nd 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 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.

    upGrad Learner Support

    For Offline Learners
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