Best Global Universities in the world-U.S. News and World report*Top 100
Format Fully Online
Recommended 12-15hrs/week-- Months
Start DateComing Soon
+1 (240) 719- 6120Call us Now!

Disclaimer:

*Only those residing outside the United States of America may apply to this program

    Program Overview

    Key Highlights

    Python Programming Bootcamp
    Python Programming Bootcamp
    Designed for Working Professionals
    Designed for Working Professionals
    9+ Programming Tools & Languages
    9+ Programming Tools & Languages
    Masterclasses by Industry Experts
    Masterclasses by Industry Experts
    Career Mentorship Sessions (1:1)
    Career Mentorship Sessions (1:1)
    High-performance Coaching (1:1)
    High-performance Coaching (1:1)
    Just-in-time Interviews
    Just-in-time Interviews
    Industry Readiness Assessments
    Industry Readiness Assessments
    Career Essential Soft Skills Program
    Career Essential Soft Skills Program
    University of Arizona Alumni Status
    University of Arizona Alumni Status
    25+ Industry-driven Case Studies
    25+ Industry-driven Case Studies
    Student Support available all day for your convenience (24*7). For urgent queries, use the Call Back option on the platform
    Student Support available all day for your convenience (24*7). For urgent queries, use the Call Back option on the platform
    Exclusive Job Opportunities Portal
    Exclusive Job Opportunities Portal
    AI-powered Profile Builder
    AI-powered Profile Builder
    Personalised Industry Session
    Personalised Industry Session
    Career Bootcamp
    Career Bootcamp
    30+ Live Learning Sessions
    30+ Live Learning Sessions
    1350 Hours of Learning
    1350 Hours of Learning
    Accredited by Institute of Analytics UK (IOA)
    Accredited by Institute of Analytics UK (IOA)
    English subtitles available for recorded content
    English subtitles available for recorded content

    "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__1595246121403

    Syllabus

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

    Download Syllabus
    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
    Target Audience
    Managers and Aspiring Managers, MBA Graduates, Engineers, Prview more
    Minimum Eligibility
    - Bachelor’s Degree (with minimum 50% score | medium of instview more

    Programming Languages and Tools Covered

    Global Lecturers

    Learn from leading Data Science faculty and industry leaders

    Syllabus

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

    Download Brochure
    25+
    Industry driven case studies
    30+
    Live Sessions
    10 w
    Capstone Projects
    1350
    Hours of Learning

    Course 0 - Pre Course Requisites

    3 Weeks
    • Fundamentals of Calculus and Probability
    • Basics of R Programming
    • Basics of Python Programming

    Course 1 - Data Analysis and Visualization

    10 Weeks
    1 Assignment
    • Functional Programming in Python
    • Data Structures and Algorithms
    • Database Design and Introduction to MySQL
    • Tableau
    • Essential Data Science Tools: Github and Jekyll

    Course 2 - Data Mining and Discovery

    10 Weeks
    1 Assignment
    • Libraries for Data Science: Numpy, Pandas
    • Advance Visualisation
    • Exploratory Data Analysis
    • Inferencing from Data with R
    • Hypothesis Testing with R

    Course 3 - Introduction to Machine Learning

    11 Weeks
    1 Assignment
    • Building Linear Regression Models from Scratch
    • Linear Regression practical applications
    • Logistic Regression
    • Decision Trees
    • Random Forest
    • PCA
    • Clustering
    • Bagging, Boosting and Regularization
    • Model Selection and Feature Engineering

    Course 4 - Data Base Development and Management

    9 Weeks
    1 Assignment
    • Advance SQL
    • Introduction to NoSQL

    Course 5 - Data Warehousing and Analytics in the Cloud

    10 Weeks
    1 Assignment
    • Introduction to Cloud
    • Elastic Provision Services of Cloud and Setting up Cloud
    • Introduction to HDFS
    • Hive Querying
    • Introduction to Spark
    • Handling Big Data with Spark
    • SparkML

    Capstone Project - 1

    5 Weeks
    • Best practices for Effective Communication
    • Capstone Project

    Course 6 - Neural Networks

    10 Weeks
    1 Assignment
    • Introduction to Neural Networks
    • CNN
    • RNN
    • Computer Vision

    Course 7 - Applied Natural Language Processing

    10 Weeks
    1 Assignment
    • Lexical Processing
    • Syntactic Processing
    • Semantic Processing
    • Introduction to Attention Mechanism
    • Advanced Language Models: BERT, GPT

    Course 8 - Managing the Digital Information Environment

    10 Weeks
    1 Assignment
    • Structured Problem Solving
    • Data Storytelling
    • Framework to DS/ML Solution Building Strategy
    • Building Data Architecture
    • Introduction to MLOps
    • Introduction to Data and Model Lifecycle

    Course 9 - Ethical Issues in Information

    9 Weeks
    1 Assignment
    • Ethical Foundations
    • Ethics in Data
    • Ethics in Modelling

    Capstone Project- 2

    5 Weeks
    • Capstone Project 2

    Industry Projects

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

    The upGrad Advantage

    benefits

    Learning Support

    Learning Support
    Industry Mentors
    • Receive unparalleled guidance from global industry mentors, teaching assistants and graders
    • Receive one-on-one feedback on submissions and personalised feedbacks on improvement
    Student Support Team
    • Student Support available all day for your convenience (24*7).
    • For urgent queries, use the Call Back option on the platform.
    benefits

    Doubt Resolution

    Doubt Resolution
    Q&A Forum
    • Timely doubt resolution by Industry experts and peers
    • 100% Expert-verified responses to ensure quality learning
    Expert Feedback
    • Personalised expert feedback on assignments and projects.
    • Regular live sessions by experts to clarify concept related doubts.
    benefits

    Industry Networking

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

    Program Fees

    ₹ NaN

    *Earn a Certificate from the #1 Business School in the world for an additional $2000.
    Start Referring

    Refer someone you know and receive cash reimbursements of up to $500!*

    *More details under the referral policy under Support Section

    Student Reviews

    Empowering learners of tomorrow

    Our Learners Work At

    Top companies from all around the world have recruited upGrad alumni

    Admissions Process

    Disclaimer

    - Exemption for students with a bachelor's degree from an institution where medium of instruction was English. Subject to verification.

    Frequently Asked Questions

    Course Curriculum

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

    The Master's degree is an engaging yet rigorous 24-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 University of Arizona.

    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 12-15 hours of time commitment per week, applying new concepts and executing industry relevant projects.

    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. 

    Is any certification granted at the end of the program?

    Post successful completion of the program, a Masters in Data Science would be granted from the University of Arizona.

    Time Commitment

    What is the time commitment expected for the program?

    At least 12-15 hours per week of time commitment is expected to be able to graduate from the program.

    Career Prospects and Support

    What type of career support should I expect from this program?

    Preparatory Support: Mentoring on how to make the best resume for a data professional, highlighting technical and domain expertise. Data Science interview preparation and interview mentoring by industry experts.

     

    Access to Opportunities: Profiles of students will be circulated in upGrad's network of companies. For learners with 5+ years of experience, it becomes more difficult to convert these opportunities than others. For them, it's more about how to inculcate data-driven leadership in the current job and plan a transition into Data analytics or Data Science in the medium-to-long run.

    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.

    Refund policy/Financials

    Is there a refund policy for this program?

    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?

    Step 1: Take the English Proficiency Test

    • University of Arizona accepts the following English Proficiency test scores: IELTS, TOEFL, Pearson PTE Academic, CEPT Full Academic.

    Step 2: Take the Eligibility  Test and Submit your SOP

    • The online test will check your aptitude, mathematical & programming skills. At the end of this test, you will be asked to submit an SOP(~500words)

    Step 3: Receive your Offer Letter and Block your Seat

    • The application will be reviewed by upGrad & University of Arizona. Upon qualifying, an offer letter will be released. You can then block your seat!

    Is there any minimum educational qualification required to take this program?

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

    • Bachelor’s Degree (with minimum 50% score | medium of instruction - English) from an accredited college or university recognised by the University of Arizona.
    • 4 year accredited Bachelor's OR 3 year accredited Bachelor's + Master's OR 3 year accredited Bachelor's + Post Graduate Diploma OR 3 year Bachelor’s by itself provided the degree is at least 120 credits and the degree has been earned in Division I and the institution is accredited by the National Assessment and Accreditation Council (NAAC) with an institutional score of 'A' or better
    • Completed Undergraduate-Level Mathematics Coursework and be familiar with Computer Programming (Candidates without coursework in Mathematics would be considered on a case-to-case basis based on profile and entrance test scores).

    Disclaimer

    1. upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of an educational institution. upGrad does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated. If you intend to pursue a post graduate or doctorate degree upon completion of this course or apply for employment which requires specific credits, we advise you to enquire further regarding the suitability of this degree for your academic and/or professional requirements before enrolling.

    **All telephone calls will be recorded for training and quality purposes.

    **If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.