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For College Students

of Educational Excellence

120+ Years

for working professionals by Washington Monthly

Ranked #1

program duration with 12-15 hours/week

-- Months

with weekend classes

100% on-campus

Next start date

Cohort Not Decided Yet

    Program Overview

    Key Highlights

    Designed for Working Professionals
    Designed for Working Professionals
    A highly balanced coursework in data science, machine learning, DevOps and MLOps
    A highly balanced coursework in data science, machine learning, DevOps and MLOps
    Design, develop, and deploy AI based blueprint to solve domain specific business problems
    Design, develop, and deploy AI based blueprint to solve domain specific business problems
    STEM Approved (For pathway and USA option only)
    STEM Approved (For pathway and USA option only)
    WES recognized
    WES recognized
    Live & interactive faculty, alumni, and industry-specific sessions
    Live & interactive faculty, alumni, and industry-specific sessions
    Access to the Golden Gate University digital library
    Access to the Golden Gate University digital library
    Heavily practice-oriented curriculum unlike traditional universities
    Heavily practice-oriented curriculum unlike traditional universities
    Join GGUs 70K+ alumni network
    Join GGUs 70K+ alumni network

    #1 Country for Higher Education
    Get a degree from the U.S., ranked #1 among countries with the best educational systems*. Earn the same U.S. Master's Degree we award on campus!

    *Source: World Population Review, 2022

    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

    - Advanced Python for ML Engineering
    - DevOps and MLOps
    view more

    Minimum Eligibility

    Engineer (B.Tech) with minimum 60% scores with English as a view more

    Who Is This Program For?

    The program is for any working professional who wants to buiview more

    Programming Tools & Languages Covered

    About the Program

    WASC Accreditation & WES Recognition

    WASC Accreditation & WES Recognition

    GGU has been accredited by WASC Senior College and University Commission (WSCUC) since 1959 and it is WES recognized. WASC accredits universities in California and Hawaii, including Stanford, UC Berkeley, and others. WSCUC is nationally recognized by the US Department of Education and the Council for Higher Education Accreditation (CHEA).

    Learn from Scholar Practitioners

    Learn from Scholar Practitioners

    Learn from 80 Ph.D. faculty and industry leaders

    Weekend Classroom Sessions

    Weekend Classroom Sessions

    This full-time master’s program is offered in a flexible way for working professionals where students will spend time learning 100% on-campus with weekend classes. With 5:1 Student- Faculty Ratio. We believe the level of applied knowledge is imparted better in a classroom where students get the benefit of interacting with the professors in person and get a hands-on experience of practical scenarios.

    Earn the same U.S. Master's Degree Golden Gate University awards on-campus

    Master of Science in Full Stack Artificial Intelligence and Machine Learning
    Earn the same U.S. Master's Degree Golden Gate University awards on-campus. On successful completion of the program, graduates become a part of a 120+ year education heritage with all the benefits that accompany a Master of Science in Full Stack Artificial Intelligence and Machine Learning from the #1 ranked university for working professionals.
    Master of Science in Full Stack Artificial Intelligence and Machine Learning
    Click to zoom
    • A degree from a pioneering university based in the innovation capital of the world
    • Full alumni status from Golden Gate University
    • Join a 70,000+ network of NASA astronauts, mayors, C-suite leaders, and entrepreneurs

    Disclaimer

    *This image is a sample degree from Golden Gate University, awarded to eligible students upon successful completion of the program. Please contact the admissions team to learn more.

    Learn like you’re right there in San Francisco

    Watch David Fike (President, GGU), Brent White (Provost and Vice President of Academic Affairs, GGU), and Phalgun Kompalli (Co-founder, upGrad) talk about the collaboration that makes it possible.

    Syllabus

    The Master of Science in Full Stack Artificial Intelligence and Machine Learning is offered in a synchronous manner with optimum classroom intervention. 

    Download Brochure

    Term 1: Statistics and Programming Foundations for Data Science

    3 Credits
    • Understand the building blocks driving the global AI and ML revolution
    • Learn descriptive statistics, probability and probability distributions as applicable to Data Science/AI/ML
    • Use sample data to infer about larger populations using Confidence Intervals and Hypothesis Testing
    • Learn Python programming to analyze and process data prior to building AI and ML models

    Term 1: Statistics and Probability in Decision Modeling

    3 Credits
    • Predict outcomes of various business problems using multiple input variables and data
    • Discover the relationships between variables and identify the variables that impact the outcome the most
    • Learn to transform data and engineer new features for improving predictive accuracy

    Term 1: Data Visualizations and Machine Learning

    3 Credits
    • Learn to transform the data and build powerful visuals, charts, reports, dashboards and storyboards using Python and Tableau
    • Gain insights from data and effectively communicate them to both technical and non-technical audiences for enabling business decision-making
    • Extract patterns from data using various supervised and unsupervised Machine Learning techniques
    • Evaluate errors in predictions and improve model performance

    Term 2: AI and Deep Learning Applications for NLP

    3 Credits
    • Find optimal solutions to business problems given a set of constraints using linear programming techniques and heuristic models
    • Learn to implement artificial neural networks and deep neural networks on both structured and textual data
    • Implement state-of-the-art techniques like transformer models to solve business problems in text classification, information extraction, sentiment analysis, text generation, entity extraction from documents, etc

    Term 2: Databases, Data Warehousing and Advanced Python

    3 Credits
    • Learn to store, manipulate and access data in a variety of repositories like relational and non-relational databases, data warehouses, data marts and data lakes in order to enable efficient extraction and transformation of data for business needs and analytical modelling.
    • Learn advanced programming and networking concepts using Python to solve enterprise-grade business problems.

    Term 2: Data Structures and Algorithms

    3 Credits
    • Learn relationships among data values, and functions and operations that can be applied to them to efficiently organize, process, retrieve and store data for building different types of sophisticated applications.
    • Apply programming best practices to write clear and unambiguous steps with well-defined inputs and outputs for solving problems.

    Term 3: Computer Vision Fundamentals and Deep Learning Applications

    3 Credits
    • Learn to process images such as in medical imaging, defect classification, satellite imagery, object identification and classification, etc., and extract spatial patterns and features using Convolutional Neural Networks and other architectures.
    • Learn advanced concepts of Transfer Learning, Data Augmentation, Object Detection and Image Segmentation, etc.

    Term 3: Capstone Project

    6 Credit
    • Apply knowledge and concepts learned during the program to critical think about the problem, identify potential solutions, implement them using Python, and present results effectively using data visualizations and storytelling.

    Term 4: Applying ML to Big Data Using Hadoop and Spark Ecosystem

    4 Credits
    • Solve challenges posed by large volumes and variety of data that includes structured data, text, images, audio, video, etc., using Hadoop and Spark technology frameworks.
    • Implement AI and ML models on such big data using Spark on the Hadoop cluster for solving large-scale enterprise problems.

    Term 4: Capstone Project

    6 Credits
    • Apply knowledge and concepts learned during the program to critical think about the problem, identify potential solutions, implement them using Python, and present results effectively using data visualizations and storytelling.

    Term 5: DevOps and MLOps

    3 Credits
    • Learn concepts and tools for continuous software development, continuous integration, versioning, monitoring, system dependencies, etc.
    • Understand the need to collaborate with various teams such as operations, software developers, IT and others to build and deploy ML and AI models in production environments.

    Term 5: Capstone Project

    6 Credits
    • Apply knowledge and concepts learned during the program to critical think about the problem, identify potential solutions, implement them using Python, and present results effectively using data visualizations and storytelling.

    Term 6: Data Engineering Services on Cloud

    3 Credits
    • Understand various types of cloud computing services enterprises use to manage their data on cloud.
    • Learn Microsoft Azure global infrastructure and deploy AI and ML projects using Azure’s compute, basic services, storage, data factory, data bricks and synapse analytics.

    Term 6: Capstone Project

    6 Credits
    • Apply knowledge and concepts learned during the program to critically think about the problem, identify potential solutions, implement them using Python, and present results effectively using data visualizations and storytelling.

    Instructors

    The upGrad Advantage

    benefits

    Career Services

    Career Services
    Access to upGrad’s career portal
      1:1 mentorship session
        Access to 300+ job openings
          Resume building tool
            Industry specific interview preparation
              Just in time interviews
                benefits

                Learning Support

                 Learning Support
                Learn from PhD Holders
                • Receive unparalleled guidance from PhD Holders with industry experience
                • Receive one-on-one feedback on submissions and personalised feedback on improvement
                Student Support
                • Dedicated Student Support available
                • For urgent queries, use the call back option on the platform.
                Peer to Peer Learning
                • Gain new perspectives learning from your peers
                • Higher involvement with the exchange of information from your peers
                benefits

                Doubt Resolution

                Doubt Resolution
                Q&A Forum
                • Timely doubt resolution by PhD holders and peers
                • Responses verified by PhD Faculty to ensure quality learning
                Expert Feedback
                • Personalized expert feedback on assignments and projects
                • Regular live sessions by experts to clarify concept-related doubts

                Admission Process

                There are 5 simple steps in the Admission Process which is detailed below:

                Program Fees

                COMPLETELY IN INDIA
                For Working professionals

                Study 2 years in India and attend weekend in-person classes
                Hyderabad, Bangalore, Mumbai and Delhi Course Cost
                $ 10,000
                (Pathway Option - $25000 | Study in USA Option - $30000)

                Empowering learners of tomorrow

                Golden Gate University Alumni Work At

                Frequently Asked Questions

                Refund Policy/Financials

                What is the refund policy for this program?

                1. You may request a refund for the program at any time before the cohort commencement date by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile.  A processing fee of Rs. 10,000 will be charged. Please note that once the Program commences, no refund request will be considered, and any amount paid by the student will not be refunded.
                2. Requests for refund must be sent via email in the prescribed Refund Request Form. The refund will be processed within 30 working days of commencement of the program. For refund and deferral policies please refer to this link.

                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, State Bank of India, CITIBANK and HSBC).

                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

                upGrad Learner Support

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

                Disclaimer

                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.