MS in Full Stack Artificial Intelligence
and Machine Learning
24 Months
program duration with 12-15 hours/week
Program Delivery
Pursue complete 2 years on-campus at Golden Gate University, USA
Ranked #1
for working professionals by Washington Monthly
Top 10%
U.S. Universities according to College Factual
Up to 36 months of Post-Study Work Visa
Programme Overview
The MS in Full Stack Artificial Intelligence and Machine Learning is ideal for professionals who are interested in building on their existing skills to become leaders in the field of AI and ML.
This program offers students an opportunity to learn a variety of foundational, computational and applied topics in Artificial Intelligence and Machine Learning. MS in Full Stack Artificial Intelligence and Machine Learning provides students with core knowledge in applied statistics,
computational tools, DevOps and ML Ops, that can be applied immediately in real-world problems or used as a launching point for more in-depth and expansive knowledge.
Learners study the entire degree program in the USA. Being an industry and practice-oriented program, students can work on Curricular Practical Training (CPT)* during the 2nd year and avail OPT after graduation
*Subject to necessary approvals
Brent White
Provost and Vice President for Academic Affairs
Golden Gate University
Eligibility
16 years of Formal Education
Graduates with a B.Tech from any discipline
OR B.Sc. + M.Sc. OR BCA + MCA combination.
A minimum score of 60% scores with English as a medium of instruction from an accredited university.
Application Process
Fill the application form
Take the INEX Exam
Clear the interview
Submit a statement of purpose, CV,
And 2 letters of recommendations
Receive admission letter from the Golden Gate University
Curriculum
MS in Full Stack Artificial Intelligence and Machine Learning
TOTAL CREDITS 55
The Master of Science in Full Stack Artificial Intelligence and Machine Learning is offered in a synchronous manner with optimum classroom intervention.
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.
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.
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.
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.
Databases, Data Warehousing and Advanced Python
3 Credits
- Learn to store, manipulate and access data in 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.
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.
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.
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.
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.
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.
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.
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.
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
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.
Fees & Financing
$30,000
100% education loan assistance
Program Benefits
- 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
- Designed for Freshers and Working professionals
- Live & interactive faculty, alumni, and industry-specific sessions
- Join GGU’s 70,000+ alumni network
- Access to the Golden Gate University digital library
- Global case study discussions
About Golden Gate University
70,000 Alumni
Founded in 1901
WASC & WES Accreditation and Approval
Golden Gate University, a private nonprofit university in the heart of San Francisco’s financial and high-tech district, empowers working adults to achieve their professional goals with nationally renowned undergraduate and graduate degrees and certificates. Founded in 1901, GGU has been a leader in online education for nearly three decades, and its programs offer maximum flexibility for modern students. With a primary campus in San Francisco, GGU also has teaching locations in Silicon Valley and Seattle.
Frequently Asked Questions
What is the Master of Science in Full Stack Artificial Intelligence and Machine Learning program?
The Master of Science in Full Stack Artificial Intelligence and Machine Learning is a full-time 2-year master's program designed for working professionals. This program is ideal for professionals who are interested in building on their existing skills to become leaders in the field of AI and ML.
This program offers students an opportunity to learn a variety of foundational, computational and applied topics in Artificial Intelligence and Machine Learning. The MS in Full Stack Artificial Intelligence and Machine Learning provides students with core knowledge in applied statistics, computational tools, DevOps and MLOps, that can be applied immediately in real-world problems or used as a launching point for more in-depth and expansive knowledge.
I am already a post graduate; will this course help me?
Yes, the dual degrees can boost your career. This Master of Science in Full Stack Artificial Intelligence and Machine Learning is more valuable since it trains you in the key technical knowledge and tools to bring about innovation and disruption within AI.
What are the Accreditations of Golden Gate University?
Golden Gate University, a private non-profit university in San Francisco, is recognized worldwide as one of the Top Business and Law Schools with accreditations from - WASC, ABA, and America Association of Law Schools.
Who is eligible to apply to the MS in AI and ML program?
Applicants with 16 years of education in any field can apply for this program given they have a minimum of 60% score in their bachelors from an accredited college or university
Do I need GRE, GMAT, and/or TOEFL?
You do not need to provide GRE/GMAT scores and English language proficiency scores (TOEFL/IELTS) to apply to this program. You must take the INSOFE Entrance Examination (INEX), your score on that test will determine your eligibility to INSOFE's admission. You must complete the GGU admission process as well to receive an admission letter from the university.
Are there any prerequisites to get into the master’s programs?
No, individuals with diverse professional experience from different industries are eligible to apply to the MS in AI and ML program from Golden Gate University. Your admission to the program is contingent on clearing the admission criteria of Golden Gate University and INSOFE Institute of Technology.
What is the process to apply to Golden Gate University?
Students must perform well on the INSOFE Entrance Examination (INEX) to be considered eligible for the INSOFE admission to Golden Gate University.
Clear the interview. During which time, we will help you apply to this dual specialization Master's of Science in Full Stack Artificial Intelligence and Machine Learning at Golden Gate University.
Will a good INEX score guarantee admission to Golden Gate University?
Students have to send an application to Golden Gate University, submit a statement of purpose along with recommendation letters and official transcripts.
While INSOFE will guide you on the application process, admission to Golden Gate University dual specialization masters is subject to the University’s discretion and cannot be guaranteed by INSOFE.
What is the duration of the program?
Once you're enrolled in MS in AL and ML program, you will take 55 credits worth of classes on-campus at Golden Gate University, USA.
How are the fees calculated?
The total fee for the course is $30,000 for the complete 2-year course to be paid as per the fee schedule mentioned in the admission letter.
Is my travel to the USA and accommodation included in the tuition fees?
No, the fee structure does not include travel and accommodation to the USA. Students are responsible for the costs of travel, accommodation, and subsistence
Will there be any financial assistance provided?
INSOFE Institute of Technology has tie-ups with 13 different leading banks in India. Indian students will be assisted by the program advisory team in applying for an education loan from one of these banks. Overseas citizens and other foreign national citizens will need to talk to the academic advisors who will guide them based on their specific requirements and situation
What amount do I have to pay before starting the program?
Before starting the program, the student has to pay an amount of INR. 50,000 to block a seat and the remaining amount to be paid post visa approval.
What visa will I get to do this program?
This Master of Science in Full Stack Artificial Intelligence and Machine Learning offered in partnership with Golden Gate University is a recognized post-graduation program that is eligible for a F1-visa which will be valid for the duration of your study.
Will I receive career service assistance?
Students who are enrolled in this program can avail the excellent career services options provided at the university and the onus is also on the student to find an appropriate job upon completing the degree.
Will I get a chance to work in the USA after graduating from the program?
The Master of Science in Full Stack Artificial Intelligence and Machine Learning falls in the STEM program category and is eligible for 3 years OPT*.
Subject to USCIS guideline
What documents do I need to submit when applying for a master’s at Golden Gate University?
In the GGU admission process, you have to submit all of the following documents
- Consolidated official marks memo/transcripts from all your past academic institutions (bachelor’s degree onwards only).
- GGU may ask transcripts be evaluated by an accreditation agency. Make sure you have enough time to get that done when applying to this program.
- Experience letters (if any)
- Statement of purpose – needs to adhere to the Golden Gate University guidelines
- Updated copy of your resume
- Two letters of recommendation (professional/academic mentors as references)
- Copy of your passport
Can I apply to the dual specialization master’s without going through INSOFE?
No, you cannot. The Master of Science in Full Stack Artificial Intelligence and Machine Learning is one of the programs provided only in a partnership with INSOFE and requires the student to complete part of their education in India before travelling to Golden Gate University.
| Fee Type | Amount | Refund Amount (INR) | Refund Condition |
|---|---|---|---|
| Application Fee | INR 3000 | 0 | Non-Refundable and Non-Transferable |
| Conditional Admission Fee | INR 50000 | 50,000 | Refundable in case: (i) the student's application is rejected by the Partner University/College, (ii) the education loan is not approved (iii) Student is admitted by the partner University and pays the 1st Sem/Term fee. (iv)There will be a deduction of INR 15,000 before the start of the course, no refund after the Program starts. |
*T&C apply