MS in Artificial Intelligence and Machine Learning

The MS in Artificial Intelligence and Machine Learning program offered by Walsh College provides a comprehensive curriculum covering advanced applications of Artificial Intelligence and Machine Learning. This fully online program emphasizes practical experience to equip students with the necessary skills in the field. The program features industry-relevant content including modules on ChatGPT and Generative AI, with no GRE/GMAT/TOEFL requirements. Students will complete 12 hands-on projects, 30+ case studies, and a capstone project while gaining alumni status from Walsh College.

Instructors:

Dr. Dave Schippers

James Gerrity

English

Not specified

Applications Deadline:
Application closes Today
Duration:
1 Year

₹ 2,95,000

Add to compare

Overview

The MS in Artificial Intelligence and Machine Learning program offered by Walsh College provides a comprehensive curriculum covering advanced applications of Artificial Intelligence and Machine Learning. This fully online program emphasizes practical experience to equip students with the necessary skills in the field. Students will learn critical networking concepts, operating systems implementation, data visualization methods, and mathematical concepts used in AI and Deep Learning. The program includes 12 hands-on projects, 30+ case studies, and a capstone project at the end. The curriculum is industry-relevant with modules on ChatGPT and GenAI. The program is WES recognized and designed for working professionals, with no GRE/GMAT or TOEFL requirements.

Why Master of Science (MSc)?

The MS in Artificial Intelligence and Machine Learning program from Walsh College stands out as an affordable and accessible option for professionals seeking to advance their careers in AI and ML. With the program priced under INR 3.5 Lakhs, it offers exceptional value compared to similar master's programs. The curriculum is specifically designed for working professionals with a fully online format that allows flexibility. The program requires no GRE/GMAT or TOEFL, making it easier to apply without additional testing requirements. Students receive alumni status from Walsh College upon completion, opening doors to valuable networking opportunities. The program is also WES recognized, ensuring global credential recognition.

What does this course have to offer?

Key Highlights

Designed for Working Professionals
Pursue MS in AIML for under INR 3.5 Lakhs
12 Hands-on Projects and 30+ Case Studies
1 Capstone Project at the end
Get Alumni Status from Walsh College
No GRE/GMAT or TOEFL Requirement
Includes modules on ChatGPT and GenAI

Who is this programme for?

Professionals looking to advance their careers in AI and ML
Learners from PGP-AIML and G-Lakes AIML programs
Individuals seeking a WES recognized qualification
Working professionals seeking flexibility in learning
Practitioners wanting to gain expertise in emerging technologies like ChatGPT and GenAI

Minimum Eligibility

Applicants must hold a 3 or 4-year bachelor's degree or equivalent in any discipline with a minimum of 60% marks from a UGC-recognized university or institution.
The medium of instruction must be in English.
Only learners from PGP-AIML and G-Lakes AIML are eligible to pursue this program.
Candidates should score a minimum of 2.75 CGPA in the 1st year to be eligible for 2nd year on campus at Walsh College.

Who is the programme for?

The MS in Artificial Intelligence and Machine Learning program features a streamlined application process that requires no GRE/GMAT or TOEFL scores. Applicants must hold a 3 or 4-year bachelor's degree or equivalent in any discipline with a minimum of 60% marks from a UGC-recognized university or institution, with English as the medium of instruction. Only learners from PGP-AIML and G-Lakes AIML are eligible to pursue this program. The application process consists of four simple steps: applying online, pre-screening via phone to confirm eligibility, application assessment, and acceptance. Candidates who are selected will receive an offer for the upcoming cohort and can secure their seat by paying the fee. It's important to note that candidates should score a minimum of 2.75 CGPA in the 1st year to be eligible for 2nd year on campus at Walsh College.

Important Dates

Selection process

How to apply?

Curriculum

The MS in Artificial Intelligence and Machine Learning curriculum is structured to provide students with comprehensive knowledge and practical skills in the field. The program includes five core courses designed to build foundational and advanced knowledge in AI and ML. Network Fundamentals introduces critical networking concepts in an enterprise environment, covering Networking Design, Security, Implementation, and Remote Connectivity through hands-on labs and assessment. Operating Systems and Virtualization covers setup and configuration of client and server operating systems in networked environments, including Critical Infrastructure, Setup, Maintenance and Troubleshooting concepts. The Data Visualization and Predictive Modeling course focuses on visual representation methods and techniques for complex data, using Statistical Tools and Visualizations to improve comprehension and decision making. Mathematics of Artificial Intelligence & Machine Learning presents critical mathematical concepts used in AI and Deep Learning, with a focus on Linear Algebra and Analytic Geometry. The program culminates in either a Capstone Project or Practicum, allowing students to integrate their learning within a project framework or gain practical hands-on experience at a business.

There are 5 semesters in this course

The MS in AI and Machine Learning program features five comprehensive courses. Network Fundamentals explores critical networking concepts in enterprise environments through hands-on labs, covering design, security, implementation, and remote connectivity. Operating Systems and Virtualization focuses on setting up client and server operating systems in networked environments, including critical infrastructure setup, maintenance, and troubleshooting. Data Visualization and Predictive Modeling teaches visual representation methods for complex data using statistical tools to improve comprehension and decision-making. Mathematics of Artificial Intelligence & Machine Learning covers essential mathematical concepts for AI and Deep Learning, focusing on linear algebra and analytic geometry. The program concludes with either a Capstone Project, where students integrate their learning into a comprehensive project presented at a Capstone Fair, or a Practicum offering hands-on experience at a business. Throughout the program, students work with industry-standard tools including Python, Keras, NumPy, TensorFlow, Matplotlib, Scikit Learn, Seaborn, and Statsmodels.

Network Fundamentals

Operating Systems and Virtualization

Data Visualization and Predictive Modeling

Mathematics of Artificial Intelligence & Machine Learning

Capstone or Practicum

Programme Length

The MS in Artificial Intelligence and Machine Learning is a 2-year program delivered in a fully online format with live classes. The program is designed for working professionals, offering flexibility while maintaining academic rigor. Students can study at their own pace within the structured curriculum, making it easier to balance professional commitments with educational pursuits.

Tuition Fee

The MS in Artificial Intelligence and Machine Learning program is offered at a competitive price of under INR 3.5 Lakhs, making it an affordable option for a master's degree in this specialized field. The program follows a semester-wise fee structure, allowing students to manage their financial commitments more effectively. While specific payment plans are not detailed, the program aims to be accessible to working professionals. The application process is straightforward with no additional costs for entrance exams, as there are no GRE/GMAT or TOEFL requirements. This cost-effective approach provides students with a valuable return on investment, considering the comprehensive curriculum, industry-relevant skills, and the prestigious alumni status from Walsh College that graduates receive.

Fee Structure

Payment options

Financing options

Financial Aid

Learning Experience

The MS in Artificial Intelligence and Machine Learning program offers a comprehensive learning experience through a fully online format with live classes. The curriculum is designed to balance theoretical knowledge with practical application, featuring 12 hands-on projects, 30+ case studies, and a capstone project. Students learn from top faculty and leading industry practitioners who bring real-world expertise to the virtual classroom. The program utilizes industry-standard tools and technologies including Python, Keras, NumPy, TensorFlow, Matplotlib, Scikit Learn, Seaborn, and Statsmodels. The curriculum includes modules on cutting-edge technologies like ChatGPT and Generative AI, ensuring students gain skills that are highly relevant in today's job market. The program also offers dedicated career support through GL-Excelerate, which includes exclusive career fairs, hackathons, access to job boards with 100+ postings, one-on-one mentoring from industry experts, and career services like profile building and mock interviews.

University Experience

The MS in Artificial Intelligence and Machine Learning program offers students the opportunity to become part of the Walsh College community. Upon completion, graduates receive Alumni Status from Walsh College, which provides networking opportunities and continued connection to the institution. The program is WES recognized, ensuring that the degree has international recognition and validity. Students benefit from learning with top faculty and leading industry practitioners who bring real-world expertise to the classroom. While the program is primarily delivered online, candidates who score a minimum of 2.75 CGPA in the 1st year are eligible for the 2nd year on campus at Walsh College, providing a potential in-person university experience. Throughout the program, students have access to dedicated career support services, including exclusive career fairs, hackathons, job boards, one-on-one mentoring, and mock interviews, enhancing their professional development and industry connections.

About the University

Walsh College is recognized for its business-oriented programs designed to equip students with real-world skills. Originally established as an accounting school, the college has expanded into fields such as finance, information technology, management, cybersecurity, and data analytics. It offers flexible learning options, including online and hybrid formats, making it ideal for adult learners and professionals seeking career advancement. Walsh emphasizes small class sizes, industry-expert faculty, and personalized attention to students. Accredited by the Higher Learning Commission (HLC) and the Accreditation Council for Business Schools and Programs (ACBSP), Walsh maintains high academic standards while fostering innovation in education.

#761

Other Ranking in the united states

#30

Other Ranking in the Ohio

1,744

Total Enrollment

Affiliation & Recognition

Higher Learning Commission (HLC)

Accreditation Council for Business Schools and Programs

Career services

Walsh College offers comprehensive career services to support both current students and alumni in achieving professional success. The Career Services team provides personalized guidance through resume reviews, mock interviews, LinkedIn profile optimization, career coaching, and job search strategies. Students can participate in workshops, networking events, employer fairs, and lunch-and-learn sessions that connect them with Michigan’s top companies. Walsh also hosts on-campus recruiting events and virtual webinars to facilitate direct interaction between students and potential employers. The college’s partnerships with over 1,000 businesses ensure strong employment opportunities for graduates across industries such as finance, IT, automotive, healthcare, and cybersecurity. Additionally, Walsh maintains an active alumni network that provides mentorship and career advancement support. These services are tailored to meet the needs of working professionals who often balance education with other responsibilities. Through its targeted approach to career development, Walsh empowers students to navigate the job market confidently and secure meaningful roles aligned with their aspirations

Over 1,000 local businesses

Employer Partnerships:

Applications Deadline:
Application closes Today
Duration:
1 Year

₹ 2,95,000

Add to compare

Whom you will learn from?

Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.

Instructors

Dr. Dave Schippers

Associate Professor of Cybersecurity and Information Technology

Dr. Dave Schippers is an Associate Professor with extensive industry experience in information technology, cybersecurity, and project management. He has worked on large-scale system designs, quality assurance testing, and implementations impacting businesses with operations nearing a billion dollars. His leadership roles include overseeing technology operations for multi-million-dollar enterprises, managing security operations across multiple sites, and engineering security alert systems. Dr. Schippers played a key role in establishing Walsh’s Advanced Team-Based Attack/Defend Techniques course and designing the nation’s first Bachelor of Science concentration in Automotive Cybersecurity. His research focuses on digital forensics, GPS data accuracy, and cybersecurity, and he has spoken at national and international conferences, including the Auto ISAC conference on automotive cybersecurity.

James Gerrity

Adjunct Associate Professor, Business Analytics and Risk Management Expert

James Gerrity is an Adjunct Associate Professor with over 20 years of experience in supervisory roles, human resource development, and operations management. His expertise lies in quantitative methods, business analytics, and risk management, with a strong focus on applying data-driven approaches to enhance client service and financial processes. Beyond analytics, he emphasizes the importance of ethical relationship-building, engagement, and collaboration. With a long-standing career at Morgan Stanley Wealth Management and its predecessor firms since 2000, Gerrity has been instrumental in coaching and developing staff. He holds multiple FINRA licenses, including Series 3, 4, 7, 8, 24, 27, 63, and 65.

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Instructors

Dr. Dave Schippers

Associate Professor of Cybersecurity and Information Technology

James Gerrity

Adjunct Associate Professor, Business Analytics and Risk Management Expert

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

What are the eligibility criteria for this program?

Is there any on-campus component in this program?

What career support is provided during the program?

What is the application deadline?

What is the total fee for this program?