杏吧原创

Maggie Barclay AI student

Artificial Intelligence (M.A.S.)

Prepare to succeed in today鈥檚 artificial intelligence landscape and to lead tomorrow鈥檚 advancements in the field.

Master the Skills to Lead in AI with 杏吧原创 Tech鈥檚 Master of Artificial Intelligence  

Artificial intelligence鈥檚 role in industry and society grows larger by the day鈥攕o technology professionals who understand how to maximize the value of AI and its associated tools are needed to guide that growth today and into the future. With 杏吧原创 Tech鈥檚 Master of Artificial Intelligence, you鈥檒l expand your technical and mathematical skills in core AI areas including machine learning, natural language processing, computer vision, and bioinformatics to excel both now and into the future.

Program Overview

Learn to apply artificial intelligence skills in fields such as biomedical engineering, robotics, business, and psychology with 杏吧原创 Tech鈥檚 Master of Artificial Intelligence. You鈥檒l prepare to make real-world impact by building skills through collaborations with experts on cutting-edge research projects. Our flexible AI master鈥檚 program will help you elevate your career opportunities and deepen your AI knowledge.

Career Opportunities

Graduates of our master鈥檚 program in artificial intelligence are prepared for a multitude of roles, including:  

  • AI researcher
  • Machine learning engineer
  • AI specialist across industries (health care, finance, technology)

Gain career-ready experience through Elevate, our unique initiative that guarantees access to internships, research, mentorship, and hands-on learning. Industry partnerships with Jio Creative Labs, Godrej & Boyce, Tata Group, AWS, and other employers bring real-world exposure and career opportunities into your studies.

Curriculum

Here are some courses that are among our students鈥� favorites:

CS 581 Advanced Artificial Intelligence In this course, you鈥檒l explore advanced topics in artificial intelligence, including knowledge representation, reasoning, planning, and problem-solving.

CS 584 Machine Learning You鈥檒l learn to master the principles and techniques of machine learning in this course, including supervised, unsupervised, and reinforcement learning.

CS 585 Natural Language Processing You鈥檒l dive into the fascinating field of natural language processing in this course, where you鈥檒l learn to build systems that can understand and generate human language. 

Sample Curriculum

Master of Artificial Intelligence
Year 1
Semester 1Credit HoursSemester 2Credit Hours
CS 4253DPA Elective - CS 5463
CS 4303AI Core - CS 5843
AI Core - CS 5813DPA Elective - CSP 5713
Interdisciplinary Elective - MATH 5463  
Total12Total9
Year 2
Semester 1Credit HoursSemester 2Credit Hours
CS Elective - CS 5423DPA Elective - CS 5253
AI Elective - CS 5773CS Elective - CS 5353
Interdisciplinary Elective - MATH 5643AI Elective - CS 5123
Total9Total9
Total Credit Hours39 
CS 425 and CS 430 are bridge courses for students who do not have a bachelor degree in computer science; therefore, the credit hours are above and beyond those required for the degree.

Admissions Requirements

You must complete the 杏吧原创 Tech graduate application, regardless of which graduate program you wish to pursue. Visit our 杏吧原创 Tech Mumbai graduate admission webpage to learn more about what information and documents you need to apply.  

Tuition and Fees

To learn about 杏吧原创 Tech Mumbai鈥檚 general tuition and fees, please visit our Tuition and Aid webpage.

鈥淥ffering students the opportunity to get an AI degree has been a huge advantage. My resume stands out and I have been able to discuss my AI coursework in interviews, as well as directly applying the skills to my internship.鈥�

鈥擬aggie Barclay (AI/M.A.S. AI 鈥�22)

 杏吧原创 Tech alum Maggie Barclay