The online MCA in Artificial Intelligence (AI) and Machine Learning (ML) is a postgraduate program that can be pursued only after completing an undergraduate program either in Computer Applications which is a BCA program or in any other specialization with Computer Science as one of the core subjects. Candidates who are seeking admission to an MCA program in ML and AI will gain deeper insights into both domains and can gain leadership jobs in different organizations worldwide. 

Universities across the nation offering the program online hold approvals and recognitions from several accredited institutions including AICTE, DEB, and UGC ensuring quality education about the course at the global level. Candidates who have studied computers and their different aspects during their undergraduate programs will have an upper hand in grasping great career opportunities in the real corporate world. 

In the era of Artificial intelligence and Machine learning, candidates who are equipped with such knowledge are rare and in high demand across the globe. Industries offer them high salary packages, the average salary of an online MCA graduate in AI and ML ranges between INR 5 LPA to 12 LPA, and this can grow substantially with the increasing experience in the field.

The program is designed meticulously for working professionals and for those individuals who can not attend on-campus lectures due to any reason whether lack of resources, lack of time, daily life commitments, unavailability, or financial constraints. Such candidates can continue their higher education by enrolling in an online MCA program in Artificial Intelligence (AI) and Machine Learning (ML) which is pocket-friendly and allows learners to upscale their skills at their pace and convenience. 

The sole purpose of this comprehensive guide is to provide students with the relevant details of the program including the eligibility criteria, fee structure, other MCA specializations, duration of the program, fee structure, career opportunities, and several others.

Key Features of Online MCA in Machine Learning (ML) and Artificial Intelligence (AI) Program

• The Online MCA program in Artificial Intelligence (AI) and Machine Learning (ML) spans 2 years. However, it can be extended up to 4 years.
• The flexibility of online learning is one of the program’s advantages.
• Online learning allows learners to set their schedules for learning at their convenience and attain the curriculum of the program at their own pace.
• Various accredited bodies including AICTE, UGC, and DEB offer their recognition to the program making it valid worldwide.
• Core subjects like Mathematical Foundation for Computer Application, RDBMS, Mathematical Foundation for Computer Application, Data Communication and Computer Networks, R Programming, Python Programming, Structured Query Language (SQL), Artificial Intelligence (AI), Cross-Functional Elective Course, Internet of Things (IoT), and more.
• The comprehensive curriculum of the program lets candidates learn and develop critical thinking skills assisting them to navigate the intricacies of the domain.
• The program is designed to cater to the needs and aspirations of modern-day learners including working professionals and international students who can not attend traditional on-campus courses.
• During the internship programs, candidates can build their network with seasoned industry experts that will ultimately help them in the future for career references.
• During the educational journey, candidates learn the latest market-trending topics of the program which gives candidates one step ahead in the competitive era.
• Several leading industries around the world are in search of skilled data science individuals who can bring more benefits to their organizations.

Comprehensive Curriculum of the Online MCA in Machine Learning (ML) and Artificial Intelligence (AI) Program

Other Demanding Online MCA Specializations

Eligibility Criteria for Online MCA in Machine Learning (ML) and Artificial Intelligence (AI) Program

We have mentioned some of the common prerequisites for the online MCA in the Artificial Intelligence (AI) and Machine Learning (ML) Program:

• Complete undergraduate program in any stream from any recognized university.
• BSc/ BCom/ BA graduates who have studied Mathematics as a core subject are eligible for the application process.
• Working experience is not one of the prerequisites. However, some universities might ask working professionals to submit during the application process for better understanding.

Admission Process of an Online MCA in Machine Learning (ML) and Artificial Intelligence (AI) Program

Before directly jumping into the admission process, candidates should investigate the eligibility criteria of the concerned university for the online MCA in Artificial Intelligence (AI) and Machine Learning (ML) Program and must consider the following steps:

• Visit the official website of the university.
• Register themselves as a new user.
• Fill out the application form.
• Upload relevant documents asked during the registration process.
• Make payment for registration.
• The university will verify the registration and the uploaded documents.
• On verification, the University will send their unique enrollment numbers.
• Enrollment numbers confirm their admissions.
• Now, they have access to a dedicated Learning Management System (LMS).

Career Opportunities after an Online MCA in Machine Learning (ML) and Artificial Intelligence (AI) Program

The online MCA in Artificial Intelligence (AI) and Machine Learning (ML) Program opens up several career opportunities to graduates after the completion of their educational journey. Some of them are mentioned below:

• AI Engineer
• Machine Learning Engineer
• Data Scientist
• AI Research Scientist
• Natural Language Processing (NLP) Engineer
• Computer Vision Engineer
• Robotics Engineer
• AI/Machine Learning Consultant
• Deep Learning Engineer
• AI Software Developer
• Business Intelligence Developer
• AI Project Manager
• AI Ethicist
• AI Product Manager
• AI Solutions Architect
• AI/Machine Learning Trainer
• AI System Analyst
• AI/Machine Learning Analyst
• AI/Machine Learning Operations Manager
• AI/Machine Learning Researcher, and More.