Online MCA in ML and AI is a 2-year degree program that allows students of Online MCA to select Machine Learning (ML) and Artificial Intelligence (AI) as dual specialisation in the course that supports graduates to develop skills and knowledge of programming languages, deep learning and computer vision.
The curriculum of Online MCA in ML and AI generally includes 4 semesters and is based on a digital learning management system (LMS) and online learning platforms. The curriculum of Online MCA in ML and AI includes foundational computer science, Deep learning, natural language processing, computer vision and so on. The Online MCA in ML and AI degree program provides hands-on expertise and industry-relevant skills through the interactive learning process, including live interactive sessions, access to webinars and networking events, recorded video content and online proctored examinations. Individuals who have completed a Bachelor’s degree in a relevant field like computer applications and computer science, mathematics as a core subject in 10+2 grade, with a minimum of 50% accumulated marks, are eligible for Online MCA in ML and AI.
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The syllabus of an online MCA in ML and AI is based on industry relevant and updated curriculum that focuses on providing career specific skills among students to achieve desired career advancement opportunities. The syllabus of this program includes data structures, algorithms, software engineering, machine learning, deep learning architectures, neural networks and many more.
Course Name | Online MCA in ML & AI |
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Course Duration | 2 Years |
Course Level | Post-Graduation |
Mode of Education | Online |
Eligibility Criteria | The bachelor's degree from a recognized university with 45-50% accumulated marks |
Admission Process | Online |
Semester Wise Subjects Details |
Semester I
Semester II
Semester III
Semester IV
|
Online MCA in ML & AI Programme Fee Range | ₹ 1 Lakh - 2.5 Lakh |
Starting Salary Range | ₹ 3.6 LPA - 12 LPA |
Potential students of online MCA in ML and AI should complete a bachelor's degree. Students should have a minimum of 45-50% accumulated marks in the bachelor's degree The bachelor's degree should be acquired from a well-affiliated and accredited college or university in India Students should have Mathematics as a core subject in the 10+2 standard or at graduation Students need to provide proof of English proficiency to become eligible for the course Few online MCA in ML and AI colleges may require students to clear a university-specific entrance exam
Usually, the candidates of online MCA in ML and AI degree programs need to crack a University specific entrance exam and acquire high scores (mandate by university or college). However, some of the commonly accepted entrance exams for online MCA in ML and AI are NIMCET (NIT MCA Common Entrance Test), CUET PG (Common University Entrance Test - PG) and MAH MCA CET (Maharashtra MCA Common Entrance Test).
A broad career scope is available for online MCA in ML and AI graduates in several emerging Industries, including Healthcare, Finance, technology and e-commerce. The career opportunities available for online MCA in ML and AI graduates are AI Engineer, AI Consultant, ML Engineer, Data Scientist, Robotics Engineer, AI Product Manager, Business Intelligence Analyst, AI entrepreneur and many more.
The salary of an online MCA graduate in machine learning and artificial intelligence depends on their skills exteriors and type of organisation that generally ranges between Rs 6 to Rs 12 lakh per annum for entry level positions.
Job Profile | Job Description (Responsibility) | Average Salary (INR) |
Software Developer | Develop and maintain software applications, write clean and efficient code, and collaborate with other developers. | ₹6,00,000 - ₹9,00,000 |
Data Scientist | Analyze and interpret complex data to help companies make data-driven decisions, build predictive models, and work with machine learning algorithms. | ₹8,00,000 - ₹12,00,000 |
Cybersecurity Analyst | Protect an organization’s IT infrastructure by identifying vulnerabilities, monitoring security systems, and responding to incidents. | ₹7,00,000 - ₹11,00,000 |
Blockchain Developer | Develop and implement blockchain-based applications, work with distributed ledger technologies, and design smart contracts. | ₹8,00,000 - ₹12,00,000 |
DevOps Engineer | Automate and streamline software development processes, implement CI/CD pipelines, and work on infrastructure management. | ₹9,00,000 - ₹13,00,000 |
Internet of Things (IoT) Engineer | Design, develop, and implement IoT systems and devices, work on data collection, and ensure security of connected devices. | ₹8,00,000 - ₹12,00,000 |
Company |
Tata Consultancy Services (TCS) |
Infosys |
Wipro |
HCL Technologies |
Tech Mahindra |
IBM India |
Accenture |
Capgemini |
Samsung R&D |
Airtel Digital |
The admission process of an online MCA in ML and AI dual specialisation degree program in Indian University generally include registration on official website of preferred University, filling out application form, clearing an entrance exam, uploading necessary documents, making required payments, waiting for confirmation and upon confirmation receiving credentials for LMS activation.
Neev Education helps students of online MCA in ML and AI throughout the admission process, from sending notifications of admission window to seat confirmation. Neev provides necessary information and details of suitable colleges of online MCA colleges in ML and AI that help students to make well-informed decisions about selecting the colleges and program. Neev also offers access to several online learning resources and provides access to tuition sessions.
Login to the admission portal by using your credentials shared on registered email id or you can directly login by entering an OTP received on the registered mobile number.
The next step is filling out all the details in the application form such as personal details, educational qualification and other details as required by the University.
Upload all the scanned documents, including high school, intermediate, and Graduation Mark sheets along with the Aadhar card and ABC (Academic Bank Credits) ID.
To finish the application, submit the academic fees online through debit, credit card, Net banking, UPI or you may also opt for a finance option. Interest-free Loan options are also available in which you can pay your fees in easy EMIs.
The University will then verify your documents and send you a confirmation mail regarding your admission, along with the login credentials to access your learning management system (LMS).
Several companies in diverse IT sectors offer placement opportunities for online MCA graduates with machine learning and artificial intelligence as specialisation, with good salary prospects in areas like Data Science, Cyber Security and Machine Learning. Top placement companies for online MCA graduates in ML and AI are Amazon, Google, Infosys, Wipro, etc.
University | Average Package (INR) |
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Amity University | ₹12,00,000 - ₹20,00,000 |
Manipal University Jaipur | ₹10,00,000 - ₹18,00,000 |
Chandigarh University | ₹8,00,000 - ₹14,00,000 |
Lovely Professional University | ₹9,00,000 - ₹16,00,000 |
Manav Rachna University | ₹8,00,000 - ₹15,00,000 |
Yes, UGC affiliated and NAAC accredited online MCA in ML and AI colleges in India such as Amity University and IGNOU offer comprehensive career counselling services among students.
The key advantages of completing an MCA in ML and AI through an online medium include flexibility, affordability, accessibility, faster career progression, networking opportunities and placement support.
Yes, deep learning is a part of the Online MCA in ML and AI course curriculum and teaches about mathematical foundations, programming languages, machine learning principles, etc.
The scope of careers related to Artificial Intelligence and Machine Learning in India and abroad is promising and continuously growing, with the increasing demand for AI and ML experts in global markets.
Yes, students get complete support and guidance from experienced and well-educated faculty members while pursuing MCA in machine learning and AI
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