Shoolini Online MCA in ML and AI

Pay-After-Placement NAAC A+ Accredited

4.2

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Ranking

#69th in University Category

What is Shoolini Online MCA in AI and ML?

Shoolini University provides an Online MCA in Artificial Intelligence and Machine Learning, which is for students who wish to establish career paths in new-age technology. The MCA Online program in AI and Machine Learning helps students understand how AI and ML are transforming industries and enables them to become competent professionals in this discipline.The Online MCA in AI & ML combines computer science education with advanced learning techniques, including data processing, algorithms, and intelligent systems. Students learn both theory and practical uses of AI and ML through the MCA course and become skilled enough to face real-world challenges.Learning this MCA from Shoolini University also involves flexible online learning with strong academic guidance. The Online MCA course in AI and ML is perfect for working professionals and graduates who wish to advance in technology-oriented professions and secure a promising future.

Shoolini Online MCA Fee 2026

Total Tuition Fee

₹ 1,50,000/-

Semester-Wise Fee

₹ 30,000/-

NOTE: This fee is applicable for the Pay after Placement option, and the fee may differ for the General MCA.

Shoolini University Approvals

Shoolini University Online is approved and accepted by top statutory authorities. Shoolini University's online MCA in AI & Machine Learning is valued throughout India and accepted by all employers, confirming that your qualification is reliable and respected.

NIRF Ranked

QS Recognized

UGC-entitled

NAAC Accredited

AICTE Approved

ARIIA Ranked

Shoolini University Rankings

Rated 'A+' by NAAC.

Ranked among the top 200 universities in the world as per The Impact Rankings 2024.

Achieved 2nd rank in India by THE World University Rankings 2024 in Engineering.

Achieved 69th rank by the NIRF in university category.

Rated Diamond by QS I-Gauge.

Other Specializations

Shoolini Online MCA in Data Science

Shoolini Online MCA in Full Stack Development

Shoolini Online MCA in AI & Machine Learning: Eligibility Criteria

Educational Qualification

To be eligible for the online MCA at Shoolini, you must pass 10+2+3 with Mathematics from a recognised institution.

Grades

Shoolini Online University requires a minimum of 50% marks in your bachelor’s.

Work Experience

No Work Experience is required to apply for the Online MCA course from Shoolini University.

Note: The students who did not have Mathematics in 12th or at the undergraduate level will have to study a computer-related bridge course as part of the curriculum.

Curriculum: Online MCA in Artificial Intelligence & Machine Learning

Shoolini Online MCA Sample Certificate

The Online MCA degree at Shoolini is entitled by UGC and is universally recognised.

Shoolini Online Degrees are accepted by top employers worldwide.

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Online MCA in Artificial Intelligence & Machine Learning: Skills

The Online MCA in AI & Machine Learning is aimed at providing you with technical and practical expertise in artificial intelligence and machine learning. Every skill is directly related to real-world applications.

Skills You Will Gain

Build machine learning models.
Work with deep learning and neural networks.
Analyse data for meaningful insights.
Handle natural language processing tasks.
Integrate AI solutions with cloud platforms.
Apply AI techniques to real-world problems.

Examination Pattern: Shoolini’s Online MCA

The Shoolini University examination process for Online MCA in AI & ML is a transparent and secure process with completely online, proctored tests. Students are evaluated through internal as well as external tests, which help in monitoring progress and enhancing learning outcomes efficiently.

30%

Internal Examination

The Continuous Evaluation System involves internal evaluations through learning aspects such as assignments, quizzes, and other academic work distributed throughout the semester.

70%

External Examination

Proctored external exams are held at the end of every semester. These examinations test your overall comprehension of the course material.

Financial Aid: Shoolini Online MCA

Shoolini University Online offers flexible payment terms and offers various scholarships to support students of the MCA in the AI & ML course. Students can avail a zero-cost EMI facility to pay fees in convenient instalments. A 5–10% discount is applicable to students who pay the fee with the one-time payment option. A special PAP (Pay After Placement) scheme is also provided by the university, under which students are required to pay 70% during the course and 30% after placement. The students who are not going in for PAP are entitled to a 20% concession on the entire course fee, making higher education both affordable and accessible for all.

Placement Partners at Shoolini Online University

The Online MCA in Artificial Intelligence & Machine Learning from Shoolini University offers exclusive placement assistance to students. As a result of its strong recruiter connections, students can connect with recruiter companies and take advantage of career opportunities in their desired field.

Adani

KPMG

HUL

ICICI Bank

Accenture

Deloitte

Frequently Asked Questions

Yes, the Online MCA in Artificial Intelligence & Machine Learning from Shoolini University is recognised across India, making your degree valid for jobs and further studies.

program? Examinations for Shoolini’s Online MCA in AI & ML program are fully online, proctored, and include internal and external assessments for transparent evaluation.

Yes, students pursuing the MCA in AI & ML can apply for flexible scholarships, no-cost EMI options, and even Pay After Placement schemes.

Shoolini University provides placement assistance, soft skill development, interview practice, and recruiter referrals to assist MCA in AI & ML graduates in securing the best jobs

Yes, the Online MCA in AI & ML is flexible in nature, allowing working professionals to continue their careers while advancing their knowledge and skills through learning.

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