Shobhit Online MCA in AI & Machine Learning
Course Overview
The Online MCA in AI & Machine Learning from Shobhit University is tailored for future-focused tech professionals aiming to build intelligent systems, predictive models, and data-driven applications. This advanced program combines computing fundamentals with deep learning, natural language processing (NLP), computer vision, and MLOps practices. The curriculum is designed to empower learners to solve real-world problems across domains like healthcare, finance, robotics, and smart automation.
Accreditations
UGC-DEB Approved
Global Recognition
NAAC A+
AICTE Approved
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- UGC-Recognized, NAAC-Accredited MCA: Recognized for employment and higher studies nationally and globally.
- AI-Driven Curriculum: Includes neural networks, supervised & unsupervised learning, NLP, reinforcement learning, and computer vision.
- Real-Time Projects: Work on predictive analytics, chatbots, recommendation systems, and deep learning use cases.
- Tool & Tech Exposure: Gain hands-on experience with Python, TensorFlow, Keras, PyTorch, Scikit-learn, and OpenCV.
- Placement Support: Mock interviews, resume building, and recruiter access via Course Connect and Shobhit University.
- 100% Online Learning: Attend sessions live or via recordings with complete schedule flexibility.
- Capstone Projects & Hackathons: Apply theoretical knowledge to real-world challenges.
- Affordable Education: EMI and scholarship options available for eligible learners.
Course Benefits
Build Next-Gen AI Applications
Develop intelligent models, speech & image recognition systems, and automation tools.
Master ML Algorithms & Frameworks
Learn supervised, unsupervised, and reinforcement learning using industry-standard tools.
Work on Real Projects & Datasets
Gain hands-on experience with projects in fraud detection, recommendation engines, and diagnostics.
Boost Your Career in Tech
Access high-demand roles in AI/ML, data science, robotics, and product engineering.
Course Fees
The fee structure for this online MBA in Finance and Accounting is designed to be affordable and flexible for both freshers and working professionals
Total 4 semester
INR 31,250 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 1,25,000
*Inclusive of all taxes
EMI starting at
INR 5,208 / Month
*Terms & Conditions apply
Eligibility
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Educational Qualification:
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i. Must have passed BCA or a Bachelor’s Degree in Computer Science/Engineering or
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ii. Hold a B.Sc./B.Com./B.A. degree with Mathematics at the 10+2 level or graduation level.
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Minimum Marks: A minimum of 50% marks in the qualifying examination (45% for reserved categories) is required.
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Final-Year Students: Final-year graduation students may apply, provided they meet the eligibility criteria after their results are declared.
Course Syllabus
Semester 1
Operating Systems
Database Management System
Analysis and Design of Algorithms
Intelligent Systems
Software Engineering
DBMS Lab.
Operating System Lab.
Semester 2
Data Warehousing and Data Mining
Linux and X – Windows Programming
Java Programming and Website Design
Computer Networks
Application based Programming in Python
Introduction to Deep Leaning
Semester 3
Object Oriented Software Engineering
Distributed Operating System
Advanced DBMS
Fuzzy Logic and Neural Network
Digital Image Processing
Object Oriented System Design Lab.
Universal Human Values and Professional Ethics
Project II
Semester 4
Dissertation
Seminar and Progress Reports
Top Recruiters
Top recruiters for this course include Google, Amazon, Accenture, and Deloitte. Companies like Infosys and Tata Consultancy Services provide strong opportunities in tech and management roles.
Explore Other Specializations from Shobhit University
No other specialization available.
Additional specializations from Shobhit University will appear here once they are available.
FAQs
How does Course Connect support students during the MCA in AI & Machine Learning?
Course Connect provides end-to-end guidance—from application to graduation—including mentorship, doubt-clearing sessions, expert webinars, and career mapping based on your learning goals.
Can I apply for the MCA AI & ML program through Course Connect?
Yes. You can apply directly via Course Connect’s portal with assistance on eligibility, documentation, EMI plans, and fast-track processing.
Does Course Connect offer placement support for this MCA program?
Definitely. Course Connect connects you to hiring partners, shares job leads, and helps you prepare through resume reviews, mock interviews, and career coaching.
What kind of companies hire MCA AI & ML graduates through Course Connect?
Recruiters include MNCs, product companies, and AI startups such as Infosys, TCS, Amazon, Fractal Analytics, and early-stage ventures in data science and AI automation.
Is the AI & ML specialization at Shobhit University aligned with industry trends?
Yes. The curriculum covers in-demand AI fields such as NLP, computer vision, deep learning, and model deployment strategies, mapped to current job market expectations.
What tools and frameworks will I learn during the program?
You’ll gain hands-on experience with Python, TensorFlow, PyTorch, Keras, OpenCV, NumPy, Pandas, Scikit-learn, and cloud-based AI tools.
Is research and innovation encouraged in this program?
Absolutely. Final-year capstones, project-based learning, and optional research assignments allow students to explore innovation in real-world AI applications.
Can I pursue this course while working full-time?
Yes. The program is designed for flexibility. You can attend weekend live sessions or learn through recorded classes on your own schedule.
Do I need a programming background to succeed in this course?
A tech background helps, but the course starts with Python and foundational machine learning, making it beginner-friendly for motivated learners
Is the degree valid for employment in India and abroad?
Yes. It’s UGC-approved and NAAC-accredited, making it valid for jobs, higher education, and global opportunities.