Sharda University Greater Noida : Latest Fees, Courses, Admissions, 2025 Cutoffs, Reviews

Table of Contents

• Quick Snapshot
• About the MCA in Artificial Intelligence and Machine Learning at Sharda School of Engineering and Technology
• Key Highlights 2024
• Fees & Cost Details
• Eligibility & Admission Process 2024
• Entrance Exams & Cutoffs
• Curriculum & Academic Structure
• Placements & Career Prospects
• How This Course Compares with Similar Colleges
• MCA in Artificial Intelligence and Machine Learning FAQs 2024

Quick Snapshot

• College: Sharda School of Engineering and Technology, Greater Noida, Uttar Pradesh
• Course / Specialisation: MCA in Artificial Intelligence and Machine Learning
• Duration & Level: 2 years, Postgraduate Degree
• Total Tuition Fee: ?3.35 Lakh
• Average / Median Package: ?3.84 LPA (Median, source: college data)
• Admission Mode: Entrance + Merit (CUET-PG, SUAT)

About the MCA in Artificial Intelligence and Machine Learning at Sharda School of Engineering and Technology

The MCA in Artificial Intelligence and Machine Learning at Sharda School of Engineering and Technology is designed to train postgraduate students with advanced knowledge and practical skills in this high-demand domain. The program focuses on building expertise in machine learning, AI techniques, and related tools crucial for today’s tech industry.

• Emphasis on practical exposure through projects and internships
• Industry-oriented curriculum aligned to current AI/ML trends
• Suitable for tech graduates aiming for specialized roles in IT, research, and development

Key Highlights 2024

Sharda School of Engineering and Technology offers a focused MCA in AI & ML with modern infrastructure and active placement support.

• Duration: 2 years
• Level: Postgraduate
• Course Mode: Full Time
• Total Fees: ?3.35 Lakh (tuition only)
• Entrance Exams Accepted: CUET-PG, SUAT
• Specialisation Strengths: Practical training, industry-relevant curriculum, project-based learning
• 2024 Placement Trend: Median Package ?3.84 LPA, Highest Package ?1.00 Crore (college-level; source: campus data)
• Private university with modern labs and AI/ML resources

Fees & Cost Details

Understanding fee break-up helps in planning finances and comparing options.

Latest values may differ; confirm with college for updates.

Eligibility & Admission Process 2024

Prospective students should fulfill certain academic requirements and pass relevant entrance exams.

• Graduation: Minimum 50% marks
• Specific Degrees: BCA/B.Sc. Mathematics/IT/CS
• Mathematics must be studied at graduation or Class 12 level
• Accepted Exams: CUET-PG, SUAT

Admission Steps:

1. Check eligibility and prerequisites (Graduation with 50% + Mathematics)
2. Apply for CUET-PG or SUAT entrance exam
3. Register online through the official website
4. Appear for the entrance test
5. Clear internal selection (including possible interview/verification)

If you're unsure about eligibility or exam selection, speak to a counsellor to avoid missing better options.

Entrance Exams & Cutoffs

Selection is through national or university-level entrance exams.

• Accepted Exams:
  • CUET-PG
  • SUAT
• Cutoff trends: Not officially disclosed

Curriculum & Academic Structure

The curriculum is structured for deep understanding of AI/ML concepts, tools, and their real-world applications.

• Core Subjects: Artificial Intelligence, Machine Learning, Data Structures, Algorithms, Python Programming
• Electives: AI specialisation modules, Deep Learning, Data Analytics
• Practical Training: Projects, Lab work, Internships
• Specialisation-specific Topics: Neural Networks, Natural Language Processing, Computer Vision

Placements & Career Prospects

The AI & ML MCA at Sharda School of Engineering and Technology prepares graduates for advanced IT careers, ensuring strong placement records.

Only overall college placement data is available.

Compare with similar colleges or speak to an advisor for better ROI clarity.

How This Course Compares with Similar Colleges

MCA in Artificial Intelligence and Machine Learning programs are available at several comparable institutions. Below is an indicative comparison of tuition fees.