Sharda University

Sharda University

Greater Noida , Uttar Pradesh
|
4.1 Ratings
|
Private|Estd. 2009|NIRF #101 (Engineering) 2025|NAAC Grade A+

Written By Sneha Ramchandani

Updated on – 13 Oct, 2025

B. Tech in CSE - Artificial Intelligence & Machine Learning at Sharda University

The B. Tech in Computer Science and Engineering with a specialization in Artificial Intelligence & Machine Learning (AI & ML) at Sharda University is designed to equip students with the foundational knowledge and practical skills required to build intelligent systems. This specialization focuses on algorithms, neural networks, and data science techniques to create innovative solutions in areas like robotics, automation, and predictive analytics. Students will work on cutting-edge projects, ensuring they are industry-ready for the future.

ParameterDetails
Course Duration4 Years
Specialization FocusArtificial Intelligence & Machine Learning
Key Areas CoveredMachine Learning Algorithms, Data Science, Neural Networks, Deep Learning, NLP
Career OpportunitiesAI/ML Engineer, Data Scientist, Robotics Engineer, AI Researcher

B. Tech in CSE (AIML) Fees Structure

YearFee (INR)
1st Year2,80,000
2nd Year2,88,400
3rd Year2,97,052
4th Year3,05,964
Total11,71,416

Eligibility for B. Tech in CSE (AIML) Program

ParameterDetails
Educational Qualification10+2 with PCM/PCB (Minimum 60%)
Required SubjectsPhysics, Chemistry, and Mathematics (PCM) or Physics, Chemistry, and Biology (PCB)

Application Process at Sharda University 

StepsDetails
Step 1Visit the official website of Sharda University
Step 2Register and fill in the application form
Step 3Appear for SUAT or provide JEE-Mains rank
Step 4Qualify for the personal interview if required
Step 5Complete the admission formalities upon selection

Why choose Sharda University?

  1. In-depth AI & ML curriculum, taught by experienced industry professionals.
  2. Opportunities for hands-on learning through projects, internships, and real-time AI challenges.
  3. Strong research focus, preparing students for cutting-edge roles in AI and ML.
  4. Partnerships with leading tech companies for industry exposure and placements.
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