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Course Overview

The B. Tech. Computer Science & Engineering program with a specialization in Artificial Intelligence & Machine Learning is designed to equip students with a deep understanding of computer science principles along with specialized knowledge in AI and ML technologies. This program offers a comprehensive curriculum that blends theoretical knowledge with practical skills to prepare students for careers in cutting-edge fields such as data science, machine learning engineering, AI research, and more.

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High-Quality Education, Experienced Faculty, Research Opportunities, Strong Career Support

Eligibility, Fee Details & Syllabus

Total Fee of B.Tech. Computer Science Engineering (4 Years) -  11,12,000 30% University Scholarship available for all aspirants
Particulars 1st 2nd 3rd 4th 5th 6th 7th 8th
Admission Fee* 5,000  
Acad/Tuition Fee 127,112 127,113 127,112 127,113 127,112 127,113 127,112 127,113
Other Fees 5,000 5,000 5,000 5,000 5,000 5,000 5,000 5,000
Development Fee 1,500 1,500 1,500 1,500 1,500 1,500 1,500 1,500
Enrollment Fee 2,000  
University Exam Fee 3,000 3,000 3,000 3,000 3,000 3,000 3,000 3,000
Annual Cultural Programme Fee 1,000   1,000   1,000   1,000  
Degree and Migration Fee   2,000  
Alumni Fee   1,100
Security Deposit* 5,000  
Total 1,49,612 1,36,613 1,37,612 1,36,613 1,37,612 1,36,613 1,39,612 1,37,713

 

Total Fee of B.Tech. Computer Science Engineering (4 Years) -  12,32,000 (After Special Concession) 30% University Scholarship available for all aspirants
Particulars 1st 2nd 3rd 4th 5th 6th 7th 8th
Admission Fee* 5,000  
Acad/Tuition Fee 1,69,483 1,69,484 1,69,483 1,69,484 1,69,483 1,69,484 1,69,483 1,69,484
Other Fees 5,000 5,000 5,000 5,000 5,000 5,000 5,000 5,000
Development Fee 1,500 1,500 1,500 1,500 1,500 1,500 1,500 1,500
Enrollment Fee 2,000  
University Exam Fee 3,000 3,000 3,000 3,000 3,000 3,000 3,000 3,000
Annual Cultural Programme Fee 1,000   1,000   1,000   1,000  
Degree and Migration Fee   2,000  
Alumni Fee   1,100
Security Deposit* 5,000  
Special Concession (27,371) (27,371) (27,371) (27,371) (27,371) (27,371) (27,371) (27,371)
Total 1,64,612 1,51,613 1,52,612 1,51,613 1,52,612 1,51,613 1,54,612 1,52,713

 

Course Name

B.Tech. Computer Science Engineering

Course Duration

4 Years

Eligibility

Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the subjects- Chemistry / Biotechnology / Biology
Obtained at least 45% marks (40% in case of candidate belonging to reserved category) in the above subjects taken together.

Admission Process

On the basis of Entrance Exam /Merit

Uniform Fee Extra

  • Fee structure subject to revision from time to time.
  • The Institute without any prejudice reserves the right to change or delete any information without any prior information.

Schedule of Depositing the Fee:

  • 1st Installment at the time of Admission.
  • 2nd, 4th, 6th and 8th Installment (as applicable) - Last Date Payment: 15th January each academic year.
  • 3rd, 5th and 7th Installment (as applicable) - Last Date Payment: 15th July each academic year.
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Why Choose Our Education Program?

  • Access to Expert Faculty Learn under the guidance of highly qualified and experienced educators who bring real-world insights and research into the classroom, helping you build a strong academic foundation.
  • Hands-on Teaching Practice Gain real school experience through internships, teaching simulations, and micro-teaching exercises, preparing you for real-world classroom challenges with confidence.
  • Modern Learning Resources Benefit from digital classrooms, a well-stocked education library, and teaching-learning materials that support innovative and interactive pedagogy.
  • Career Guidance & Support Receive personalized mentoring and career counselling, helping you choose the right career path in teaching, research, or administration.
  • Recognition & Professional Growth Stand out with a degree from a reputable institution known for producing successful teachers, researchers, and education leaders nationwide.

Job Opportunities

With a B.Tech CSE (AI & ML) degree, graduates have diverse career paths to explore. Here are some top job opportunities :

  • Machine Learning Engineer: Designing, implementing, and optimizing machine learning models and algorithms. Developing solutions for data-driven decision-making and predictive analytics.
  • Data Scientist: Analyzing large datasets to extract meaningful insights and trends.Building predictive models and data-driven solutions to solve business problems.
  • AI Researcher: Conducting research in artificial intelligence to advance the field. Developing new algorithms, methodologies, and techniques to improve AI systems.
  • Natural Language Processing Engineer: Building systems capable of understanding and generating human language. Developing chatbots, virtual assistants, and language translation tools. 
  • Computer Vision Engineer: Developing algorithms and systems for analyzing and interpreting visual data. Building applications such as image recognition, object detection, and video understanding.
  • AI Consultant: Providing expertise and guidance to businesses on integrating AI technologies. Advising on AI strategy, implementation, and best practices.
  • Software Developer specializing in AI/ML: Developing software applications and systems with integrated AI and ML capabilities. Implementing AI algorithms into existing software solutions.
  • Data Analyst: Collecting, processing, and analyzing data to derive actionable insights. Visualizing data and communicating findings to stakeholders.
  • Robotics Engineer: Designing and developing robotic systems and autonomous agents. Implementing AI and ML techniques for robot perception, navigation, and manipulation.
  • Autonomous Systems Engineer: Building autonomous vehicles, drones, and other robotic systems. Developing algorithms for navigation, obstacle avoidance, and decision-making.

These career paths offer diverse opportunities in industries such as technology, healthcare, finance, e-commerce, automotive, manufacturing, and more. Graduates may find employment in various sectors including software development companies, research institutions, government agencies, consulting firms, and startups specializing in AI and ML technologies. Additionally, there are opportunities for entrepreneurship and innovation in developing AI-powered products and services.

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