B Tech Artificial Intelligence (With Specialisations)

Eligibility: 10+2 with mathematics compulsory & any of the two following subjects — physics / chemistry / computer science / electronics / information technology / biology / informatics practices / biotechnology / technical vocational subject / agriculture / engineering graphics / business studies / entrepreneurship and minimum 60% marks

  • Duration: 4 years
  • Admission Criteria: CUET/NEET/JEE/ SAT or Shoolini University's multiple choice entrance test, and faculty interaction

Eligibility : 10+2 with mathematics compulsory & any of the two following subjects — physics / chemistry / computer science / electronics / information technology / biology / informatics practices / biotechnology / technical vocational subject / agriculture / engineering graphics / business studies / entrepreneurship and minimum 60% marks

  • Duration : 4 years
  • Admission Criteria : CUET/NEET/JEE/ SAT or Shoolini University's multiple choice entrance test, and faculty interaction

BTech Artificial Intelligence (AI) is a 4-year interdisciplinary program at Shoolini University that focuses on equipping students with the knowledge and skills needed to design and develop intelligent systems.

Specialisations

The program combines computer science fundamentals with AI concepts, algorithms, and applications to enable students to contribute to advancing AI technology and its real-world implementations. Students who enrol for BTech AI can visualise and conceive intelligent software with a mind of its own. 

Being one of the best BTech Artificial Intelligence colleges in India, Shoolini University emphasises AI research programs. The cutting-edge Yogananda XR and AI Research Centre on the campus is powered by the latest advancements in virtual reality and AI. This state-of-the-art facility equips students with invaluable skills and expertise, giving them a competitive edge in the job market and furthering the BTech Artificial Intelligence program.

The scope of BTech Artificial Intelligence is vast and at Shoolini, students have the opportunity to explore various fields in machine learning, robotics, neural networks, and more! 

The internationally acclaimed faculty at Shoolini University has diverse expertise and tremendous professional and teaching experience, spanning the breadth of traditional engineering subjects to new interdisciplinary explorations.

Shoolini has dedicated Centres of Excellence for Artificial Intelligence:

The university has collaborations with renowned universities worldwide for student exchange programs, faculty exchange, and more. Prominent among these are, the University of Arkansas, USA; Lanzhou University, China; University of Naples, Italy; Taipei Medical University, Taiwan; Gachon University, South Korea; South Dakota Mines University, USA.

So, get admission in BTech Artificial Intelligence program at Shoolini University, which is UGC Approved and NAAC Accredited.

Key Highlights

  • Specialisation in Python 
  • Collaboration with Ikigai Lab, IIT Kanpur
  • Industry collaboration with Algo8.AI and AADDOO.AI
  • Option for enrollment in certification for a recognized Amazon Web Services (AWS) academy
  • Application-oriented and student-centric learning

 

Research Opportunities

Machine Learning | Deep Learning | Reinforcement Learning | Robotics | Natural Language Processing | Computer Vision | Recommender Systems | Internet of Things | Large Scale Machine Learning | Collaborative Systems | Crowdsourcing and Human Computation | AI based Health Systems | Intelligent Apps   

XR/AI Research Centre

Drives innovation by offering immersive, hands-on experiences with emerging tech.

Collaboration with AWS Academy

Students can pursue industry-recognised AWS Certifications.  

Research Grants

Government agencies such as DST & HIMCOSTE have provided research and infrastructural grants for advanced labs.

B Tech Artificial Intelligence (With Specialisations) Career Opportunities

     

    • Computer Vision Engineer
    • Data Analyst
    • Algorithm Engineer
    • Research Engineer
    • Software Engineer
    • Automation and Optimization Engineer
    • Data Scientist
    • Data Engineer
    • Machine Learning Engineer
    • Computer Scientist
    • Video Game Programmer
    • Principal Data Scientist
    • Big Data Architect
    • Business Intelligence Developer
    • Robotics Programmer
    • Natural Language Processing Scientist

Top Faculty

Student Voices

Shaurya Bahuguna

Kartik Sharma

Kajal Dengta

Kritika

Top Campus Recruiters

Some of the major companies that visit our campus and hire our graduates are:

Frequently Asked Questions

Shoolini University has a blend of senior and young faculty with Doctoral degrees in their respective fields. They have worked in premier institutions/universities in their field and have ample industrial exposure too.  

The interdisciplinary course curriculum for BTech Artificial Intelligence at Shoolini University is based on the recommendations suggested under New Education Policy (NEP-2020). It includes elements like programming, mathematics, CAD, basics of AI and ML, data structures, computer architecture, operating systems, computer networks, neural networks, compiler design, internet technology, algorithm, communications skills and project work, etc.

The field of Artificial Intelligence offers multiple career options to those who have an analytic mind. They can consider career openings like Machine Learning Engineer, Artificial intelligence Engineer, Machine Learning Architect, Data Scientist, Cloud Computing and Data Analyst, to name a few.

Yes, industry collaboration with Algo8.AI and Aaddoo.AI is also available which makes the students' future-ready for the evolving AI industry.

Shoolini University has an active placement cell which has provided 100% placement support. Students who have completed BTech Artificial Intelligence during the past years have been placed in big industrial houses like Genpact, LG, Citrix, Smartdata, Polaris and Tata Hitachi.

Students who enrol for BTech Artificial Intelligence (Research) get the unique opportunity to collaborate with Ikigai Lab, IIT Kanpur and sharpen their data analytic skills. Students from this course who have a particular interest in cloud computing can also enrol for certification in the recognized Amazon Web Services (AWS) academy, the process of which has been facilitated by the University.

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