B.Tech. Computer Science with Specialisation in Apple and Artificial Intelligence
Empower your future with intelligence integrated everywhere.
The B.Tech. in Computer Science with Specialisation in Apple and Artificial Intelligence prepares students for leadership in the rapidly evolving landscape of intelligent technologies. By integrating strong computer science foundations with Artificial Intelligence, Machine Learning, Intelligent Computing, and Apple technologies, the programme equips students with the knowledge and skills required to drive digital innovation across diverse industries.
The curriculum blends academic rigour with practical experience. Students develop expertise in software engineering, algorithms, cloud computing, data-driven systems, and AI-powered solutions, while gaining hands-on experience with Swift, Xcode, iOS development, Core ML, deep learning, computer vision, natural language processing, and generative AI.
Eligibility
- Candidates must have passed 10+2 (or equivalent) from a recognised board.
- They should have studied Physics and Mathematics as compulsory subjects along with Chemistry, Biotechnology, Biology, or a Technical Vocational subject.
- Minimum Marks Requirement:
- General category: 45% aggregate in the above subjects.
- Reserved categories (SC/ST/OBC/PwD): 40% aggregate.
Program Highlights
Industry-Aligned Curriculum
A future-focused curriculum built to match the changing demands of the global technology landscape, combining core computer science with advancements in Artificial Intelligence and intelligent computing.
Apple Ecosystem and Development Technologies
Gain practical exposure to Apple's development ecosystem, including Swift programming, Xcode, iOS application development, Core ML, and contemporary software engineering practices.
Advanced Artificial Intelligence and Machine Learning
Develop expertise in machine learning, deep learning, computer vision, natural language processing, generative AI, and intelligent systems.
NVIDIA AI Computing Exposure
Gain practical skills in high-performance AI computing environments and accelerated technologies supporting advanced AI application development.
Exclusive IIT Immersion Experience
Benefit from specialised academic sessions and collaborative opportunities introducing emerging research methodologies and technological advancements.
Experiential Learning Framework
Participate in live projects, innovation challenges, product development, and industry-relevant assignments to bridge the gap between theoretical concepts and real-world application.
Industry Mentorship and Professional Networking
Interact with technology professionals, domain specialists, and industry leaders through workshops, guest lectures, mentorship, and collaborative learning.
Research and Innovation Opportunities
Explore interdisciplinary research, new technologies, and innovation-centric activities that develop analytical ability, creativity, and problem-solving.
State-of-the-Art Infrastructure
Utilise state-of-the-art computing labs, AI development resources, innovation centres, and technology-enabled classrooms supporting academic and career progress.
Career Outcome
Artificial Intelligence Engineer
Design intelligent systems for learning, reasoning, and automated decision-making.
Machine Learning Specialist
Develop predictive models and algorithms for intelligent and data-driven applications.
Apple Application Developer
Build applications across Apple platforms using industry-standard development technologies.
Data Scientist
Analyse complex data to generate insights supporting strategic decision-making.
Computer Vision Engineer
Develop visual intelligence systems for recognition, analysis, and automation solutions.
Natural Language Processing Specialist
Create AI-driven language systems for communication, search, and automation.
Software Development Engineer
Design and develop scalable software solutions for diverse technological applications.
AI Research Professional
Advance artificial intelligence through research, experimentation, and innovative technology development.
Technology Entrepreneur
Create technology-driven products and ventures addressing emerging industry opportunities.
Global Technology Leader
Lead innovation initiatives across multinational organisations and technology-driven enterprises.
