These are two areas that are now changing industries and are currently considered the most popular career path to follow. Because of the organisation’s use of AI-enabled insights, there is an increasing need to train professionals in these domains. This blog summarises the complete guide regarding B.Tech in AI and Data Science, AI courses after the 12th class, and fee structure.
What is B.Tech in AI and Data Science?
The Bachelor of Technology (B.Tech) in Artificial Intelligence and Data Science is a four-year undergraduate programme created to prepare students with the abilities required to develop AI models and examine cumbersome datasets. The course mixes advanced machine learning techniques, handling big data topics combined with computational intelligence skills so as to prepare students for industrial challenges.
Course Objectives:
Students need to establish a solid knowledge of AI principles and data analytical methods.
Students should gain expertise in programming and learn statistical modelling together with neural networks.
Develop graduate students to resolve actual AI applications and big data challenges.
Foster knowledge in AI ethics and responsible machine learning practices.
Eligibility Criteria for B.Tech in AI and Data Science
Students need to fulfil specific eligibility conditions to apply for a B.Tech in AI and Data Science:
Educational Qualification:
Candidates must finish their secondary education in which Physics, Chemistry and Mathematics are essential subjects.
Each educational institution has an entrance requirement ranging from 50% to 60% aggregate score.
Entrance Examinations:
To join top educational institutions, students must pass exams like JEE Advanced, JEE Main, and the different state entrance tests for engineering.
These educational institutions manage the admission exams for private colleges.
Age Limit:
The general age limit for applying is 17 years at admission.
B.Tech in AI and Data Science Fee Structure
The b tech in AI and data science fee varies across institutions.
Government Colleges: INR 50,000 - INR 2,00,000 per annum
Private Colleges: INR 2,00,000 - INR 8,00,000 per annum
Top Institutes (IITs, NITs, IIITs): INR 1,00,000 - INR 3,00,000 per annum
Scholarships and financial aid options are available in many institutions based on merit and need.
Syllabus and Course Structure
The B.Tech AI and Data Science curriculum spans eight semesters during which it delivers theoretical and practical instructions for AI and data science technologies.
Core Topics:
Fundamentals of Artificial Intelligence
Machine Learning and Deep Learning
Data Structures and Algorithms
Big Data Analytics
Natural Language Processing (NLP)
Neural Networks and Fuzzy Systems
Cloud Computing and IoT
Robotics and Automation
AI Courses After 12th
Students who want to avoid full-time B.Tech enrollment can select various AI courses after 12th. AI courses exist at diploma programmes and specialised certification levels after the 12th-grade completion.
Diploma and Certificate Courses:
Diploma in AI and Machine Learning with the duration: 6 months to 1 year
Students who finished their initial degree in a different area can obtain a Post Graduate Diploma in Data Science and AI to pursue AI later.
Online Certifications in AI from platforms like Coursera, Udemy, edX, and Google AI.
Degree Courses Other Than B.Tech:
B.Sc. in AI and Data Science: A three-year alternative to B.Tech.
Students who want to create software using AI applications should consider the BCA programme with AI & Data Science Specialisation.
Career Opportunities After B.Tech in AI and Data Science
AI and Data Science programme graduates have vast career opportunities, with AI-driven solutions being implemented across industries.
Fields of Employment:
IT and Software Companies: AI development and automation solutions.
Healthcare: AI-driven diagnostics and predictive analytics.
Finance: Risk analysis, fraud detection, and AI-based trading systems.
E-commerce: AI recommendation engines and customer insights.
Research Institutions: AI research and innovation in academia.
Future Scope of AI and Data Science
With continuous advancements in AI and machine learning, the future of AI professionals is bright. Some emerging trends include:
AI in Healthcare: Predictive analytics and AI-driven diagnostics.
Autonomous Systems: AI-powered robotics and self-driving cars.
Edge AI: AI processing at the device level for real-time analytics.
AI in Cybersecurity: Threat detection and risk analysis using AI.
Quantum AI: The fusion of quantum computing with AI for high-speed computation.
To Wrap it Up!
Students who like both technology and analytics and have problem-solving abilities should choose the B.Tech in AI and Data Science degree. Professional prospects and research opportunities exist steadily since the AI field continues to expand its industrial applications. Students need to review eligibility requirements and fee structures before enrollment because it helps them select a suitable institution. Students pursuing full degrees or alternate AI courses after the 12th grade will encounter numerous promising career chances in AI and data science.
