B.Tech in Artificial Intelligence and Data Science
Introduction to the Course
KMCT Institute of Emerging Technology and Management offers B.Tech in Artificial Intelligence and Data Science as an all-around curriculum, which prepares students for the ever-evolving, dynamic demands of a data-driven future. The programme builds a strong foundation in programming, mathematics, and ethical AI practices. This integrates key principles from artificial intelligence, machine learning, and data science, offering students an extensive hands-on experience used to develop intelligent systems, analyze complex data sets, and build predictive models. The programme offers exposure to students in advanced areas such as deep learning, natural language processing, and data visualization, which transforms them into well-equipped graduates, ready to tackle the real-world challenges and pursue impactful and rewarding careers across technology, research, and innovation sectors.
Overview of the Curriculum
This interdisciplinary programme integrates core computer science knowledge with advanced AI techniques and data analytics skills.
Core Subjects
Python Programming
The course introduces students to the foundations of programming through Python, which focuses on writing efficient code, automating tasks, and solving real-world problems at the click of a button.
Linear Algebra & Probability
The curriculum helps build the mathematical backbone for AI, which enables students to understand data patterns, model uncertainty, and develop intelligent algorithms.
Data Structures
The programme covers the organization and management of data using structures like arrays, lists, and trees, which helps in optimizing computation and storage.
Database Management Systems
The programme trains students to design, implement, and manage databases in order to efficiently store, retrieve, and manipulate large volumes of structured data.
AI & Data Science Specializations
This interdisciplinary programme integrates core computer science knowledge with advanced AI techniques and data analytics skills.
Machine Learning & Deep Learning
The course explores algorithms that learn from data and make predictions, equipping students with the understanding of how simple models transform to complex neural networks used in AI.
Big Data Analytics
The curriculum trains students to handle massive datasets using scalable tools and techniques, which helps attain meaningful insights and strategic decision-making.
Natural Language Processing -
The programme focuses on enabling machines to understand and generate human language, powering chatbots, voice assistants, and translation systems.
Database Management Systems
The programme trains students to design, implement, and manage databases in order to efficiently store, retrieve, and manipulate large volumes of structured data.
Data Mining
The students are equipped with skills to extract hidden patterns and trends from large datasets for informed forecasting and analysis.
Cloud Computing with AI
The course seamlessly combines cloud-based infrastructure with AI tools to build scalable, accessible, and intelligent solutions for modern business challenges.
Additional Highlights
Capstone Project & Research Work
The course provides hands-on experience in solving real-world problems through research, innovation, and end-to-end AI or data science projects.
Industry-oriented Labs and Case Studies
The programme also seamlessly bridges the gap between theory and practice with practical labs and case studies, which are modelled on industry use-cases and current technological trends.
Collaboration with Leading Tech Firms
The curriculum offers exposure to industry practices, internships, and potential career opportunities through active partnerships with top tech companies and industry experts.
Career Opportunities After the Course
Graduates from this programme are in high demand across multiple industries.
Career roles include:
Data Scientist
The graduates are equipped with the knowledge to utilize statistical methods, machine learning, and data analysis. This helps in extracting insights from complex datasets, aiding organizations in making informed decisions across various sectors.
Machine Learning Engineer
The students will be able to design and implement machine learning models and algorithms. This will enable systems to learn and adapt without explicit programming, applicable in areas like recommendation systems and autonomous vehicles.
AI Researcher
As an AI researcher, students will be able to conduct advanced research to develop innovative AI algorithms and models. This will contribute to the advancement of artificial intelligence technologies and their applications in real-world scenarios.
Data Analyst
The graduates are trained to collect, process, and analyse data to identify trends and patterns, providing actionable insights that tend to support business strategies and operational improvements.
Business Intelligence Developer
The students will be able to develop and maintain BI solutions, including data models and dashboards. This is used to transform raw data into meaningful information to support strategic business decisions.
Software Engineer (AI-focused)
The course equips students to integrate AI and machine learning techniques into software applications, which enhances functionality and user experience through exceptionally intelligent features and automation.
Industries: Healthcare, Finance, E-commerce, Smart Manufacturing, Government, and Education.
Eligibility Criteria
Admission Process
FAQs
No prior coding experience is mandatory. The curriculum begins with foundational programming and builds up to advanced AI.
Yes, students will handle live data projects and use AI tools deployed in industries today.
Admissions Open
Passionate about solving real-world problems with AI? Apply now for the B.Tech in Artificial Intelligence and Data Science at KMCT and unlock a future in intelligent technology.
