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Department of Computational Studies / B.Sc. Artificial Intelligence and Machine Learning
The Bachelor of Science in Artificial Intelligence and Machine Learning (AI/ML) at Kristu Jayanti is a four-year honours degree designed to prepare students for the rapidly advancing world of intelligent technologies and data-driven innovation. The programme blends strong foundations in computer science, mathematics, and statistics with advanced training in machine learning, deep learning, natural language processing, computer vision, and data analytics.
Through academic alliances with Celonis, Qlik, and UiPath Agentic Automation, students gain exposure to real-world AI models, automation frameworks, and data intelligence tools, enhancing their technical proficiency, analytical capability, and industry readiness. The curriculum emphasises hands-on learning through projects, case studies, and simulations that develop analytical thinking, model-building, and problem-solving abilities essential for AI-driven environments. After successful completion of four years, students are awarded an Honours degree; they may exit after three years with a Bachelor’s degree.
Core computer science, statistics and mathematics with specialised training in deep learning, natural language processing, computer vision and data intelligence.
Academic alliances with Celonis, Qlik and UiPath Agentic Automation for real-world AI models and enterprise automation tools.
Four-year Honours degree with the option to exit after three years with a Bachelor’s degree.
Graduates are equipped for roles such as AI Engineer, Machine Learning Developer, Data Scientist, Research Analyst, AI Consultant, Automation Engineer, and Product Developer across IT, finance, healthcare, robotics, and global research laboratories.
A four-year Honours B.Sc. preparing students for the rapidly advancing world of intelligent technologies and data-driven innovation.
Programme: Bachelor of Science (B.Sc.) – Artificial Intelligence and Machine Learning
Duration: 4 Years Honours (optional exit after 3 years with Bachelor’s degree)
Mode: Full-Time Undergraduate Programme
Academic Focus: Computer science, mathematics, statistics; deep learning, natural language processing, computer vision and data intelligence
Industry Partners: Celonis, Qlik, UiPath Agentic Automation
Pathway: AI engineer, machine learning developer, data scientist, research analyst, AI consultant, and automation engineer roles
Review the mandatory academic qualifications and minimum score criteria required for admission.
Candidates who have completed Higher Secondary (10+2/PUC) or equivalent in Science with Mathematics, or Commerce with Core Mathematics under CBSE/ISC/International Board, with a minimum of 40% marks, are eligible; candidates with Business Mathematics under CBSE/ISC/International Board Commerce are not eligible.
Looking for a programme that matches your interests?
Find Programmes by InterestOutcome-based learning that empowers innovators capable of designing intelligent systems shaping the future of digital transformation.
Strong foundations in computer science, programming, discrete mathematics, linear algebra and probability statistics.
Specialised proficiency in machine learning algorithms, deep neural network architectures and predictive modeling.
Advanced training in natural language processing, text intelligence, computer vision and image classification.
Hands-on experience with Celonis, Qlik, and UiPath Agentic Automation tools with real-world enterprise models.
Experiential project-based learning and simulations developing model-building and analytical problem-solving skills.
Preparation for advanced AI careers across global industries and strong foundation for higher studies and certifications.
Intelligent technologies and data-driven innovation are transforming every sector from IT and finance to healthcare and autonomous systems. Professionals who can build and deploy intelligent models are in high demand.
B.Sc. Artificial Intelligence and Machine Learning at Kristu Jayanti combines computer science, mathematics, and statistics with machine learning, NLP, computer vision, and automation frameworks supported by Celonis, Qlik, and UiPath alliances.
Choosing this programme enables students to:
With practical, project-driven and industry-aligned training, graduates are prepared to innovate and design intelligent systems, with ample scope for higher studies and professional certifications.