B.Sc AI & ML:
The Artificial Intelligence and Machine Learning programme focuses on building intelligent systems that can learn from data, recognize patterns, and make decisions. Students gain strong knowledge in programming, machine learning algorithms, and AI applications through practical and theoretical learning.

AI and ML are widely used in industries such as healthcare, banking, robotics, e-commerce, and smart systems. The course prepares students to adapt to rapidly evolving technologies and industry demands.

M.Sc Data Analytics:
The Data Analytics programme helps students understand how to collect, process, and analyze data to generate meaningful insights. Students learn data handling, visualization, and analytical tools used in real-world decision-making across industries.

• Experienced faculty in AI, ML, and Data Science
• Advanced laboratories with modern tools
• Industry-relevant curriculum
• Hands-on learning with projects and case studies
• Internship opportunities in AI-based companies
• Strong placement support
• Research and innovation opportunities
• Industry exposure through workshops and guest lectures
• Future-ready and high-demand career field

Core Learning Areas:

• Artificial Intelligence & Machine Learning fundamentals
• Mathematical foundations (statistics, probability, algebra)
• Python programming and AI tools
• Data preprocessing and feature engineering
• Machine learning techniques (supervised, unsupervised, reinforcement)
• Deep learning (CNN, RNN, neural networks)
• NLP, computer vision, recommendation systems
• Model evaluation and deployment
• Generative AI concepts
• Ethical and responsible AI

Data Analytics Learning:

• Data collection and cleaning
• Data visualization and reporting
• Analytical thinking and business insights
• Working with large datasets

• Industry-integrated AI modules
• Deep learning and NLP specializations
• Generative AI and Large Language Models (LLMs)
• AI in healthcare, finance, and retail
• Research projects and capstone work
• Hackathons, ideathons, and datathons
• Entrepreneurship and startup support
• AI-driven cybersecurity exposure

AIML VAC:

• Generative AI & Prompt Engineering
• Full Stack Development
• Microsoft Certification in Python
• Tableau & Power BI

Data Analytics VAC:

• Python for Data Analytics
• Data Visualization (Power BI / Tableau)
• Excel for Business Analytics
• AWS & Big Data Tools

Duration: 30 Hours

Software Testing Certification:

• Software Testing Fundamentals
• AI/ML for Testing
• Data Analytics for Test Engineers
• DevOps & CI/CD

Job Roles:

• AI Engineer
• Machine Learning Engineer
• Data Scientist
• AI Analyst
• Software Developer (AI-based)
• Automation Engineer
• Business Intelligence Analyst
• Data Analyst / Business Analyst

Industries:

• IT & Software
• Healthcare
• Banking & Finance
• E-commerce
• Robotics & Automation
• Education & Smart Systems

Higher Studies:

• M.Tech / M.Sc in AI, ML, Data Science
• Robotics & Advanced Computing
• Ph.D and research opportunities

• Students interested in coding and technology
• Logical and analytical thinkers
• Students passionate about AI, data science, and innovation
• Learners interested in research and emerging technologies
• Those who enjoy solving real-world problems

• Advanced computing systems for AI/ML
• Python-based programming environment
• Data analytics and machine learning labs
• Smart classrooms with digital tools
• Facilities for workshops, seminars, and hackathons
• High-speed internet and networking

• Internship support in AI and data analytics domains
• Industry visits and real-world projects
• Guest lectures by industry experts
• Placement training (technical + aptitude + soft skills)
• Resume building and mock interviews
• Collaboration with IT companies and startups
• Participation in hackathons and coding competitions

• Future-ready and industry-driven curriculum
• Strong project-based learning approach
• Interdisciplinary exposure
• Certification and skill enhancement programs
• Focus on innovation, research, and entrepreneurship