Artificial Intelligence & Data Science
Build intelligent systems, unlock the power of data, and shape the future of technology with the Artificial Intelligence & Data Science specialization under B.Tech Computer Science & Engineering at Indira University.
Study Mode
Full-Time
Duration
4 Years (8 Semesters)
Location
Overview
The Artificial Intelligence & Data Science specialization is designed for students who aspire to develop intelligent technologies that can learn, adapt, predict, and solve complex real-world challenges. Integrated within the B.Tech Computer Science & Engineering program, this specialization combines strong computing foundations with advanced concepts in artificial intelligence, machine learning, deep learning, predictive analytics, and data-driven decision-making.
Students build expertise in data engineering, machine learning, deep learning, advanced statistics, predictive analytics, and emerging AI technologies through a blend of theoretical learning, practical implementation, and project-based experiences. The curriculum emphasizes data modelling, intelligent systems design, algorithm development, and responsible AI practices, enabling learners to work with large-scale datasets and create impactful technology solutions.
Through hands-on laboratories, innovation projects, research initiatives, industry-focused assignments, and specialized courses such as Machine Learning, Deep Learning, Human-AI Interaction, AI Security & Responsible Technology, and Emerging Trends in AI & Data Science, students gain practical experience in developing next-generation intelligent applications.
Graduates are well-prepared for careers as AI Engineers, Machine Learning Engineers, Data Scientists, Data Engineers, Business Intelligence Analysts, AI Researchers, and Technology Consultants. The specialization also provides a strong foundation for higher studies, research, innovation, and entrepreneurial ventures in the rapidly expanding field of artificial intelligence.
Key Topics
- Artificial Intelligence & Machine Learning
- Advanced Statistics for AI & Data Science
- Machine Learning & Predictive Analytics
- Human-AI Interaction
- AI Security & Responsible Technology
- Data Warehousing & Data Mining
- Big Data Analytics
- Emerging Trends in AI & Data Science
- Cloud Computing Essentials
- DevOps & Intelligent Systems
Our Engineering Legacy
The School of Engineering at Indira University is built upon the strong academic foundation and educational excellence of the Indira Group of Institutes. Drawing upon decades of experience in delivering quality higher education, the School of Engineering is committed to nurturing future-ready professionals equipped with technical expertise, innovation-driven thinking, and industry-relevant skills.
With a curriculum aligned to emerging technologies, experiential learning opportunities, industry engagement, innovation-focused pedagogy, and a commitment to research and entrepreneurship, the School of Engineering prepares students to thrive in the dynamic global technology ecosystem. Students benefit from a multidisciplinary learning environment that encourages creativity, problem-solving, leadership, and lifelong learning, empowering them to become the innovators and technology leaders of tomorrow.
Why Choose School of Engineering at Indira University
The career opportunities for the students of Artificial Intelligence & Data Science include:
Artificial Intelligence Engineer
Machine Learning Engineer
Data Scientist
Data Engineer
Deep Learning Engineer
Business Intelligence Analyst
AI Research Associate
Data Analyst
Computer Vision Engineer
Generative AI Engineer
NLP (Natural Language Processing) Engineer
Predictive Analytics Specialist
Big Data Engineer
Cloud & AI Solutions Engineer
Intelligent Automation Engineer
MLOps Engineer
AI Product Analyst
Technology Consultant
Research Scientist (AI & Data Science)
AI Entrepreneur
Passed 10+2 (HSC) with Physics, Chemistry & Mathematics (PCM) or Physics, Chemistry & Biology (PCB)
AND
Minimum 45% aggregate in qualifying examination (40% for reserved categories)
AND
Valid score in MHT-CET / JEE Main / SAT / IUCET
