computer-ai4 Years (8 Semesters)TNEA Cutoff: 182.0 – 198.5
Artificial Intelligence and Data Science (AI & DS)
AI & Data Science combines statistical modeling, computational mathematics, machine learning, neural networks, and big data engineering to analyze complex patterns and automate decision-making.
Who Should Consider This Course?
- Students fascinated by AI applications like ChatGPT, self-driving cars, and computer vision
- Strong interest in probability, statistics, and mathematics
- Curious about deriving insights from massive datasets
Who May Not Enjoy This Course?
- Students who dislike heavy mathematics, statistics, and iterative model tuning
Core Curriculum & Subjects Studied
1Foundations of Data Science & Linear Algebra
2Machine Learning & Deep Learning
3Natural Language Processing (NLP)
4Computer Vision & Pattern Recognition
5Big Data Analytics (Hadoop / Spark)
6Ethics in Artificial Intelligence
Potential Career Roles
AI EngineerData ScientistMachine Learning ResearcherBusiness Intelligence AnalystBig Data Engineer
Key Hiring Industries
AI Research LabsHealthcare & GenomicsAutonomous VehiclesFinance & Algorithmic Trading
Global Scope & Washington Accord Recognition
International Accreditation Standard:Washington Accord / ABET Accredited
Top Global Markets & Research Hubs:
USAGermanyUnited KingdomSwitzerlandCanadaSingapore
Global Mobility:
Exponential global demand across Silicon Valley, European research labs, and Asian tech hubs.
Higher Studies Pathways
M.S. in Machine Learning & RoboticsM.Tech in Data EngineeringPh.D. in Artificial Intelligence
Admission Routes & Eligibility
Class 12 Eligibility: Physics, Chemistry, and Mathematics (PCM) in HSC
TNEA Single-Window CounsellingJEE MainAutonomous College Entrance
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