BE Artificial Intelligence and Data Science

About This Course

B.E. in Artificial Intelligence and Data Science is a 4-year undergraduate engineering program that combines computer science, statistics, and mathematics to teach students how to create intelligent systems and analyze vast datasets. It focuses on machine learning, deep learning, data visualization, and predictive modeling for real-world applications.Key Aspects of the Program:Core Focus: Designing, developing, and deploying intelligent systems and AI-driven solutions.Interdisciplinary Skills: Combines statistics, computer science, and domain expertise to solve complex problems.Technical Curriculum: Covers Python programming, data analytics, neural networks, Natural Language Processing (NLP), and big data technologies.Career Scope: Graduates can work as AI Engineers, Data Scientists, Machine Learning Specialists, or Data Analysts in sectors like healthcare, finance, and tech.Core Curriculum Components:AI and Machine Learning: Algorithms, neural networks, and pattern recognition.Data Analytics: Data mining, big data processing, and statistical modeling.Programming: High proficiency in Python and related frameworks.Applications: Fraud detection, recommendation systems, and automation tools.Career Opportunities & SalaryThe demand for AI skills is high, with roles appearing frequently in top industry lists. As of 2026, freshers can expect a monthly salary range between ₹45,000 – ₹80,000, with salaries significantly increasing with experience.

What You'll Learn

Machine Learning (ML): Building algorithms that improve with experience for predictive modeling and automated decisions.Deep Learning & AI: Utilizing neural networks to mimic human intelligence, speech recognition, and computer vision.Data Science & Analytics: Processing and interpreting large datasets to find patterns using statistics and probability.Programming Tools: Proficiency in Python, R, SQL, and libraries like TensorFlow, PyTorch, and pandas.Data Visualization: Presenting complex data insights using tools like Tableau or Power BI to stakeholders.Data Engineering: Understanding data wrangling, security, privacy, and big data techniques.

Career Opportunities

[Machine Learning Engineer]: Designs and builds AI systems and algorithms to automate predictive models.[Data Scientist]: Interprets complex datasets to extract insights, using statistical methods, Python/R, and predictive modeling.[AI/ML Data Scientist / Engineer]: Focuses on AI/ML models, GenAI/LLMs, and data-driven decisions.[Data Engineer / Architect]: Builds large-scale data processing systems and manages data lakehouses.[NLP Specialist/Engineer]: Develops language-based AI tools, including chatbots and sentiment analysis systems.[Computer Vision Engineer]: Applies AI to interpret visual data from images and videos.[AI Product Manager]: Bridges the gap between technical teams and business strategy to deploy AI products.[Big Data Analyst]: Analyzes large, complex datasets for actionable business insights.

Course Overview Video

Colleges Offering This Course

Mahendra Educational Institutions

Salem

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Course Details

TypeUG

Duration4 Years

Eligibility12th Pass

CategoryEngineering

Approx Fees75000 to 150000

Colleges1

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