The Department of Artificial Intelligence & Data Science offers a JNTUK-affiliated, four-year B.Tech program in Artificial Intelligence & Data Science with an annual intake of 240 students. The curriculum is built around an analytics-first, industry-aligned philosophy — combining mathematics, statistics, computing, and modern AI with hands-on projects in data engineering, machine learning, deep learning, and business intelligence.
The Program Educational Objectives describe the career and professional outcomes our B.Tech AI & Data Science graduates are expected to achieve within a few years of graduation. They anchor curriculum design to industry needs in AI, data engineering, and applied analytics.
Program Outcomes capture the knowledge, skills, and attributes that students will acquire by graduation, aligned with national accreditation standards for engineering programs in AI & Data Science.
Program Specific Outcomes capture the specialized competencies of B.Tech AI & Data Science graduates, focused on data engineering, applied analytics, and modern AI techniques.
The Data Engineering track equips students to design, build and operate scalable data platforms — ingesting, transforming and serving petabyte-scale data for analytics and AI.
The Applied Analytics track focuses on statistical learning, predictive modelling and decision science to turn data into measurable business and societal outcomes.
The Deep Learning track exposes students to modern neural architectures for vision, language and generative AI — implemented on GPU clusters with industry-standard frameworks.
The Business Intelligence track blends storytelling, dashboards and decision support — preparing students for BI Analyst and Data Analyst roles in enterprise data teams.
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