M. Tech in Artificial Intelligence & Data Science

Overview

The M.Tech in Artificial Intelligence & Data Science program equips students with a strong foundation in machine learning, deep learning, and big data analytics. It offers a blend of theoretical knowledge and practical experience in cutting-edge areas like natural language processing, computer vision, predictive analytics, and AI-driven decision-making. The curriculum is designed to meet industry standards, fostering innovation, problem-solving, and adaptability in the rapidly evolving AI landscape. Graduates are prepared for diverse career opportunities in AI research, data science, business intelligence, and software development.

Student Outcomes

Program Educational Objectives

The PEOs define the long-term goals of the B. Tech in Computer Science program at Siddhartha Academy of Higher Education. They aim to produce graduates with a strong technical foundation, adaptability to emerging technologies, and leadership qualities. The objectives focus on preparing students for successful careers, higher studies, and societal contributions.

POs describe the specific abilities that students should acquire by the end of the program. These include problem-solving, designing efficient computing solutions, applying ethical principles, and teamwork skills. They align with global standards to ensure the overall competency of graduates in the field.

 

COs detail the measurable achievements of students after completing a specific course. They include knowledge and skill acquisition in areas such as algorithms, databases, and programming. These outcomes contribute to achieving the overall program goals.

 

CO-PO mapping establishes the relationship between course outcomes and program outcomes. It ensures that every course contributes effectively to achieving the desired program-level competencies. This alignment aids in the continuous improvement of the curriculum.

 

The PEO-PO survey collects feedback from stakeholders, including students, alumni, and employers, to evaluate how well the program meets its educational objectives. This survey helps in assessing the program’s effectiveness and identifying areas for enhancement.

Syllabus

Student Success stories

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Admissions open 2026-27