| Program Description |
The Bachelor of Technology (B.Tech) in Data Science is a 4-year undergraduate program that combines core engineering principles with specialized knowledge in data science, artificial intelligence, and machine learning. The program is designed to equip students with the technical and analytical skills required to extract meaningful insights from complex data sets.
Key Highlights:
Core Curriculum: Includes subjects like Data Structures, Algorithms, Statistics, Linear Algebra, Database Management Systems, Big Data Analytics, Machine Learning, and Artificial Intelligence.
Hands-on Learning: Emphasis on practical skills through programming labs, real-time projects, industry case studies, and internships.
Interdisciplinary Approach: Integrates concepts from computer science, mathematics, and statistics.
Industry Relevance: Prepares students for roles in data-driven industries including IT, finance, healthcare, e-commerce, and research.
Career Prospects: Graduates can pursue roles such as Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Developer, or continue with higher studies and research in data science or allied fields.
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| Admission & entry requirements |
Educational Qualification:
Completion of 10+2 or equivalent from a recognized board.
Must have studied Physics, Chemistry, and Mathematics (PCM) as core subjects.
Minimum Marks Required:
A minimum aggregate of 50%–60% in PCM subjects (varies by institution).
Entrance Exams:
Candidates must qualify in relevant engineering entrance exams such as:
JEE Main (for NITs, IIITs, and some private universities)
State-level entrance exams (like EAMCET, KCET, MHT CET, etc.)
University-specific entrance exams (if applicable)
Age Limit:
Generally, candidates should be 17 years or above at the time of admission.
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