Artificial Intelligence & Data Science

B.Tech. Program in Artificial Intelligence and Data Science (AI & DS)

The B.Tech. in Artificial Intelligence and Data Science is an undergraduate engineering program designed to equip students with a strong foundation in artificial intelligence, data science, and associated technologies. The program integrates concepts from computer science, mathematics, and statistics to enable students to solve real-world problems using advanced data-driven methodologies.

 
 

Program Highlights

1. Core Focus:
  • Development of intelligent systems using AI techniques such as machine learning, deep learning, and natural language processing.
  • Extraction, analysis, and interpretation of large volumes of data to derive meaningful insights and predictions.
 
2. Curriculum Overview:
  • Foundational Courses: Programming, Data Structures, Probability, and Linear Algebra.
  • Core AI Topics: Machine Learning, Neural Networks, Computer Vision, and Reinforcement Learning.
  • Core Data Science Topics: Big Data Analytics, Data Mining, and Statistical Modeling.
  • Applications: AI in Healthcare, Finance, Smart Cities, and Robotics.
  • Tools & Technologies: Hands-on experience with tools like Python, TensorFlow, R, Apache Spark, and cloud-based platforms.
3. Interdisciplinary Approach:
The program blends computer science with domains like economics, biology, and linguistics to solve cross-disciplinary challenges.
 
4. Capstone Projects and Hackathons:
Students engage in industry-relevant projects and participate in competitions to build practical skills.
 
5. Career Readiness:
  • Strong emphasis on problem-solving, teamwork, and communication skills.
  • Internships and industry collaborations to enhance employability.

Career Opportunities

Graduates of AI & DS can pursue roles in:

AI/ML Engineer: Develop AI models and algorithms.
Data Scientist: Analyze complex datasets for actionable insights.
Big Data Engineer: Build scalable systems for processing large data.
Business Intelligence Analyst: Design data-driven strategies for businesses.
Research Scientist: Contribute to academic and industrial AI innovations.
 

Future Scope

The demand for AI and Data Science professionals is growing rapidly across industries such as IT, healthcare, finance, e-commerce, and entertainment. With advancements in technologies like generative AI, quantum computing, and autonomous systems, this program prepares students to lead the next wave of innovation.

Faculty:

S. No. Department Name of the Faculty Designation Qualification Signature
1 CSE Dr SSN Anjaneyulu Assoc.Prof Ph. D
2 CSE Shabana Khanum Asst Professor M.Tech
3 CSE Dr Riaz Shaik Assoc Prof Ph. D
4 CSE P Firoze Asst Professor M.Tech
5 CSE S Kiran Babu Asst Professor M.Tech
7 CSE P Srinivas Asst Professor M.Tech
8 CSE P Naresh Kumar Asst Professor M.Tech
9 CSE V Roshan Kumar Asst Professor M.Tech
10 CSE M Krishna Reddy Asst Professor M.Tech
11 CSE P Lakshman Rao Asst Professor M.Tech
12 CSE V Baby Vasanthi Asst Professor M.Tech
13 CSE Bade Gopinadh Asst Professor M.Tech
14 CSE Veraboina Somaiah Asst Professor M.Tech
15 CSE P Sai Bharathi Asst Professor M.Tech
16 CSE G Sasikala Asst Professor M.Tech
17 CSE G Lakshmi Swathi Asst Professor M.Tech
18 CSE Velaga Silpa Chowdary Asst Professor M.Tech
19 CSE Velaga Praneeth Asst Professor M.Tech
20 CSE Kathi Anitha Asst Professor M.Tech
21 CSE G Sarath Asst Professor M.Tech
22 AI &ML Dr E Uma Shankar Rao Asst Professor M.Tech
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