About the Department
Data Science is an interdisciplinary field that combines statistics, computer science, machine learning, and domain expertise to extract meaningful insights from structured and unstructured data.
The B.Tech. CSE (Data Science) program is a cutting-edge specialization, started in the academic year 2021–2022. The department's curriculum is designed to meet the evolving demands of the data-driven industry, covering advanced topics in big data analytics, predictive modeling, and data visualization.The department is equipped with state-of-the-art infrastructure and modern laboratories that provide hands-on experience with industry-standard tools and technologies. All laboratories maintain a 1:1 student-to-equipment ratio, ensuring optimal learning conditions.
Vision & Mission
Vision
"To create a center of excellence in Data Science education that produces skilled professionals capable of solving complex real-world problems through data-driven decision making."
Mission
- Provide comprehensive education in data science fundamentals, analytics, and visualization techniques.
- Foster innovation through industry collaborations and research in emerging areas of data science.
- Develop ethical data scientists with strong analytical skills and leadership qualities for lifelong learning.
Program Assessment Committee (PAC)
| SNO | Name | Designation | Address |
|---|---|---|---|
| 1 | Dr P Mallikarjuna Reddy | Chairman | Principal |
| 2 | Dr. G Rajesh Chandra | Convener | HOD, CSE Department |
| 3 | Dr. U Vidhya Sagar | Member | Senior Faculty, CSE Department |
| 4 | Dr. K Govardhan Reddy | Member | Senior Faculty, G Pulla Reddy Engineering College, Kurnool |
| 5 | Mr. Rajesh Kumar | Member | Data Science Lead, Accenture, Bangalore |
Program Outcomes (POs), PEOs & PSOs
Program Outcomes (POs)
| PO No | Graduate Attribute | PO Statement |
|---|---|---|
| 1 | Engineering Knowledge | Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex Engineering problems. |
| 2 | Problem Analysis | Identify, formulate, review research literature, and analyze Complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. |
| 3 | Design/Development of Solutions | Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations. |
| 4 | Conduct Investigations of Complex Problems | Ability to review research literature, use research methods to execute project and synthesize the problem to provide valid conclusions. |
| 5 | Modern Tool Usage | Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations. |
| 6 | The Engineer and Society | Apply reasoning informed by the contextual Knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice. |
| 7 | Environment and Sustainability | Understand the impact of the professional engineering solutions in societal and environmental contexts, and Demonstrate the knowledge of, and need for sustainable development. |
| 8 | Ethics | Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. |
| 9 | Individual and team work | Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. |
| 10 | Communication | Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. |
| 11 | Project Management and Finance | Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. |
| 12 | Life-long Learning | Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. |
Program Educational Objectives (PEOs)
| PEO No | Statement |
|---|---|
| PEO1 | Graduates will be capable of adapting to new technologies and systems, making contributions, and innovating in the key domains of data science. |
| PEO2 | Graduates will be ethically and socially responsible solution providers and entrepreneurs in the field of Computer Science and Engineering with Data Science Specialization. |
| PEO3 | Graduates will be able to successfully pursue higher education in Data Science Specialization. |
Program Specific Outcomes (PSOs)
| PSO No | Statement |
|---|---|
| PSO1 | Build skills to develop software applications in specialized areas of Data Science and Machine Learning. |
| PSO2 | Apply the various Data Science and ML techniques for industrial applications in the areas of Deep Learning, Cloud Computing, Natural Language Processing, and emerging areas. |
Board of Studies (BoS)
| S.No | Name | Designation |
|---|---|---|
| 1 | Dr. G Rajesh Chandra | BOS Chairman |
| 2 | Dr. U Vidhya Sagar | University Nominee |
| 3 | Dr. Srinivas Reddy | Academic Expert |
| 4 | Mr. Rajesh Kumar | Industry Expert |
Programs Offered
B.Tech (CSE) - Data Science
Intake: 60 seats
Academic Regulations: R21, R23, R24
HOD's Message
"As the head of the Data Science department, I am proud to witness the remarkable growth and achievements of our faculty and students. In this era of big data, our department is committed to nurturing data scientists who can transform raw data into actionable insights that drive innovation and business success."
CSE (Data Science) Labs
The Department consists of well-equipped laboratories with high-speed internet connectivity. These labs provide hands-on experience with modern data science tools, big data platforms, and analytics software.
Data Analytics Lab-1
40 High-Performance Workstations
Data Analytics Lab-2
40 High-Performance Workstations
Big Data Lab
Hadoop & Spark Cluster Setup
Curriculum Labs:
Research Publications
AY (2023-2024)
- Dr. G RAJESH CHANDRA, "PREDICTIVE ANALYTICS FOR CUSTOMER CHURN USING MACHINE LEARNING", International Journal of Data Science, Vol 15 Issue 02, 2024.
- Dr. U VIDHYA SAGAR, "BIG DATA PROCESSING WITH APACHE SPARK: A COMPREHENSIVE STUDY", Journal of Big Data Analytics, Volume 10, Issue 3, March 2024.
- Mr. N MALLIKARJUNA REDDY, "SENTIMENT ANALYSIS OF SOCIAL MEDIA DATA USING DEEP LEARNING", IEEE Transactions on Data Science, April 2024.
AY (2022-2023)
- Mrs. K MANIKYAMMA, "DATA VISUALIZATION TECHNIQUES FOR BUSINESS INTELLIGENCE", Journal of Visual Analytics, Jan 2023.
- Dr. G RAJESH CHANDRA, "REAL-TIME FRAUD DETECTION USING STREAMING DATA ANALYTICS", International Conference on Data Science, June 2023.
NPTEL Achievements
Mentors List
Mentoring Overview
Each mentor is assigned with 15 students. Students are mentored at regular intervals twice in a semester. Parents are informed about attendance and marks via SMS.
10
Mentors15
Students/Mentor2/Sem
Frequency| Year | Mentor Name | Roll Numbers | Count |
|---|---|---|---|
| III-CSE(DS) | Dr. U VIDHYA SAGAR | 21AM1A3201-21AM1A3215 | 15 |
| II-CSE(DS) | Mr. N MALLIKARJUNA REDDY | 22AM1A3201-22AM1A3215 | 15 |
| I-CSE(DS) | Mrs. K MANIKYAMMA | 23AM1A3201-23AM1A3215 | 15 |