Department of Computer Science and Engineering
(Data Science)
The Department is experiencing dynamic growth and new opportunities,
driven by technological advancements and a commitment to excellence.
Course Overview
This program builds expertise in data analysis, interpretation, and decision-making. Students gain hands-on experience working with complex datasets, applying analytical techniques, and driving innovation in data-driven industries.
Our Vision
To be top in the field of computer science and engineering, building competence through student centric learning for self-employment, research, industry and society needs
Our Mission
To create a learning environment to transform the students with strong fundamentals in computer science, analytical, programming and problem solving skills.
To provide exposure to students to latest tools & technologies in the area of computer science and engineering
To create a platform for Research, exhibiting leadership qualities, professionally ethical citizens through affinity activities and self governance
Program Educational
Objectives (PEOs)
Excel in Computer Science & Engineering by applying principles of science, mathematics, and engineering problem-solving skills.
Develop expertise in analyzing, designing, and testing system software and applications while conveying technical knowledge effectively.
Build a successful career in industry through leadership, teamwork, communication, and lifelong learning with ethical and social responsibility.
Program Specific
Outcome Statements (PSOs)
Strong mathematical foundation. Apply mathematical techniques to solve problems through appropriate analysis, data structures, and algorithms.
Core understanding of computer systems. Interpret fundamental concepts and methodologies, grasping both hardware and software functionalities effectively.
Expertise in software development. Understand life cycles, methodologies, and design processes, gaining proficiency in programming and research innovation.
Program Outcomes
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
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.
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Setting the highest ethical standards for self and others in everything we do. Our actions, behaviors and conduct must always generate trust and confidence in our stakeholders.
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.
Understand the impact of the professional engineering solutions insocietal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
Demonstrate knowledge and understanding of the engineering and management principles and apply them to one’s work as a member and a leader of a team, in managing projects in a multidisciplinary environment.
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.
Our Faculty
Our Faculty
Dr. S. Arvind
Professor and Dean Academics
Mr. M. Rajeshwar
HOD & Associate Professor
M V A Naidu
Associate Professor
Mr. Bhaskar Das
Associate Professor
Jeevan Babu
Professor
Nikita
Assistant Professor
P Swathy
Assistant Professor
P. Ramana
Assistant Professor
C Surekha
Assistant Professor
Siripurapu Ramakumari
Assistant Professor
Nethani Shiva Kumar
Assistant Professor
Mr. Vadla Navakishore
Assistant Professor
Labs
| Name of the lab | Location & Carpet area | List of equipment | Total cost of the lab |
|---|---|---|---|
| ups -1 | |||
| S09 | 132 sq (11X12) | SYSTEMS -60 | Rs. 13,15,100/- |
| T17 | 100 sq (10X10) | SYSTEMS -60 | Rs. 9,45,375/- |
| ups -1 | |||
| client systems-30 | |||
| Server-1 | |||
| T19 | 132 sq (11X12) | SYSTEMS -30 | Rs. 6,28,300/- |
| ups-1 | |||
| h/w kit-1 | |||
| client systems-30 | |||
| server-1 |