Vision

We aim to nurture  Data Science professionals by employing creative and innovative methods to tackle current and future challenges in the rapidly evolving computing landscape.

Mission

• We Expand Students’ knowledge in cutting-edge technologies while emphasizing professional ethics.
• Provide quality education to cultivate a research and entrepreneurial ecosystem, leveraging niche technologies

Program Educational Objectives (PEOs)

A graduate of the CSE (Data Science) Program should:

PEO 1: Position themselves in diverse technical roles by applying fundamental computer science concepts
   to solve real-world challenges, particularly emphasizing data science.

PEO 2: Foster expertise in current aspects of Data Science to equip individuals for careers and advanced studies.

PEO 3: Achieving success in their careers requires blending research and entrepreneurial abilities with strong communication, teamwork, and leadership qualities.

Program Specific Outcomes (PSOs)

A graduate of the CSE (Data Science) Program will:

PSO 1: Develop and test application software for data science applications.

PSO 2: Gain proficiency in computer system architecture to create effective data science tools
and use specialized software for statistical analysis.

Program Outcomes (POs)

PO 1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2: Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 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.

PO 4: Conduct Investigations of Complex Problems: 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.

PO 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.

PO 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.

PO 7: Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of need for sustainable development.

PO 8: Ethics: Apply ethical principles and commit to professional ethics, responsibilities, and norms of the engineering practice.

PO 9: Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society. Some of them are, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO 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.

PO 12: Lifelong Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change

Course Outcomes (CO)

CSE (Data Science) – HOD

Mrs. A Asha Kiran

Mrs A Asha Kiran currently working as a Asst.Professor and Heading the department of CSE(Data Science). She received B.Tech degree from JNTUK Kakinada,M.Tech degree from JNTUK Kakinada.She is having over 08 Years of teaching experience. She is a Life time member of IAENG. She acted as a resource person for various workshops, FDPs and STTPs in various institutions She organized several guest lectures, workshops, FDPs. She was completed several online certification courses.

All the Staff are Ratified by JNTUH

CSE (Data Science)- Labs

Attendance & Monitoring Committee

This committee is headed by head of the Department and is assisted by two Associate Professors. The task of this committee is ensure that the students are regular to the college. For this, the attendance status of every class is taken in the second working hour, the absent student’s parents are communicated, and follow-up action is taken.

Training & Placement Committee

The Training & Placement Committee is an interface between the students and the training and placement office. The database of students is maintained by the committee and during the placement drive, one of the committee member will assist TPO and ensure that all the meritorious students in the departments are taken care of placement.

Committee for Student Performance Evaluation

The task of this committee is to identify students whose performance is below 70 percentile in the first and second internal assessment exams. Once the students are identified, their parents are called for and need based counseling is done for the students in presence of their parents. The main objective of this is to ensure that the average performers are taken proper care of and their performance improved and in the process improving the pass percentage.