CSE – Data Science

CSE – Data Science

Data Science is the study of data. It is about extracting, analyzing, visualizing, managing and storing data to create Valuable insights. These insights help the companies to make the powerful data-driven decisions. It is an inter-driven decisions. It is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data.

Owing to the fast growing for Data Science in the field of technology and to bridge the gap between industry and academia, AICTE has been pursuing colleges to introduce this course for the benefit of students with high quality faculty. The department of CSE is well prepared to provide the best learning experience for students who enrol in this course.

Vision of the Department

VISION

To produce and expand the capability of Data Science Graduates through Value-Based Education and make them industry ready.


MISSION

M1: To provide highest quality of Teaching, Research and Learning Opportunities.
M2: To collaborate with the Industries and Research Institutions to instill the spirit of Innovation and Problem Solving Skills.


HOD's Message


Dr. S.V. Pavan Kumar
M.Tech, Ph.D
HOD

Welcome to the Department of Computer Science and Engineering (Data Science) at Siddhartha Institute of Engineering & Technology. The Department presently offers a Four Year B.Tech., Degree program in Computer Science & Engineering with specializations in Data Science from the academic year 2020-21. The department has highly qualified and fully experienced faculty members who are in process of fine-tuning the young minds to make them globally competitive. The strength of the department is highly motivated students who understand the dynamics of the industry and upgrading their skills according to the industry needs. Data Science is concerned with the extraction of knowledge from structured and unstructured data using scientific procedures, processes, and techniques derived from several domains such as statistics, cognitive science, computing, and information science. Data Science is an interdisciplinary course which combines wide areas of statistics, analytics, visualization of data and Knowledge Extraction. In today’s technical world where data is growing exponentially, data science ensures that the huge incoming data is properly handled, efficiently investigated and extracts useful knowledge for business development. This course helps students to build mathematical and engineering skills required to advance their career as a Data Scientist or Data Engineer. In our department, we not only give emphasis on study but also make students ready for industry with practical exposure in Data Science. Through innovative teaching-learning process, a teamwork approach and leadership building experience, our students gain vital communication and critical-thinking skills. Our institution provides a platform for the students to enhance their Employability skills through Industry Institute Collaboration.


Laboratories & Infrastructure

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PEO, PSO, PO

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

PEO1: Establish themselves in a variety of technical roles by solving real-world issues with the use of core computer science topics, with a focus on data science.
PEO2: Develop professional skills in contemporary areas of Data Science which will prepare them for employment and higher education.
PEO3: To succeed in their profession, they must combine research and entrepreneurial skills with rich set of communication, teamwork, and leadership skills.


PROGRAMME SPECIFIC OUTCOMES (PSOs)

PSO1: Understand and Analyze Data Science principles, including Machine Learning, Cloud Computing, Internet of Things, and Data Analytics, to solve contemporary problems in Computer Science.
PSO2: To Apply Data Science skills learned through internships and collaborative projects with industry to function as an ethical software engineer/researcher in the evolving discipline of Computer Science.
PSO3: Implement Artificial Intelligence and Data Science Techniques to solve ream time problems in the area of Agriculture, Health Care and Environment.


Faculty Details

Photo Name Qualification JNTUH Reg. ID Designation Teaching Experience Date of Joining
Dr.S. VEKATA PAVAN KUMAR M.Tech,Ph.D 2545-150419-134756 Associate Professor & HOD 14 Years 02-02-2011
Dr.THADE LAKSHMIDEVI M.Tech,Ph.D 1650-150413-133959 Associate Professor 12 Years 02-02-2011
Mr. TENNETI JANARDANA RAO M.Tech 2699-150418-110601 Assistant Professor 20 Years 21-12-2016
Mrs.S. NAGA LAXMI M.Tech, (Ph.D) 1561-160130-125813 Assistant Professor 15 Years 08-09-2020
Mrs.SAKSHI SHUKLA M.Tech, (Ph.D) 4744-230410-153547 Assistant Professor 6 Years 21-11-2022
Mrs.NAIDU SUDEEPTHI M.Tech 8577-210702-100246 Assistant Professor 11 Years 08-09-2020
Mr. BASHEERUDDIN SD A M.Tech 9321-160311-163716 Assistant Professor 6 Years 21-12-2016
Mr. M.CHANDRASHEKHAR REDDY M.Tech 7119-220224-142113 Assistant Professor 6 Years 21-12-2016
Mr.PANKAJ PANDEY M.Tech 9378-230411-114031 Assistant Professor 6 Years 17-03-2021
Mr.B.LAXMINARAYANA VARA PRASAD M.Tech 3796-221213-184348 Assistant Professor 3 Years 24-05-2023