Department of
CSE Data Science
Vision
To prepare the next generation practitioners and researcher for data centric world by bringing together interdisciplinary faculty across the globe.
Mission
- To provide Skill Based Education to master the students in Problem solving and analytical skills to enhance their niche expertise in the field Data Science.
- To educate the students with latest technologies to update their knowledge in the field of Data Science.
- To enable students to experience the Content Based Learning with premier quality data science education, research and industrial collaboration.
- To enable students to become leaders in the Industry and Academia Nationally as well as Internationally.
- To guide students in research on Data Science, with the aim of having an ethical impact on society by tackling societal grand challenges.
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 analysed and extracts useful knowledge for business development.
In our department, we not only give emphasis on study but also make students ready for industry with practical exposure in Data Science. The department has a team of highly experienced and motivated faculty members who are in process of tuning the young minds to make them globally competitive.
Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Those who practice data science are called data scientists, and they combine a range of skills to analyse data collected from the web, smart phones, customers, sensors, and other sources.
Programme Education Objectives (PEOs)
- 1
Graduates in CSE (Data Science) can apply the technical knowledge of design and analysis for sustainable societal growth.
- 2
Graduates of CSE (Data Science) can demonstrate excellence in research and innovations for the industrial needs.
- 3
Graduates in CSE (Data Science) can demonstrate good communication skills, dynamic leadership qualities for environmental protection.
- 4
CSE (Data Science) graduates can be pursuing higher studies, taking research blended with ethics and human values.
- 5
CSE (Data Science) graduates will be entrepreneurs thereby switching over from responsive engineering to creative engineering.
Programme Outcomes (POs)
Engineering Knowledge – Apply the knowledge of mathematics, science, engineering fundamentals, and principles of CSE (Data Science) to the solution of complex problems.
Problem Analysis – Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions.
Design/Development of Solutions – Design solutions for complex CSE (Data Science) and design system components or processes that meet specific needs.
Conduct Investigations of Complex problems – Use research-based knowledge and research methods including design of experiments and analysis/interpretation of data.
Modern Tool Usage – Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling.
The Engineer and Society – Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues.
Environment and Sustainability – Understand the impact of professional CSE (Data Science) in societal and environmental contexts.
Ethics – Apply ethical principles and commit to professional ethics and responsibilities.
Individual and Team Work – Function effectively as an individual, and as a member or leader in diverse teams.
Communication – Communicate effectively on complex CSE (Data Science) activities with the engineering community and society at large.
Project Management and Finance – Demonstrate knowledge and understanding of engineering and management principles.
Life Long Learning – Recognize the need for, and have the preparation and ability to engage in independent and life-long learning.
Programme Specific Outcomes (PSOs)
- 1
Professional Skills – The ability to understand, analyze, and develop computer programs in the areas related to system software, multimedia, web design, big data analytics, and networking.
- 2
Problem Solving Skills – Ability to apply standard practices and strategies in software project development using open-ended programming environments.
- 3
Foundation of Mathematical Concepts – Ability to apply mathematical concepts to solve real-world problems using appropriate data structures and suitable algorithms.
Academic Boards
Board of Studies (BOS)
2 Items| Course Name | B.E in Computer Science Engineering (Data Science) ( 4 Years ) |
| Intake | 60 |
| Accreditation | Accredited by AICTE |
| Professional Society Membership | IEEE |
| Professional Activities | Student chapter Seminars, workshops and FDPs are conducted regularly |
Dr. Syed Naimatullah Hussain
Professor & HOD
"Welcome to the Department of CSE (Data Science). Data is the new oil, and our mission is to teach students how to refine it. Our department focuses on the intersection of statistics, computer science, and domain expertise. We prepare our students for high-impact roles in data analytics, machine learning, and artificial intelligence, ensuring they have the technical and ethical foundation to succeed in a data-driven world."
Dr. Syed Naimatullah Hussain
B.E, M.Tech, Ph.D.
Dr. Praveenkumar S. Challagidad
B.Tech, M.Tech, Ph.D.
Mr. Subhakar M
B.E, M.Tech, (Ph.D.)
Mr. Lakshmaiah L
B.Tech, M.Tech, (Ph.D.)
Academic Calendar
Course Files
Data Analytics Lab
Equipped with tools for big data processing and statistical analysis.
Data Visualization Lab
Focused on creating interactive dashboards and communicating data insights.