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Computer Science and Engineering (Data Science)

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Computer Science and Engineering (DS)

Computer Science and Engineering (DS)

The Department of Computer Science and Engineering (Data Science) is a forward-looking academic unit of the College of Engineering. Established in 2020 with an intake capacity of 90 students, the department is designed to equip students with a robust foundation in computer science, along with specialized expertise in data analysis, statistics, machine learning, and big data technologies. With a dynamic faculty team and state-of-the-art labs, the department offers a comprehensive B.Tech program in CSE (Data Science), preparing students for careers in data-driven industries and research.


Faculty

SL.NO. Name of the Faculty Designation Date of Joining Qualification Nature of Association Department.
01 Mr.PINAKI BHUSAN NAYAK HOD,Professor 31-07-2023 Ph.D. Regular Master In Computer Application
02 Mr.BHABANI SANKAR PANDA Assistant Professor 12-08-2022 MCA,M.Tech Regular Master In Computer Application
04 Mr.DHEERAJ PADHY Assistant Professor 05-03-2024 MCA,M.Tech Regular Master In Computer Application
04 Ms.SWATISHREE NAYAK Assistant Professor 24-08-2023 MCA,M.Tech Regular Master In Computer Application
05 Ms.SWARNALATA SAHU Assistant Professor 11-09-2023 MCA,M.Tech Regular Master In Computer Application
06 Ms.TANUSRI PRIYADARSINI Assistant Professor 21-09-2023 MCA,M.Tech Regular Master In Computer Application
07 Mr.RAMA KRUSHNA PADHY Assistant Professor 15-04-2024 MCA,M.Tech Regular Master In Computer Application
08 Ms.SUBHASHREE PADHI Assistant Professor 11-06-2024 MCA,M.Tech Regular Master In Computer Application
09 Ms.AMISHA PRADHAN Assistant Professor 10-08-2024 MCA,M.Tech Regular Master In Computer Application
10 Ms.PUSPANJALI PATRA Assistant Professor 04-10-2024 MCA,M.Tech Regular Master In Computer Application
11 Ms.PINKI KUMARI SATAPATHY Associate Professor 06-02-2025 MCA,M.Tech Regular Master In Computer Application
12 Ms.LIPSA NAYAK Associate Professor 08-09-2021 MCA,M.Tech Regular Master In Computer Application
13 Mr.CHITTARANJAN MAHAPATRA Assistant Professor 21-11-2023 MCA,M.Tech Regular Master In Computer Application
14 Mr.PRADYUMNA MISHRA Assistant Professor 24-02-2024 MCA,M.Tech Regular Master In Computer Application

Vision

To become a center of excellence in Data Science education and research by empowering students with the knowledge and skills to analyze data, generate insights, and build intelligent systems that contribute to technological advancement and societal well-being.

Mission

M1: To impart strong foundational and practical knowledge in Data Science, preparing students to meet modern challenges in data-driven industries.

M2: To nurture analytical thinking, innovation, and problem-solving abilities through experiential learning and research-oriented teaching.

M3: To establish industry-academia collaborations for enhanced curriculum development, internships, and career opportunities in data-centric domains.

Objectives

1. To establish a robust academic and research framework in Data Science and related interdisciplinary domains.
2. To integrate concepts of statistics, computing, and AI for solving complex data-driven problems.
3. To remain aligned with national and global trends in Big Data, Artificial Intelligence, and Data Engineering.
4. To foster a startup and innovation ecosystem focused on data-centric technologies.
5. To develop skilled graduates capable of creating real-world impact through data analysis and intelligent systems.
6. To promote research collaborations with academic institutions, industries, and R&D centers.
7. To instill ethical, social, and environmental responsibilities in the design and deployment of data-driven solutions.
8. To contribute to intelligent decision-making and automation in fields such as healthcare, finance, governance, and climate action through data science innovations.

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PROGRAMME OUTCOMES (POs)

1.PO1 (Engineering knowledge): Apply the knowledge of mathematics, science, and engineering fundamentals along with Data Science principles to solve complex computational and data-driven problems.
2.PO2 (Problem analysis): Identify, formulate, and analyze real-world problems using statistical and computational approaches to reach meaningful conclusions based on data.
3.PO3 (Design/development of solutions): Design data-driven systems and algorithms that meet user needs and societal expectations with due consideration for ethics, culture, safety, and sustainability.
4.PO4 (Conduct investigations of complex problems): Use data analytics, experiments, and modeling techniques to conduct research and draw actionable insights from large-scale structured and unstructured datasets.
5.PO5 (Modern tool usage): Employ state-of-the-art tools, software, and platforms like Python, R, SQL, Hadoop, Spark, and ML libraries for effective problem-solving with an understanding of their capabilities and constraints.
6.PO6 (The engineer and society): Apply contextual knowledge and analytics to assess societal, ethical, legal, and health impacts of Data Science solutions in professional practice.
7.PO7 (Environment and sustainability): Understand the implications of data-driven decision-making in the context of environmental and societal sustainability.
8.PO8 (Ethics): Apply ethical principles, ensure data privacy, security, and uphold integrity in collecting, analyzing, and presenting data.
9.PO9 (Individual and team work): Function effectively as an individual and as a team player or leader in multidisciplinary and data-driven projects.
10.PO10 (Communication): Communicate clearly and effectively using data visualizations, reports, dashboards, and presentations to convey technical and non-technical information.
11.PO11 (Project management and finance): Apply project management techniques and financial knowledge to manage data-centric projects in collaborative and real-world settings.
12.PO12 (Life-long learning): Recognize the need for continual learning and adapt to the rapid evolution of data science technologies and practices.



COURSE OUTCOMES (COs)

Link for details of COs

PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

The B.Tech in Computer Science and Engineering (Data Science) program aims to prepare students to:
PEO1: Build successful careers in Data Science, Business Analytics, Artificial Intelligence, and related computing domains.
PEO2: Engage in research, innovation, or entrepreneurship by applying data science methodologies to address industry and societal challenges.
PEO3: Exhibit professionalism, ethical conduct, leadership, and effective communication while working in global and multicultural teams.



PROGRAM SPECIFIC OUTCOMES (PSOs)

PSO1: Ability to acquire, process, and analyze large datasets using modern data science tools and technologies.
PSO2: Ability to design and deploy data pipelines, machine learning models, and decision support systems for predictive and prescriptive analytics.
PSO3: Ability to innovate and apply data science techniques in real-time domains such as healthcare, finance, e-commerce, and smart systems with ethical considerations.