CSE(DS)

Department of CSE(Data Science)

Notifications

G. Venkata Krishna has been selected for the INAE CEEE Program at IIT Kharagpur, which includes two weeks of offline sessions (16th June 2025 to 27th June 2025) followed by two weeks of online sessions.
Ms. Gudapati Pavani, Assistant Professor in CSE (Data Science), has successfully completed the NPTEL course Introduction to Machine Learning with an Elite certification, during the January to April 2025 session.
Ms. CH Mounika, Assistant Professor in CSE (Data Science), has successfully completed the NPTEL course Introduction to Machine Learning with an Elite certification, during the January to April 2025 session.
K S S Narayana, Assistant Professor in CSE (AI&ML), has successfully completed the NPTEL course Cryptography and Network Security with an Elite+Silver certification, during the January to April 2025 session.

B.Tech in Computer Science and Engineering (Data Science) is a four-year undergraduate program that started with an intake of 60 in 2022 and combines the study of traditional computer science with the principles and techniques of data science.

The program typically covers a broad range of topics in computer science, including data structures, algorithms, problem-solving techniques, programming languages, operating systems, and computer networks. In addition, the program may include courses on Data Science and Machine Learning (ML) topics such as statistical analysis, data visualization, database systems, data mining, data analytics, big data technologies, machine learning algorithms, business intelligence, and more.

Graduates of this program may work in various industries, including technology, finance, healthcare, retail, transportation, manufacturing, energy, agriculture, marketing, cyber-security, government and more. Opportunities like data scientists, machine learning engineers, business intelligence analysts, data engineers, software developers, or other roles involve designing and implementing intelligent systems. They may also pursue further studies in post-graduate programs in Data Science, AI, ML or related fields.

Some of the industries where data scientists are in high demand include:

Technology: Technology companies, such as Facebook, Apple, Amazon, Netflix, Google, and other top tech companies, hire data scientists to work on various projects, including search algorithms, advertising systems, and recommendation engines.
Finance: Financial institutions such as banks, hedge funds, and insurance companies use data science to support decision-making, detect fraud, predict customer behaviour and develop new financial products.
Healthcare: Data scientists in healthcare are working on areas such as precision medicine, drug development, patient outcomes analysis, and medical imaging analysis.
Retail: Retail companies use data science to analyze customer behaviour and sales data to improve marketing and inventory management, forecast demand and optimize pricing.
Manufacturing and Automotive: Companies in these industries use data science for predictive maintenance, quality control and optimizing their supply chains
Energy and utilities: Companies in this field use data science to optimize power generation, transmission, and distribution.
Consulting: Data Science consulting companies work with clients from diverse fields, helping them to leverage data to improve their business operations and strategies.
Government and non-profit:Data science is also applied in government and non-profit organizations for areas like policy-making, budget allocation and public welfare.
Media and Advertising: Companies in media and advertising use data science to understand customer preferences and make better ad placement and targeting decisions.
Cyber security: Companies and organizations that provide cyber security solutions use data science techniques to protect against data breaches, cyber-attacks and data theft.

To provide rich ambience for Academic and Professional Excellence, Research,
Employ - ability skills, Entrepreneurship, and Social responsibility.

To empower the students with technical knowledge, Awareness of up-to-date technical trends, Inclination for research in the areas of human needs, Capacity building for Employment / Entrepreneurship, and Application of technology for societal needs.

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, review 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, and need for sustainable development.

PO-8

Ethics: Apply ethical principles and commit to professional ethics and 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 at large, such as, 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

Life-long Learning: 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.

PROGRAM EDUCTIONAL OUTCOMES (PEOs)

PEO-1

The graduates of the program will excel in the concepts of basic engineering and advanced concepts of computer science engineering.

PEO-2

The graduates of the program will be professional in computing industry or pursuing higher studies.

PEO-3

The graduates of the program will excel in team work, ethics, communication skills and contribute to the benefit to the society.

PROGRAM SPECIFIC OUTCOMES (PEOs)

PSO-1

Apply the Knowledge of Computing Skills in building the Software Systems that meet the requirements of Industry and Society.

PSO-2

Apply the Knowledge of Data Engineering and Communication Technologies for Developing Applications in the Domain of Smart and Intelligent Computing.