Godavari Institute of Engineering and Technology (A) introduced the course "Data Science" to meet the industry requirements and to make the students pursue their career towards Data Scientist.

Data science is the study of how we extract meaning from data, and in a data driven world, this is an exciting time to seek a degree in this field. Data science is unique in that it combines techniques and theories from many fields including mathematics, computer science, probability and statistics, machine learning, pattern recognition, communication studies, art, and ethics.

The CSE (Data Science) at GIET is designed to provide students an/a

Earning Potential

Studying data science in college can lead to a lucrative career. According to various surveys, graduates in Data Science receive the highest earnings. However, data science is one of the top paid technology jobs above other IT and management roles.

Employment Opportunities

By learning the Cutting-Edge Technologies in Data science, graduates develop technical expertise providing them with the skills to guarantee they will be ready to jump straight into the workplace when they leave college. Students will be encouraged to build an understanding of new technologies such as data modelling, machine learning and artificial intelligence as they progress through the course.

Data Science is the Career of Tomorrow

Industries are becoming data-driven and new innovations are being made every day. The field of technology has become dynamic and with more and more people interacting with the internet, more data is being generated.

GIET welcomes the young and dynamic technocrats into the field of Data Science.

To facilitate the highest quality data science education, research and having collaborations in the public and private sectors for preparing the next generation of data scientists and researchers for a data-centric world by bringing together interdisciplinary faculty

Take steps towards innovating new and better tools to continuously improve how organizations gather, curate, visualize, interpret, and utilize data

Providebest education and training opportunities.

Build relationships with industry, government, philanthropic, and community connections.

Establish specialized laboratories and research infrastructure matching to the best in the nation.

Give emphasis on solving problems of interdisciplinary nature involving data science and by involving interdisciplinary faculty.

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

2: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

3: 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.

4: 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.

5: 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 limitation.

6: 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.

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

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

9: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings

10: 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.

11: Demonstrate knowledge and understanding of the engineering and management principles and apply the set to one’s own work, as a member and leader in a team, to manage projects and in multi-disciplinary environments.

12: 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.

1. Graduates of the program can have a globally competent skilled career in information Science domain.

2. To prepare students to surpass in knowledge Science with the technical skills and competence to hold out analysis and address basic wants of the society.

3. Graduates of the program can have bourgeois skills with a womb-to-tomb learning angle so as to support the expansion of economy of a rustic.

PSO1. To spot, formulate and solve real world complicated engineering issues visage in industries and /or throughout analysis work with due thought for the general public health and safety, within the context of cultural, societal, and environmental things.

PSO2. An ability to style and develop information Science strategies for analyzing huge datasets.