The Department of Computer Science and Engineering  in Data Science  (CSE-DS) was established in the year 2021 with an intake of 60. Over the years, it has grown by leaps & bounds and the intake was 120.

Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. With the help of data science, IT companies have successfully obtaining meaningful insights from unstructured and raw data.

Data science has been helping businesses to grow beyond the conventional norms of data consolidation. It enables the companies to have access to more and more information and allows seeing new things in a better way, from a different perspective. In addition, it is the best way to find solutions to circumstances with varied and dispersed data. Data Science has varied applications, where business and commercial areas predominate. Data Science has also made inroads into the transportation industry, such as with driverless cars.

The data science field is rapidly growing. It is estimated that the market will grow by nearly 28% by 2026. Hence, there are ample high paying opportunities for qualified data science professionals, and the demand will only rise with time. The important thing right now would be to focus on acquiring the right qualifications by undergoing data science.

There are different job profiles available like Data Scientist, Data Analyst, Data Engineer, Data Mining Engineer, Data Architect, Data Statistician and many for aspirants to join the exciting, growing, and demanding field of data science.

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Vision:

The department aims to become a leader in the field of education, training and research in emerging technologies of computer science with managerial skills and social values.

Mission:

M1: To facilitate competent industry relevant education through teaching learning process.

M2: To inculcate interest on research and innovation through critical thinking.

M3: To impart values and ethics for prospective and promising engineering.

Program Outcomes:

Engineering Graduates will be able to:

1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
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.
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.
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.
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.
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.
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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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 Specific Outcomes:

Students will be able to

PSO1: Design, Identify and Apply Computing techniques and resources for solving real time engineering problems.

PSO2: Identify and Understand the emerging tools of  data science.

PSO3: Understand statistical analysis and decision making skills in the field of data science.

Program Educational Objectives:

The Program Educational Objectives (PEOs) of the under graduate programme in CSE- Data science (CSD) at G. Pulla Reddy Engineering College (Autonomous) Kurnool are to prepare graduates to possess the ability to

PEO1: Analyze, Design and Develop computer based systems and applications using emerging areas of Computer Science.

PEO2: Be engineering professionals, innovators, entrepreneurs engaged in their profession with social awareness and ethical values.

PEO3: Work in teams in multi-disciplinary areas to address the needs of society.

PEO4: Adapt to emerging technologies by engaging themselves in lifelong learning.