Department Of Computer Science And Engineering (Data Science)

Welcome to the new way of learning at the Department of Computer Science & Engineering (Data Science) in SAI VIDYA INSTITUTE OF TECHNOLOGY (SVIT), Bengaluru that promotes quality teaching learning process, creativity, innovation and employability.


The Department of Data Science offers BE in Computer Science and Engineering (Data Science) which is approved by AICTE and is affiliated to VTU, Belagavi from the academic year 2021-22. The exciting journey of the department in the emerging domain of Data Science started in the year 2021 offering an undergraduate B.E. program with an intake of 60 students. From 2022-23 the intake is increased to 120 students.


The Department is headed by Dr. Nagashree N, who has nearly a decade of teaching experience. The department is equipping itself with well qualified teaching faculty with rich research, teaching and industrial experience and is committed to impart rigorous training to students to generate knowledge through the state-of-the-art concepts and technologies in Data Science , and transform the Department as a leader in imparting Data Science education and research.


The Department practices Outcome-Based Education (OBE) and has an adequate infrastructure with state-of-the-art laboratories and other supporting facilities to provide enhanced learning environment. The Department attracts the best of engineering aspirants from all over the country.


Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.


Course Overview

B.Tech in Computer Science & Engineering (Data Science) is a journey towards mastering CSE in the field of Data Science applying Machine Learning Techniques. This course will make the students to understand and master CSE and make them specialist in the field of Data Science – which is one of the emerging fields of Computer. Companies like Google, Microsoft, Face Book, Twitter, Instagram, Cisco, Amazon, Oracle are the major users of Data Science which is highly driven by data.


Data Science is the conceptual framework used in Analytics that includes statistics, computational physics, algebra and other Computer science fundamental subjects. The interdisciplinary field of data science uses key skills of a wide range of fields including machine learning, statistics, visualization etc. It enables us to identify meaning and appropriate information from huge volumes of data to make informed decisions in technology, science, business etc.


For a simpler view on the relation between these technologies, data science is applied based on machine learning. Machine learning is a part of data science that draws features from algorithms and statistics to work on the data extracted from and produced by multiple resources.


Concisely, data science stands for an all-inclusive term that consists of aspects of ML for functionality. Interestingly, ML is also an element of data science, where a diverse set of purposes are achieved on a completely new level. ML and DS are a part of data science. To conclude, a B.Tech. Graduates in CSE& DS will be solving real life problems driven by data, applying machine learning algorithms and driven by DS concepts.


First Year: The students study the subjects that are common to all the engineering disciplines.


Second Year: Core subjects in Computer Science such as Data Structures, Computer Organization, Data communication and Computer Networks, Discrete Mathematics, Analysis and Design of Algorithms, Operating Systems etc.


Third & Fourth Year: consists of Automata Theory, Database management system, python advanced subjects pertaining to Data science such as Big data, Data Analytics, Statistics, Machine Leaning with Deep Learning, Pattern recognition, Internet of Things, Cloud Computing, Data Security etc. The course includes mini project, internship and major projects.


Career Opportunities

1. Data Analyst: Data analysts bridge the gap between data scientists and business analysts.

2. Data Scientist: Data scientists examine which questions need answering and where to find the related data.

3. Data Engineer: Data engineers manage exponential amounts of rapidly changing data.

4. Data Architect: Builds data solutions for performance and design applications.

5. Application Architect: Track how applications can be used throughout a business process.

Quick Facts
Vision

To develop competent and socially responsible engineers in the domain of Data Science to architect Strong India and the world

Mission

To provide quality technical education in the field of computer science and engineering and data science by creating and nurturing innovative and technologically steadfast learning environment
To inculcate moral ethics in students enabling them to become socially committed professionals with leadership qualities.

PEOs are broad statements that describe the career and professional accomplishments that the program is preparing graduates to achieve:

PEO 1 : Serve as Data Science professional with proficiency in developing solutions to complex engineering problems.
PEO 2 : Pursue higher education, research and preserve the essence of lifelong learning.
PEO 3 : Exhibit high standards of social and professional ethics, entrepreneurship and leadership qualities.

POs are Statements that describe what students are expected to know and be able to do upon graduating from the program. These relate to the skills, knowledge, analytical ability, attitude and behavior that students acquire through the program.

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 Investigation 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 & 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.

PSOs are the statements that describe what students are expected to know and be able to do in a specialized area of discipline upon graduation from a program.

PSO 1 :
PSO 2 :
PSO 3 :

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