CSE- BIG DATA ANALYTICS

Undergraduate Program

BIG DATA ANALYTICS

Choose to learn what you are passionate about!

The CSE program with a specialization in Big Data Analytics at Amrita Sai Institute of Science and Technology provides students with the essential skills to manage, analyze, and interpret vast amounts of data. This course covers advanced techniques in data analysis, machine learning, and data visualization, ensuring students are prepared for the demands of the tech industry.

BS-32/A, Second Floor, Survepalli Radhakrishnan Block
9052608123

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Social Info

What makes us the best?

Specialized Curriculum: Focus on Big Data Analytics, Data Science, AI & Machine Learning.
Expert Faculty: Learn from experienced professionals and researchers in the field.
Modern Facilities: Well-equipped labs with the latest tools and software for data analysis.
Career Opportunities: Strong placement support with leading companies.
Holistic Development: Encouragement to participate in competitions and development activities.

Build a best career

Graduates from our CSE program specializing in Big Data Analytics can pursue careers as data analysts, data scientists, business intelligence analysts, data engineers, and more. Our curriculum and faculty ensure that students are ready for successful careers in the tech industry, with projects designed to enhance analytical and problem-solving skills.

Strengths

Recognized Research Center by JNTUK.
AICTE-approved and NAAC accredited with an 'A' grade.
ISO 9001:2015 certified since 2010-2011.
Fully LAN-connected computer systems with internet access.
Technical skills training through Campus Recruitment Programs.
Soft skills development in collaboration with the English department.
Committed to achieving 100% placement for all registered students.
Maintaining a 20:1 student-faculty ratio.
Classrooms equipped with modern visual aids.
Additional coaching for students needing extra support.

Department Vision

“To contribute significantly to Information Technology for transforming the lives of individuals and society through continuous innovation in information technology education, intra departmental research and entrepreneurship”.

Department Mission

To enable our students to play a key role in Information Technology globally through a best in class methodologies with a focus on education, research and entrepreneurship.

Program Educational Objectives (PEO's)

PEO 1: Graduates will have knowledge of mathematics, science, engineering fundamentals and in-depth studies in Computer Science Engineering, and will be able to apply them for formulating, analyzing and solving real world problems.
PEO 2: Graduates will succeed in earning coveted entry level positions in leading computer software and hardware Firms in India and abroad and Graduates will succeed in the pursuit of advanced degrees and research in engineering or other fields and will have skills for continues, independent, lifelong learning and professional development throughout life.
PEO 3: Graduates will have good communication skills, entrepreneurial skills, leadership qualities, ethical values and will be able to work in teams with due attention to their social responsibilities.

PO'S (Program Objectives) :

PO1: Engineering Knowledge: Apply knowledge of mathematics and science, with fundamentals of Computer Science & Engineering to be able to solve complex engineering problems related to CSE.
PO2:Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems related to CSE and reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3:Design/Development of solutions: Design solutions for complex engineering problems related to CSE and design system components or processes that meet the specified needs with appropriate consideration for public health and safety and cultural societal and environmental considerations.
PO4: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.
PO5:Modern Tool Usage: Create, Select and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to computer science-related complex engineering activities with an understanding of the limitations.
PO6: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 CSE professional engineering practice.
PO7:Environment and Sustainability: Understand the impact of the CSE professional engineering solutions in societal and environmental contexts and demonstrate the knowledge of, and need for sustainable development.
PO8:Ethics: Apply Ethical Principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9:Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary settings.
PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large such as able to comprehend and write effective reports and design documentation, make effective presentations and give and receive clear instructions.
PO11:Project Management and Finance: Demonstrate knowledge and understanding of the engineering 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.
PO12: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 Objectives (PSO's)

PSO 1: An ability to formulate and analyse a problem, and define the computing requirements to its solution using basic principles of mathematics, science and computer engineering and ability to design, implement, and evaluate a computer based system, process, component, or software tom meet the desired needs.
PSO 2: An ability to design and conduct research based experiments, perform analysis and interpretation of data and provide valid conclusions and ability to use current techniques, skills, and tools necessary for computing practice, and understanding and commitment towards the professional and ethical responsibilities of an engineer.

Faculty List

S.No	Name of the Faculty	Designation	Qualification
1.	B.Praneeth	Asst.Professor	M.Tech
2.	N.Rama Krishna	Asst.Professor	M.Tech
3.	Abdul Firoj	Asst.Professor	M.Tech
4.	P.Venkateswara Rao	Asst.Professor	M.Tech
5.	V.Sravani	Asst.Professor	M.Tech
6.	D.Venkateswarlu	Asst.Professor	M.Tech
7.	Sudheer Babu	Asst.Professor	M.Tech
8.	S.Anusha Rani	Asst.Professor	M.Tech
9.	K Manju	Asst.Professor	M.Tech