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B.Sc.- Big Data Analytics

B.Sc.- Big Data Analytics

Sharda School of Engineering and Technology (SET)

  • Level

    Graduate

  • Duration

    3 Years

About the Programme

Big Data has become a new norm of life with the introduction of social media, online commerce, vast data storage methods, and extremely powerful processor capabilities. Computers have only lately been able to acquire and analyze vast amounts of data from a variety of disciplines, including people, behavior, information, gadgets, sensors, biological signals, finance, cars, neurology, and so on.

Almost every industry is bracing for the Big Data challenge, and they want to mine valuable data for insight on how to tackle their problems. This course will give students with the foundational information they will need to face those difficulties.

Programme Educational Objectives (PEO)

  • PEO-1 The graduates will establish themselves as professionals by solving real-life problems using exploratory and analytical skills acquired in the field of Computer Science and Engineering.
  • PEO-2 The graduates will provide sustainable solutions to ever changing interdisciplinary global problems through their Research & Innovation capabilities.
  • PEO-3 The graduates will become employable, successful entrepreneur as an outcome of Industry-Academia collaboration. 
  • PEO-4 The graduates will embrace professional code of ethics while providing solution to multidisciplinary social problems in industrial, entrepreneurial and research environment to demonstrate leadership qualities

Program Outcomes (PO’s)

  • PO1:Computing knowledge: Understand the basic principles and methods of computer science for solving complex computing problems.
  • PO2: Problem Analysis and Design of solutions Analyze and formulate a problem, evaluate a computing-based solution to meet a given set of requirements using software development concepts.
  • PO3: Modern tool usage: Ability to select and apply current techniques and modern IT Tools for innovative software solutions.
  • PO4: Technical Skill Development To develop and sharpen programming, networking, and other computer science skills required in the field of study/ higher education.
  • PO5: Societal Concern: Utilize the role of computing for solving real life problems and to analyze its global impact on individuals, organizations, and society.
  • PO6: Environment and Sustainability:
  • Actively involved with knowledge, skills and right attitude in environmental context for sustainable development.
  • PO7: Ethics: Recognize ethical principles and moral values for the computing profession in global economic environment.
  • PO8: Individual and team work Ability to function effectively as an individual or a team member engaged in accomplishes a common goal.
  • PO9: Communication: Development of good communication skills in both written and verbal form to convey technical information effectively and accurately.
  • PO10: Life-long learning: Ability to recognize the need of training and skills to engage in self-regulating and life-long learning.

PSO’s

  • PSO1: Computer Science Provide effective and efficient solutions to real life problems using acquired knowledge in Data Mining, graph theory, advanced DBMS and other computer science concepts for continued professional development.
  • PSO2: Information Technology
  • Explore and provide software solutions of complex problems using information technology concepts like Enterprise Resource Planning, network security, IT infrastructure management.

This course is for individuals who...

This programme is for students who wish to have a deeper understanding of how Big Data is used in our daily lives. The course focuses on acquiring skills and a sense of how to use big data effectively to improve people's lives. The course focuses on models, methods, and approaches for analyzing massive volumes of data from a variety of sources.

Students who are looking for...

A profession in a field that is always evolving, with an almost limitless range of data generation, gathering, processing, and analysis. Financial stability, the ability to relocate, and the opportunity to learn for the rest of one's life are just a few of the benefits that make this programme an excellent choice for computer science enthusiasts.

Successful graduates of the course will have access to a variety of career opportunities. The course's successful graduates are offered a preliminary average compensation of INR 3 to 8 Lacs, which is based on the candidate's experience in the field. After successfully completing the course, students might find work in both the commercial and public sectors.

Course Fee
For National Students
1st Year 95481 2nd Year 98345 3rd Year 101296
For International Students
Fee Per Semester Fee Per Year
NA NA
Eligibility Criteria
For National Students
  • Sr. Secondary (10+2) with minimum 50% marks.
  • Mathematics/Statistics/Computer/Information Science being one of the subjects
For International Students The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.
Career path you can choose after the course
  • Data Analyst
  • Analytics Consultant
  • Data Scientists
  • Data Manger (to name a few)

Take the next step towards a career in engineering.

Apply Now