B.Tech. – IT Data Science

The Information technology industry has been developing at a fast pace. With the evolution of communication technologies and the abundance of data, businesses are accumulating new data at a rate that exceeds their capacity to extract value from it. Hence, the emphasis on ‘data-driven science’ in addition to traditional hypothesis driven business decision-making has increased. This has led to the emergence of ‘Data Science’, a specialist field that demands multiple skills not easy to obtain through conventional curricula. Ajeenkya DY Patil University , in collaboration with iNurture Education Solutions, is offering B.Tech – IT Data Science to meet this demand. Designed and formulated by industry experts, the curriculum emphasizes practical and application-oriented learning. With the potential to grow exponentially, this fast growing sector provides challenging job opportunities for the skilled professionals

  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Best-in-class faculty
  • Tech-enabled program delivery using tablets, PCs and learning management system
  • Emphasis on application-oriented learning
  • Reputed university with excellent campus and infrastructure
  • 100% placement support*

Program Details

  • Prepare leading professionals in government, academia, and corporate having entrepreneurial pursuits. 
  • Prepare graduates capable of articulating and solving problems in the field of Computer Technology specifically in the  field of Data Science. 
  • Prepare graduates with high learnability and Prepare graduates with high learnability and adaptability to the constantly  changing technological environment. 
  • Prepare graduates to lead and ethically initiate professional and organizational goals in an interdisciplinary team and  obtain desired results. 

Curriculum*

*Subject to change

  • Engineering Mathematics-I
  • Engineering Physics
  • Engineering Chemistry
  • Basic Electrical Engineering
  • Basic Electronics Engineering
  • Environmental Studies
  • English Communication – I
  • Web Designing
  • Engineering Physics (Lab)
  • Engineering Chemistry (Lab)
  • Basic Electrical Engineering (Lab)
  • Basic Electronics Engineering (Lab)
  • Engineering Drawing (Lab)
  • Workshop Practice (Lab)
  • Engineering Mathematics-II
  • Engineering Physics
  • Engineering Chemistry
  • Basic Electrical Engineering
  • Basic Electronics Engineering
  • Programming in C
  • English Communication – I
  • Engineering Physics (Lab)
  • Engineering Chemistry (Lab)
  • Basic Electrical Engineering (Lab)
  • Basic Electronics Engineering (Lab)
  • Engineering Drawing (Lab)
  • Workshop Practice (Lab)
  • Programming in C (Lab)
  • Introduction to Data Science
  • Statistics and Probability
  • Data Structures Using C++
  • Computer Architecture and Organizations
  • OOPS with Java
  • Effective Communication Skills
  • Data Structures Using C++ (Lab)
  • OOPS with Java (Lab)
  • Project
  • Foundation in Quantitative Aptitude
  • Python Programming for Data Science
  • Sampling Methods
  • Relational Database Management System
  • Operating System
  • Personality Development
  • Relational Database Management System (Lab)
  • Python Programming for Data Science (Lab)
  • Professional Elective Courses – I
  • Analytical Reasoning
  • Data Mining Techniques
  • NoSQL Databases
  • Software Engineering
  • Computer Networks
  • Theory of Computation
  • Human Values & Professional Ethics
  • Data Mining Techniques (Lab)
  • NoSQL Databases (Lab)
  • Industrial Training Seminar
  • Professional Elective Courses – II
  • Modern Algebra and Data Management
  • Managing Self
  • Campus Recruitment Training
  • Big Data Analytics
  • Time Series Forecasting
  • Inferential Statistics
  • Design and Analysis of Algorithms
  • Logical Reasoning and Thinking
  • Design and Analysis of Algorithms (Lab)
  • Big Data Analytics (Lab)
  • Professional Elective Courses – III
  • Professional Elective Courses – IV
  • Advance Algebra and Geometry
  • Managing Work and Others
  • Campus Recruitment Training
  • Industrial Training
  • Advanced Big Data Analytics
  • Machine Learning
  • Model Validation Techniques
  • Advanced Big Data Analytics (Lab)
  • Machine Learning (Lab)
  • Mini Project (Lab)
  • Industrial Training Seminar
  • Professional Elective Courses – V
  • Professional Elective Courses – VI
  • Open Elective Courses – I
  • Industry Internship
  • MOOC – Professional Certification
  • Course based on Data Science
    Or
  • Project
  • Professional Elective Courses – VII
  • Open Elective Courses – II

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Enrolled: 4 students
Duration: 4 Years | Full-time