B.Tech. CE 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. Apex University, in collaboration with iNurture Education Solutions, is offering B.Tech. CS in 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 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 Applications specifically in the field of Data Science.
  • Prepare graduates with high learnability and adaptability to the constantly changing technological environment.
  • Prepare graduates to lead and ethically initiate the 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 (Value Added Course*)
  • 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 (Value Added Course*)
  • 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 (Value Added Course*)
  • Managing Self (Value Added Course*)
  • 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 (Value Added Course*)
  • Managing Work and Others (Value Added Course*)
  • 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: 2 students
Duration: 4 Years | Full-time Program