BCA Data Science

Teacher
Saravana Kumar
Category:
Computer Engineering, Data Science

Programme Overview:

Nowadays, people say that ‘Data’ is the new oil in the present ‘Digital’ age. As any expert will say, its value gets amplified when it gets processed, analyzed and utilized efficiently and instantly. Data’s prominence in all domains, like finance, education, healthcare, manufacturing, retail, telecom, IT, etc., has increased over the last decade. But the demand for skilled professionals worldwide is much more than the supply, with the market expected to grow to USD 77.6 billion by 2023.

To bridge this demand-supply gap, iNurture Education Solutions, in association with Kalinga University, Raipur, has started the futuristic BCA Data Science programme. The programme emphasizes on practical and application-oriented learning and has been designed and formulated by industry experts.

Programme Objectives:

  • Prepare graduates who can utilize statistics and data analysis concepts with suitable programming languages to gain insights from vast amounts of data for reliable business intelligence solutions.
  • Prepare graduates who can develop suitable techniques using machine learning algorithms based on relevant findings within production environments.
  • Prepare graduates who can evaluate appropriate solutions in areas of machine learning, big data, and neural networks to solve real-time problems.

Curriculum*

*Subject to change

Semester 1

  • Mathematics – I
  • Problem-solving with Computational thinking
  • Computer Fundamentals and Organization
  • Programming in C
  • English – I
  • Learning to Learn / Digital Literacy

Semester 2

  • Mathematics – II
  • Data Structures and Algorithms
  • Operating Systems
  • Object Oriented Programming With Java
  • Software Engineering
  • Communicative English
  • Foundation Course – CTP (Data Science)
  • Environmental Awareness and Action / Community Engagement and Service

Semester 3

  • Database Management Systems
  • Machine Learning
  • Beginner Level – CTP (Data Science)
  • iCODE – I
  • Employability Skills Programme – I
  • Open Elective – I

Semester 4

  • Computer Networks
  • Big Data Analytics
  • Intermediate Level – CTP (Data Science)
  • iCODE – II
  • Employability Skills Programme – II
  • Open Elective – II

Semester 5

  • Advanced Machine Learning
  • Real Time Data Processing
  • Advanced Level – CTP (Data Science)
  • Teamwork / Coordinating / Collaborating with others / Leadership Readiness
  • Communication Skills / Analytical Reasoning
  • iCODE – III
  • Employability Enablement Programme
  • Open Elective III
  • Foreign Language

Semester 6

  • Time Series Analysis
  • Complex Problem Solving / Critical Thinking
  • Simulated Apprenticeship Programme/ Internship

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Enrolled: 4 students
Duration: 3 Years | Full-time