BCA Data Science

Teacher
SAGE University
Category:
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. Hence, the emphasis on ‘data-driven science’ with traditional hypothesis-driven business decision-making has increased. It has led to the emergence of ‘Data Science’, a specialist field that demands multiple skills not easy to obtain through conventional curricula.

SAGE University, Indore is offering the new-age BCA in Data Science to cater to this demand. The course has been designed and formulated by industry experts specifically to prepare students with strong theoretical foundations and practical skills in data science & big data analytics. 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 graduates as leading professionals in government, academia, and corporate having entrepreneurial pursuits.
  • Prepare graduates capable of articulating and solving problems in Computer Applications, specifically Data Science.
  • 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

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
  • Introduction to Data Science (CTP – I)
  • Environmental Awareness and Action / Community Engagement and Service

Semester 3

  • Database Management Systems
  • Machine Learning
  • Python Programming (CTP – II)
  • Coding and Computational Thinking – I
  • Employability Skills Programme – I
  • Open Elective – I

Semester 4

  • Computer Networks
  • Big Data Analytics
  • Python Libraries and EDA (CTP – III)
  • Coding and Computational Thinking – II
  • Employability Skills Programme – II
  • Open Elective – II

Semester 5

  • Advanced Machine Learning
  • Real Time Data Processing
  • Reinforcement Learning (CTP – IV)
  • Teamwork / Coordinating / Collaborating with others / Leadership Readiness
  • Communication Skills / Analytical Reasoning
  • Coding and Computational Thinking – III
  • Employability Enablement Programme
  • Open Elective – III
  • Foreign Language

Semester 6

  • Time Series Analysis
  • Complex Problem Solving / Critical Thinking
  • Internship

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