BCA 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.

St.Peter’s Institute of Higher Education and Research in partnership with iNurture Education Solutions offers the new-age BCA in Data Science to cater to this demand. The course has been designed and formulated by industry experts 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.

Programme Objectives:

  • 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 organisational goals in an interdisciplinary team and obtain desired results.

Curriculum*

*Courses are subject to change as per BoS

  • Mathematics – I
  • Problem-solving with Computational thinking
  • Computer Fundamentals and Organization
  • Programming in C
  • English – I
  • Learning to Learn / Digital Literacy
  • 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
  • Database Management Systems
  • Machine Learning
  • Python Programming (CTP – II)
  • Coding and Computational Thinking – I
  • Employability Skills Programme – I
  • Open Elective – I
  • Computer Networks
  • Big Data Analytics
  • Python Libraries and EDA (CTP – III)
  • Coding and Computational Thinking – II
  • Employability Skills Programme – II
  • Open Elective – II
  • 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
  • Time Series Analysis
  • Complex Problem Solving / Critical Thinking
  • Internship

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Enrolled: 5 students
Duration: 3 Years | Full-time