B.Sc. Information Technology (Data Science)

Teacher
Rathinam College
Category:
Data Science

Data is considered the new fuel of the modern era. Data-driven solutions are gaining traction in almost all domains like finance, education, healthcare, manufacturing, retail, telecom, IT, and more. Yet there is a dearth of skilled Data Science professionals worldwide, with the market expected to grow to USD 77.6 billion by 2023.

Thus, the Rathinam Group of Institutions has started the new-age B.Sc. Information Technology (Data Science) with a curriculum to impart the most sought-after skills in the industry today. Designed and formulated by industry experts, the programme will prepare students with strong theoretical foundations and practical skills in the emerging field of data science.

  • 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 Information Technology, specifically 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

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

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