Programme Overview

The B.Sc. Information Technology programme at Rabindranath Tagore University prepares students for the digital world. Students learn programming, databases, operating systems, computer networks, and web development. The curriculum introduces artificial intelligence, machine learning, deep learning, and Google Cloud. Students also explore the Internet of Things and data visualization. Practical laboratory sessions and internships help them apply their knowledge. The four-year programme offers Honours and Honours with Research pathways, subject to applicable university regulations.

  • 3 Years

    Duration of programme

  • UG

    Level of Study

Key Highlights

Strong Information Technology Fundamentals
Artificial Intelligence and Machine Learning
Hands-On Programming and Laboratory Practice
Google Cloud Computing Exposure
Internet of Things Technologies

How will you benefit

Learn Python, C++, and Java programming. Understand databases, operating systems, and computer networks. These skills help you solve technical problems, understand how computer systems work, and build a strong foundation for IT careers and further studies
Discover artificial intelligence, machine learning, advanced ML, and deep learning. Understand how intelligent systems process information and support modern applications. This knowledge helps you explore emerging technologies and prepare for further lear
Apply your knowledge through laboratory sessions, programming exercises, and internships. Work with programming languages, databases, and computer systems. Practical learning helps you improve problem-solving skills, build confidence, and understand how I
Explore Google Cloud, data visualization, and business intelligence. Understand how organisations use cloud services and data to manage information and make decisions. These skills can help you explore further learning and entry-level opportunities in clo

What will you study

Fundamentals of Information Technology and Computer Systems

Statistical Methods, Probability, and Linear Algebra

Python Programming and Object-Oriented Programming Using C++

Artificial Intelligence and Machine Learning Fundamentals

  • Knowledge: Learners are encouraged to apply the knowledge of mathematics and science fundamentals to various solutions of complex problems.
  • Problem Analyses: Well equipped with an understanding of the analytical methods involved, they are in a position to interpret and analyse results
  • Designing Solutions: Having acquired knowledge of subjects, students are trained to think out of the box, design and conduct an experiment or a series of experiments that demonstrate their understanding of the methods and processes involved.
  • Modern tool usage: Learners Communication Development: The medium of instruction being English, proficiency in the subject through English is one of the primary objectives of the science program are trained to create, select, and apply appropriate techniques, resources and IT tools in the analysis and synthesis of data within limitations

Curriculum

  • Fundamental of Computer Programming
  • Applied Probability & Statistics
  • Domestic Data Entry
  • Entrepreneurship

CAREERS AND EMPLOYABILITY

IT Support Associate
Junior Software Developer
Web Development Associate
Data Analytics Associate

ELIGIBILITY CRITERIA

10+2 (PCM and PCB)

GEN.-45% ST,SC,OBC-40% minimum 40 % marks

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