Welcome to

M.Sc. Information Technology

This two-year course fosters academic excellence, practical competence, and professional readiness for successful careers in the IT industry.

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To Shape A Successful Future Tomorrow

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M.Sc. Information Technology

About Our Department

M.Sc.Information Technology is a dynamic, practice-oriented postgraduate programme designed to equip students with strong technical expertise and industry-relevant skills. The department is supported by a team of experienced senior faculty members with rich academic backgrounds, research exposure, and industry experience, who guide students through...

Library
Best Laboratories
Add-On Courses
Scholarships

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Highlights Of The Department

M.Sc.Information Technology (IT) highlights

Advanced Technical Curriculum

Industry-Oriented Learning

Practical Exposure & Hands-on Training

Career Development & Placement Support

Ethical & Professional Development

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Scope Of The Course

Career Opportunities, Software Developer / Programmer, Data Analyst / Data Scientist, Cybersecurity Analyst & IT Consultant

High Demand in IT & Tech Industry

With knowledge of software development and tech management, you can launch your own IT startup or freelance in areas like web/app development or tech consulting.

Entrepreneurship & Startups

Global Job Prospects

Skill Development

Add-on Courses

The Department offers additional skill enhancement courses to broaden students knowledge and employability prospects.

Microsoft Power BI

Microsoft Power BI

The Power BI Add-on Course is designed to provide students and professionals with hands-on experience in data visualization, business intelligence (BI), and analytics using Microsoft Power BI.

Full Stack Development

Full Stack Development

The Full Stack Development is designed to equip students with end-to-end web development skills, covering both frontend and backend technologies.

Python

Python

Essential skills and knowledge required to create dynamic, responsive, and visually appealing websites.

Data Science

Data Science

Equip students with essential skills for handling large datasets and extracting meaningful insights.

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Syllabus

Semester- I

Core I: Python Programming
Core II: Web development Using WordPress
Core III: Python Programming Practical
Core IV: Web Development Using WordPress Practical
Elective I: Digital Computer Architecture/Operating System/Design and Analysis of Algorithms
Elective II: Software Engineering/Object Oriented Analysis and Design/ Software Project Management

Semester- II

Core V: C++ and Data Structures
Core VI: Relational Database Management System
Core VII: Data Stucture Using C++ Practical
Core VIII: Relational Data Base Management System Practical
Elective III: Data Science/Net with c# Programming/ Biometric Technics
Elective IV: Natural Language Processing/ Data Visualization/Cloud Computing
SEC-I Fundamentals Of Human Rights