School of Computer Application

The Master of Computer Applications (MCA) is a postgraduate degree program that normally lasts 2 Years (formerly 3). It specializes on advanced computer science and application development, including programming languages, database management, software engineering, and network security. MCA prepares students for software development, system analysis, and IT management positions. The program frequently includes industrial internships and projects, which prepare graduates for positions in the fast changing technology industry or subsequent academic studies.

 M.Sc. in Computer Science is typically a 1.5 to 2-year postgraduate study that focuses on advanced computing ideas. The program includes topics like algorithms, artificial intelligence, machine learning, data science, software engineering, and computer networks. Students focus on coursework, research projects, and, in many cases, a thesis or capstone project. This degree provides graduates with sophisticated problem-solving skills and specialized knowledge, qualifying them for high-level positions in the technology industry or subsequent academic pursuits such as Ph.D. programs.

A Post Graduate Diploma in Computer Application (PGDCA) is an advanced academic program of 1 year designed for graduates who want to specialize in computer applications and information technology.

This course covers various aspects of Computer applications such as Programming languages (e.g., C, C++, Java), Web technologies, Computer networks, and so on.

M.Sc. in Data Science is typically a 2-year postgraduate program that equips students with advanced skills in data analysis, machine learning, and statistical modeling. The curriculum often covers topics such as big data technologies, data visualization, predictive analytics, and programming languages like Python and R. Students learn to extract insights from complex datasets, develop algorithms, and apply data-driven solutions to real-world problems. The program usually includes coursework, projects, and often a thesis or capstone project. Graduates are prepared for careers as data scientists, analysts, or researchers in various industries, including tech, finance, healthcare, and academia.