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.

Bachelor of Computer Applications (BCA) is a 3 year undergraduate degree program in computer science and applications. It provides students with the necessary abilities in programming, software development, database management, and computer networks. C++, Java, web technologies, and data structures are common areas covered in the curriculum. BCA graduates are equipped for careers in information technology, software development, and system analysis, as well as advanced courses such as MCA. This program is suitable for students who are passionate about technology and want to work in the fast evolving IT business.

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.

 M.Sc. in Artificial Intelligence is a specialized postgraduate program designed to equip students with advanced knowledge and skills in AI, machine learning, data science, and robotics. Typically spanning 2 years, this course covers key areas such as deep learning, natural language processing, computer vision, and algorithm development. Students acquire hands-on experience with AI tools and frameworks through practical projects, internships, and research opportunities. The curriculum emphasizes problem-solving techniques and the ethical considerations of AI applications. Graduates of this program are well-prepared for careers in AI research, development, and industry applications across sectors like healthcare, finance, and technology. The course may vary in duration depending on the institution and mode of study (full-time, part-time, or online).