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 Bachelor of Science (B.Sc.) in Computer Science is usually a 3-4 year undergraduate degree program that gives a solid foundation in computing ideas and methods. The curriculum includes fundamental topics such as programming languages, algorithms, data structures, software engineering, database management, computer networks, and artificial intelligence. Students also get hands-on experience from practical projects and lab work. This degree provides graduates with problem-solving skills and technical expertise, equipping them for a variety of employment in software development, systems analysis, cybersecurity, and other technology-related fields.

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.

Bachelor of Science (B.Sc.) in Data Science is typically a 3-4 year undergraduate program that equips students with the skills to analyze and interpret complex data. The curriculum combines mathematics, statistics, computer science, and domain-specific knowledge. Students learn programming languages like Python and R, database management, machine learning, data visualization, and big data technologies. The program often includes hands-on projects, internships, and a capstone project to apply theoretical concepts to real-world scenarios. Graduates are prepared for careers in various industries, including tech, finance, healthcare, and research. The degree provides a strong foundation for further studies in data science, artificial intelligence, or related fields.

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.

Bachelor of Science in Artificial Intelligence and Machine Learning is a 3-4 year undergraduate degree that provides a solid foundation in AI technology, machine learning methods, and data science concepts. The course blends theoretical knowledge with hands-on experience in topics like as neural networks, deep learning, natural language processing, and computer vision. Students also learn basic programming skills, AI mathematics, and data analytics, with projects and internships to help them comprehend things practically. Graduates are equipped for professions in technology, research, and developing AI domains, as well as advanced studies such as a Master's degree in AI, Data Science, or a related topic.

B.Sc. in Robotics and Artificial Intelligence is a 3-year undergraduate degree that teaches the basics and applications of robotics, machine learning, and AI technology. This course integrates theoretical knowledge with hands-on experience in programming, control systems, machine vision, and robotic design. Students learn about embedded systems, neural networks, natural language processing, and human-robot interaction. The curriculum trains graduates for positions in automation, autonomous systems, and AI-powered industries, with applications in healthcare, manufacturing, and aerospace. Graduates learn how to create intelligent systems and technologies capable of performing activities that previously required human intelligence.