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.

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.

A Bachelor of Science (B.Sc.) in Information Technology is normally a 3-4 year undergraduate curriculum that provides students with fundamental knowledge of computer systems, software development, networking, and data management. The curriculum includes programming languages, database administration, cybersecurity, and IT project management. Practical laboratories and projects provide students with hands-on experience that prepares them for employment in software development, network administration, IT consulting, and systems analysis. This degree offers a solid foundation for a variety of IT positions in today's technology-driven companies.

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 (B.Sc.) in Data Science and Analytics is a 3 year undergraduate program that equips students with skills in data collection, analysis, and interpretation. The course covers subjects such as statistics, machine learning, big data, data visualization, data mining, and programming languages like Python and R. Students learn how to analyze complex datasets, make data-driven decisions, and apply analytical techniques across various sectors, including healthcare, finance, and business. The program includes hands-on training, internships, and projects. Graduates can pursue careers as data scientists, analysts, or researchers in industries, government agencies, and tech companies.

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