School of Computer Application

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 Computer Applications (BCA) in Data Science is an undergraduate degree program that integrates fundamental computer science ideas with advanced data science skills. This 3-year curriculum provides students with a solid foundation in programming, database management, and statistical analysis, as well as advanced data science topics including machine learning, data visualization, and big data analytics. This program helps to  learn how to acquire, process, and analyze huge datasets, extract useful insights, and make data-driven decisions. Hands-on projects and internships are frequently included in the curriculum to provide students with actual experience applying data science concepts to real-world challenges. 

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.

B.Sc. Hons. in Computer Science is normally a 3-4 year undergraduate curriculum that offers students a solid foundation in computer science and its applications. The curriculum includes fundamental topics such as programming languages, algorithms, data structures, software engineering, database management, computer networks, and artificial intelligence. Students concentrate on theoretical courses and practical projects to improve their critical thinking and problem-solving skills. Internships, research projects, and specializations in fields such as cybersecurity, machine learning, and web development are frequently available through the curriculum. Graduates are well-prepared for positions in software development, IT consulting, data analysis, and advanced computer science education. This degree equips students with the information and abilities required to succeed in the fast-expanding technology industry.

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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