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.

BCA in Big Data Analytics is a 3-year undergraduate program designed to equip students with the skills to analyze and interpret large datasets. The course covers core areas such as data mining, machine learning, statistical analysis, data visualization, and big data tools like Hadoop, Spark, and NoSQL databases. Students acquire practical experience in programming languages such as Python, R, and SQL, learning to manage and analyze complex data for decision-making in various industries like healthcare, finance, and marketing. The program integrates both theoretical learning and practical exposure through projects and internships, helping students develop a deep understanding of data management and analytics techniques. Graduates can pursue careers as data analysts, data scientists, business intelligence analysts, or further studies in data science and analytics.

B.Sc. in Computational Statistics and Data Analytics is typically a 3-year undergraduate program that blends statistical theory, data analysis techniques, and computational methods. The course focuses on data manipulation, statistical modeling, machine learning, and programming using languages such as Python, R, and SQL. Students also explore topics like data visualization, big data analytics, probability theory, and algorithms. The curriculum is designed to equip students with the skills necessary for analyzing large datasets and solving complex problems in various industries like finance, healthcare, technology, and research. Graduates can pursue careers as data analysts, statisticians, or data scientists.

M.Sc. in Computational Statistics and Data Analytics is a 2-year postgraduate program designed to equip students with advanced skills in statistical analysis, data modeling, and computational techniques. The course covers topics such as statistical theory, machine learning, data mining, data visualization, and programming languages like Python and R. Students learn to analyze large datasets, build predictive models, and apply statistical methods to real-world problems. The program often includes practical training through projects, internships, or research. Graduates are prepared for careers in industries like finance, healthcare, technology, and research, where data-driven decision-making is essential.