School of Computer Application

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.

 Master of Computer Applications (MCA) in Data Analytics is a 2-year postgraduate program that provides advanced training in data collection, processing, analysis, and visualization. The curriculum covers topics such as statistical modeling, machine learning, big data technologies, business intelligence, and data-driven decision-making. Students gain hands-on experience through projects, case studies, and industry internships to develop practical skills in extracting insights from complex data sets and supporting data-driven strategies across various industries. The program also prepares graduates for industry-recognized certifications in data analytics. Upon successful completion, students are awarded an MCA degree that equips them for diverse roles as data scientists, business intelligence analysts, data engineers, and decision support professionals in high-demand sectors like finance, healthcare, e-commerce, and smart manufacturing.

 Master of Computer Applications (MCA) in Cloud Technology is a 2-year postgraduate degree program that teaches advanced cloud computing infrastructure, platform services, software deployment, and cloud-based application development. The program includes topics including cloud architecture, virtualization, data storage, security, and DevOps approaches. Project-based learning, industry collaborations, and internships provide graduates with actual experience in building, implementing, and managing sophisticated cloud computing solutions. The curriculum also trains graduates to acquire industry-recognized cloud technology certifications. Students who successfully complete the program are offered an MCA degree, which prepares them for a variety of professions as cloud architects, cloud engineers, cloud developers, and cloud solutions consultants in various businesses undergoing digital transformation.

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.

MCA in Data Science is a 2-3 year postgraduate program that focuses on the application of data science techniques, machine learning, and big data analytics. The course equips students with advanced skills in programming, statistical analysis, data visualization, data mining, and artificial intelligence. Students learn to analyze large datasets, build predictive models, and gain expertise in tools like Python, R, SQL, and Hadoop. The program also covers subjects such as data warehousing, cloud computing, and data ethics, combining theoretical knowledge with hands-on projects and internships. Graduates are well-prepared to pursue careers as data scientists, machine learning engineers, data analysts, or data engineers in sectors like technology, finance, healthcare, and research, where data-driven decision-making is essential.

MCA in Cybersecurity and Ethical Hacking is a 3-year postgraduate program designed to equip students with the skills needed to protect digital infrastructure and combat cyber threats. The course covers a wide range of topics, including ethical hacking, network security, cryptography, digital forensics, penetration testing, and risk management. Students learn how to identify vulnerabilities in systems, develop secure applications, and implement defense strategies to safeguard against cyberattacks. The program combines theoretical knowledge with practical skills, including hands-on training in security tools and techniques. Graduates are prepared for careers in cybersecurity, ethical hacking, IT security consulting, and digital forensics, working with government agencies, private firms, and multinational corporations to protect data and networks from cyber threats.

MCA in AIML (Artificial Intelligence and Machine Learning) and Data Science is a 2-year postgraduate program that combines advanced computing techniques with data-driven decision-making. The course covers topics such as machine learning algorithms, deep learning, data mining, big data analytics, artificial intelligence, natural language processing, and statistical modeling. Students acquire hands-on experience in data analysis, predictive modeling, and AI-driven solutions, learning to use tools like Python, R, TensorFlow, and Hadoop. The program also emphasizes data visualization, ethical considerations in AI, and real-world applications across industries like healthcare, finance, and technology. Graduates are well-equipped to work as data scientists, AI engineers, or machine learning specialists in a variety of sectors, contributing to innovations in technology and data analysis.

MCA in IoT and Cloud Computing is a 2-3 year postgraduate program designed to equip students with advanced skills in Internet of Things (IoT) technologies and cloud computing. The course combines core subjects such as IoT architecture, cloud infrastructure, data management, sensor networks, big data analytics, and security in IoT systems. Students learn how to design, develop, and deploy IoT applications while understanding the integration of cloud platforms for data storage, computing, and processing. The program also covers programming languages, networking, and system architecture. Practical experience through projects, labs, and internships is emphasized to ensure students are ready for the rapidly growing fields of IoT and cloud computing. Graduates can pursue careers in software development, cloud services, IoT system design, and data analytics across various industries.