School of Computer Application

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. 

The Bachelor of Computer Applications (BCA) in Cyber Security is a 3-year undergraduate degree that offers a thorough education in information security, network defense, and cybercrime prevention. The program includes topics including cryptography, ethical hacking, digital forensics, security management, and new cyber threats. Lab sessions, industry projects, and internships provide students with hands-on experience to build practical skills in digital system security and sensitive data protection. The curriculum also trains graduates to earn industry-recognized cybersecurity certifications. Students who complete the program are offered a BCA degree, which qualifies them for a variety of professions such as cybersecurity analysts, penetration testers, security administrators, and information security professionals across a variety of businesses.

Master of Computer Applications (MCA) in Cyber Security is a 2-year postgraduate degree that teaches advanced information security, network defense, and cybercrime prevention. The program includes topics including cryptography, ethical hacking, digital forensics, security management, and new cyber threats. Lab sessions, industrial projects, and internships provide students with hands-on experience to build practical skills in digital system security, sensitive data protection, and security incident response. The curriculum also trains graduates to earn industry-recognized cybersecurity certifications. Students who successfully complete the program are offered an MCA degree, which qualifies them for a variety of professions such as cybersecurity analysts, penetration testers, security architects, and information security managers in various sectors.

 Bachelor of Computer Applications (BCA) in Cloud Computing is a 3-year undergraduate program that provides a comprehensive education in cloud infrastructure, platform services, software deployment, and cloud-based application development. The curriculum covers topics such as virtualization, cloud architecture, data storage, security, and DevOps practices. Students gain hands-on experience through lab sessions, cloud-based projects, and industry internships to develop practical skills in designing, implementing, and managing cloud computing solutions. The program also prepares graduates for industry-recognized certifications in cloud technologies. Upon successful completion, students are awarded a BCA degree that equips them for diverse roles as cloud administrators, cloud engineers, cloud developers, and cloud solutions architects across various industries.

Master of Computer Applications (MCA) in Cloud Computing is a 2-year postgraduate program that provides advanced training in cloud infrastructure, platform services, software deployment, and cloud-based application development. The curriculum covers topics such as cloud architecture, virtualization, data storage, security, and DevOps practices. Students gain hands-on experience through project-based learning, industry collaborations, and internships to develop practical skills in designing, implementing, and managing complex cloud computing solutions. The program also prepares graduates for industry-recognized certifications in cloud technologies. Upon successful completion, students are awarded an MCA degree that equips them for diverse roles as cloud architects, cloud engineers, cloud developers, and cloud solutions consultants across various industries undergoing digital transformation.

MCA in Artificial Intelligence and Deep Learning is a specialized postgraduate program designed to equip students with advanced skills in AI and machine learning technologies. Typically spanning 3 years, this course focuses on the theoretical foundations and practical applications of AI, deep learning, data analytics, neural networks, and natural language processing. Students learn to develop intelligent systems, apply deep learning techniques to solve complex problems, and work with cutting-edge tools in the field. The curriculum includes subjects like machine learning, Python programming, data mining, and AI ethics, along with hands-on projects and internships. Graduates of this program are prepared for careers as AI engineers, data scientists, machine learning researchers, and developers in industries ranging from healthcare to finance and technology.

 BCA in Artificial Intelligence and Deep Learning is a specialized undergraduate program designed to equip students with a strong foundation in computer science, AI, and deep learning techniques. The course typically spans 3 years, divided into six semesters, and covers key areas like machine learning, data analytics, neural networks, natural language processing, and computer vision. Students will learn to build AI-based applications, implement algorithms, and understand the underlying mathematical concepts. Practical training through projects, internships, and workshops ensures hands-on experience, preparing graduates for careers in AI, software development, and data science. This course is ideal for those seeking to explore cutting-edge technologies and contribute to the rapidly growing field of AI and deep learning.

BCA in Artificial Intelligence and Machine Learning is a 3-year undergraduate program designed to provide students with a strong foundation in computer science, AI, and machine learning technologies. The course covers topics such as programming languages, data structures, algorithms, data science, neural networks, natural language processing, and deep learning. Students acquire practical experience with AI tools and platforms, learning to build intelligent systems and models that can analyze data, predict outcomes, and solve real-world problems. The program combines theoretical knowledge with practical applications through projects, labs, and internships. Graduates are equipped to pursue careers in AI development, data science, software engineering, and machine learning, working in various sectors like technology, healthcare, finance, and automation.