School of Computer Application

 M.Sc. in Computer Science is typically a 1.5 to 2-year postgraduate study that focuses on advanced computing ideas. The program includes topics like algorithms, artificial intelligence, machine learning, data science, software engineering, and computer networks. Students focus on coursework, research projects, and, in many cases, a thesis or capstone project. This degree provides graduates with sophisticated problem-solving skills and specialized knowledge, qualifying them for high-level positions in the technology industry or subsequent academic pursuits such as Ph.D. programs.

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 Information Security is a specialized postgraduate program designed to equip students with advanced knowledge and skills in securing information systems. This course typically spans 1 - 2 years, depending on the university and whether it is pursued on a full-time or part-time basis. It covers various aspects of cybersecurity, including cryptography, network security, risk management, ethical hacking, digital forensics, and information security governance. Students learn to identify vulnerabilities, prevent cyber-attacks, and manage security protocols effectively. The program combines theoretical learning with practical applications, often involving industry collaborations and internships. Graduates are well-prepared for roles in cybersecurity, IT security management, and consultancy, and are in high demand across industries due to the growing need for safeguarding digital data and networks.

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.

Bachelor of Computer Applications (BCA) in Emerging Technology is a 3-year undergraduate program designed to equip students with cutting-edge skills in fields like Artificial Intelligence, Machine Learning, Blockchain, Cybersecurity, Cloud Computing, and IoT. This program blends theoretical foundations with hands-on experience, ensuring students develop strong programming, data analytics, and problem-solving abilities. With a curriculum aligned to industry needs, graduates gain expertise in software development, data science, and digital transformation technologies. Career prospects include roles such as AI Engineer, Data Analyst, Cybersecurity Specialist, and Cloud Architect in top tech firms. The course also includes internships, live projects, and industry collaborations, preparing students for high-demand tech careers or further specialization through postgraduate studies.