School of Computer Application

Bachelor of Computer Applications (BCA) in Animation and Multimedia is a 3-year undergraduate degree that offers extensive instruction in 2D and 3D animation, visual effects, motion graphics, and multimedia design. The program includes lessons on animation fundamentals, character design, storyboarding, video editing, sound engineering, and developing multimedia technologies. Lab sessions, project-based learning, and industry internships provide students with hands-on experience to build practical skills in creating engaging visual content for multiple platforms. The curriculum also trains graduates to earn industry-recognized animation and multimedia certifications. Students who complete the program are awarded a BCA degree, preparing them for a variety of professions as 2D/3D animators, motion graphics artists, visual effects specialists, and multimedia designers in industries such as film, television, gaming, advertising, and digital media.

Master of Computer Applications (MCA) in Animation and Multimedia is a 2-year postgraduate program that provides advanced training in 2D and 3D animation, visual effects, motion graphics, and multimedia design. The curriculum covers topics such as animation principles, character design, storyboarding, video editing, sound engineering, and emerging multimedia technologies. Students gain hands-on experience through project-based learning, industry collaborations, and internships to develop practical skills in creating engaging visual content for various platforms. The program also prepares graduates for industry-recognized certifications in animation and multimedia. Upon successful completion, students are awarded an MCA degree that equips them for diverse roles as 3D animators, motion graphics artists, visual effects specialists, and multimedia designers across industries like film, television, gaming, advertising, and digital media.

 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.

Bachelor of Science (B.Sc.) in Data Science is typically a 3-4 year undergraduate program that equips students with the skills to analyze and interpret complex data. The curriculum combines mathematics, statistics, computer science, and domain-specific knowledge. Students learn programming languages like Python and R, database management, machine learning, data visualization, and big data technologies. The program often includes hands-on projects, internships, and a capstone project to apply theoretical concepts to real-world scenarios. Graduates are prepared for careers in various industries, including tech, finance, healthcare, and research. The degree provides a strong foundation for further studies in data science, artificial intelligence, or related fields.

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.

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.

Bachelor of Computer Applications (BCA) in Machine Learning is an undergraduate program designed for students interested in data science, artificial intelligence, and advanced computational techniques. Spanning 3 years, this course covers foundational topics in computer applications alongside specialized modules in machine learning algorithms, programming, and data analytics. Students acquire hands-on experience in Python, R, TensorFlow, and other tools to build predictive models and intelligent systems. The curriculum includes subjects like neural networks, natural language processing, and deep learning, preparing graduates for roles such as AI developers, data scientists, and machine learning engineers. With the growing demand for automation and intelligent systems across industries, a BCA in Machine Learning opens doors to lucrative career opportunities in the tech-driven world.

 MCA in Machine Learning is a specialized postgraduate program designed for aspiring tech professionals who aim to excel in the field of artificial intelligence and data-driven technologies. Typically spanning 2 - 3 years, this course combines foundational computer science principles with advanced machine learning concepts, including neural networks, natural language processing, and data analytics. The curriculum often integrates practical projects and internships to provide hands-on experience in solving real-world problems using AI. Graduates of this program are equipped with skills to pursue roles such as Data Scientist, AI Engineer, or Machine Learning Specialist in industries ranging from healthcare to finance. Eligibility usually includes a bachelor's degree in computer science, IT, or a related field, along with a strong analytical aptitude.