School of Computer Application

Bachelor of Science in Artificial Intelligence and Machine Learning is a 3-4 year undergraduate degree that provides a solid foundation in AI technology, machine learning methods, and data science concepts. The course blends theoretical knowledge with hands-on experience in topics like as neural networks, deep learning, natural language processing, and computer vision. Students also learn basic programming skills, AI mathematics, and data analytics, with projects and internships to help them comprehend things practically. Graduates are equipped for professions in technology, research, and developing AI domains, as well as advanced studies such as a Master's degree in AI, Data Science, or a related topic.

B.Sc. Hons. in Artificial Intelligence is a specialized undergraduate program that typically spans 3 - 4  years, designed to equip students with in-depth knowledge and skills in AI, machine learning, deep learning, data science, and robotics. The course focuses on developing both theoretical foundations and practical applications of AI technologies, enabling students to analyze and solve complex problems using AI techniques. Key subjects include algorithms, programming languages, neural networks, computer vision, and natural language processing. Along with core coursework, students often engage in practical projects, internships, and research opportunities. Graduates of the program are well-prepared for careers in tech companies, research organizations, and industries adopting AI-driven innovations, offering them roles in data analysis, software development, and AI engineering.

 M.Sc. Hons. in Artificial Intelligence is a specialized postgraduate program designed to equip students with advanced knowledge and skills in AI, machine learning, data analytics, and robotics. Typically spanning 2 years, this course delves into areas such as deep learning, natural language processing, computer vision, and AI ethics. Students will engage in both theoretical learning and practical applications, preparing them for careers in research, technology development, and AI-driven industries. The curriculum includes hands-on projects, industry internships, and the opportunity to work on cutting-edge AI technologies. Graduates of this program are well-positioned to pursue roles as AI engineers, data scientists, or AI researchers in various sectors, including healthcare, finance, and autonomous systems.

B.Sc. (Hons.) in Data Science is a 3-year undergraduate program that provides a strong foundation in data analysis, machine learning, statistical methods, and computational techniques. The course is designed to equip students with the skills to process, analyze, and interpret complex data sets for decision-making and problem-solving. Core subjects include programming, big data analytics, predictive modeling, data visualization, and database management. The program integrates hands-on experience through projects, internships, and industry-standard tools and technologies. Graduates are well-prepared for careers in data science, business analytics, artificial intelligence, and related fields, with opportunities in finance, healthcare, technology, and consulting, or for further academic pursuits in data-focused domains.

M.Sc. (Hons.) in Data Science is a 2-year postgraduate program designed to equip students with advanced skills in data analysis, machine learning, statistics, and data visualization. The course covers key topics such as data mining, predictive analytics, big data technologies, programming languages (like Python and R), artificial intelligence, and database management. Students learn to work with large datasets, extract meaningful insights, and make data-driven decisions across various sectors including business, healthcare, and technology. The program combines theoretical learning with practical experience through projects, case studies, and internships. Graduates are prepared for roles in data analytics, machine learning, data engineering, and research, in industries ranging from tech companies to financial institutions, contributing to the growing demand for data science professionals.