School of Computer Application

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.

A PG Diploma in Artificial Intelligence (AI) is a specialized program designed to equip students with advanced knowledge and practical skills in AI technologies, machine learning, data science, and robotics. The course typically spans 6 -12 months, depending on the institution and format (full-time or part-time). During this duration, students delve into topics such as deep learning, natural language processing, AI ethics, computer vision, and neural networks. The curriculum blends theoretical concepts with hands-on experience, offering real-world projects and industry exposure. Graduates of this program are well-prepared to pursue careers in AI, data analysis, software development, and automation, in sectors like healthcare, finance, and technology. It is ideal for professionals aiming to transition into AI-related roles or enhance their existing skill sets.

 B.Sc. (Hons.) in Information Technology is a  3-year undergraduate program designed to equip students with comprehensive knowledge of IT systems, software development, and emerging technologies. The curriculum includes core subjects such as programming, data structures, web development, database management, networking, cybersecurity, and artificial intelligence. Students acquire practi experience through practical labs, real-world projects, and internships. The program also emphasizes problem-solving, critical thinking, and communication skills, preparing students for dynamic roles in the IT industry. Graduates can pursue careers as software developers, data analysts, IT consultants, system administrators, or network engineers. With opportunities in both the private and public sectors, this degree offers a strong foundation for those aiming to excel in the ever-evolving tech landscape.

Postgraduate Diploma in Data Science is typically a 1-year program designed to equip students with the essential skills in data analysis, machine learning, statistics, and programming. The course focuses on various aspects of data science, including data manipulation, data visualization, predictive modeling, and algorithm development. Students learn to work with tools such as Python, R, SQL, and Tableau, and acquire experience in big data technologies like Hadoop and Spark. The curriculum also emphasizes real-world applications in fields like business analytics, healthcare, finance, and marketing. With a combination of theory and practical learning, students are prepared for roles such as data analyst, data scientist, and machine learning engineer. The diploma opens doors to various industries that rely on data-driven decision-making.

A Postgraduate Diploma in Machine Learning is a specialized program designed to equip students with advanced knowledge and practical skills in machine learning and artificial intelligence. The course typically lasts 6 -12 months and covers core topics such as supervised and unsupervised learning, deep learning, neural networks, natural language processing, and reinforcement learning. Students will also learn about data preprocessing, algorithm optimization, and model evaluation. The program often involves hands-on projects, case studies, and the use of popular programming languages like Python and R. Upon completion, graduates can pursue careers as machine learning engineers, data scientists, AI specialists, and researchers. This diploma is ideal for individuals with a background in computer science, engineering, or related fields.

A Diploma in Machine Learning is a specialized program designed to equip students with practical and theoretical knowledge in the field of machine learning, artificial intelligence (AI), and data science. Typically spanning 6 -12 months, this course covers topics such as supervised and unsupervised learning, neural networks, deep learning, natural language processing, and data analysis. Students will learn programming languages like Python, and R, and tools such as TensorFlow, Keras, and Scikit-learn to develop and implement machine learning algorithms. The program is ideal for individuals seeking to enhance their skills in data-driven decision-making, predictive modeling, and automation. Graduates can pursue careers as machine learning engineers, data scientists, AI specialists, or analysts in various industries including technology, healthcare, finance, and marketing.

A Diploma in Artificial Intelligence (AI) is typically a 1-2 year program designed for students and professionals seeking to specialize in AI and machine learning. This course provides foundational knowledge in computer science, programming, and mathematical concepts essential for AI development. Key topics include algorithms, neural networks, natural language processing, robotics, data analytics, and deep learning. Practical skills are developed through hands-on projects and real-world applications of AI technologies. Graduates of this diploma program can pursue careers in diverse industries such as healthcare, finance, automation, and data science, working as AI specialists, machine learning engineers, or data analysts. The program equips students with the skills needed to innovate and excel in the rapidly growing field of artificial intelligence.