School of Computer Application

Bachelor of Science in Game Design & Development is typically a 3-4 year undergraduate program that equips students with the skills to create interactive digital experiences. The curriculum blends creative and technical aspects, covering topics such as game programming, 3D modeling, animation, level design, and game engine development. Students learn industry-standard software and gain hands-on experience through project-based coursework. The program often includes courses in computer science, mathematics, and art, providing a well-rounded foundation. Graduates are prepared for careers in the gaming industry, including roles as game designers, developers, programmers, or 3D artists. Many programs also offer internship opportunities and portfolio development to enhance job prospects.

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 Game Design & Development is typically a 1-2 year postgraduate program that equips students with advanced skills in creating interactive digital experiences. The curriculum blends technical proficiency with creative design, covering topics such as game mechanics, level design, 3D modeling, animation, programming, and project management. Students often work on collaborative projects, mirroring industry practices, and may specialize in areas like mobile gaming, virtual reality, or serious games. The program usually culminates in a capstone project or thesis. Graduates are prepared for roles in game studios, tech companies, or as independent developers. Some programs offer internships or industry partnerships to enhance practical experience and job prospects.

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.

 B.Sc. Hons. in Cyber Security is a specialized undergraduate program designed to provide students with the knowledge and skills needed to protect digital systems and data from cyber threats. The course typically lasts for 3-4  years, depending on the institution. It covers a wide range of topics, including network security, ethical hacking, cryptography, cyber law, digital forensics, and risk management. Students gain hands-on experience with the latest security tools and techniques while learning to design secure networks, identify vulnerabilities, and respond to cyber incidents. Graduates of the program are well-equipped to pursue careers in IT security, network administration, and cyber threat analysis in both private and public sectors.

M.Sc. Hons. in Cyber Security is a specialized postgraduate program designed to equip students with advanced knowledge and practical skills to protect digital systems and networks. Spanning typically 2 years, this course delves into topics such as network security, ethical hacking, cryptography, cyber law, and risk management. Students gain a deep understanding of modern cybersecurity challenges, including the protection of sensitive data and the prevention of cyberattacks. The program emphasizes both theoretical foundations and hands-on experience through labs, real-world projects, and industry internships. Graduates are prepared for roles such as cybersecurity analysts, network security engineers, and ethical hackers, with expertise in defending against increasingly sophisticated cyber threats in various sectors.

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.

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.

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.

BCA in Computer Networks is a 3-year undergraduate program designed to provide students with a deep understanding of computer networking, network security, and communication protocols. The course covers topics such as network design, TCP/IP, routing, wireless communication, data communication, network administration, and cybersecurity. Students learn both theoretical concepts and practical skills related to setting up and maintaining computer networks, troubleshooting, and ensuring data security. The program includes hands-on experience through labs, projects, and internships, where students work with industry-standard tools and technologies. Graduates of this program are well-prepared to pursue careers as network administrators, network engineers, security analysts, or IT consultants in various sectors, including telecom, IT services, and network management.

MCA in Computer Networks is a 3-year postgraduate program designed for students who wish to specialize in the design, implementation, and management of computer networks. The course covers core topics such as networking protocols, network security, data communication, wireless networks, network administration, and cloud computing. Students gain practical knowledge in configuring and troubleshooting networks, as well as understanding the fundamentals of network architecture and system administration. The program integrates both theoretical concepts and hands-on training through projects, workshops, and internships. Graduates of the program are well-equipped to work in roles such as network administrator, network engineer, security analyst, or network consultant. The demand for experts in computer networks continues to grow across industries such as IT, telecommunications, and cybersecurity.

B.Sc. (Hons.) in Cloud Computing is a 3-year undergraduate program designed to equip students with the knowledge and skills necessary to excel in the rapidly evolving field of cloud technology. The course covers key areas such as cloud architecture, cloud security, virtualization, data management, and cloud infrastructure. Students learn to design, implement, and manage cloud-based applications, as well as handle the complexities of cloud services, storage, and computing models. The program emphasizes hands-on experience through practical labs, projects, and internships, allowing students to develop technical expertise in popular cloud platforms like AWS, Microsoft Azure, and Google Cloud. Graduates can pursue careers as cloud engineers, system architects, data analysts, or work in cloud services and IT infrastructure management in various industries.

M.Sc. (Hons.) in Cloud Computing is a 2-year postgraduate program that focuses on the design, development, and management of cloud-based technologies and services. The course covers key topics such as cloud architecture, virtualization, cloud storage, distributed computing, big data analytics, cybersecurity, and cloud infrastructure. Students gain expertise in popular cloud platforms like AWS, Azure, and Google Cloud, and are trained to solve real-world problems using cloud technologies. The program blends theoretical knowledge with practical skills through hands-on projects, research, and internships. Graduates are equipped for roles such as cloud engineers, system administrators, cloud architects, and IT consultants, with opportunities in industries like IT, finance, healthcare, and e-commerce, where cloud computing solutions are increasingly in demand.

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.