This curriculum is aimed to teach students the fundamentals of computer science and data analytics. It also teaches computational methods for engineering and problem-solving. Students will get the chance to study principles, tools, and approaches for modelling, analysing, and discovering usable information for a variety of real-world challenges. They are also urged to provide solutions that use appropriate data visualisation approaches to aid decision-making. This programme focuses on teaching students statistical abilities, mathematical reasoning, machine learning, knowledge discovery, and visualisation. The emphasis is on holistic learning and empowering students to contribute meaningfully at all levels. The course will be taught using the most up-to-date technologies in the field.The course will be conducted using the most up-to-date tools in the field of Data Science.
Candidates will gain knowledge of Data Science hardware and software principles, as well as data visualisation, Big data analytics, Business analytics, Machine Learning, and many other topics. Laboratories that are state-of-the-art and equipped with cutting-edge technology to fulfil industry demands. Trainings, workshops, seminars, webinars, and industrial visits specifically in the topic of Data Science provide practical knowledge and industry experience.
The career scope includes jobs such as Data Scientist, Data Engineer, Data Architect, Data Analyst in public and private sectors, financial services, retail/wholesale/e-commerce, IoT and healthcare industries.
Passed 10+2 examination