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 modeling, analyzing, and discovering usable information for a variety of real-world challenges. They are also urged to provide solutions that use appropriate data visualization approaches to aid decision-making. This program’s main goal is to teach students statistical abilities, mathematical reasoning, machine learning, knowledge discovery, and visualization. The emphasis is on holistic learning and empowering students to contribute meaningfully at all levels. The course will be conducted using the most up-to-date tools in the field of Data Science.
Data Analyst experts are among the most sought-after professionals in IT sector, with demand for skilled technocrats in that field outpacing other IT jobs by a wide margin. 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 B.C.A/ B.Sc. (Computer Science)/ B.Sc. (IT) / B.E. (CSE)/ B.Tech.(CSE) / B.E. (IT) / B.Tech. (IT) or equivalent Degree.
Passed any graduation degree (e.g.: B.E. / B.Tech. / B.Sc / B.Com. / B.A./ B. Voc./ etc.,) preferably with Mathematics at 10+2 level or at Graduation level Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination. (for students having no Mathematics background compulsory bridge course will be framed by the respective University/ Institution and additional bridge courses norms of the concerned University)