DU SOL’s online BCA in Data Science and Big Data Analytics is a three-year undergraduate degree program designed to give students a thorough grasp of data science and big data analytics. The curriculum teaches students to utilise numerous tools and strategies to extract, analyse, and understand complex data. Topics covered in the curriculum include computer languages, data mining, machine learning, statistical analysis, and data visualisation. Because the program is given online, students may access course materials, lectures, and assignments from any location at any time. Alums of the program can work in sectors such as data analysis, business intelligence, data engineering, and data science.
The program fee ranges from INR 1,60,000 to INR 2,00,000, and the admission process typically involves meeting the eligibility criteria and completing the application and admission requirements.
Data Science and Big Data Analytics is a field of study that deals with collecting, storing, analysing, and processing large amounts of data. Data Science is known as ‘Data Mining’ or ‘Knowledge Discovery in Databases’ (KDD).
- BCA in Data Science and Big Data Analytics is a 3-year undergraduate program.
- The program fee ranges from INR 1,60,000 to INR 2,00,000.
- To be eligible, students must have completed their HSC/12th class or equivalent education from a recognised board.
- The program focuses on teaching students how to analyse complex data and use various tools and techniques to interpret it.
- The curriculum includes programming languages, data mining, machine learning, statistical analysis, and data visualisation.
- The program is delivered online, providing students with flexibility and convenience.
- Students are given internship opportunities to gain hands-on experience.
- Placement assistance is provided to students to help them connect with potential employers.
- The curriculum is divided into six semesters over three years.
- Graduates can pursue career opportunities in various fields, such as data analysis, business intelligence, data engineering, and data science.