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BBA (Analytics and Big Data) - Programming for Analytics
DETAILS
Duration of Program 3 years (6 Semesters)
Seats 50*
*Total Seats in BBA (Analytics and Big Data)
This course introduces the essential general programming concepts and techniques – such as Boolean, numbers, loops, function, debugging, specifics of R and Python – to students without prior programming knowledge. On completion, students will be able to identify the dataset characteristics, select and implement the machine learning techniques, and solve problems having high data dimensions and rapid data generation rate along with scalability issues.
Academic Framework
The foundation of higher learning at UPES since its inception has been to explore and promote areas of learning that are innovative and future focused. This has led to constant evolution in facilitating creative and collaborative learning engagements for students through realignment of curriculum and exploration of virtual tools, and open-source courseware; thereby creating borderless learning and access to limitless information.
The new curriculum framework at UPES, ABLE (Academic Blueprint for Learning Excellence) is holistic in its overall structure and yet focuses on the individual need of the student to discover, experience, explore and challenge. The learning is segmented into core subject studies, core specialism studies, minors/exploratory subjects, and signature and life skills learning. The latter three are offered by the newly-instituted School for Life.
SFL (School for Life) is an intrinsic part of the composite UPES student experience and facilitates learning and education that is a balance between what students want, and what is needed of them as future global citizens and leaders of tomorrow. With courses designed to equip students with lifelong learning skills, a focus on a wide range of contemporary issues, and a mandatory social and professional internship experience that is unique, UPES believes in igniting to inspire the best version within an individual to better the world.
- Placement in IT firms and telecommunication industries
- Market research analyst in Retail sector
- Data scientist/market research analyst in Manufacturing units
- Data scientist/market research analyst in E-commerce firms
- Data scientist in Business Intelligence organizations
- Academic associate roles in IIMs and other B-schools
Minimum 50% marks in Classes X and XII
Personal interview
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