ONLINE BBA
Eligibility:
Pass in an Undergraduate (Bachelor) Program of a minimum duration of three (3) years in any stream from a UGC Recognized University, with a minimum aggregate of 50% or an equivalent letter/numerical grade. A relaxation of 5% shall be given to SC/ST candidates.
Key Features:
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This elective accredited by the Institute of Analytics (IoA), UK in Business Intelligence and Analytics will prepare the students to thrive in a data-oriented business world. This elective enables students to develop advanced technical and analytical skills to leverage Business Intelligence and Machine learning in business. The students will be exposed to different strategic implications of applying Business Intelligence and Analytical techniques to support the decision-making process in an organization. Students will learn and practically implement programming languages and technology applications to develop analysis and solutions to address the needs of an organization and its stakeholders. The curriculum is developed meticulously and trains the students exhaustively in the study of BI and Analytics domains such as Database Systems, Machine Learning, Python, R, Web Data Extraction and Analytics, Business Intelligence Reporting and Dashboarding, etc. Industry aligned curriculum that delivers technical excellence and supplements professional skills. Analyze problems and propose actions in real-world situations as part of the master thesis. |
Dedicated learner support team to answer all queries. Academic mentorship to give expert advice on a wide range of academic topics. Totally Online Admission Process including uploading of eligibility documents. Multiple fee payment options, including no-cost EMI from Fee Financing companies. Access to industry reports on ‘Linkedin Insights’ and regular webinars from industry professionals on job-market insights. e-hire portal to apply for relevant jobs and attend interviews online. |
Curriculum:
| SEMESTER 1 | Principles of Economics and Markets Managerial Effectiveness and Ethics Accounting and Finance Organizational Behavior and Human Resources Management Quantitative Techniques and Analytics |
| SEMESTER 2 | Entrepreneurship Marketing Management and Research Analytics Language for Managers DBMS for Managers Mathematical Foundation for Machine Learning |
| SEMESTER 3 | Business Environment and Strategy Operations Management Introduction to Business Intelligence Data Warehousing Data Mining for Intelligence Open Elective Course |
| SEMESTER 4 | Analytics in Management Web Data Extraction and Analytics Anomaly Detection Techniques BI Reporting for Managers Cross-functional Elective Course Master Thesis / Project |
Fee Details:
Full Fee: Rs. 180000.00
Fee per year: Rs. 90000.00
Fee per semester: Rs. 45000.00
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