PROGRAMS
BBA - Business Analytics
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Faculty Management
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Department Management Studies
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Duration 6 Semesters (3 Years)
Eligibility Criteria
12th in any stream
Program Overview
BBA in Business Analytics is a three-year undergraduate program that equips students with the skills to analyze data and make informed business decisions.
The program prepares graduates to bridge the gap between business and technology, leveraging data-driven insights for organizational success. Students from one of the top bba in business analytics colleges study introductory topics such as business communication, statistics, and principles of management. They opt for specialized topics like data visualization, predictive analytics, machine learning, big data technologies, and business intelligence. Students gain practical exposure through case studies, internships, and data analysis projects, allowing them to apply their learning to practical situations.
Graduates of BBA in business analytics can take up a wide variety of job roles such as business analysts, data consultants, market researchers, or analytics managers.
Course Curriculum
Programme Educational Objectives (PEOs)
PEO-1
To nurture students as professional with strong foundational knowledge and skills in management. Through contemporary coursework involving practical applications, students learn to effectively solve the complex management problems with ‘Think Global, Act Local’ perspective
PEO-2
To provide adequate basic understanding about Management Education among the students so they exploit opportunities being newly created in the Management Profession and through development of effective communication skills make them competent and provide themselves self-employment (Entrepreneur).
PEO-3
To develop students suitable for absorption into industry in base level managerial positions and also for higher level studies and research in management.
PEO-4
To practice high level of professionalism necessary to deliver the knowledge, expertise and skill of students through the application of research to business problems and issues.
PEO-5
To prepare potential managers by inculcating in them qualities required to occupy top positions in the management hierarchy and equip students with technical proficiency in domestic as well as global.
PEO-5
To provide a global perspective on strategy, organization policies, practices and business functions and understand statutory and regulatory procedures, compliance, documentation that support organization’s global supply chain.
Programme Outcomes (POs)
POs-1
Identify and define problems and opportunities.
POs-2
Demonstrate problem solving skills by gathering and assessing appropriate information.
POs-3
Demonstrate use of appropriate techniques to effectively manage business challenges.
POs-4
Effectively communicate management concepts, plans and decisions in oral and written form.
POs-5
Demonstrate professional conduct within any team activities.
POs-6
Write effective business documents.
POs-7
Understand, prepare and deliver effective oral business presentations using a variety of appropriate technologies.
POs-8
Identify and analyse social responsibility issues involving different stakeholders.
POs-9
Develop viable alternatives and make effective decisions relating to social responsibility.
POs-10
Demonstrate competency in the underlying concepts, theory and tools taught in the core undergraduate curriculum.
POs-11
Devise appropriate strategies for their own ongoing professional development and implementation of these strategies upon successful completion.
POs-12
Engage in independent and life-long learning in the broadest context of business and society.
Career Path
Alumni
Admissions
Faq's
Yes, students work on live projects and case studies to apply data analytics techniques to real-world business problems.
Yes, graduates can pursue an MBA in Business Analytics or a master's in Data Science to advance their careers.
The program focuses on data-driven decision-making, statistical analysis, business intelligence tools, and predictive analytics.
Graduates can work as Data Analysts, Business Intelligence Consultants, Analytics Managers, or Data Scientists in various industries.
Students learn tools like Python, R, Tableau, and Microsoft Power BI for data analysis and visualization.
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Contact
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