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The BBA in Business Analytics prepares students to make data-driven business decisions by integrating core management principles with business analytics, statistics, business intelligence, predictive analytics and data visualisation. The programme enables students to transform business data into meaningful insights and apply analytical techniques across functional areas such as finance, marketing, human resources, operations and strategy.
It also develops analytical reasoning, problem-solving, technological proficiency, ethical decision-making, communication and research capabilities required for the evolving business environment. The BBA is a three year degree programme, with an optional 4th Year leading to BBA Honours under NEP 2020.
Develops the ability to analyse business data, identify patterns and generate actionable insights to support managerial decision-making.
Provides exposure to spreadsheets, business intelligence, Power BI, data visualisation, business simulation, digital transformation, machine learning, big data and cloud computing.
Integrates practical learning through case studies, simulations, internships, projects, industry interaction and research-oriented activities.
A structured four-year NEP honours pathway building analytical, managerial and data-driven decision-making competencies.
Programme Title: Bachelor of Business Administration – Business Analytics
Specialization: Business Analytics
Duration: 3 Years / Optional 4th Year – BBA Honours under NEP 2020
Study Mode: Full-Time
Core Academic Focus Areas: Business Management, Business Analytics, Business Intelligence, Statistics, Financial Analytics, Marketing Analytics, Human Resource Analytics, Business Forecasting, Data Visualisation, Business Simulation, Digital Transformation, Machine Learning, Big Data and Cloud Computing
Practicals: Advanced Spreadsheet Analysis, Data Visualisation using Power BI, Business Simulation and Decision Modelling, Internship, Research Project and Dissertation
Learning Pathway: Business Foundations, Business Analytics & Statistics, Business Intelligence, Functional Analytics, Advanced Analytics & Visualisation, Digital Transformation, Machine Learning, Big Data & Cloud Computing, Internship and Research
Bachelor of Business Administration – Business Analytics — Semester-wise course matrix.
Review the mandatory academic qualifications and minimum score criteria required for admission.
For the UG programmes offered by the Department of Professional Management Studies, candidates must have passed Higher Secondary (10+2 / PUC) or an equivalent examination, with the programme-specific subject requirements where applicable.
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Find Programmes by InterestTargeted competencies and practical mastery achieved by graduates throughout their academic journey.
PSO1: Demonstrate knowledge of organizational behaviour, business accounting, business analytics, and business laws.
PSO2: Apply principles of finance, marketing, human resource, quantitative techniques, and business analytics tools to analyse business processes and make data-driven decisions.
PSO3: Evaluate business problems using data analysis, predictive modelling, and business intelligence tools to propose strategic solutions.
PSO4: Formulate ethical and systematic research in Business and Management.
Key strengths, experiential learning, and strategic career advantages offered by the programme.
In modern business ecosystems, organizations rely heavily on data intelligence to drive strategy, optimize operational efficiency, and identify market opportunities. The corporate world requires professionals who can bridge the gap between technical data science and executive business leadership.
The BBA in Business Analytics at Kristu Jayanti University blends foundational business administration with advanced data analytics, predictive modeling, statistical tools, and business intelligence suites.
Choosing this programme enables students to:
Through practical learning, industry certifications, and corporate internships, graduates possess the analytical capabilities and managerial confidence to lead digital transformation in diverse business sectors.