B.Com. Business Analytics - Kristu Jayanti University

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About the Programme

The B.Com Business Analytics programme is a contemporary undergraduate degree that integrates a strong foundation in commerce and business education with advanced analytical capabilities. The programme develops graduates who can leverage data, technology, and analytical methodologies to address complex business challenges and support evidence-based decision-making.

With IoA-UK accreditation, the programme offers an industry-relevant curriculum that integrates core business fundamentals with emerging areas of business analytics. Students develop competencies in data management, statistical analysis, data visualisation, predictive analytics, and data-driven decision-making, enabling them to interpret complex datasets and translate analytical insights into meaningful business outcomes.

The programme emphasises the application of analytical tools and techniques to real-world business contexts, equipping students with the interdisciplinary knowledge, technical proficiency, and strategic perspective required to navigate an increasingly data-driven business environment.

Accreditation and Industry Relevance

The programme is accredited by the Institute of Analytics, UK (IoA-UK), which validates the curriculum and aligns it with global standards in analytics, lending the qualification international credibility and industry recognition.

Industry 4.0 Readiness

The curriculum is designed in line with the requirements of Industry 4.0, preparing students for the digital economy with the skills demanded by today’s data-driven business environment.

NEP-Aligned Pathway

Three-year B.Com degree with the option to continue into the fourth year and earn a B.Com Honours degree under NEP 2020.

B.Com. Business Analytics students
CAREER PATHWAYS

Future Careers

Career Roles

Business Analyst
Data Analyst
Financial Analyst
Marketing Analyst
Data Scientist
Business Intelligence Consultant
Analytics Manager
Forecasting Specialist
Data Engineer
AI/ML Specialist
Decision Science Analyst
Quantitative Analyst

Employment Sectors

Analytics and Consulting Firms
Banks and Financial Institutions
Technology and IT Services
E-commerce and Retail
Multinational Corporations
Marketing and Media Agencies
Healthcare Analytics
Start-ups and Product Companies
Shared Services and GCCs
Government and Public Sector
FOR A COMPLETE ACADEMIC PICTURE

Programme At a Glance

A four-year B.Com. pathway integrating advanced analytics with commerce for data-driven business careers.

Programme: Bachelor of Commerce

Specialisation: Business Analytics

Duration: 4 Years (with optional B.Com Honours pathway under NEP 2020)

Mode: Full-Time Undergraduate Programme

Academic Focus: Data analysis, visualisation, predictive modelling, AI applications and core commerce

Certifications: Multiple industry-relevant analytics and technology certifications included

SKILLS & CERTIFICATIONS

Papers & Certifications Integrated

Analytics papers and industry certifications built into the four-year curriculum to strengthen technical and business skills.

Business Analytics Papers

Analytics for Business Decisions
Business Intelligence and Data Visualisation
Marketing Analytics
Financial Analytics
Data Analytics in Accounting
Data Visualisation using Power BI
HR Analytics
Business Forecasting

Certifications Included

Python Programming
Statistics with R
Structured Query Language (SQL)
SAS and Tableau
Big Data Analytics
Social Media Analytics
Natural Language Processing (NLP)
Machine Learning and Artificial Intelligence

Eight additional certifications are included in the four-year curriculum.

CHECK IF YOU QUALIFY

Eligibility Criteria

Review the mandatory academic qualifications and minimum score criteria required for admission.

Candidates who have completed Higher Secondary (10+2 / PUC) or equivalent are eligible.

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LEARNING OBJECTIVES

Programme Specific Outcomes (PSOs)

Targeted competencies and practical mastery achieved by graduates throughout their academic journey.

PSO1: Training with industry-standard analytics tools and platforms used in real business environments.

PSO2: Real-world projects with live datasets from partner organisations and capstone end-to-end solutions.

PSO3: Exposure to predictive modelling, prescriptive analytics and data visualisation techniques.

PSO4: Skill development from basic programming to advanced AI, ML, big data and cloud platforms.

PSO5: Focus on both technical competencies and business acumen, including data storytelling and insight communication.

PSO6: Mentorship, internships and preparation for careers in data science, business intelligence and analytics firms.

YOUR PATH TO SUCCESS

Why to Choose This Programme?

Key strengths, experiential learning, and strategic career advantages offered by the programme.

Big data and artificial intelligence are reshaping how organisations make decisions. Graduates who can turn complex datasets into clear business insights are in strong demand across finance, consulting, technology and strategic management.

The B.Com. Business Analytics programme combines core commerce education with advanced analytics coursework and industry certifications. Students build progressive technical skills while developing the business judgment needed for data-driven roles.

Choosing this programme enables students to:

  • Eight additional certifications are included in the four-year curriculum.
  • Hands-on training with industry-standard analytics tools and platforms.
  • Real-world projects with live datasets from partner organisations.
  • Exposure to predictive modelling, prescriptive analytics, and data visualisation techniques.
  • Preparation for careers in data science and business intelligence.
  • Training in statistical analysis, machine learning algorithms, and big data technologies.
  • Progressive skill development from basic programming to advanced AI applications.
  • Capstone project involving end-to-end analytics solution development.
  • Industry mentorship and internship opportunities in analytics firms.
  • Access to cloud computing platforms and advanced analytics software.
  • Focus on both technical competencies and business acumen.
  • Training in data storytelling and communicating insights effectively.

With integrated papers, certifications and applied projects, the programme prepares graduates for analytics and intelligence careers in a data-driven economy.