BBA Business Analytics

Teacher
St. Peter’s
Category:
Business Analytics

Programme Overview:

Business Analytics refers to a set of disciplines and technologies for solving business problems using data analysis, statistical models and other quantitative methods. Success with business analytics depends on data quality, skilled analysts who understand the technologies and the business, and a commitment to using data to gain insights that inform business decisions.

Hence, the BBA Business Analytics programme was developed by St. Peter’s Institute of Higher Education and Research in collaboration with iNurture Education Solutions to provide a career for students in one of the high-growth potential industry segments. This programme offers students the opportunity to develop skills for the digital economy and advance their careers in analytics.

Programme Objectives:

  • Develop graduates with conceptual and practical skills aimed at the intellectual pursuit of knowledge in the field of Decision Sciences.
  • Develop graduates with a thorough understanding of various analytical functions with an emphasis on Data Science Management.
  • Prepare graduates with exposure to the application of analytical knowledge in strategic decision-making for an organization.

Curriculum*

*Courses are subject to change as per BoS

Semester 1

  • Principles of Management
  • Managerial Economics
  • Business Statistics
  • Accounting for Managers
  • English – I
  • Complex Problem Solving / Digital Literacy

Semester 2

  • Financial Management
  • Marketing Management
  • Human Resource Management
  • Introduction to DBMS and SQL
  • Fundamentals of Business Analytics
  • Foundation Course in Analytics
  • Communicative English
  • Critical Thinking / Multi-Cultural Competence

Semester 3

  • Customer Relationship Management
  • Operations Research
  • Cyber Security & Risk Management
  • CDFP I – Introduction to Financial Intelligence
  • Minor Project Work
  • Financial Mathematics
  • Employability Skills Programme – I
  • Open Elective – I

Semester 4

  • Big Data Analytics & Hadoop
  • Business Research Methods
  • Digital Marketing and Ethical Practices
  • CDFP II – Business Analytics and Architecture
  • Project Work / Simulated Internship
  • Spreadsheet Modelling
  • Employability Skills Programme – II
  • Open Elective – II

Semester 5

  • Artificial Intelligence & Machine Learning
  • Data Visualization with Tableau & Power BI
  • CDFP III – Data Visualization Tools
  • Project Work / Simulated Internship
  • Creativity / Value Inculcation
  • Data Analytics with R
  • Employability Enablement Programme
  • Open Elective – III
  • Foreign Language

Semester 6

  • Predictive Analytics
  • Community Engagement and Service / Analytical Reasoning
  • Communication Skills / Accountability and
  • Responsibility
  • Internship
  • Open Elective – IV

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Enrolled: 4 students
Duration: 3 Years | Full-time