Bachelor of Management Honours in Business Analytics

Entry Requirements

  • Three (03) passes at GCE Advanced Level examination
    Equivalent qualification for international students

8 (4 Years)

KIU serves globally and takes a keen interest in the Business Analytics related needs of the local and global markets. The sole aim of KIU is to produce professionals in Business Analytics with knowledge and hands-on experience. This degree programme consists of a high academic caliber incorporated with novel features in the relevant disciplines with hands-on experience, required skills, and research, which are essential requirements of the technology field.

Business Analytics is a “process of transforming data into actions through analysis and insights in the context of organizational decision-making and problem-solving. Business analytics takes a data-driven approach to the world of business, using statistics and data modeling to develop new business insights. This blend of technology and business makes it an ideal study option for anyone with an interest in programming or working with big data. Students will be trained in data analysis and business intelligence tools, so they will be able to do predictive modeling as well.

The curricula of this degree programme have been designed and developed in accordance with national and international standards. BMHons (Business Analytics) degree programme is offered with 120 credits achieving  Level 6  of the Sri Lanka Qualification Framework (SLQF).

Career Opportunities

The career opportunities for Business Analytics graduates are enormous and  can employ in industries including ICT, utilities, FMCG, production and manufacturing, services, government, banking & finance, BPO, and BPM, and healthcare) and at any functional unit such as finance, marketing, HR, supply chain, manufacturing, and production.

The possible career opportunities are Architect Data Warehousing, Analytics Business Analyst, Business Analytics Engineer, Business Analytics Systems, and Administrator. The depth and breadth of knowledge in this area of study are increasingly attractive to employers and would lead to many career opportunities.



Year One

Semester One

  • Business Statistics I
  • Business Mathematics I
  • Programming Fundamentals
  • Introduction to Accounting
  • Microeconomics
  • Business Communication Skills I

Semester Two

  • Business Mathematics II
  • Business Statistics II
  • Macroeconomics
  • Principles of Management
  • Data Structures & Algorithms
  • Business Communication Skills II

Year Two

Semester Three

  • Business Mathematics III
  • Econometrics
  • Financial Management
  • Database Management
  • Organizational Behaviour

Semester Four

  • Operations Research I
  • Corporate Finance
  • Operations Management
  • Data Visualization
  • System Analysis & Design
  • Technical & Academic Writing

Year Three

Semester Five

  • Operations Research II
  • Machine Learning – I
  • Principles of Marketing
  • Enterprise Resource Planning
  • Business Process Management

Semester Six

  • Machine Learning II
  • Supply Chain Management
  • Project Management
  • Human Resource Management
  • Financial Modelling
  • Business Application Development

Year Four

Semester Seven

  • Research Methods
  • Advanced Database Management
  • Investment & Portfolio Management
  • Strategic Management
  • Business Internship

Semester Eight

  • Big Data Technologies
  • Business Process Automations
  • Business Law
  • Data Privacy and Ethics
  • Research Project