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Undergraduate

Bachelor of Science Honours in Business Analytics

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01

Overview

The Bachelor of Science Honours in Business Analytics programme is designed to develop graduates with strong analytical, computational, and business decision-making skills. The programme integrates statistics, data science, machine learning, economics, and management to prepare students to analyze complex business problems using data-driven approaches. Students gain hands-on experience with analytical tools, programming, and real-world business applications, enabling them to support strategic decision-making in modern organizations.

02

Curriculum

Semester 1

6 modules 15 credits
  • AST1201 Foundation of Statistics Core
  • AST1202 Foundation of Probability Theory Core
  • ABA1301 Management Fundamentals Core
  • ABA1202 Microeconomics Core
  • CCS0300 Programming Fundamentals with Python Core
  • SMA0302 Introductory Calculus Core

Semester 2

7 modules 18 credits
  • SMA1301 Intermediate Calculus Core
  • CSD2301 Business Communication Core
  • AST1303 Probability and Statistical Distributions Core
  • AST1204 Statistical Inference Core
  • AMA1201 Foundation Mathematics Core
  • ABA1203 Macroeconomics Core
  • ABA1304 Financial Management Core

Semester 1

6 modules 14 credits
  • AST2201 Statistics Lab -R package Core
  • AST2302 Statistical Modelling with Regression Analysis Core
  • ABA2301 Feature Engineering for Machine Learning Core
  • ABA2202 Organizational Behaviour Core
  • AMA2201 Applied Linear Algebra Core
  • AMA2202 Mathematical Methods Core

Semester 2

6 modules 16 credits
  • AST2303 Time series and Forecasting Core
  • AST2204 Non - Parametric Techniques Core
  • ABA2303 Introduction to Machine Learning Core
  • ABA2304 Marketing Management Core
  • ABA2305 Human Resources Management Core
  • AMA2203 Modeling and Scientific Computing I Core

Semester 1

7 modules 19 credits
  • ABA3301 Machine Learning for Predictive Data Analysis Core
  • ABA3202 Business Analytics Consulting Core
  • ABA3303 Combinatorial Optimization Core
  • ABA3304 Econometrics Models Core
  • ABA3305 Mathematical Modeling for Business Analytics Core
  • ABA3306 Data Structures and Algorithms Core
  • AMA3201 Modeling & Scientific Computing II Core

Semester 2

5 modules 15 credits
  • ABA3307 Data Visualization for Decision Makers in Business Core
  • ABA3308 Database Management Core
  • ABA3309 Operations and Supply Chain Management Core
  • ABA3310 Business Information System Core
  • ABA3311 Research Methods for Business Analytics Core

Semester 1

7 modules 19 credits
  • ABA4301 Artificial Intelligence Core
  • ABA4302 Big Data Analytics Core
  • ABA4203 Innovation and Technology Core
  • ABA4304 Agent Based Modeling & Statistical Simulation Core
  • ABA4305 Managing High-Growth Businesses Core
  • ABA4306 Enterprise Risk Management Core
  • ABA4207 Social Enterprise Models Core

Semester 2

2 modules 12 credits
  • ABA4608 Business Analytics Research Project Core
  • ABA4609 Industrial Training Core
03

Entry Requirements

I. At least three simple passes (S) in three subjects in Physical Science Stream in one and the same sitting at the G.C.E. (Advanced Level) Examination conducted by the Department of Examinations of Sri Lanka or equivalent qualification

OR

II. At least three simple passes (S) in two subjects in Physical Science Stream or Biology Stream or Commerce Stream and at least a simple pass (S) in Information and Communication Technology as the third subject at the same sitting at the G.C.E. (Advanced Level) Examination conducted by the Department of Examinations of Sri Lanka or equivalent qualification.

AND

At least a Credit Pass (C) in Mathematics at the G.C.E. (Ordinary Level) Examination conducted by the Department of Examinations of Sri Lanka.

04

Career Pathways

Graduates of the BSc (Hons) in Business Analytics programme can pursue diverse career pathways in data-driven industries. The programme equips students with strong foundations in statistics, programming, machine learning, and business decision-making, enabling them to work in roles that require analytical thinking and data interpretation.

Graduates may also pursue postgraduate studies in fields such as Data Science, Business Analytics, Artificial Intelligence, Statistics, or Management. The analytical and computational skills developed in the programme are highly valued across sectors such as banking, finance, insurance, retail, logistics, information technology, and consulting.

Graduates may work in analytical and decision-support roles within organizations, for example as data analysts, business analysts, analytics consultants, or business intelligence specialists etc. In addition, the strong quantitative and analytical foundation provided by the programme also enables graduates to pursue postgraduate studies and research in fields such as business analytics, data science, statistics, artificial intelligence, and management.