The BSc (Hons) 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.

The curriculum combines mathematics, statistics, computing, and business management. It begins with fundamental courses in statistics, probability, programming, calculus, and economics, then progresses to advanced topics such as machine learning, econometrics, optimization, big data analytics, and artificial intelligence.

Students also develop practical skills through data visualization, database systems, statistical modelling, and forecasting techniques. The programme culminates with an industrial training component and a research project, allowing students to apply analytical methods to real-world business problems.

Call us on 0112100500 or 0117999000 for updated prices.

Payment and Refund Policy

1 . Refunds – Registration Fee/ Down Payment/ Semester Payments

1.1. Students are refunded their registration fee/Down Payment in the following circumstances and all the refunds are facilitated only within a year,

a. If the student does not meet at least three Simple Passes (S) in three subjects in the Physical Science Stream, or at least three Simple Passes (S) in two subjects in the Physical Science, Biology, or Commerce Stream and at least a Simple Pass (S) in Information and Communication Technology as the third subject, obtained at one and the same sitting at the G.C.E. (Advanced Level) Examination conducted by the Department of Examinations of Sri Lanka (or an equivalent qualification); and a Credit Pass (C) in Mathematics at the G.C.E. (Ordinary Level) Examination conducted by the Department of Examinations of Sri Lanka.

b. If a paid student is selected to follow the degree under the MOHE loan scheme within the first semester

c. A qualified Doctor’s recommendation is given to the student, that the student is unable to participate in academic activities due to mental or physical conditions.

1.2. University Semester fees are refunded only when a student fails the GCE Advanced Level examination. In all other cases, students must pay the semester fee.

1.3. If a student gets selected to MOHE after the 1st Semester completion, the university will not refund the paid amount but will allow them to continue the degree as MOHE students.

2 . Invoicing

2.1. Invoices are raised based on the time of registration, prevailing discount schemes, and timing of the payment scheme selected by the student. Further, all invoices must be settled within the specified period mentioned on the invoice.

3 . Penalties

3.1. Management may charge penalty charges based on the late payment dates and the penalty rates will be changed based on the discretion of the management.

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.

Career Opportunities

Graduates of the BSc (Hons) in Business Analytics programme are well prepared for careers in organizations that rely on data-driven decision making. The programme develops strong competencies in statistical analysis, data management, programming, machine learning, and business strategy, enabling graduates to analyze complex datasets and support informed managerial decisions.

Career opportunities exist across a wide range of industries such as banking and finance, insurance, information technology, consulting, retail, logistics, telecommunications, and the public sector. In these sectors, professionals with business analytics expertise contribute to areas such as data analysis, business intelligence, predictive modelling, operational optimization, and strategic planning.

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.