Students will be equipped with the fundamental, advanced and specialised mathematics and statistics knowledge; key to producing a dynamic, in-demand, and skilled workforce for almost every industry.

Bachelor of Science (Honours) in Statistical Data Modelling

(R/0542/6/0007)(10/28)(MQA/FA9749)

Audit analytics
Biostatistician
Business / Corporate data analyst
Chief statistician
Cryptographer
Data analytics expert
Data scientist
Fraud investigator
Healthcare statistician
Investment / Risk data analyst

Operations research analyst
Optimisation & Forecasting engineer
Quantitative analyst
Researcher
SAS programmer
Sports performance analyst
Statistical project consultant
Statistical quality control engineer

February
April
September

Intakes

Duration

3 years

Career Prospects

Programme Structure

Advanced Calculus
Calculus
Elementary Statistics
English for Business
Introduction to Operations Research
Introduction to Probability
Introductory Economics
Linear Algebra & Applications
Principles of Business Finance
Programming Principles

Communication Skills
Computer-Intensive Statistical Methods
Design of Experiments
Entrepreneurial Mindset & Skills
Free Elective 1
Introductory Econometrics
Mathematical Statistics I
Quality Control and Survey Sampling
Statistical Data Technologies and Fluency

Applied Econometrics
Free Elective 2
Internship
Machine Learning Techniques for Data Mining
Multivariate Analysis
Time Series & Forecasting

AI Elective

Advanced Data Analytics
Applied Nonparametric Statistics
Big Data Technologies
Survival Models
Research Project

Econometrics Elective

Applied Time Series Econometrics
Behavioural Econometrics Modelling
Stochastic Processes
Simulations and Credibility Theory
Research Project

Additional MOHE Compulsory General Studies Subjects apply for local and international students.

Electives (Choose 3)

Year 1

Year 2

Year 3

Elective with Specialisation *new!

AI-Driven Data Science
Econometrics