AI and Machine Learning Elective

Advanced Data Analytics
Applied Nonparametric Statistics
Discrete Mathematics
Survival Models
Risk Theory
Research Project

Econometrics Elective

Applied Time Series Econometrics
Stochastic Processes
Discrete Mathematics
Simulations and Credibility Theory
Risk Theory
Research Project

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

ELECTIVES WITH SPECIALISATION

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)

Advanced Calculus
AI Foundation and Applications
Calculus
Data Modelling Essentials
Introduction to Operations Research
Introduction to Probability
Principles of Economics
Linear Algebra & Applications
Principles of Business Finance
Programming Principles

AI-Driven Forecasting and Modelling
Computer-Intensive Statistical Methods
Design of Experiments
Essentials of Employability
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

Year 1

Programme Structure

Year 2

Year 3

3 Years

DURATION

January
April
September

INTAKES

Pathways

THE ONLY PROGRAMME IN ASEAN & 1^STIN ASIA PACIFIC

To embed the SAS Certified Data Scientist syllabus within a degree program, while also preparing students to sit for the SAS Certified Data Scientist qualification exam.

Exam 1: Base Programming using SAS 9.4
Exam 2: Forecasting and Optimization using SAS Viya
Exam 3: Machine Learning using SAS Viya
Exam 4: Natural Language Processing and Computer Vision using SAS Viya
Exam 5: Advanced Programming using SAS 9.4