FACULTY OF SCIENCE & TECHNOLOGY
Undergraduates
Statistics Programme
The statistics programme will expose students to theoretical and applied knowledge involving various problem solving techniques and data analysis. The era of scientific data today greatly requires the skills of statistical analysis. The courses are designed to model students’ creativity in defining and understanding problems, identifying data collection methods, interpreting data analysis. The courses are designed so that graduates can adapt in the world of work related to data analytics.
Major courses
1st year
- Calculus I
- Calculus II
- Linear Algebra
- Introduction to Data and Probability
2nd year
- Calculus III
- Mathematical Statistics
- Statistical Technique
- Difference and Differential Equations
- Survey and Sampling
3rd year
- Numerical Methods
- Regression Analysis
- Time Series Analysis
- Scientific Computing in Data Mining
- Operational Research I
- Design of Experiment and Analysis
- Final Year Research Project I
4th year
- Applied Multivariate
- Final Year Research Project II
- Industrial Training
Electives
- Statistical Modelling
- Industrial Statistics
- Operational Research II
- Social Statistics
- Medical Statistics
- Statistical Analysis from Resampling Perspectives
- Logistic Regression Analysis
- Selected Issues in Statistics
- Statistical Inference
- Stochastic Processes
Career Prospects
- Data analyst/ data scientist
- Industrial engineer
- Statistician
Core lecturers
Assoc. Prof. Dr. Wan Zawiah Wan Zin
Statistical Modelling for Extreme Data, Industrial Statistics/Quality (w_zawiah@ukm.edu.my)
Assoc. Prof. Dr. Nur Riza Mohd Suradi
Quality and Performance Measurement, Structural Equation Modelling (nrms@ukm.edu.my)
Assoc. Prof. Dr. Nora Muda
Bioinformatics, Statistical Modeling and Robust Statistics (noramuda@ukm.edu.my)
Assoc. Prof. Dr. Zainol Mustafa
Quality Engineering (zbhm@ukm.edu.my)
Assoc. Prof. Dr. Nurulkamal Masseran
Applied Statistical Modelling, Data Mining
(kamalmsn@ukm.edu.my)
Dr. Wan Rosmanira Ismail
Timetabling, Route Scheduling, Analysis of Efficiency and Productivity (wrismail@ukm.edu.my)
Dr. Mohd Aftar Abu Bakar
Time Series Analysis, Computational Statistic, Statistical Modelling, Signal Processing, Data Science, Machine Learning (aftar@ukm.edu.my)
Assoc. Prof. Dr. Noratiqah Mohd Arif
Applied Statistics, Data Analysis, Computational Statistics (tqah@ukm.edu.my)
Assoc. Prof. Dr. Zamira Hasanah Zamzuri
Multivariate statistics and Bayesian modeling(zamira@ukm.edu.my)
Dr. Zalina Mohd Ali
Statistics, Multivariate Analysis, Bayesian Modeling Analysis, Water Quality Index Development, Customer Satisfaction (zalina99@ukm.edu.my)
Dr. Bernard Lee Kok Bang
Data Science, Machine Learning, Data Analytics (bernardlkb@ukm.edu.my)
Dr. Nor Hamizah Miswan
Applied Statistics, Time Series Analysis (norhamizah@ukm.edu.my)
Dr. Muhammad Hilmi Abdul Majid
Statistical Modeling; Statistics & Probability (hilmi.majid@ukm.edu.my)
Mrs. Faridatulazna Ahmad Shahabudin
Forecasting; Survey and Sampling
(azna@ukm.edu.my)
Mrs. Rofizah Mohammad
Bayesian statistics (rofizah@ukm.edu.my)
Ms. Nurul Afiqah Burhanuddin
Bayesian Modeling; Statistical Machine Learning (nurul.afiqah@ukm.edu.my)
Entry requirements
General requirement:
- Complete 12 years of Primary and High School education; and
- Obtain High School (e.g. Higher Secondary Certificate, Senior Secondary School Graduation Certificate, Tawjihiyah, Ijazah Sekolah Menengah Atas, High School Diploma); and
- Meet minimum English requirement set by faculty; and
- Pass UKM interview (if required) ; and
- Meet faculty specific requirement;
Specific programme requirement:
