BSc Honours in Statistics with Computer Science

Offered by the Department of Statistics

Degree Aims

Provide students with in-depth knowledge in statistics with a special focus on computer science and its applications.
The programme produces graduates for academia as well as for the information technology related industries.

Coordinator

Dr. Pemantha Lakraj
pemantha@stat.cmb.ac.lk

Entry Requirements

To be eligible for this programme, GPA of 3.7 for each of ST and CS core courses and GPA of 3.3 for AM core courses
Selection Criteria: Total weighted mark obtained for ST and CS core courses taken together.

Course Modules

(L – No. of Lecture hours, P – No. of Practical hours, X – Core, O – Optional)

Level 3

Semester I

Pre Required	Course Code	Title	No. of Credits	No. of Hours	ST+CS
	ST 3003	Marketing Research	2	30L	O
	ST 3007	Operational Research	3	45L	O
	ST 3051	Statistical Inference I	3	45L	X
ST 1004, ST 2004	ST 3072	Applied Regression Analysis	3	45L	X
	ST 3085	Computational Statistics	2	15L 30P	X
	ST 3074	Time Series Analysis	2	30L	O
	ST 3076	Reliability Data Analysis	3	45L	O
	CS 3001	Visual Programming Technologies	3	30L 30P	X
	CS 3105	Computer Graphics I	3	30L 30P	O
	CS 3120	Machine Learning and Neural Computing	3	30L 30P	X
	CS 3112	Advanced Web Development	3	30L 30P	O
	CS 3008	Introduction to Data Structures and Algorithm	3	30L 30P	O
	PM 3056	Real Analysis 1	2	30L	O

Semester II

Pre Required	Course Code	Title	No. of Credits	No. of Hours	ST+CS
	ST 3083	Multivariate Data analysis	3	45L	X
ST 3051	ST 3084	Statistical Inference II	2	30L	X
	ST 3082	Statistical Learning I	2	60P	X
	ST 3013	Essential Mathematics for Statistics	3	45L	X
	IT 3001	Management Information System	3	30L 30P	O
	IT 3002	Database System	3	30L 30P	O

Level 4