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Offered by the Department of Statistics

Degree Aims

  • Provide students with in-depth theoretical knowledge and practical applications in Data Science.
  • The programme will produce graduates who are capable of conducting research and development in the field as well as to be employed as Data Scientists and related professionals in the industry.

Entry Requirements

Eligibility: GPA of 3.00 for each of ST and CS core courses and GPA of 3.00 for AM core courses.

Selection: 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 DS
ST 2010 ST 3008 Applied statistical models 3 30L, 30P X
ST 3051 Statistical Inference I 3 45L X
ST 3074 Time Series Analysis 2 30L O
ST 3085 Computational Statistics 2 15L, 30P X
DS 3001 Data Visualization Techniques 1 30P X
DS 3002 Data Ethics and Data Security 2 15L, 30P X
CS 3008 Introduction to Data Structures and Algorithm 3 30L, 30P X

Semester II

Pre Required Course Code Title No. of Credits No. of Hours DS
ST 3011 Statistical Programming 2 60P X
DS 3003 Machine Learning I 2 60P X
ST 3083 Multivariate Data analysis 3 45L X
ST 3051 ST 3084 Statistical Inference II 2 30L X
DS 3004 Essential Calculus and Linear Algebra for Data Science 3 45L X
IT 3002 Database System 3 30L, 30P X

Level 4

Semester I

Pre Required Course Code Title No. of Credits No. of Hours DS
ST 4051 Scientific Writing 1 30P X
DS 4001 Image Analysis 2 15L, 30P O
DS 4002 Machine Learning II 2 60P X
DS 4003 Special Topics for Data Science 2 15L, 30P O
DS 4004 Big Data analytics 3 30L, 30P X
DS 4005 Causal Inference 1 30P X
CS 4127 Advanced Concepts in Software Design & Development 3 30L, 30P X
IT 3002 CS 4128 Advanced Database Management 3 30L, 30P X
CS 4113 Natural Language Processing 3 30L, 30P X

Semester II

Course Code Title No. of Credits No. of Hours DS
DS 4007 Research Project in DS 8 240P X
DS 4006 Professional Practice 4 30L 30P X
CS 4111 Intelligent System 3 30L 30P O
CS 4117 Embedded Systems 3 30L, 30P O