BSc (Hons) in Information Technology Specializing in Data Science

The meticulous curriculum focuses on the fundamentals of computer science, statistics, and applied mathematics, while incorporating real-world examples. Graduates are prepared to succeed in specialized jobs involving everything from the data pipeline and storage, to statistical analysis and eliciting the story the data tells.

Career Opportunities

  • Big Data Engineer
  • Data Analyst
  • Data Scientist
  • Business Intelligence Engineer
  • Software Engineer
  • Data Architect
  • Database Administrator
  • Consultant, Business Analytics
  • Machine Learning Engineer
  • Big Data Application Developer
  • Data Science Specialist

Program Contents

Year 01

Code Module Credit
IT 1040 Communication Skills 03
IT 1010 Introduction to Programming 04
IT 1030 Mathematics for Computing 04
IT 1020 Introduction to Computer Systems 04
IT 1080 English for Academic Purposes 03
IT 1060 Software Process Modeling 03
IT 1060 Probability and Statistics 03
IT 1050 Object Oriented Concepts 02
IT 1100 Internet and Web Technologies 04
IT 1090 Information Systems and Data Modeling 04

Year 02

Code Module Credit
IT2060 Operating Systems and System Administration 04
IT2020 Software Engineering 04
IT2030 Object Oriented Programming 04
IT2040 Database Management Systems 04
IT2050 Computer Networks 04
IT2010 Mobile Application Development 03
IT2070 Data Structures and Algorithms 04
IT2080 IT Project 04
IT2090 Professional Skills 02
IT2100 Employability Skills Development –Seminar

Year 03

Code Module Credit
IT3030 Programming Applications and Frameworks 04
IT3011 Theory and Practices in Statistical Modelling 04
IT3021 Data Warehousing and Business Intelligence 04
IT3031 Database Systems and Data-Driven Application 04
IT2100 Employability Skills Development –Seminar  
IT3041 Information Retrieval and Web Analytics 04
IT3051 Fundamentals of Data Mining 04
IT3061 Massive Data Processing and cloud Computing 04
IT3071 Machine Learning and Optimization Methods 04

Year 04

Code Module Credit
IT4010 Research Project (Comprehensive Design and Analysis Project ) 16
IT4011 Database Administration and Storage Systems 04
IT4021 Internet of Things and Big Data Analytics 04
IT4031 Visual Analytics and User Experience Design 04
IT4041 Introduction to Information Security Analytics 04
IT4010 Research Project (Comprehensive Design and Analysis Project )

Entry Requirements

Passes in three subjects (in any stream) at the G.C.E (Advanced Level) examination (Sri lanka / London) in one and the same sitting and a pass at the Aptitude test conducted by SLIIT along with passes for all modules up to the 2nd year and a GPA of over 2.7 are eligible to apply to this specialization. Selection is based on an interview.

Fee & Funding

The fee is presently Rs. 150,000 ( + Taxes ) per semester for the first two years and Rs. 175,000 ( + Taxes ) per semester for the final two years. Fees for any subsequent semester should be paid prior to the commencement of each semester. This all inclusive fee is charged to cover lectures, tutorials and examinations and access to computer laboratory facilities and library.


February / September