A Bachelor of Science (Honours) in Information Technology in Data Science is an undergraduate degree program designed to provide students with a comprehensive understanding of information technology along with specialized knowledge in Data Science. This 4-year program covers a wide range of topics related to managing, analyzing, visualizing large data sets to extract valuable insight for decision making and problem solving in organization. Specializing in Data Science is crucial in today's data-driven world. Organizations across industries rely on data to make informed decisions, improve operations, and gain competitive advantages. This specialization equips students with the skills to handle, analyze, and interpret large volumes of data, making them valuable assets in any organization Skills Developed The graduates of this degree program will possess the following skills: Technical Skills: Proficiency in programming languages (such as Python, R, or SQL), knowledge of data science tools and technologies, and experience with block chain, data visualization and data manipulation and analysis. Analytical Skills: Ability to analyze complex datasets, identify trends, and make data-driven decisions. Problem-Solving Skills: Capability to address data-related challenges and develop innovative solutions. Practical Experience: Engagement in blockchain and data visualization projects, internships, and lab work to apply theoretical knowledge to real-world problems. Research Skills: Conducting research on emerging data science methodologies and staying updated with the latest trends and technologies Internship Students will undergo a 6 months industrial training in the field of Data Science. The training will give the student the exposure and hands-on experience in latest technologies in Data Science. Combined with theoretical knowledge, practical skills and industry exposure, the students will be well equipped to face industry challenges as globally competitive IT graduates specialized in Data Science.
3 passes in G.C.E. (A/L) in Physical Science Stream or Engineering Technology Stream or Equivalent Qualification Or 3 passes in G.C.E. (A/L) in any Stream and a Credit Pass (C) in Mathematics at the GCE (O/L) or Equivalent Qualification and Bridging Program.
Completion of Bachelor’s Honours Degree meets the minimum entry requirement for admission to any SLQF level from 7 to 10 or to SLQF level 11 or 12 after successful completion of a qualifying examination in the same or a related subject. If the qualification holder possesses a minimum GPA of 3.0 in a scale of 0-4, even without a qualifying examination he/she may be admitted to SLQF level 11 or 12. With the Completion of the BSc Hons program Direct entry to Masters with Coursework Direct entry to Masters with Coursework +Research With the Completion of the BSc Hons program with High GPA and/or qualifying examination Direct entry to MPhil/Ph.D. programs
First Year: 1st Semester Computer Systems Information Systems Programming Fundamentals Mathematics for IT Academic English First Year: 2nd Semester Database Design and Development System Analysis and Design Web Application Development Discrete Mathematics General English and Communication Skills Organizational Behaviour Second Year: 3rd semester Object Oriented Programming Data Communication Cyber Security Principles User Experience and Design Statistics 1 Essentials in AI Second Year: 4th Semester Data Structures and Algorithms Computer Networks Software Engineering Service Oriented Computing IT Group Project Statistics 2 Fundamentals in Data Science Third Year: 5th semester Database Administration Project Management Professional Practice AI and Machine Learning Data Mining Data Visualization Third Year: 6th Semester Cloud Computing Internet of Things Deep Learning Business Analytics Block Chain Technologies Fourth Year: 7th Semester Research Methods for Computing Emerging Trends in IT Business Start up Big Data System Geospatial System Fourth Year: 8th Semester Industrial Training Data Science Research project
BSc (Hons) in Information Technology in Data Science prepares students for a dynamic and rewarding career in the ever-evolving tech industry. Some of the graduate professions include: Big Data Engineer Data Analyst Data Scientist Business Intelligence Analyst Software Engineer Data Architect Database Administrator Consultant, Business Analytics Machine Learning Engineer Big Data Application Developer Research Scientist in Data Science

Quick Info

Duration

4 Years

Full-time: 4 Years
Part-time: NA

Faculty

Faculty of Information Technology

Program Type

Undergraduate

Intake Months

May

Campus Locations

Colombo Campus

Final Certificate Awarded

International College of Business and Technology(ICBT

Last Updated

December 7, 2025 at 10:30 pm

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