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