BSc (Hons) in Data Science

The Bachelor of Science Honours in Data Science aims to equip students with comprehensive knowledge and skills in various disciplines crucial for the analysis and interpretation of real-world data. The curriculum encompasses subjects like programming fundamentals, data science introduction, mathematics for computing, databases, AI, and statistics. Machine learning (ML) is highlighted as a key tool within the AI realm, automating data analysis and making real-time predictions without human intervention. The degree program emphasizes the interdependency of data science, ML, and AI, offering specialized courses such as big data management, machine learning for cybersecurity, and social media mining. A professional internship and a year-long final project are also integral components, ensuring practical experience and application of acquired skills. Overall, the program aims to prepare students for lucrative careers in data science, catering to the increasing demand across various industries.

Course Details
Course Overview

Horizon Campus's BSc (Hons) Data Science program immerses students in the fundamentals of data science, equipping them to navigate data-centric industries. It covers core concepts like programming, math, database management, and statistics. As students advance, they explore specialized areas like machine learning, big data analysis, and data visualization, honing their skills in solving complex data-related challenges. The data science program at Horizon Campus combines theoretical knowledge with practical experiences through hands-on projects and industry internships. This combination ensures graduates have both the technical skills and the real-world experience employers want. The program culminates in a final year project where students apply their learning to real-world scenarios, solidifying their expertise in data science. The focus on industry relevance and professional development prepares students to make meaningful contributions as skilled and adaptable data scientists in today's data-driven world.

  • High Job Demand: Companies everywhere need people who can understand and work with data. With this degree, you'll have lots of job opportunities waiting for you.

  • Lucrative Salary Potential: Data scientists are paid well because their skills are valuable. With this degree, you can expect to earn a good salary.

  • Career Versatility: Data science skills are useful in many different industries, like business, healthcare, and technology. With this degree, you'll have the flexibility to choose from a variety of career paths.

Year 01 - Semester 01

  • ITDS11013 Introduction to Computational Thinking - C (3 Credit)
  • ITDS11023 Fundamentals of Programming - C (3 Credit)
  • ITDS11032 Systems Analysis and Design - C (2 Credit)
  • ITDS11043 Introduction to Academic Communication - C (3 Credit)
  • ITDS11053 Mathematics for Computing - C (3 Credit)

Year 01 - Semester 02

  • ITDS12013 Introduction to Database - C (3 Credit)
  • ITDS12023 Advanced Mathematics for Computing - C (3 Credit)
  • ITDS12033 Computer Networks and Applications - C (3 Credit)
  • ITDS12042 Career Planning - Seminar - C (2 Credit)
  • ITDS12052 Human Computer Interaction - C (2 Credit)
  • ITDS12063 Introduction to Data Science - C (3 Credit)

Year 02 - Semester 01

  • ITDS21013 Data Analysis with Computer - C (3 Credit)
  • ITDS21023 Software Engineering - C (3 Credit)
  • ITDS21033 Object Oriented Design and Programming - C (3 Credit)
  • ITDS21043 Data Visualization I - C (3 Credit)
  • ITDS21052 Business and IT Law - O (2 Credit)
  • ITDS21062 Digital Entrepreneurship - O (2 Credit)
  • ITDS21072 Fundamentals of Cloud Computing and Virtualization - O (2 Credit)
  • ITDS22023 Introduction to Artificial Intelligence - C (3 Credit)

Year 02 - Semester 02

  • ITDS22013 Data Structures and Algorithms - C (3 Credit)
  • ITDS22033 Foundations in IT Professionalism - C (3 Credit)
  • ITDS22043 Information Systems in Organizations - C (3 Credit)
  • ITDS22053 Operating Systems - C (3 Credit)
  • ITDS22062 Emerging Technologies - O (2 Credit)
  • ITDS220 72 Introduction to API and Web Services - O (2 Credit)

Year 03 - Semester 01

  • ITDS31013 Probability & Introduction to Statistics - C (3 Credit)
  • ITDS31023 Applications of Information Systems in Business - C (3 Credit)
  • ITDS31033 Advanced Database Systems - C (3 Credit)
  • ITDS31043 Computer Graphics and Multimedia - C (3 Credit)
  • ITDS31063 Data Analytics and Mining - C (3 Credit)
  • ITDS31072 Project Management - O (2 Credit)
  • ITDS31082 Internet of Things - O (2 Credit)

Year 03 - Semester 02

  • ITDS31053 Information Retrieval - C (3 Credit)
  • ITDS32013 Data Science for Business - C (3 Credit)
  • ITDS32022 Research Methods and Academic Writing - C (2 Credit)
  • ITDS32033 Big Data Management - C (3 Credit)
  • ITDS32043 Advanced Linux commands and Shell Scripting - O (2 Credit)
  • ITDS32052 Applied Statistical Modelling - O (2 Credit)

Year 04 - Semester 01

  • ITDS41018 Final Project (Year Long) - C (8 Credit)
  • ITDS41023 Machine Learning and Intelligence Data Analysis - C (3 Credit)
  • ITDS41033 Distributed Computing for Data Science - C (3 Credit)
  • ITDS41043 Social Media Mining - C (3 Credit)
  • ITDS41053 Advanced Topics in Data Science - C (3 Credit)
  • ITDS41063 Data Visualization II - C (3 Credit)

Year 04 - Semester 02

  • ITDS42018 Professional Internship - C (8 Credit)
Stars 5
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Stars 4
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Stars 1
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  • Fee
    Local Students

    Registration Fee
    LKR 60,000.00 (2025 Jan - June Intakes)

    Course Fee
    LKR 1,840,000.00 (2025 Jan - June Intakes)


    UP TO 20% DISCOUNTS AND MONTHLY PAYMENT OPTION AVAILABLE (*Conditions apply)

    International Students

    Registration Fee
    USD 500.00 (2025 Jan - June Intakes)

    Course Fee USD 12,000.00 (2025 Jan - June Intakes)


  • Duration 4 years
  • Credit 120 Credits
  • Semester 8
  • Pass Parcentages %
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