Higher Diploma in Computer Science (Big Data Analytics)

Key Information

Duration

2 Years

Intake Dates

May

Learning Mode

Blended

Course Overview

The Higher Diploma in Computer Science (Big Data Analytics) is designed to equip students with both foundational and advanced knowledge in computer science, with a strong focus on data analytics and emerging technologies. The program combines core computing principles with practical skills in data handling, analysis, and visualization, empowering students to derive meaningful insights from large datasets.

Students will engage in a wide range of topics, including programming, database systems, network fundamentals, cloud computing, IoT, machine learning, and business intelligence. The capstone project provides hands-on experience in solving real-world problems using data analytics solutions.

Entry Requirement

Students will be eligible to register for the Higher Diploma programme upon satisfying one of the
following:

Completion of GCE O/L (Ordinary Level) and GCE A/L (Advanced Level) with a minimum score: A–10, B–8, C–6, S–4 (up to 12 points can be earned)
OR
Completion of a recognized Degree Foundation program or equivalent professional qualification (minimum 6 months duration)

Learning Outcomes

  • Apply programming concepts and data structures to develop efficient software solutions.
  • Design, manage, and query relational and non-relational databases to support data-driven applications.
  • Understand and implement computer networks and systems architecture for secure and scalable systems.
  • Analyze and interpret large datasets using statistical, analytical, and visualization tools.
  • Implement machine learning algorithms and tools to build predictive models.
  • Apply cloud computing and IoT technologies in data collection, processing, and analytics.
  • Utilize business intelligence techniques to support strategic decision-making.
  • Evaluate information security principles and apply risk management in data systems.
  • Demonstrate critical thinking and problem-solving skills through a capstone project in big data analytics.
  • Communicate technical information effectively and work collaboratively in team environments.

Employment Opportunities After Completing

Career Roles Available

  • Data Analyst
  • Big Data Engineer
  • Business Intelligence Analyst
  • Database Administrator
  • Data Scientist 
  • Cloud Data Engineer
  • IoT Data Analyst
  • Machine Learning Assistant
  • Information Security Analyst
  • Software Developer (Data-focused)
  • IT Support Analyst
  • Systems Analyst
Domestic Fee

LKR 450,000

Royalty Fees

LKR 16,500