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The Higher National Diploma in Data Science offers a comprehensive exploration of data analytics, machine learning, and big data technologies, equipping students with the skills necessary to thrive in the rapidly evolving field of data science.

The course covers essential topics such as data visualization, interactive dashboards using Python, and time series analysis, enabling students to effectively interpret and communicate complex data insights. Students will also learn advanced techniques in machine learning, including deep learning, to build predictive models and solve real-world problems.

Practical training in data engineering and financial analytics prepares students to handle large datasets and perform data analysis in a variety of domains. The course also dives deep into big data analytics and operations research, providing students with the tools to analyze massive datasets and optimize business processes.

The program includes a data science research project and industrial training, offering students the opportunity to apply their skills in real-world settings. Graduates of this course will be well-prepared for careers as data scientists, machine learning engineers, or data analysts, ready to make impactful decisions based on data insights in industries such as finance, healthcare, and technology.

Department
Department
BUSINESS ANALYTICS CENTER
Campus
Campus
Kirulapone NIC / Kandy KIC
Level
Level
Higher National Diploma Programmes
Method
Method
Full Time
Duration
Duration
01 Year
Medium
Medium
English

Entry Requirements

  • Those who have completed the Advanced Diploma in Data Science from the NIBM.

  • Lateral entry points: Those who have completed the Advanced Diploma in a discipline with significant IT, Computing, Mathematics and Statistics content in a recognized institution (upon review by the Data Science academic panel of NIBM) are eligible to enroll for the 2nd year of the degree. 

Commencement

  • NIC (Kirulapone) – Pending

Programme Fees

Current Fee Structure
  • Course Fee: LKR 400,000/= + Registration Fee: LKR 5,000/=
*Subject to change without prior notice. Conditions apply.

Course Structure and Modules

  • Data Visualization

  • Interactive Dashboards using Python

  • Machine Learning 01

  • Time Series Analysis for Data Science

  • Information Retrieval and Analytics

  • Data Engineering

  • Financial Analytics

  • Machine Learning 02

  • Big Data Analytics

  • Deep Learning 

  • Operations Research

  • Data Science Research Project

  • Industrial Training