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The Higher National Diploma in Data Science (Part-Time) is designed to equip students with the knowledge and skills needed to excel in the data science and analytics field, with a focus on data visualization, big data, and machine learning technologies. The course offers hands-on training in data visualization using tools like Power BI, Python, R, and Tableau, helping students effectively present complex data insights to drive business decisions.

The program covers key areas like data engineering, financial analytics, and digital marketing, enabling students to apply data science principles in diverse industries. Students will also explore big data analytics and deep learning techniques, which are vital for handling large datasets and building sophisticated predictive models.

The course includes a data science research project, allowing students to apply their knowledge to real-world problems and gain valuable experience. Graduates will be well-prepared for roles such as data analysts, data engineers, or machine learning specialists, capable of leveraging data to make informed decisions and solve business challenges in sectors like finance, marketing, and technology. This part-time program is ideal for working professionals looking to advance their careers while balancing study and work commitments.

Department
Department
BUSINESS ANALYTICS CENTER
Campus
Campus
Kirulapone NIC
Level
Level
Higher National Diploma Programmes
Method
Method
Part 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) with 2.5 Years experience in the relevant field 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 using Power Bi

  • Data Visualization and Interactive Dashboards using Python

  • Data Visualization using R and Tableau

  • Data Engineering 

  • Information Retrieval and Analytics

  • Financial Analytics

  • Digital Marketing 

  • Big Data Analytics

  • Deep Learning 

  • Operations Research

  • Data Science Research Project