What is your next education pathway?
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.
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/=
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