Master the art of extracting insights from complex datasets through a multidisciplinary program combining mathematics, computer science, and practical data analysis.
Awarded by
Kingston University
Data Science is a rapidly expanding field globally, driven by continuous advancements in computer systems and data gathering. This MSc programme from Kingston University leverages the strengths of Kingston's Mathematics and Computer Science programmes, offering a multidisciplinary approach to computationally analysing data. In a world abundant with large datasets across business, science, and government, the demand for data-savvy professionals continues to grow. The programme equips students with the skills to make sense of complex datasets, build models, and apply them to solve relevant real-world problems. Students gain practical experience in applied data programming, database management, data analytics and visualisation, and machine learning and deep learning techniques. The curriculum is designed to prepare graduates for rewarding, high-demand careers in data science across diverse industries and sectors. Data Scientists are in high demand globally, with organisations seeking professionals capable of extracting valuable insights from data. This degree opens doors to versatile career opportunities spanning industries and sectors, with high earning potential and strong job security in a fast-growing field.
Multidisciplinary approach combining Mathematics and Computer Science
Covers machine learning, deep learning, and applied data programming
High demand and strong earning potential for graduates globally
Flexible learning with blended and weekend delivery options
Culminates in a Project Dissertation on a real-world data science problem
Applied data programming for real-world data science solutions
Database design, management, and optimisation for large-scale datasets
Data analytics techniques and compelling data visualisation
Machine learning and deep learning algorithms and model development
Independent research through a project dissertation
Level
Postgraduate
Duration
Hybrid
Location
Intakes
September
A relevant undergraduate degree in Computing, Mathematics, Science, or a related discipline (minimum second class honours or equivalent)
Some professional experience in a data or computing role is an advantage
English language proficiency may be required
CI7340 • —
Compulsory
CI7320 • —
Compulsory
CI7330 • —
Compulsory
CI7521 • —
Compulsory
CI7000 • —
Compulsory
Choose your fee category to see applicable costs
total
Application fee: LKR 25,000
Here are answers to common questions about this course
Location
Colombo, Kandy
Duration
| hybrid
Upcoming Intakes
total
Course fee: LKR 790,000
Application fee: LKR 25,000