Master of Science in Data Science - Kingston University (UK)

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

Overview

About this course

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.

Why choose this course

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

What you will learn

1

Applied data programming for real-world data science solutions

2

Database design, management, and optimisation for large-scale datasets

3

Data analytics techniques and compelling data visualisation

4

Machine learning and deep learning algorithms and model development

5

Independent research through a project dissertation

Skills you will gain

Data ProgrammingDatabase ManagementData VisualisationMachine Learning Model DevelopmentStatistical AnalysisDeep LearningProblem-SolvingData-Driven Decision Making

At a glance

Level

Postgraduate

Duration


Hybrid

Location

Onsite campus

Intakes

September

Entry Requirements

Entry Requirements

  • 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

Course Structure

Applied Data Programming

CI7340 • —

Compulsory

Databases and Database Management

CI7320 • —

Compulsory

Data Analytics and Visualization

CI7330 • —

Compulsory

Machine Learning and Deep Learning

CI7521 • —

Compulsory

Project Dissertation

CI7000 • —

Compulsory

Fees and Funding

Tuition Fees

Choose your fee category to see applicable costs

Course fee: LKR 790,000

total

Application fee: LKR 25,000

Local tuition fee

Frequently Asked Questions

Here are answers to common questions about this course

Course Facts

Location

Colombo, Kandy

Duration

| hybrid

Upcoming Intakes

Tuition Fees

total

Course fee: LKR 790,000

Application fee: LKR 25,000

Verified informationMay 6, 2026

Similar Courses

Master of Science in Data Science - Kingston University (UK) | Esoft Uni | Uplift.lk