University of Kent United Kingdom

Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 3 Years
Mode On Campus
Level Undergraduate
Degree Bachelors Degree
Closing soon January 2027

Course Overview

The Data Science Bachelors Degree at the University of Kent is designed for aspiring professionals eager to harness the power of data to solve complex problems and drive innovation. In an era defined by vast information streams, this course equips you with the essential quantitative skills and computational expertise needed to excel in this dynamic field. You will explore the intersection of statistics, computer science, and subject-specific knowledge, preparing you for a career where data-driven insights are paramount. This programme is ideal for those with a strong analytical aptitude and a curiosity for uncovering patterns within data.

This full-time, on-campus programme is studied over three years, immersing you in a curriculum that balances theoretical foundations with practical application. You will engage with core areas such as programming for artificial intelligence, machine learning, predictive modelling, and database systems, often through hands-on projects and real-world case studies. In your final year, you will undertake a significant Data Science Project, allowing you to apply your accumulated knowledge to a challenge of your choice. You will graduate with a robust skillset, ready for roles in data analysis, machine learning engineering, and advanced statistical modelling across various industries.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a comprehensive foundation in data science, covering essential areas such as object-oriented programming, databases, cloud computing, and mathematical methods including probability and statistics. Students will delve into predictive modeling, optimization techniques, and advanced machine learning concepts like deep learning. The curriculum culminates in a significant data science project, preparing graduates for professional practice in the field.

1 Stage 1

Introduction to Object-Oriented Programming Compulsory
Databases and the Web Compulsory
Computers and the Cloud Compulsory
Programming for Artificial Intelligence Compulsory
Mathematical Methods Compulsory
Probability Compulsory
Statistics Compulsory
Data Science Practice Compulsory
SMSAS Industrial Practice Stage 1 Compulsory

2 Stage 2

Algorithms Compulsory
Database Systems Compulsory
Introduction to Artificial Intelligence Compulsory
Predictive and Explanatory Modelling in Context Compulsory
Optimisation for Data Analysis Compulsory
Preparing for Professional Practice Compulsory

3 Stage S (Industrial Placement) - For students on a Year in Industry

Industrial Placement Experience Compulsory
Industrial Placement Report Compulsory

4 Stage 3

Natural computation Compulsory
Machine Learning and Deep Learning Compulsory
Advanced Models and Bayesian Inference Compulsory
Data Science Project Compulsory

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 26,087.00
Second Year Fee Tuition fee
USD 26,087.00
Third Year Fee Tuition fee
USD 26,087.00
Total Program Cost Estimated total tuition
USD 78,263.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 572.00 - USD 1,227.00
Food & Groceries USD 2,417.00 - USD 4,833.00
Transport USD 806.00 - USD 1,611.00
Utilities & Bills USD 1,128.00 - USD 2,095.00
Estimated Total USD 4,351.00 - USD 8,539.00

Living cost estimates are based on Canterbury Campus.

Outcomes & Employability

What happens after you graduate

95%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Agricultural Marketing & SalesBrand ManagementCommercial AviationCrop Production & FarmingEvent & Experiential MarketingInvestment Management & Asset ManagementMaritime & ShippingPerformance & Growth MarketingSatellite CommunicationsSupply Chain & Food Logistics

Top Employers Hiring for this course

Accenture

Apple

Aviva

Babcock international Group

Cisco

Deloitte UK

IBM

Llyods banking group

Why Study Data Science at University of Kent

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Very Fast Application response time

University of Kent typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at University of Kent in United Kingdom

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Data Science at University of Kent

Can I work while studying?

International students can work up to 20 hours per week during term time while studying for a Degree course. Full-time work is allowed during breaks.

What English language score do I need for this course?

To meet English test requirements, you can submit scores from TOEFL, IELTS, or PTE. Minimum scores include an overall TOEFL score of 80, IELTS 6.0, or PTE 63.

What jobs can I get after studying this course?

Graduates can pursue roles such as Data Analyst, Data Scientist, Machine Learning Engineer, or Big Data Consultant.

What will I actually study in this course?

Data science combines powerful computing technology, sophisticated statistical methods, and expert subject knowledge to analyse and gain practical insights from the huge amounts of data produced by modern societies.  

This course combines the expertise of internationally-renowned statisticians and mathematicians, computer scientists and machine learners to ensure that you develop the expertise and quantitative skills required for a successful future career in the

When can I start — what are the intake months?

The Data Science course has an intake in January. Be sure to apply well in advance to secure your spot.
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