Program Overview

Introduction to the University of Kent

The University of Kent is a leading research university that offers a wide range of undergraduate and postgraduate programs. The university is committed to providing a high-quality education and research experience to its students.

Data Science with Placement MSc

The Data Science with Placement MSc program is designed to provide students with the skills and knowledge required to succeed in the field of data science. The program is tailored to allow entry with an undergraduate degree from any subject, and it is designed in consultation with external organizations to ensure that students gain the skills and experience that employers are looking for.

Key Information

• Study mode: Full-time only
• Duration: Two years full-time
• Start date: September
• Location: Canterbury

Overview

The program is designed to provide students with a comprehensive understanding of data science, including the principles and practices of mathematics, statistics, artificial intelligence, and computer engineering. Students will learn how to apply cutting-edge machine learning and deep learning methods, and how to make sense of text data.

Reasons to Study MSc Data Science at Kent

• The program is tailor-made to allow entry with an undergraduate degree from any subject.
• The program was designed in consultation with external organizations to ensure that students gain the skills and experience that employers are looking for.
• Students will learn key technical skills, including Python and R programming, and the use of machine learning and deep learning methods.
• The program includes an industrial placement, which allows students to gain valuable work experience and contacts.

Entry Requirements

• A 2:2, 2:1, or First Class degree.
• All applicants are considered on an individual basis, and additional qualifications, professional qualifications, and relevant experience may also be taken into account.
• International students: Please see the International Student website for entry requirements by country and other relevant information.

Course Structure

The program includes a range of modules, including:

• Python Programming
• Machine Learning
• Foundations of Data Science
• Bayesian Machine Learning
• Data Modelling and Consultancy
• Deep Learning
• Data Science Project
• Industry Placement Experience
• Industry Placement Report

How You'll Study

• The program includes a range of teaching methods, including lectures, practical computer-based sessions, and project work.
• Assessments include extensive analyses of complex real-world data, unseen written examinations, and coursework, including an independent project and report.
• The program includes a year in industry, which provides students with the opportunity to gain valuable work experience and contacts.

Your Future

• The program is designed to provide students with the skills and knowledge required to succeed in the field of data science.
• Graduates may work in a range of fields, including national government, insurance companies, archaeology, and sports.
• The program includes an industrial placement, which allows students to gain valuable work experience and contacts.

Fees and Funding

• The 2025/26 annual tuition fees for this course are:
  • UK: £10,000
  • EU: £23,500
  • International: £23,500
• For details of when and how to pay fees and charges, please see the Student Finance Guide.
• Tuition fees may be increased in the second and subsequent years of the course.

Scholarships

• The university offers a range of scholarships, including subject-specific awards and scholarships for academic, sporting, and musical achievement.
• International students may be eligible for scholarships up to £5,000.

Accommodation

• The university offers a range of accommodation options, including on-campus and off-campus accommodation.
• For more information, please see the Accommodation website.

Research

• The university is a leading research university, with a strong focus on research excellence.
• The university has risen 11 places in THE's REF 2021 ranking, confirming its position as a leading research university.

Support

• The university offers a range of support services, including academic support, career support, and student support.
• For more information, please see the Support website.