Our students leave us inspired by what they have learned, proud of their achievements and believing they have had the ideal preparation for their future lives and careers.
The School of Science and Technology is an exciting multidisciplinary environment for learning, teaching and research, with some of the best facilities in the UK. We specialise in biosciences, chemistry, computing and technology, engineering, forensic science, mathematics, physics and sport science. This mix of traditional and modern subjects encourages and inspires future innovators. We pride ourselves on our high-quality teaching that gives our students the maximum chance to develop the practical, hands-on skills employers are looking for.
Find your course
Open days and campus tours
Visiting us at an open day is the perfect way to see what makes life and learning at NTU so special.
Book your place at an undergraduate open day on:
- Saturday 6 July 2024
- Saturday 12 October 2024
- Saturday 30 November 2024
- Saturday 18 January 2025
We have campus tours happening on: Friday 21 June, Friday 28 June, Friday 12 July and Friday 26 July.
Our academic departments
Department of Biosciences
Welcome to the Department of Biosciences. We deliver innovative teaching and research in subjects including biomedical science, microbiology, biochemistry and pharmacology, with a vibrant postgraduate and PhD research community.
Department of Chemistry
Welcome to chemistry at NTU, part of the Department of Chemistry and Forensic Science. Our courses are taught in modern, innovative teaching spaces, offering excellent career prospects, including accreditation by The Royal Society of Chemistry.
Department of Computer Science
Welcome to the Computer Science Department at NTU. The department combines internationally significant research with an outstanding record for teaching excellence. Our state-of-the-art facilities and career-focused approach to course design provide the right conditions for students to succeed in their chosen fields.
Department of Engineering
The Department of Engineering was launched in 2017 with a vision to develop engineers that will shape the future. We are investing in our staff, facilities, and working environment in order to achieve our vision.
Department of Forensic Science
Forensic science is an exciting, industry-led subject area which uses science to investigate legal questions. Practitioners may work in a variety of roles and contribute to an investigation either through direct contact with the crime scene, the evidence or through opinions based on their expertise in a particular subject area.
Department of Mathematics
Our portfolio of courses is diverse and popular, covering foundation level through to a suite of BSc degrees, integrated Masters, postgraduate taught and PhD opportunities. The link between teaching and research manifests itself in enhanced 'hands-on' research opportunities for our students.
Department of Physics
Welcome to the physics team, part of the Department of Physics and Mathematics at Nottingham Trent University. We are dedicated to delivering outstanding and pioneering taught courses and world-leading, impactful research in the areas of physics, mathematics and engineering.
Department of Sport Science
Our department addresses current and contemporary issues within sport, exercise and physical activity in world-class facilities that students, researchers and industry can gain access to. Our courses encourage students to put theory into practice by providing multiple opportunities for hands-on learning to enhance the student experience.
Our research
PhD studentships
Come and be a part of our world-leading research, we'll support you through our researcher support programme that priorities your professional development, to be a future innovator.
You can browse our studentships here.
Research Excellence Framework (REF) 2021
In the latest Research Excellence Framework (REF) 2021, 86% of NTU's research impact was assessed to be either world-leading or internationally excellent. The overall quality of each Unit of Assessment NTU submitted to REF in 2021 also saw an improvement from the previous REF in 2014.
Our research centres
Centre for Systems Health and integrated Metabolic Research (SHiMR)
SHiMR is structured around four themes covering various aspects of human health and chronic diseases, including cancers which are treatable but not curable, diabetes and other inflammatory conditions.
Centre for Computer Science and Informatics (CIRC)
Harnessing enabling technologies ranging from machine learning, AI, and advanced display technologies, to intelligent sensors and robotics to drive advances for individuals and society.
Imaging, Materials and Engineering Centre (IMEC)
To solve modern engineering problems requires an interdisciplinary approach. At IMEC this principle is embedded in the way we do research in the applied sciences and engineering, with our strengths in imaging, materials, and smart and medical technologies.
Sport, Health and Performance Enhancement Research Centre (SHAPE)
Providing a vibrant research environment to investigate the biological, physical, psychological and societal impact of sport and exercise for health, well-being and human performance
The John van Geest Cancer Research Centre
The Centre has a strong research base which aligns to the Health and Wellbeing strategic theme, the Cancer Biology, Immunology and Therapeutics theme and the Biosciences subject area here at NTU.
Latest news
PARIS 2024 OLYMPICS: How heat could impact athletes at this year’s Games
Wed 17 Jul 2024
Gene ‘switched off’ in early stages of pancreatic cancer, allowing rapid tumour growth and spread
Mon 15 Jul 2024
Blue Zone Consortium
Thu 11 Jul 2024
Women scientists get on their soapboxes to inspire next generation
Mon 08 Jul 2024
Novel 3D stretchable electronic strip could spark new possibilities for wearable e-textiles
Tue 02 Jul 2024
‘Malevolent’ traits can be important for athletic success – but could hinder athlete-coach relationships
Mon 10 Jun 2024
Our latest publications
Chapter 27 - an up-to-date systematic review on machine learning approaches for predicting treatment response in diabetes
Chapter 1 - a systematic review on intelligent diagnosis of diabetes using rule-based machine learning techniques
Optimizing connections: applied shortest path algorithms for MANETs
Evaluation of risk factors and survival rates of patients with early-stage breast cancer with machine learning and traditional methods
Enhancing network design through statistical evaluation of MANET routing protocols
Children's rights, human development and play - rejecting performance-orientated youth sport
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BCS, The Chartered Institute for IT
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Institute of Physics
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Chartered Society of Forensic Sciences
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Institute of Biomedical Science
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Institute of Mathematics and its Applications