About this course
Unleash the Power of Data: Become an Expert in Data Science at NTU
At NTU, we understand that big data, machine learning, and artificial intelligence are transforming industries. That's why our goal is to equip you with the skills and knowledge to become an expert in data science.
Through our comprehensive program, you will develop a strong foundation in computer science, enabling you to extract valuable insights from data. Using a diverse set of statistical, algorithmic, and predictive tools, you will gain the ability to transform raw data into practical and actionable information, capable of predicting trends and driving outcomes.
Are you ready to take on the challenges presented by big data and artificial intelligence? Our curriculum will empower you to develop data-driven solutions that optimize business processes, as well as harness the power of data to support human decision-making.
But our approach goes beyond theory. You will have hands-on experience, applying your knowledge in real-world scenarios with a focus on the industrial application of computational intelligence. This practical experience, combined with the technical nature of our course, will prepare you to actively engage in industrial, commercial, scientific, and technological research and development of intelligent systems.
Join NTU and unleash your potential as a leader in the dynamic field of data science. Shape your future by harnessing the transformative power of data.
Foundation Year
We offer BSc (Hons) Data Science (with foundation year) which you can apply for if you don't meet the entry criteria for this course. See our course page for foundation modules.
You’ll develop key skills and knowledge essential to undertake the design of intelligent computer system solutions in the specialist areas related to Data Science and in more general areas of computer science.
About the Computer Science Team
We have a rich mix of knowledge ranging from software development for different types of system through to hardware aspects such as networking. This involves many uses of computing and considers all aspects including security and management. Our knowledge is built up and maintained through our wealth of industrial experience, our industrial links and our research activity. These are the ingredients for ensuring the relevance and vitality of your course.
Our highly regarded academics are active in a broad range of research areas, particularly in the areas of machine learning, AI, smart sensors, cyber security, virtual reality, Internet of Things and robotics to drive advances in health, education and wellbeing. The Computing and Informatics Research Centre (CIRC) unifies and provides an overarching research vision to our academics.
- Drive with Confidence - a safe and secure driving system to mitigate remote vehicle hijacking risks.
- SmartBerry - Artificial Intelligence to enhance strawberry farming in developing countries
- Hydra Cluster and Quantum Computing - high performance computing facility made out of 320 Field Programmable Gate Arrays (FPGAs) and networked control computers.
- Serious games and virtual environments - developing virtual environments and games for promoting cognitive and perceptual skills in people with intellectual disabilities.
Study abroad opportunities
Get ready to embark on an adventure with our study abroad programs at partner universities or by getting a work placement overseas. Both opportunities will boost your employability, build lifelong friendships, and allow you to experience the world in a whole new way.
Module information
Here’s a breakdown of what you’ll be studying throughout the course:
This module gives you a good introduction to the discipline of computer programming. It will be delivered in a way that supports you in learning the key fundamentals that are built on in following modules and gives you some idea of what is to come. It will also give you the freedom and help you develop the confidence to learn technical skills independently.
You will be introduced to methodical approaches to planning and developing programs to address real world problems in ways that reflect professional practice. This will involve you reflecting on your experiences and approaches.
20 credits
This module provides a foundational understanding of computer systems technology and
mathematical principles essential for computing. It establishes core principles that serve as
a foundation for your subsequent studies in computing. The module will help you develop
both technical understanding of computer systems and mathematical problem-solving skills
crucial for your computing degree.
20 credits
During this module you'll be introduced to programming languages for data science. You will learn how to import datasets, perform data manipulation and clean data before exploring how best to communicate and visualise the data using graphs etc.
20 credits
Using statistical software to analyse data, this module introduces you to important concepts, such as exploratory data analysis, probability, statistical inference, and statistical modelling.
20 credits
Introducing you to the fundamental principles of SAD, this module gives you a working knowledge of key systems development methodologies, techniques and tools.
20 credits
This module will provide you with a good introduction to the skills required to succeed on your computing degree. You will develop your ability to become an independent learner, through guidance from your personal tutor. You will learn how to carry out research in an area of computing, and learn techniques to present your findings. You will learn about current issues in society, business and the environment, with emphasis on the powerful role that computers and computer professionals play in a sustainable, technological society.
20 credits
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Continued professional development and lifelong learning are important to your future career. Through this module you'll improve your time and project management skills, presentations and report writing. This module also includes detailed guidance about the development of your CV and provides experience of selection assessments for industrial placement/graduate employment positions.
20 credits
The rate at which data is being stored is growing at a phenomenal rate and many businesses are struggling to analyse and make sense of this vast collection of data. This module will introduce you to a number of 'machine learning' techniques to process and discover patterns in data.
20 credits
The rate at which data is being stored is growing at a phenomenal rate and many businesses are struggling to analyse and make sense of this vast collection of data. This module will introduce you to a number of techniques to process and discover patterns in data.
20 credits
Understand the nature and application of database management systems and acquire skills for database administration and management.
20 credits
Refine your statistical inference and modelling knowledge and develop essential computational and IT skills.
20 credits
Gain an awareness of the regulations and responsibilities that organisations must uphold during processing and capturing data. You'll study potential security risks associated with data storage and learn the skills to mitigate these risks.
20 credits
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Optional year-long work placement. If you are not taking a placement, you will progress directly to your final year in year three.
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Core modules
Investigate problems in computing, implement solutions, critically evaluate and reflect on your work, and develop your abilities to communicate, self-organise and manage.
40 credits
Learn about the processes and techniques data scientists use to support the challenging workloads for data science by focusing on a range of distributed database technologies that can support big data.
20 credits
Consider how organisations manage the integration of key operational decisions such as improving client services, optimising internal business operations, and introducing new services based on insights from analytics. You'll cover data visualisation and the importance of user experience when designing interfaces and learn how to use appropriate tools to display information efficiently.
20 credits
Learn about the theoretical foundations of Artificial Intelligence (AI), the main methods and techniques and current areas of AI research and development.
20 credits
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Optional modules (choose one)
Develop an understanding of how to manage the build and deployment of enterprise and Internet information systems within small to medium organisations.
20 credits
Extends your experience of statistical techniques and methodologies, applying them in various industrial and commercial contexts.
20 credits
An opportunity for you to gain valuable transferable skills working as a ‘student-tutor’ with teachers in local schools or to work on a community-based project.
20 credits
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We regularly review our course content based on student and employer feedback to ensure they remain current and relevant. This may result in changes to module content or availability in future years. Optional modules will only run where there is sufficient demand. This will be determined on a case-by-case basis to protect the academic and student experience.
How you're taught
You’ll learn through a mix of:
- lectures - covering the key theories
- seminars - smaller-group sessions perfect for learning key skills and collaborative working
- practical sessions - using our extensive range of industry-standard facilities
- workshops - this includes surgery sessions where you’ll meet with your lecturer in small groups to discuss any problems or work through challenging topics.
The rest of your time will be spent carrying out independent study such as reading textbooks and lecture notes, and working on exercises.
A placement year may be taken between Year Two and Year Three of study.
Learn a new language
Alongside your study, you also have the opportunity to learn a new language. The University Language Programme (ULP) is available to all students and gives you the option of learning a totally new language or improving the skills you already have. Find out more about the ULP.
How you're assessed
You’ll be assessed by a variety of methods including: coursework, which will reflect methods industry requirements and practical and written assessments.
An assessment and feedback schedule will be provided at the start of each year to allow you to plan your time. Timely and constructive feedback will be given and you’ll be encouraged to understand and act on it, and to set targets for future learning and assessment.
Coursework assessments will provide work-like experience in software development projects, including the use of industry-standard integrated development environment and testing packages, and the application of project management methodologies. Employers supply real-world projects and are invited as guest speakers to give technical or professional development presentations.
Contact hours
For each 20-credit module, you’ll spend about 200 hours learning overall. Around 40 of those hours will be taught in lectures or seminars. The rest of the time is for independent study, reading, research, or working on assignments.
Who will teach you?
Entry requirements
UK students
- Standard offer: 120 UCAS Tariff points from up to four qualifications including A-level or equivalent IT, Maths or science grade C
- Contextual offer: 112 UCAS Tariff points from up to four qualifications including A-level or equivalent IT, Maths or science grade C
To find out what qualifications have tariff points, please use our tariff calculator.
Additional requirements for UK students
There are no additional requirements for this course.
Contextual offers
If you don’t quite meet our entry requirements, we might be able to make you a lower offer based on a range of factors, including your background (such as where you live and the school or college you attended), your experiences and your individual circumstances (you may have been in care, for example). This is called a contextual offer, and we get data from UCAS to help make these decisions. We do this because we believe everyone with the potential to succeed at NTU should have the opportunity to do so, no matter what barriers you may face.
Meeting our entry requirements
Hundreds of qualifications in the UK have UCAS Tariff points attached to specific grades, including A-levels, BTECs, T Levels and many more. You can use your grades and points from up to four different qualifications to meet our criteria. Enter your predicted or achieved grades into our Tariff calculator to find out how many points your qualifications are worth.
Other qualifications and experience
NTU welcomes applications from students with non-standard qualifications and learning backgrounds, either for year one entry or for advanced standing beyond the start of a course into year 2 or beyond.
We consider study and/or credit achieved from a similar course at another institution (otherwise known as credit transfer), vocational and professional qualifications, and broader work or life experience.
Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available for this route. If you wish to apply via Recognition of Prior Learning, please contact the central Admissions and Enquiries Team who will be able to support you through the process.
Getting in touch
If you need more help or information, get in touch through our enquiry form.
International students
- Academic entry requirements: 120 UCAS Tariff points from up to four qualifications including A-level or equivalent IT, Maths or science grade C. We accept equivalent qualifications from all over the world. Please check your international entry requirements by country.
- English language requirements: See our English language requirements page for requirements for your subject and information on alternative tests and Pre-sessional English.
Additional requirements for international students
If you need help achieving the academic entry requirements, we offer a Foundation preparation course for this degree. The course is offered through our partner Nottingham Trent International College (NTIC) based on our City Campus.
English language requirements
View our English language requirements for all courses, including alternative English language tests and country qualifications accepted by the University.
If you need help achieving the language requirements, we offer a Pre-Sessional English for Academic Purposes course on our City campus which is an intensive preparation course for academic study at NTU.
Other qualifications and experience
If you have the right level of qualifications, you may be able to start your Bachelors degree at NTU in year 2 or year 3. This is called ‘advanced standing’ entry and is decided on a case-by case basis after our assessment of your qualifications and experience.
You can view our Recognition of Prior Learning and Credit Transfer Policy which outlines the process and options available, such as recognising experiential learning and credit transfer.
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Sign up to receive regular emails from the International Office. You'll hear about our news, scholarships and any upcoming events in your country with our expert regional teams.
Getting in touch
If you need advice about studying at NTU as an international student or how to apply, our international webpages are a great place to start. If you have any questions about your study options, your international qualifications, experience, grades or other results, please get in touch through our enquiry form. Our international teams are highly experienced in answering queries from students all over the world.
Policies
We strive to make our admissions procedures as fair and clear as possible. To find out more about how we make offers, visit our admissions policies page.






