Computer Science
Start date(s)
September 2023
Study Mode
Full time (1 year)

Course overview

Are you interested in understanding your right to know how and where data is used in the digital era? Do you want to contribute to improving decision-making on critical and complex problems?

In today's world, we rely increasingly on technologies such as phones, computers, and IoT devices to shop, bank, travel, communicate, socialise, manage and monitor health conditions. As a result, data is being collected at an unprecedented rate, by every industry and organisation, to inform decisions that benefit their business, society, and the environment. This programme aims to create a new generation of accountable and responsible experts in Data Science and AI, reflecting the needs of employers and the skillset and qualities that define proficiency in these fields. Get ready to empower yourself and make a positive impact in the world of data science and AI.

This course is subject to validation. You can still apply for this course while it is being approved. 

The Student Contract

About this course

Designed in collaboration with key stakeholders including students, employers, academics and external advisors, this programme aims to enable you to develop skills of logical, explorative, analytical and critical thinking in intelligent decision support systems.

Delivered by expert lecturers and industry experts with evidence of research within the Data Science and AI field, each module covers essential elements of data and intelligence with increasing complexity of the knowledge and skills you will need to understand in the digital era.

Real-world case studies will be used throughout the course, and you’ll also have the opportunity to carry out a professional work placement, putting into practice what you’ll learn in your taught sessions.

You’ll also have access to equipment and facilities including Cloud Services, MLOps and ML Pipelines, as well as specialised software such as Hadoop and MapReduce, Apache Kafka and Storm and Tableau for big data and data visualisation.

On successful completion of the MSc Data Science and Artificial Intelligence, you could work in a number of roles, which could include Data Analyst, Strategic Data Insight, AI Developer, AI Data Engineer, Business Intelligence Analyst, ML Engineer or Data Scientist.

This degree will also prepare you for further study, such as pursuing a PhD.

Artificial Intelligence and Data Science Scholarships

Applicants with a conditional or unconditional offer for our MSc in Data Science and Artificial Intelligence programme may be eligible to apply for a scholarship from the Office for Students. 

Applicants will need to demonstrate that they fall under at least one of the nine underrepresented groups as identified by the OfS, with scholarships prioritised for women, black students, students registered disabled and those from low socioeconomic backgrounds, to increase diversity in the tech sector.

For full eligibility criteria and further information, visit our MSc Data Science and Artificial Intelligence Scholarship page and our news page.

Why study with us

  • Gain hands-on experience with access to real-world assessment strategies and successfully demonstrate industry-based skills and innovation in decision support and data-driven decision-making.
  • Acquire knowledge of ethical and legal issues which inform data and AI.
  • Develop multi-disciplinary skills of statistics and computing skills.
  • Put into practice what you learn in taught sessions with professional work placements, working on real-world problems.
  • Receive financial support through a PG loan or bursary. For more information and full eligibility criteria on the Artificial Intelligence and Data Science Scholarship, visit our MSc Data Science and Artificial Intelligence Scholarship page.


You will study a variety of modules across your programme of study. The module details given below are subject to change and are the latest example of the curriculum available on this course of study.

Fundamentals for Data Science

A range of fundamental algorithms and data structures will be mastered, enabling you to harness the power of data science to tackle everyday challenges such as predicting your house price in a decade or finding a cure for a disease. With hands-on experience, you'll learn how to harness the key processes of data science to conquer real-world problems. Say goodbye to theory and hello to practical, applied knowledge.

Programming for Data Science and Artificial Intelligence

You'll gain the knowledge and power to conquer real-life data challenges, taking a comprehensive journey through the entire data lifecycle within organisations. This module will introduce you to cutting-edge issues of data handling and equip you with powerful programming tools for science, data structures, data cleaning, and manipulation. Immerse yourself in the inner workings of algorithms and data structures as you unlock the key to developing computational decision-making systems and analysing data to gain insights.

Machine Learning 

To tackle real-world problems head-on, you'll be equipped with the tools and techniques using cutting-edge machine learning concepts and techniques. With a focus on practical, problem-solving perspectives, you'll learn the machine learning stages to model intelligent predictive solutions.

You'll have the opportunity to practice a range of algorithms, from fundamental linear regression and decision trees to advanced techniques such as neural networks and deep learning. You'll be able to turn raw data into actionable insights, predict outcomes, and uncover hidden secrets using industry-level tools like MLOps, ML pipelines, scheduled runs, and the cloud.

Big Data and Visualisation

Gain insight into cutting-edge technologies and techniques for analysing vast amounts of data and extracting valuable insights. From powerful analysis methods to visualisation tools, you'll learn how to transform raw data into a wealth of information that can enhance decision-making. By using digital-age tools such as Hadoop and Spark, you'll be able to process massive datasets ranging from terabytes to petabytes, unlocking hidden secrets, uncovering trends and patterns, and gaining a competitive edge through your newfound knowledge.

Ethics, Transparency and Accountability

Exploring the societal and environmental impact of data and models, you'll delve into the ethical and legal considerations that are fundamental to the field. Through hands-on experience, you'll learn how to examine data solutions and their potential impact on humanity and the greater good. As they say, with great power comes great responsibility, and this is especially true in the world of data science and artificial intelligence. It's your opportunity to explore what it means to be responsible and accountable for your actions when developing such powerful models. Not only will you learn about the latest legal and ethical frameworks, but you'll also discover the right to public intelligence.


In this module, you'll have the freedom to choose or invent your own data science and AI topic and create a truly unique project, guided by an academic supervisor and industry mentor. With options ranging from innovative ideas to building upon exciting projects from industry partners, the possibilities are endless. You'll have the chance to integrate your knowledge to design and implement a truly impactful software solution. As you delve deeper into your project, you'll document your findings and bring your ideas to life with a comprehensive dissertation. This is your opportunity to contribute to the field of data science and AI and showcase your mastery of the subject.


Course structure

Fundamentals for Data Science  10 x 3-hour sessions 


Programming for Data Science and Artificial Intelligence  10 x 3-hour sessions 
  Machine Learning 

10 x 4-hour sessions

2 Big Data Analytics and Visualisation

10 x 4-hour sessions

  Ethics, Transparency and Accountability  10 x 4-hour sessions
3 Project

5 x 3-hour workshops

6 x 30 minute individual supervision meetings/tutorials

Learning and Teaching

At Leeds Trinity we aim to provide an excellent student experience and provide you with the tools and support to help you achieve your academic, personal and professional potential.

Our Learning, Teaching and Assessment Strategy delivers excellence by providing the framework for:

  • high quality teaching
  • an engaging and inclusive approach to learning, assessment and achievement
  • a clear structure through which you progress in your academic studies, your personal development and towards professional-level employment or further study.

We have a strong reputation for developing student employability, supporting your development towards graduate employment, with relevant skills embedded throughout your programme of study.

We endeavour to develop curiosity, confidence, courage, ambition and aspiration in all students through the key themes in our Learning and Teaching Strategy:

  • Student Involvement and Engagement
  • Inclusion
  • Integrated Programme and Assessment Experience
  • Digital Literacy and Skills
  • Employability and Enterprise

To help you achieve your potential we emphasise learning as a collaborative process, with a range of student-led and real-world activities. This approach ensures that you fully engage in shaping your own learning, developing your critical thinking and reflective skills so that you can identify your own strengths and weaknesses, and use the extensive learning support system we offer to shape your own development.

We believe the secret to great learning and teaching is simple: it is about creating an inclusive learning experience that allows all students to thrive through:

  • Personalised support
  • Expert lecturers
  • Strong connections with employers
  • An international outlook
  • Understanding how to use tools and technology to support learning and development


You will be assessed by coursework throughout the duration of your degree. There are no exams.

Entry Requirements

Leeds Trinity University is committed to recruiting students with talent and potential and who we feel will benefit greatly from their academic and non-academic experiences here. We treat every application on its own merits; we value highly the experience you illustrate in your personal statement.

The following information is designed to give you a general overview of the qualifications we accept. If you are taking qualifications that are not included below, please contact our Admissions Office who will be happy to advise you.

  • The typical entry requirement is an honours degree (minimum 2.2) in a computing-related subject. Alternatively, we will consider applicants with equivalent professional experience in a computing-related subject or non-STEM degree. If needed, you will be asked to complete a pre-course assessment task where formal academic entry requirements are not met.
  • Minimum English Language entry requirements: IELTS Academic 6.0 (with no less than 5.5 in any component) or equivalent


          You do not need to provide evidence of your English Language if any of the following conditions apply:

To view academic requirements by country, visit our International Applicants page

Please contact us for personalised advice on 0113 283 7123 or at

Fees and finance


UK Home Students:

For information about our tuition fees please visit our Student Fees and Finance pages.

If you studied your undergraduate degree at Leeds Trinity University, you may be eligible for a discount of up to 50% on the cost of your tuition fees.

International Students, including EU Students:

Visit our web page for international students.

Artificial Intelligence and Data Science Scholarships

Applicants with a conditional or unconditional offer for our MSc in Data Science and Artificial Intelligence programme may be eligible to apply for a scholarship from the Office for Students. 

Applicants will need to demonstrate that they fall under at least one of the nine underrepresented groups as identified by the OfS.

For full eligibility criteria and further information, visit our MSc Data Science and Artificial Intelligence Scholarship page and our news page.

Leeds Trinity Alumni Discount

Some Leeds Trinity graduates are eligible for a tuition fee discount on postgraduate courses of up to 50%, excluding PGCE Provider-led, School Direct or SCIT courses and Masters by Research courses. You will need to achieve a 2:2 or above in a Leeds Trinity undergraduate course to qualify.

MA/MSc programmes and LLM Law 50% for graduates with a 1st class honours degree
MA/MSc programmes and LLM Law 35% for graduates with a 2:1 honours degree
MA/MSc programmes and LLM Law 20% for graduates with a 2:2 honours degree

MA Childhood and Education/MA Education/MA Family Support

MA Mental Health in Children and Young People

20% for PGCE graduates if none of the above apply

How to apply

There is no official closing date for applications, but the course will be closed when it is full. We therefore encourage you to make your application as early as possible.

Please ensure you complete the application form in full and supply all the required supporting documentation when you make your initial application. Incomplete applications may be rejected.

If you need advice on your application, please contact our admissions team on 0113 283 7123 (Monday to Thursday, 9.00am to 5.00pm, or Friday 9.00am to 4.00pm) or


Applicants who require a Student Route Visa

If you require a Student Route Visa in order to study in the UK, then you must apply to us by Wednesday 31 May 2023. You must also meet all the conditions of your offer and present all supporting documentation required for the visa application no later than Friday 30 June 2023. Part-time study is not available for international students on a Student Route Visa.

To view academic requirements by country, visit our International Applicants page


What happens next?

Our admissions team will acknowledge receipt of your application by email. Where applications are submitted but references are still in progress, admissions will wait for the reference(s) to be received and then will process it, and forward to the relevant Programme Leader within five days of receipt of the reference(s).

The Programme Leader will make a decision based on your application. You may be asked to provide a reference to demonstrate your academic and non-academic experiences, or you may be invited to attend an interview. If you are successful and made an offer, the conditions will be outlined in your offer letter. 

Applications will be acknowledged within five working days. Applicants will be contacted within 15 working days with a request for additional information, invite to an informal interview or an application decision.

Made an offer?

You should accept or decline your offer by emailing

If you accept, you'll need to prove you satisfy the conditions outlined in your offer letter.

You may be asked to present the relevant supporting documentation in person to the student information point on campus, if originals are not needed you’ll be contacted and given details of how to provide the supporting documentation.

Receive an alumni discount

If you studied your undergraduate degree at Leeds Trinity University, you may be eligible for a discount of up to 50% on the cost of your postgraduate tuition fees. 

Visit our Student Finance pages to find out more.