inline-defaultCreated with Sketch.

This website uses cookies to ensure you get the best experience on our website.

Students
Tuition Fee
Start Date
2025-09-01
Medium of studying
On campus
Duration
Program Facts
Program Details
Degree
Masters
Major
Artificial Intelligence | Data Analytics | Data Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Intakes
Program start dateApplication deadline
2025-01-01-
2025-09-01-
About Program

Program Overview


MSc Data Science and Artificial Intelligence

Key Details

  • Start date(s): January 2025, September 2025
  • Study Mode: Full-time (1 year), Full-time (16 months), Full-time (2 years) with Placement, Full-time (28 months) with Placement, Part-time (2 years)
  • Location: Leeds City Campus
  • School: Computer Science

About This Course

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.


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 that inform data and AI.
  • Develop multi-disciplinary skills in statistics and computing.
  • 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.
  • There are various start dates to suit you.
  • Choose to study the MSc Data Science and Artificial Intelligence with a Professional Placement, and you will acquire experience in the workplace relevant to your future career, giving you a distinct advantage over other graduates.

Course Modules

Core Modules

  • Secure Software Development
  • Artificial Intelligence
  • Data Science and Visualisation
  • Responsible Computing
  • Project

Placement Year

  • Industry Placement
  • Research Project

Course Structures

  • September - Full-time, 1 year programme
  • September - Full-time, 2 years with Professional Placement
  • September - Part-time, 2 year programme
  • January - Full-time, 16 month programme
  • January - Full-time, 28 months with Professional Placement

Learning and Teaching

  • Assessment methods: Reports, Presentations, Portfolios, Software artefacts
  • Learning and teaching strategy: high quality teaching, engaging and inclusive approach to learning, assessment and achievement, clear structure through which you progress in your academic studies, your personal development and towards professional-level employment or further study.

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.
  • Our MSc programme is open to individuals from all backgrounds, not just computer science graduates.
  • We believe in the power of diverse perspectives and are dedicated to supporting you in pivoting your expertise.
  • Whether you hold an honours degree (minimum 2.2) in a computing-related subject or have equivalent professional experience in the field, or even if your degree is non-STEM, you are welcome to apply to us.

Fees and Finance

  • Funding: UK Home Students, International Students, including EU Students
  • Leeds Trinity Alumni Discount: 50% for Leeds Trinity graduates with a 1st class honours degree, 35% for Leeds Trinity graduates with a 2:1 honours degree, 20% for Leeds Trinity graduates with a 2:2 honours degree

How to Apply

  • Applications for January 2025 are now closed; applications for January 2026 will open in 2025.
  • Applications for September 2025 are open.
  • 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 (Monday to Thursday, 9.00am to 5.00pm, or Friday 9.00am to 4.00pm) or email [insert email]

Program Outline

MSc Data Science and Artificial Intelligence at Leeds Trinity University


Degree Overview:

This program aims to equip students with the necessary skills and knowledge to thrive in the era of big data and artificial intelligence. It focuses on developing data analysis, machine learning, and ethical AI expertise, alongside hands-on experience using industry-standard tools and technologies. The program prepares graduates for careers in data science, AI development, and related fields.


Outline:

  • Duration: Full-time (1 year) or Part-time (2 years)
  • Modules:
  • Fundamentals for Data Science
  • Programming for Data Science and Artificial Intelligence
  • Machine Learning
  • Big Data Analytics and Visualization
  • Ethics, Transparency and Accountability
  • Project (with options for individual interests and industry partnerships)
  • Course Structure:
  • Full-time: 3 semesters with a mix of lectures, workshops, and individual supervision.
  • Part-time: 4 semesters with a similar structure.
  • Assessment:
  • Continuous assessment throughout the program through assignments, projects, presentations, and examinations.
  • Focus on real-world problem-solving and application of knowledge.

Teaching:

  • Lecturers: Experienced professionals and academics with expertise in data science and AI.
  • Teaching Methods: Interactive lectures, hands-on workshops, individual supervision, and project work.
  • Unique Approach: Emphasis on ethical considerations and responsible AI development alongside technical skills.

Careers:

  • Potential Careers: Data Analyst, AI Developer, Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, Strategic Data Insight, and more.
  • Opportunities: The program prepares graduates for a wide range of roles in various industries, including technology, finance, healthcare, and research.
  • Outcomes: Graduates are equipped to contribute to decision-making processes based on data-driven insights and ethical considerations.

Other:

  • Scholarships: Available for eligible students from underrepresented groups.
  • Professional Work Placements: Available for students to gain practical experience.
  • Access to cutting-edge facilities and software: Including Cloud Services, ML Pipelines, Tableau, Hadoop, and more.

Additional Information:

  • The program welcomes students from diverse academic backgrounds, including those without prior experience in computer science.
  • The program aims to develop graduates who are not only technically skilled but also responsible and ethical in their use of data and AI.

Note:

This program information is based on the provided context. It is recommended to visit the official program website for the most up-to-date and detailed information.

SHOW MORE
About University
Masters
Bachelors
Diploma
Foundation
Courses

Leeds Trinity University


Overview:

Leeds Trinity University is a Catholic university located in Horsforth, Leeds, United Kingdom. It offers a transformational educational experience, aiming to create a fairer and more equitable society by fostering a welcoming and inclusive environment for all.


Services Offered:

    Study:

    Undergraduate and postgraduate programs, including apprenticeships, CPD and short courses, and research degrees.

    Careers + Placements:

    Professional work placements, study, work, and volunteer abroad opportunities, business development support, and a mentoring scheme.

    Student Life:

    Student life at LTU includes sports and activities, a Students Union, religious practice and expression, and opportunities to connect with students through online chat.

    Student Support and Wellbeing:

    Services include support for students with disabilities, mental health and wellbeing resources, and student health services.

    Accommodation:

    A range of accommodation options are available to students, providing a safe and supportive living environment.

Student Life and Campus Experience:

Leeds Trinity University offers a vibrant campus experience with a focus on student wellbeing and inclusivity. Students can participate in a variety of sports and activities, engage with the Students Union, and access support services for their academic and personal needs. The university also provides accommodation options for students to live independently in a safe and supportive environment.


Key Reasons to Study There:

    Transformational Educational Experience:

    LTU aims to provide a holistic education that prepares students for success in their chosen fields and contributes to a fairer and more equitable society.

    Welcoming and Inclusive Environment:

    The university strives to create a welcoming and inclusive environment for all students, regardless of their background or beliefs.

    Strong Focus on Student Support:

    LTU offers a wide range of support services to help students succeed academically and personally.

    Vibrant Campus Life:

    Students can enjoy a variety of sports, activities, and social events on campus.

    Opportunities for Global Engagement:

    LTU offers opportunities for students to study, work, and volunteer abroad.

Academic Programs:

Leeds Trinity University offers a wide range of undergraduate and postgraduate programs across various disciplines, including:

    Education:

    Primary Education, PGCE

    Business:

    Business and Management, Marketing, Finance

    Arts and Humanities:

    English Literature, History, Creative Writing

    Social Sciences:

    Criminology, Sociology, Psychology

    Health and Wellbeing:

    Sport and Exercise Science, Nutrition

    Digital and Screen Media:

    Digital Media, Film Production

Other:

Total programs
84
Admission Requirements

Entry Requirements:


UK and EU Home Students:

  • An Honours degree (minimum 2.2) in a computing-related subject.
  • Equivalent professional experience in the field of data science or artificial intelligence.

International Overseas Students:

  • An Honours degree (minimum 2.2) in any subject, but with a strong foundation in mathematics and statistics.
  • Proof of English language proficiency (e.g., IELTS score of 6.5 or equivalent).

Additional Requirements for All Applicants:

  • Applicants are expected to demonstrate a strong interest in data science and artificial intelligence, as well as the ability to think critically and solve problems.
  • They should also have excellent communication and interpersonal skills, as well as the ability to work independently and as part of a team.

Please note:

The University reserves the right to interview applicants to assess their suitability for the program.

Language Proficiency Requirements:


International Students:

  • Applicants whose first language is not English must provide evidence of English language proficiency.
  • This can be done by achieving a minimum score of 6.5 on the IELTS test, or equivalent on another recognized English language test. ## Additional Information for International Students:
  • For more information about the application process and visa requirements for international students, please visit the University's website.
  • ## Note:
  • This information is based on the data provided in the context.
  • If you require more specific information about entry requirements, please contact the University directly.
Location
Ambassadors
How can I help you today?