MA Creative Writing
The MA Creative Writing at Leeds Trinity University is structured to help students deve...
MSc Data Science and Artificial Intelligence
Horsforth
INTAKE: September
Program Overview
The MSc Data Science and Artificial Intelligence at Leeds Trinity University is an advanced and highly relevant postgraduate program meticulously designed to equip students with the essential skills for navigating the complexities of the digital era's data landscape. Offered in various modes, including a 12-month full-time option (with September intakes), a 16-month full-time option (for January starts), and extended versions with professional placements, this program caters to graduates from diverse academic backgrounds, including STEM and non-STEM disciplines, who possess a keen interest in the tech sector. Developed in collaboration with key stakeholders, including employers and academics, the program aims to create a new generation of accountable and responsible experts capable of transforming raw data into valuable insights and contributing to intelligent decision support systems. It focuses on developing logical, explorative, analytical, and critical thinking abilities, ensuring graduates are highly employable and ready to make a significant impact in the rapidly growing fields of data science and AI.
Curriculum: The curriculum of the MSc Data Science and Artificial Intelligence is strategically structured to provide a robust blend of theoretical knowledge, practical skills, and real-world application. Core modules typically include 'Fundamentals for Data Science,' ensuring a strong foundation for all students by covering key data concepts and methods. 'Programming for Data Science and Artificial Intelligence' delves into essential programming languages and their secure application for complex problem-solving, emphasizing secure software development principles. 'Machine Learning' explores predictive modelling techniques, including neural networks and deep learning foundations, from practical perspectives. 'Big Data Analytics and Visualisation' equips students with skills to analyse vast datasets using industry tools such as Hadoop, Spark, Apache Kafka, and Tableau. The program also incorporates 'Ethics, Transparency, and Accountability,' addressing the crucial societal and environmental impact of data and AI. The program culminates in a substantial 'Project,' where students integrate their knowledge to design and implement a unique and impactful software solution or research, often with academic supervision and industry mentorship.
Research Focus: The MSc Data Science and Artificial Intelligence program at Leeds Trinity University places a strong emphasis on developing students' advanced research and analytical capabilities, enabling them to tackle real-world problems in the field with an evidence-based approach. Aided by active researchers, students are encouraged to develop skills in logical, explorative, analytical, and critical thinking for intelligent decision support systems. The 'Project' module is a cornerstone of this focus, allowing students to choose or invent their own data science and AI topic and create a unique project, integrating their knowledge to design and implement an impactful software solution or conduct in-depth research. This includes applying research methodologies, conducting thorough literature reviews, and presenting findings. The School of Computer Science has dedicated research interests in areas such as facilitating Artificial Intelligence (AI) and digital twin technologies in intelligent systems, alongside utilising generative AI in Higher Education, 1 with specific focus areas including AI algorithms development, real-time simulation in digital twins, Human-Robot Collaboration, and personalised learning through generative AI.
Industry Engagement: Industry engagement is a distinguishing and integral feature of the MSc Data Science and Artificial Intelligence program, directly enhancing its relevance and preparing graduates for the demands of the global tech sector. The curriculum is designed in close collaboration with key stakeholders, including employers and external advisors, ensuring it reflects current industry needs and desired skillsets. Expert lecturers, many with significant industry experience and active research within the Data Science and AI field, deliver the modules, providing practical insights and real-world case studies. The program emphasizes hands-on experience through practical exercises and assignments, with assessments often centered around real-world scenarios requiring the application of knowledge to solve given problems. While the 12 or 16-month options typically do not include an integrated professional placement year, the university highlights the opportunity for students to carry out professional work placements to put their learning into practice (available as extended program variants) and ensures access to industry-level tools and facilities such as Cloud Services, MLOps, ML Pipelines, Hadoop, and Tableau.
Global Perspective: The MSc Data Science and Artificial Intelligence program inherently adopts a strong global perspective, acknowledging the universal and pervasive nature of data and AI in today's interconnected world. The curriculum explores how data is collected, processed, and utilised by every industry and organisation globally to inform decisions that benefit businesses, society, and the environment. The program aims to create a new generation of "accountable and responsible experts" in Data Science and AI, recognising the profound global ethical and societal implications of these technologies. By welcoming applicants from diverse academic backgrounds and attracting a significant cohort of international students, the program enriches classroom discussions with varied cultural viewpoints and global experiences. The skills taught, including machine learning, big data analytics, secure software development, and responsible AI, are globally applicable, preparing graduates to tackle real-world data challenges in multinational enterprises and contribute to cutting-edge technological advancements on an international scale.
Location
Horsforth
Score
IELTS 6.5
Tuition Fee
£ 15000
Postgraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 55% or equivalent.
English language proficiency:
- IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.0.
- TOEFL: A minimum overall score of 79.
- PTE Academic: A minimum overall score of 59.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Leeds Trinity University is making higher education accessible and affordable for international students. The university offers a range of scholarships designed to support students financially and recognize their academic achievements. These scholarships aim to ease the financial burden of studying abroad and provide an opportunity for students to focus on their academic and personal growth.
International Scholarships: Leeds Trinity University offers scholarships to both undergraduate and postgraduate international students to help reduce tuition fees. These scholarships are awarded based on academic excellence and aim to assist talented students in pursuing their chosen degree programs. The university provides a significant number of scholarships to international students, helping to make their education in the UK more affordable.
International Merit Scholarships: Leeds Trinity University recognizes students with outstanding academic achievements through the International Merit Scholarships. These scholarships are awarded to students who demonstrate exceptional academic performance in their previous studies. International students who meet the eligibility criteria are awarded a discount on their tuition fees, making it easier for them to study at Leeds Trinity. These merit-based scholarships are highly competitive and reward students for their hard work and dedication.
Regional Scholarships: Leeds Trinity University offers regional scholarships to students from specific regions and countries. These scholarships aim to increase diversity and attract high-achieving students from underrepresented areas. Regional scholarships provide international students with a discount on their tuition fees and are available to students from selected countries. The scholarships not only help reduce tuition costs but also encourage students from various parts of the world to study at Leeds Trinity.
Alumni Scholarship: Leeds Trinity University offers an Alumni Scholarship for international students who have family members or relatives that previously studied at the university. This scholarship is designed to maintain the strong relationship between the university and its alumni community. Eligible international students can receive a discount on their tuition fees, making it easier for families to continue their educational legacy at Leeds Trinity University.
Sports Scholarships: Leeds Trinity University offers sports scholarships to international students who demonstrate excellence in their chosen sport. These scholarships provide financial support and access to the university's world-class sports facilities, allowing student-athletes to balance their academic studies with their athletic pursuits. Sports scholarships are available for both undergraduate and postgraduate international students and are aimed at fostering athletic talent alongside academic achievement.
The MSc Data Science and Artificial Intelligence program at Leeds Trinity University is designed to equip graduates with advanced skills in data analysis, machine learning, and AI model development, preparing them for the rapidly expanding digital and tech sectors. With a curriculum developed in collaboration with industry experts, the program emphasizes practical application, ethical considerations, and the transformation of raw data into actionable insights. Graduates gain proficiency in industry-standard tools and secure software development, making them highly sought after in various industries.
Data Scientist: Graduates can work in various sectors to collect, analyse, and interpret large and complex datasets, developing predictive models and providing data-driven recommendations to solve business problems or inform strategic decisions.
Machine Learning Engineer: This role involves designing, building, and deploying machine learning models and AI algorithms, automating tasks, developing intelligent systems, and integrating AI solutions into existing applications.
AI Developer: Graduates can specialise in developing AI-driven applications and systems, focusing on areas such as natural language processing, computer vision, or robotics, and contributing to innovative AI products and services.
Data Analyst: Focusing on extracting meaningful insights from data, graduates can work to identify trends, create reports, and visualise data to support business intelligence, operational efficiency, and decision-making across organisations.
Big Data Engineer: This role involves designing, building, and maintaining large-scale data processing systems and pipelines, ensuring data is efficiently collected, stored, and made accessible for analysis and AI applications.
Business Intelligence (BI) Analyst: Graduates can use data to help organisations make informed decisions by analysing data to identify trends, create dashboards, and provide insights into business performance, customer behaviour, and market dynamics.
AI Research Scientist: For those interested in pushing the boundaries of AI, this role involves conducting independent research on complex AI problems, developing new algorithms, and contributing to advancements in the field.
Technology Consultant (Data/AI Focus): Graduates can advise clients across various industries on how to leverage data science and AI technologies to improve their operations, develop new products, and achieve strategic objectives.
Data Architect: This position involves designing and managing an organisation's data infrastructure, ensuring data systems are scalable, secure, and efficient to support data science and AI initiatives.
Robotics Engineer (with AI focus): For those interested in hardware and software integration, graduates can contribute to the design, development, and programming of robots, often incorporating AI for advanced functionalities such as perception, navigation, and decision-making.
