MA Creative Writing
The MA Creative Writing at Leeds Trinity University is structured to help students deve...
Horsforth
INTAKE: January
The MSc Data Science and Artificial Intelligence (16 Months) at Leeds Trinity University is a cutting-edge postgraduate program specifically designed to address the growing global demand for specialists in AI and data analysis. This full-time pathway, typically commencing in January and incorporating a structured summer break, provides an intensive yet comprehensive learning experience. It is open to graduates from diverse academic backgrounds, including STEM and non-STEM disciplines, demonstrating an interest in the tech sector. The program aims to cultivate a new generation of accountable and responsible experts capable of transforming raw data into valuable insights, contributing to intelligent decision support systems. By developing strong analytical, logical, and critical thinking skills, Leeds Trinity ensures its graduates are highly employable and equipped with the in-demand expertise to make a positive impact in the digital era.
Curriculum: The curriculum of the 16-month MSc Data Science and Artificial Intelligence program is meticulously structured to provide students with a robust foundation and advanced skills across the data lifecycle. It begins with 'Fundamentals for Data Science' to ensure all students, regardless of their academic background, have the necessary core knowledge. Key modules include 'Programming for Data Science and Artificial Intelligence,' which covers essential languages and their applications for solving complex problems securely. 'Machine Learning' delves into predictive modeling techniques from practical, problem-solving perspectives, including neural networks and deep learning foundations. 'Big Data Analytics and Visualisation' equips students with skills to analyse vast datasets using industry tools like Hadoop and Tableau. The program also includes 'Ethics, Transparency, and Accountability,' addressing the societal impact of data and AI. The culmination is a 'Project,' allowing students to integrate their knowledge into a unique, impactful software solution or research.
Research Focus: The MSc Data Science and Artificial Intelligence program at Leeds Trinity University places a strong emphasis on developing students' research and analytical capabilities. The curriculum encourages students to engage in critical thinking and problem-solving, applying theoretical knowledge to real-world data challenges. Through various modules, students are exposed to methodologies for data processing, analysis, and interpretation. The 'Project' module is a cornerstone of the research focus, providing students with the opportunity to choose or invent their own data science and AI topic, developing a truly unique and impactful software solution or conducting in-depth research. This allows them to contribute to the field, integrate their learning, and showcase their mastery of the subject, often guided by academic supervisors and potentially industry mentors, aligning with the School of Computer Science's broader research interests in 'Computing for Good.'
Industry Engagement: Industry engagement is a core component of the MSc Data Science and Artificial Intelligence program, ensuring its relevance and preparing graduates for the demands of the tech sector. The curriculum is designed in collaboration with key stakeholders, including employers and external advisors, reflecting current industry needs and skillsets. Expert lecturers, who often have industry experience and research within the data science and AI field, deliver the modules, providing practical insights and real-world case studies. Students gain hands-on experience with industry-level tools and access advanced facilities, including Cloud Services, MLOps, ML Pipelines, and specialised software such as Hadoop, MapReduce, Apache Kafka, Storm, and Tableau. While the 16-month program typically focuses on intensive academic study, it primes graduates with the practical skills and knowledge highly sought after by employers in the data and AI domain.
Global Perspective: The MSc Data Science and Artificial Intelligence program inherently encompasses a global perspective, acknowledging the universal and pervasive nature of data and AI in today's interconnected world. The curriculum addresses how data is collected and used by every industry and organisation globally to inform decisions that benefit business, society, and the environment. The program aims to create "accountable and responsible experts," recognising the global ethical and societal implications of AI and data. By welcoming applicants from diverse academic backgrounds and potentially international students, the program enriches classroom discussions with varied viewpoints and experiences. The skills taught, such as machine learning, big data analytics, and secure software development, are globally applicable, preparing graduates to tackle real-world data challenges in international enterprises and contribute to global technological advancements.
Horsforth
IELTS 6.5
£ 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:
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 (16 Months) program at Leeds Trinity University is designed to equip graduates with highly sought-after skills in a rapidly evolving technological landscape. This intensive postgraduate degree focuses on transforming individuals from diverse academic backgrounds into proficient data scientists and AI specialists, ready to contribute to data-driven decision-making across various sectors. Graduates are prepared to analyse complex datasets, develop intelligent solutions, and address the ethical considerations inherent in AI and data science.
Data Scientist: Graduates are well-equipped to collect, clean, analyse, and interpret large and complex datasets to identify trends, build predictive models, and provide actionable insights that inform strategic business decisions. They leverage machine learning algorithms and statistical methods learned in the program.
Machine Learning Engineer: This role involves designing, building, and deploying machine learning models and AI systems. Graduates apply their knowledge of algorithms, deep learning, and programming to create intelligent solutions for automation, prediction, and pattern recognition.
AI Developer/Engineer: Focusing on the development and implementation of artificial intelligence applications, graduates can work on projects involving natural language processing, computer vision, robotics, or expert systems, translating AI theory into practical solutions.
Business Intelligence (BI) Analyst: Graduates utilise data to help organisations make informed decisions by analysing performance data, identifying key trends, and creating visual dashboards and reports that highlight business opportunities and challenges.
Data Analyst: This role involves managing, analysing, and reporting on an organisation's data. Graduates are skilled in working with various data sources, performing data cleaning, and presenting findings to stakeholders in a clear and concise manner.
Big Data Engineer/Architect: With expertise in handling vast datasets, graduates can design, build, and maintain the infrastructure and systems required for big data processing, storage, and analysis using tools like Hadoop, Spark, and cloud platforms.
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, often in academic or R&D settings.
Analytics Consultant: Graduates can work for consulting firms, advising diverse clients on how to leverage data and AI to solve specific business problems, improve operations, or gain a competitive edge through data-driven strategies.
Quantitative Analyst (Quant): In finance and related sectors, graduates can apply their data science and AI skills to build mathematical and statistical models for financial forecasting, risk management, algorithmic trading, and portfolio optimisation.
Product Manager (AI/Data Products): Combining their technical understanding with business acumen, graduates can oversee the development and lifecycle of AI-powered products or data-driven services, ensuring they meet market needs and business objectives.