MA Creative Writing
The MA Creative Writing at Leeds Trinity University is structured to help students deve...
MSc Data Science and Artificial Intelligence (With Placement)
Horsforth
INTAKE: January
Program Overview
The MSc Data Science and Artificial Intelligence (28 Months with Placement) at Leeds Trinity University offers an exceptionally comprehensive and extended postgraduate pathway, uniquely tailored for students commencing in January (and also available for September starts, with a slightly different structure). This prolonged full-time program integrates a crucial mandatory professional work placement year, providing an unparalleled opportunity for immersive learning and significant real-world experience in the rapidly evolving fields of data science and AI. It is specifically crafted for graduates from diverse academic backgrounds, including STEM and non-STEM disciplines, who possess a keen 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 and contributing to intelligent decision support systems. By developing strong analytical, logical, and critical thinking skills alongside substantial practical experience, Leeds Trinity ensures its graduates are exceptionally highly employable and equipped to make a profound impact in the digital era.
Curriculum: The curriculum of the 28-month MSc Data Science and Artificial Intelligence (With Placement) is strategically structured to provide a deep dive into data science and AI through a robust blend of academic theory and extensive practical application. The taught modules, typically completed in the first academic year, include 'Fundamentals for Data Science,' ensuring a strong foundation for all students. Core subjects like 'Programming for Data Science and Artificial Intelligence' delve into essential languages and their secure application for complex problem-solving. '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, MapReduce, Apache Kafka, and Tableau. The program also incorporates 'Ethics, Transparency, and Accountability,' addressing the crucial societal impact of data and AI. A significant component of the program is dedicated to the 'Professional Placement,' a 120-credit module where students apply their integrated knowledge within an authentic industry or research environment. The program culminates in a substantial 'Project,' allowing students to integrate their learning 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 fostering students' advanced research and analytical capabilities, enabling them to address complex contemporary challenges in data science and AI with a robust, evidence-based approach. Through various modules and the culminating 'Project,' students are encouraged to engage in critical thinking and problem-solving, applying theoretical knowledge to real-world data challenges. The School of Computer Science at Leeds Trinity University has specific research interests in areas such as facilitating Artificial Intelligence (AI) and digital twin technologies in intelligent systems, utilising generative AI in Higher Education, AI algorithms development, real-time simulation in digital twins, human-robot collaboration, and personalised learning through generative AI. The extended duration and the integrated professional placement provide unique opportunities for students to potentially engage with industry-relevant data or projects, further informing and enriching their own research, all under the guidance of academic supervisors who are active researchers in these fields.
Industry Engagement: Industry engagement is a distinguishing and integral feature of the MSc Data Science and Artificial Intelligence (28 Months with Placement) program, directly enhancing its relevance and preparing graduates for the demands of the global tech sector. The curriculum is collaboratively designed with key stakeholders, including employers and external advisors, ensuring it reflects current industry needs and skillsets. Expert lecturers, who often possess significant industry experience and conduct research within the data science and AI field, deliver the modules, providing practical insights and real-world case studies. The mandatory 'Professional Placement' year provides an unparalleled opportunity for students to gain extensive hands-on experience in a relevant professional setting, applying their skills with industry-level tools and technologies. Leeds Trinity University leverages its strong relationships with employer partners across the UK, including national organisations and local businesses, to facilitate diverse placement opportunities, enabling students to build valuable industry contacts and gain a substantial competitive edge in the job market upon graduation.
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 addresses how data is collected, processed, and utilised by every industry and organisation globally to inform decisions that benefit business, society, and the environment. The program is designed to create "accountable and responsible experts," recognising the profound global ethical and societal implications of AI and data. By welcoming applicants from diverse academic backgrounds and a significant cohort of international students, the program enriches classroom discussions with varied cultural viewpoints and global experiences. The skills taught, such as 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 (28 Months with Placement) program at Leeds Trinity University is designed to provide graduates with a highly advanced and practical skillset, preparing them for leadership roles in the data-driven economy. This extensive postgraduate degree, featuring a mandatory professional placement year, ensures graduates possess not only a robust theoretical foundation but also significant, invaluable real-world experience. This unique combination renders them exceptionally competitive and immediately impactful in the global job market, enabling them to transform complex data into actionable insights and develop innovative AI solutions across diverse industries.
Senior Data Scientist: With a deep theoretical understanding and extensive practical experience from the prolonged placement, graduates are exceptionally well-prepared to lead complex data initiatives, design sophisticated analytical models, and drive data-driven strategies within organisations, tackling intricate business challenges with confidence.
Lead Machine Learning Engineer: This role involves the design, building, deployment, and management of advanced machine learning models and AI systems at scale. The significant hands-on experience gained during the extended placement year is crucial for developing, optimising, and maintaining these intelligent solutions in real-world environments.
AI Solutions Architect: Graduates can specialise in designing and overseeing the comprehensive implementation of AI solutions across an organisation's technological infrastructure. Their thorough knowledge from the program, combined with substantial practical experience, enables them to create robust, scalable, and ethically sound AI architectures.
Big Data Engineer/Architect: With a profound grasp of data infrastructure and extensive hands-on experience in managing vast datasets, graduates can design, build, and maintain the complex systems required for large-scale data processing, storage, and analysis, often utilising cutting-edge cloud platforms and big data technologies.
Data Analytics Consultant: Graduates can leverage their combined expertise to advise a wide range of clients on data strategy, analytics implementation, and AI integration. The extended placement significantly enhances their ability to understand diverse business needs, articulate solutions, and deliver tailored, data-driven strategies that yield tangible results.
Research Scientist (AI/Data Science): For those driven by innovation and discovery, graduates can pursue roles in advanced R&D departments within companies, government agencies, or academic institutions, conducting cutting-edge research in AI algorithms, machine learning, and advanced data analysis techniques, often building upon their placement insights.
Quantitative Analyst (Quant) with AI Specialisation: In finance and related sectors, graduates can apply their advanced statistical, programming, and AI skills to develop highly sophisticated models for financial forecasting, algorithmic trading, risk assessment, and portfolio optimisation, bringing a robust, practical perspective.
Product Manager (AI/Data-driven Products): Combining their deep technical understanding with refined business acumen, graduates are uniquely positioned to oversee the development and entire lifecycle of AI-powered products or data-driven services. Their extensive practical experience allows them to effectively bridge the gap between technical teams and market demands.
Ethics and AI Governance Specialist: Given the program's strong emphasis on ethics, transparency, and accountability in AI, graduates are ideally suited for roles focused on ensuring the responsible development and deployment of AI systems, navigating complex regulatory landscapes, and addressing the societal impacts of AI with a practical understanding.
Advanced Business Intelligence (BI) Developer/Architect: Graduates can design and implement highly sophisticated business intelligence solutions, creating advanced dashboards, intricate reports, and compelling data visualisation tools that provide deep, actionable insights for strategic decision-making across various organisational functions, informed by real-world application.
