MSc Data Science and Artificial Intelligence (With Placement)

Horsforth

 

INTAKE: September

Program Overview

The MSc Data Science and Artificial Intelligence (2 years with Placement) at Leeds Trinity University is an advanced and highly practical postgraduate program meticulously designed for those aspiring to lead in the rapidly evolving fields of data science and artificial intelligence. This extended two-year full-time pathway, available with both September and January start dates (the latter including a summer break), crucially integrates a mandatory professional work placement year. 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 significant 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 2-year MSc Data Science and Artificial Intelligence (With Placement) is strategically structured to provide a robust blend of theoretical knowledge, practical skills, and real-world application. The taught modules, typically completed in the first 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 second year is dedicated to the 'Professional Placement,' allowing students to apply their integrated knowledge within an authentic industry or research environment, culminating in a substantial 'Project' that integrates 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 developing 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 facilitating Artificial Intelligence (AI) and digital twin technologies in intelligent systems, alongside utilising generative AI in Higher Education. 1 Focus areas include AI algorithms development, real-time simulation in digital twins, human-robot collaboration, and personalised learning through generative AI. The extended duration and placement provide unique opportunities for students to potentially engage with industry-relevant data or projects, further informing and enriching their own research, 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 (2 years 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 facilitates connections through its network of employer partners, enabling students to build valuable industry contacts and gain a 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.

Pollster Education

Location

Horsforth

Pollster Education

Score

IELTS 6.5

Pollster Education

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 (2 years with Placement) program at Leeds Trinity University is specifically designed to cultivate highly skilled professionals ready to excel in the rapidly expanding fields of data science and AI. This comprehensive postgraduate degree, with its crucial integrated professional placement year, provides graduates with not only a robust theoretical foundation but also extensive, invaluable real-world experience. This unique combination makes them exceptionally competitive and immediately impactful in the global job market, capable of transforming complex data into actionable insights and developing innovative AI solutions across diverse industries.

Senior Data Scientist: With a deep theoretical understanding and significant practical experience from the extended placement, graduates are well-prepared to lead data initiatives, design complex analytical models, and drive data-driven strategies within organisations, solving intricate business problems.

Lead Machine Learning Engineer: This role involves designing, building, deploying, and managing advanced machine learning models and AI systems at scale. The practical exposure gained during the placement year is invaluable for developing and optimising these intelligent solutions.

AI Solutions Architect: Graduates can specialise in designing and overseeing the implementation of AI solutions across an organisation's infrastructure. Their comprehensive knowledge from the program, combined with practical experience, enables them to create robust and scalable AI architectures.

Big Data Engineer/Architect: With a strong grasp of data infrastructure and extensive hands-on experience, graduates can design, build, and maintain the systems required for processing, storing, and analysing massive datasets, often utilising cloud-based platforms and cutting-edge 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 placement enhances their ability to understand diverse business needs and deliver tailored, data-driven solutions.

Research Scientist (AI/Data Science): For those passionate about pushing the boundaries of the field, graduates can pursue roles in R&D departments or academic institutions, conducting cutting-edge research in AI algorithms, machine learning, and advanced data analysis techniques.

Quantitative Analyst (Quant) with AI Specialisation: In finance and related sectors, graduates can apply their advanced statistical, programming, and AI skills to develop sophisticated models for financial forecasting, algorithmic trading, risk assessment, and portfolio optimisation.

Product Manager (AI/Data-driven Products): Combining their technical expertise with business acumen, graduates can lead the development and lifecycle of AI-powered products or services. Their practical experience allows them to bridge the gap between technical teams and market demands effectively.

Ethics and AI Governance Specialist: Given the program's emphasis on ethics, transparency, and accountability, graduates are well-suited for roles ensuring the responsible development and deployment of AI systems, navigating regulatory landscapes, and addressing societal impacts.

Advanced Business Intelligence (BI) Developer/Architect: Graduates can design and implement sophisticated business intelligence solutions, creating advanced dashboards, reports, and data visualisation tools that provide deep insights for strategic decision-making across various organisational functions.


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