MSc Applied Sport and Exercise Biomechanics
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BSc (Hons) Computer Science (Data Science)
Twickenham
INTAKE: September
Program Overview
The BSc (Hons) Computer Science (Data Science) at St. Mary's University, Twickenham, is a specialised undergraduate degree meticulously crafted to address the surging demand for professionals capable of extracting meaningful insights from complex datasets. This hands-on program provides a strong foundation in core computer science principles while delving deeply into advanced data science topics, including artificial intelligence, machine learning, data visualisation, and robust data analysis techniques. The curriculum places a significant emphasis on practical application through diverse assessments such as data science projects, data case studies, computer-based tests, and presentations, moving beyond traditional written exams to align with real-world industry practices. This approach ensures graduates are equipped with the in-demand skills and expertise to lead in the rapidly evolving data-driven tech landscape. An optional industrial placement year is also available, offering valuable professional experience to further enhance employability.
Curriculum: The curriculum for the BSc (Hons) Computer Science (Data Science) is structured to provide a comprehensive and progressive understanding of data science principles and applications. The first year establishes foundational computer science skills with modules including Computer Systems and Networks, Mathematics for Computer Science, Programming Principles and Techniques, Database Systems, Object-Oriented Programming, 1 and Web Design and Development. As students advance, the second year introduces core data science concepts through modules such as Data Structures and Algorithms, Artificial Intelligence, Machine Learning, Data Analysis, Data Visualisation, and a crucial Team Project where students apply their skills to real-world client briefs. The final year features an Individual Project, allowing for specialised research or development in data science, complemented by advanced modules such as Software Testing and Quality Assurance, Big Data Analytics, Advanced Topics in Computer Science, and the Internet of Things, ensuring students are at the forefront of data science knowledge and its practical applications.
Research Focus: While the BSc (Hons) Computer Science (Data Science) is a highly practical undergraduate program, its curriculum at St. Mary's University is continuously informed by current research and ongoing developments within the data science, AI, and broader computer science fields. The academic staff, many of whom possess industry experience, actively integrate the latest insights in areas such as machine learning algorithms, big data processing, predictive modelling, and data visualisation techniques into their teaching. Students are consistently encouraged to develop strong analytical and research capabilities throughout the program, particularly through various data science projects, case studies, and their culminating final-year individual project. This project often involves addressing real-world data challenges, enabling students to engage in applied research and develop data-driven solutions with tangible impact across diverse industries.
Industry Engagement: Industry engagement is a fundamental aspect of the BSc (Hons) Computer Science (Data Science) program at St. Mary's University, designed to ensure graduates are highly employable and possess relevant, real-world skills. The university fosters strong connections with the tech industry through various initiatives. Students benefit from engaging lectures delivered by industry guest speakers, participate in hackathons and tech meetups, and have opportunities for field trips to leading tech organisations and industry partners. The curriculum includes a second-year team project where students develop software or data solutions for real clients, providing direct exposure to industry practices. Furthermore, students have the option to undertake an industrial placement or internship within data science or related computing sectors, offering invaluable professional experience. The university's London location provides unparalleled access to networking opportunities and potential career pathways with diverse industry partners seeking data science talent.
Global Perspective: The BSc (Hons) Computer Science (Data Science) program at St. Mary's University integrates a strong global perspective, preparing graduates to navigate the interconnected international landscape of data and technology. The curriculum explores universal data science principles, methodologies, and emerging technologies that transcend geographical boundaries, such as global data trends, international data privacy regulations, and the application of data science to solve global challenges in health, environment, and business. The program's emphasis on practical, industry-aligned skills ensures that the expertise developed is highly relevant and transferable across international markets. Moreover, the optional industrial placement year can expose students to multinational corporations or international projects, fostering an understanding of diverse working environments and cross-cultural collaboration in the global data economy.
Location
Twickenham
Score
IELTS 6
Tuition Fee
£ 17100
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 70% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
- TOEFL: A minimum overall score of 80.
- PTE Academic: A minimum overall score of 55.
- Some programs may have specific subject prerequisites or additional requirements.
St. Mary’s University Twickenham offers a variety of scholarships to support international students in financing their education and rewarding academic achievement. These scholarships are designed to ease the financial burden and recognize the talents and hard work of students coming from all over the world.
International Student Scholarships: St. Mary’s provides International Student Scholarships for students from a range of countries. These scholarships are typically partial fee reductions, aimed at making education more affordable. Eligible students are selected based on academic merit, financial need, and their potential to contribute to the university community. The scholarships are open to both undergraduate and postgraduate international students.
Vice-Chancellor’s Scholarship: The Vice-Chancellor’s Scholarship is one of the most prestigious awards available to international students at St. Mary’s University. This scholarship offers a significant reduction in tuition fees for high-achieving students, with eligibility determined by academic performance and specific course requirements. Students from a variety of regions, including Africa, Asia, and Latin America, are encouraged to apply for this highly competitive scholarship.
Country-Specific Scholarships: In addition to general international scholarships, St. Mary’s offers country-specific scholarships for students from certain regions. These scholarships provide additional financial assistance and are designed to support students from areas where educational opportunities may be limited. International students from Asia, Africa, Europe, and the Americas are often eligible for these specialized scholarships.
Sports Scholarships: For students excelling in sports, St. Mary’s University provides Sports Scholarships. These awards are available to talented athletes who demonstrate the potential to represent the university in competitive sports. Sports scholars benefit from personalized coaching, access to state-of-the-art facilities, and financial support to help balance academic and athletic commitments.
The BSc (Hons) Computer Science (Data Science) program at St. Mary's University, Twickenham, provides graduates with a robust blend of foundational computer science knowledge and highly specialised skills in data science. This degree equips individuals to navigate the intricate world of data, enabling them to extract meaningful insights, build predictive models, and drive data-informed decisions. Graduates from this program are prepared for the increasing demand for professionals skilled in data analysis, machine learning, and big data technologies across various industries.
Data Scientist: Graduates are expertly prepared to collect, clean, analyse, and interpret large and complex datasets. They apply statistical methods and machine learning algorithms to uncover patterns, build predictive models, and provide actionable insights that guide business strategy across sectors like healthcare, finance, technology, and manufacturing.
Data Analyst: These professionals focus on examining data to discover trends and insights that support decision-making. They are skilled in data manipulation, visualisation, and reporting, translating complex data into understandable narratives for various stakeholders within an organisation.
Machine Learning Engineer: With a strong foundation in AI and machine learning principles, graduates can design, build, and deploy machine learning models. They work on developing algorithms that enable systems to learn from data and make predictions or decisions, driving innovation in areas like automation and intelligent systems.
Data Engineer: Graduates are equipped to design, build, and maintain the infrastructure and systems that collect, store, and process large datasets. Their expertise ensures that data is readily available, reliable, and optimised for data scientists and analysts to perform their work effectively.
Business Intelligence (BI) Analyst/Developer: These professionals use data to provide insights into business performance, trends, and opportunities. They are skilled in creating dashboards, reports, and data visualisations that help organisations monitor key performance indicators and make informed strategic decisions.
Big Data Architect: Graduates can progress to roles where they design and manage the frameworks for managing and organising vast amounts of data. They create blueprints for data management systems, ensuring scalability, efficiency, and security for large-scale data initiatives.
Quantitative Analyst (Quant): Particularly relevant in the finance sector, these roles involve using complex mathematical and statistical models, often incorporating machine learning, to analyse financial data, assess risk, and develop trading strategies.
AI Researcher (with Data Science focus): For those interested in pushing the boundaries of data science, graduates can contribute to research and development of new AI and machine learning techniques, focusing on data-driven discovery and algorithmic advancements in academic or industrial research settings.
Database Administrator (DBA): With a solid understanding of database systems and data management, graduates can specialise in managing and maintaining an organisation's databases, ensuring data integrity, security, and efficient performance.
Data Product Manager: Combining technical knowledge with business acumen, these professionals oversee the development and lifecycle of data-driven products. They define product vision, gather requirements, and work with data scientists and engineers to bring data-intensive solutions to market.
