MSc International Finance & Investment
The MSc International Finance & Investment program at Leeds Beckett University is d...
BSc (Hons) Data Science
Leeds Beckett - City Campus
INTAKE: September
Program Overview
Leeds Beckett University, located in the vibrant city of Leeds, UK, offers a prestigious BSc (Hons) Data Science program designed to equip students with the skills and knowledge needed to thrive in the rapidly evolving field of data science. This comprehensive program combines theoretical foundations with practical applications, preparing graduates for diverse and rewarding careers in data analysis, machine learning, and artificial intelligence.
Curriculum: The curriculum of the BSc (Hons) Data Science program at Leeds Beckett University is carefully crafted to cover a wide range of topics essential to the field. Students study core concepts in mathematics, statistics, computer science, and data analytics, alongside specialized modules in areas such as data visualization, machine learning, big data technologies, and data ethics. Through hands-on projects, case studies, and industry-relevant coursework, students develop proficiency in data manipulation, analysis, interpretation, and presentation, acquiring the technical and analytical skills needed to extract valuable insights from complex datasets.
Research Focus: Research is an integral part of the BSc (Hons) Data Science program at Leeds Beckett University, with opportunities for students to engage in research projects that advance the field of data science. Whether investigating new algorithms for machine learning, exploring techniques for data mining and pattern recognition, or analyzing real-world datasets to solve practical problems, students contribute to the development of knowledge and expertise in data science while honing their research skills and critical thinking abilities.
Industry Engagement: Leeds Beckett University maintains strong links with industry partners, providing students of the BSc (Hons) Data Science program with valuable opportunities for industry engagement and practical experience. Through guest lectures, industry projects, and placement opportunities, students gain firsthand insights into the latest trends, technologies, and applications in data science. Industry partnerships also facilitate networking opportunities and enhance students' employability upon graduation, as they have the chance to collaborate with leading professionals and organizations in the field.
Global Perspective: In an increasingly interconnected world, the BSc (Hons) Data Science program at Leeds Beckett University emphasizes the importance of a global perspective. Students explore data science challenges and opportunities on a global scale, considering cultural, social, and ethical dimensions. Through international case studies, cross-cultural discussions, and engagement with global data science initiatives, students develop a broad understanding of the global landscape of data science and prepare to address data-driven challenges in diverse contexts and environments.
Location
Leeds Beckett - City Campus
Score
IELTS 6
Tuition Fee
£ 14000
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 60% 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 score of 79, with a minimum of 17 in each component.
- PTE Academic: A minimum overall score of 54 with no individual score below 51.
- Some programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Leeds Beckett University offers various scholarships and financial support options to eligible students. These scholarships aim to recognize academic excellence, support talented individuals, and provide opportunities for students who may face financial constraints.
Vice Chancellor's Scholarship: This prestigious scholarship is awarded to exceptional students who have demonstrated outstanding academic achievements and personal accomplishments. It provides a partial tuition fee waiver for the duration of the program.
Academic Excellence Scholarship: This scholarship is available to international students who have demonstrated exceptional academic performance. It offers a partial tuition fee reduction for the first year of study.
Sports Scholarships: Leeds Beckett University offers sports scholarships to talented athletes who compete at a regional, national, or international level. These scholarships provide financial support, access to sports facilities, and mentoring programs.
Carnegie School of Sport Elite Athlete Scheme: This scheme supports elite athletes who are studying at Leeds Beckett University. It offers tailored support, flexible study arrangements, and access to world-class sports facilities.
Care Leaver and Estranged Student Scholarships: Leeds Beckett University provides additional support for students who have experienced care or are estranged from their families. These scholarships offer financial assistance and dedicated support services.
Subject-Specific Scholarships: Some academic schools within Leeds Beckett University may offer subject-specific scholarships for outstanding students in certain disciplines. These scholarships may vary in terms of eligibility criteria and benefits.
Graduates of Leeds Beckett University's BSc (Hons) Data Science program possess a diverse skill set that opens doors to a wide range of rewarding career opportunities in the rapidly growing field of data science.
Data Analyst: Many graduates pursue careers as data analysts, where they work with large datasets to extract insights and inform decision-making. They clean, preprocess, and analyze data using statistical techniques and data visualization tools, providing valuable insights to organizations across various industries.
Machine Learning Engineer: With expertise in machine learning algorithms and techniques, graduates may work as machine learning engineers, developing and implementing predictive models and algorithms to solve complex business problems. They train and optimize machine learning models, deploy them into production systems, and monitor their performance over time.
Data Engineer: Data engineers are responsible for designing, building, and maintaining the infrastructure and systems needed to manage and process large volumes of data. Graduates may work as data engineers, developing data pipelines, data warehouses, and ETL (extract, transform, load) processes to ensure efficient and reliable data processing.
Business Intelligence Analyst: Business intelligence analysts use data to help organizations make strategic decisions and improve performance. Graduates may work as business intelligence analysts, gathering and analyzing data to identify trends, patterns, and insights that drive business growth and competitive advantage.
Data Scientist: Data scientists are multidisciplinary professionals who combine expertise in statistics, machine learning, programming, and domain knowledge to solve complex data-driven problems. Graduates with a BSc (Hons) Data Science degree are well-equipped to pursue careers as data scientists, working on projects such as predictive modeling, recommendation systems, and customer segmentation.
Data Consultant/Advisor: Some graduates choose to work as data consultants or advisors, providing strategic guidance and expertise to organizations on data-related issues. They may advise on data strategy, governance, and compliance, helping organizations leverage their data assets effectively and responsibly.
Quantitative Analyst (Quant): Quantitative analysts, or quants, apply mathematical and statistical methods to financial and risk management problems. Graduates with a strong quantitative background may work as quants in finance, developing models and algorithms for trading, risk assessment, and portfolio optimization.
Research Scientist: Graduates interested in research may pursue careers as research scientists, working in academia, industry, or research institutions. They may conduct research in areas such as artificial intelligence, machine learning, or computational biology, contributing to the advancement of knowledge and technology in their field.
Data Journalism/Data Storytelling: With the rise of data-driven journalism, graduates may work as data journalists or data storytellers, using data analysis and visualization techniques to uncover and communicate compelling stories. They may work for media organizations, news outlets, or research institutions, helping to inform and engage the public on important issues.
