BSc Accounting
The BSc Accounting program at Queen's University Belfast is designed to provide stu...
BSc Data Science with Year of Professional Experience
Belfast
INTAKE: September
Program Overview
Queen's University Belfast, located in the vibrant city of Belfast, Northern Ireland, is a prestigious institution known for its academic excellence and research-driven approach. The BSc Data Science with Year of Professional Experience program offered by Queen's University Belfast is designed to equip students with the knowledge and skills necessary to thrive in the rapidly evolving field of data science. This innovative program combines theoretical learning with practical experience, preparing students for diverse career opportunities in data analysis, machine learning, and artificial intelligence.
Curriculum: The curriculum of the BSc Data Science with Year of Professional Experience program at Queen's University Belfast is carefully crafted to cover a wide range of topics relevant to the field of data science. Students study fundamental concepts such as statistics, programming languages, database management, and data visualization. Advanced courses delve into topics like machine learning, big data analytics, and deep learning algorithms. Additionally, students have the opportunity to tailor their studies through elective modules, allowing them to explore specialized areas of interest within data science.
Research Focus: Queen's University Belfast is renowned for its research excellence, and the BSc Data Science program reflects this commitment to research-driven education. Students have the opportunity to engage in cutting-edge research projects under the guidance of experienced faculty members. Whether exploring predictive analytics, natural language processing, or computer vision, students gain valuable research experience that enhances their analytical skills and prepares them for careers in academia, industry, or research institutions.
Industry Engagement: The BSc Data Science program at Queen's University Belfast is designed in collaboration with industry partners to ensure its relevance to the current needs of the job market. Through guest lectures, industry projects, and internship opportunities, students gain practical insights into real-world applications of data science. The university's strong ties with leading companies and organizations provide students with valuable networking opportunities and potential pathways to employment upon graduation.
Global Perspective: In an increasingly interconnected world, understanding the global context of data science is essential. Queen's University Belfast fosters a global perspective within the BSc Data Science program through various initiatives. Students have the opportunity to participate in international study exchanges, collaborate with students and researchers from around the world, and tackle global challenges through data-driven solutions. Additionally, the curriculum incorporates discussions on ethical considerations, cultural differences, and regulatory frameworks, ensuring that students graduate with a holistic understanding of data science in a global context.
Location
Belfast
Score
IELTS 6.5
Tuition Fee
£ 23100
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 80 to 85% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.5 with no individual component below 5.5.
- TOEFL: A minimum overall score of 90, with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 17 in Writing.
- PTE Academic: A minimum overall score of 62 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.
Queens University Belfast offers a range of scholarships and funding opportunities to support students in their academic pursuits. These scholarships recognize academic excellence, diversity, and financial need.
Queens University Belfast International Scholarships: The university provides a range of scholarships specifically for international students. These scholarships vary in terms of eligibility criteria, funding amount, and application requirements. Examples include the International Office Undergraduate Scholarship, International Office Postgraduate Taught Scholarship, and International Office Postgraduate Research Scholarships.
Vice-Chancellors International Attainment Scholarship: The Vice-Chancellor's International Attainment Scholarship is aimed at international students with exceptional academic performance. It provides a significant reduction in tuition fees for undergraduate and postgraduate programs.
Queens University Belfast Scholarships for Excellence: The Scholarships for Excellence program at Queen's University Belfast is designed to support high-achieving undergraduate students. These scholarships recognize exceptional academic performance and provide financial assistance to help students reach their full potential.
Country-Specific Scholarships: Queens University Belfast offers scholarships that are specific to certain countries or regions. These scholarships are designed to attract talented students from these areas and promote diversity within the university community.
Sports Scholarships: Queens University Belfast also offers sports scholarships for students who excel in sports. These scholarships provide financial support, training facilities, and other benefits to help athletes balance their sporting with their studies.
It is important to note that scholarship availability, eligibility criteria, and application processes may vary each year.
Queen's University Belfast, located in the vibrant city of Belfast, Northern Ireland, offers a BSc Data Science with Year of Professional Experience program that equips graduates with the skills and knowledge needed to excel in the dynamic field of data science. This program opens doors to a wide array of exciting career opportunities in industries ranging from technology and finance to healthcare and marketing.
Data Scientist: Data scientists are in high demand across various industries, utilizing their expertise in statistics, programming, and machine learning to extract insights from large datasets. Graduates can pursue roles as data scientists in technology companies, financial institutions, consulting firms, and more, where they apply advanced analytical techniques to solve complex business problems and drive informed decision-making.
Machine Learning Engineer: Machine learning engineers specialize in developing and deploying machine learning models and algorithms to automate processes and improve efficiency. Graduates with a background in data science can pursue careers as machine learning engineers, designing and optimizing algorithms for applications such as recommendation systems, image recognition, natural language processing, and autonomous vehicles.
Data Analyst: Data analysts play a crucial role in transforming raw data into actionable insights that drive business strategy and performance. Graduates can work as data analysts in diverse industries, interpreting data trends, creating visualizations, and generating reports to help organizations understand customer behavior, optimize operations, and identify opportunities for growth.
Business Intelligence Developer: Business intelligence developers design and maintain data warehouses, dashboards, and reporting tools that enable organizations to access and analyze their data effectively. Graduates with a background in data science can pursue careers as business intelligence developers, working with tools like SQL, Tableau, Power BI, and Python to deliver actionable insights to stakeholders across the organization.
Data Engineer: Data engineers are responsible for building and maintaining the infrastructure necessary to support the storage, processing, and analysis of large volumes of data. Graduates can pursue roles as data engineers, designing data pipelines, implementing ETL (extract, transform, load) processes, and optimizing databases to ensure the reliable and efficient flow of data across systems.
Quantitative Analyst: Quantitative analysts, also known as quants, work in finance and investment firms, utilizing mathematical and statistical models to analyze financial markets and investment opportunities. Graduates with a background in data science can pursue careers as quantitative analysts, developing models for risk management, portfolio optimization, algorithmic trading, and other quantitative finance applications.
Healthcare Data Analyst: In the healthcare industry, data science plays a vital role in areas such as patient care, clinical research, and public health. Graduates can work as healthcare data analysts, leveraging data analytics techniques to analyze electronic health records, conduct clinical trials, and improve healthcare outcomes through evidence-based decision-making.
Marketing Analyst: Marketing analysts help organizations understand consumer behavior, optimize marketing campaigns, and measure the effectiveness of advertising efforts. Graduates with a background in data science can pursue careers as marketing analysts, analyzing customer data, conducting market research, and using predictive analytics to segment audiences and personalize marketing strategies.
Research Scientist: For those interested in advancing the field of data science through research, careers as research scientists offer opportunities to explore new algorithms, techniques, and applications. Graduates can work in academia, research institutions, or industry research labs, contributing to cutting-edge research projects in areas such as artificial intelligence, machine learning, and data mining.
