MSc Accounting and Banking
The MSc Accounting and Banking program at Bangor University is designed to equip studen...
BSc (Hons) Data Science and Visualisation
Bangor
INTAKE: September
Program Overview
Bangor University, located in the scenic town of Bangor in North Wales, UK, offers an innovative BSc (Hons) Data Science and Visualisation program. This undergraduate degree combines the fields of data science, statistics, and visualisation, equipping students with the skills and knowledge to analyze complex datasets, derive insights, and communicate findings effectively through visual representations. The program prepares students for careers in data-driven industries and research fields.
Curriculum: The curriculum of the BSc (Hons) Data Science and Visualisation program at Bangor University is designed to provide students with a strong foundation in data analysis, statistical methods, programming, and visualisation techniques. Core modules cover topics such as data wrangling, machine learning, data mining, statistical modeling, and data visualization. Students also have the opportunity to specialize in areas such as big data analytics, geospatial analysis, or bioinformatics through elective modules. Practical projects, case studies, and industry collaborations allow students to apply their learning to real-world problems and develop hands-on skills in data analysis and visualisation.
Research Focus: Bangor University is committed to research excellence in data science, statistics, and visualisation. Faculty members and researchers are actively engaged in research projects spanning areas such as machine learning, data mining, spatial analysis, and information visualization. Students enrolled in the BSc (Hons) Data Science and Visualisation program have the opportunity to engage with research through seminars, workshops, and collaborative projects with faculty members. This research-focused environment fosters critical thinking, problem-solving skills, and innovation, preparing students to address complex challenges in data analysis and visualisation.
Industry Engagement: The BSc (Hons) Data Science and Visualisation program at Bangor University emphasizes industry engagement as a key component of students' learning experiences. The university has established partnerships with leading companies, organizations, and government agencies to provide students with opportunities for internships, work placements, and industry projects. Through these collaborations, students gain practical experience, industry insights, and professional networking opportunities that enhance their employability and readiness for the workforce. Additionally, guest lectures, industry seminars, and networking events facilitate interactions between students and industry professionals, enriching students' learning experiences and exposing them to real-world applications of data science and visualisation in various industries.
Global Perspective: Bangor University's BSc (Hons) Data Science and Visualisation program offers students a global perspective on data analysis and visualisation by exploring global trends, applications, and challenges in the field. Modules cover topics such as global data ethics, cross-cultural data analysis, and international data standards, providing students with insights into the diverse ways data is used and interpreted around the world. Furthermore, the university's international collaborations, study abroad programs, and multicultural student body contribute to a global learning environment, preparing students to work effectively in multicultural and multinational settings and contribute to global efforts in data-driven decision-making and problem-solving.
Location
Bangor
Score
IELTS 6
Tuition Fee
£ 17500
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 65% or equivalent in their respective country's grading system.
English Language Proficiency:
- IELTS: A minimum overall score of 6.0 with no individual component below 5.5.
- 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 entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.
Bangor University offers a range of scholarships and financial support options to both domestic and international students. These scholarships aim to recognize and reward academic excellence, as well as support students from diverse backgrounds.
Vice-Chancellor Scholarships: These scholarships are awarded to exceptional students who have demonstrated outstanding academic achievements. They are available for undergraduate and postgraduate students across various disciplines.
Country-specific Scholarships: Bangor University offers scholarships specifically for students from certain countries or regions. These scholarships may have different eligibility criteria and application processes. Examples include the India Scholarships, Nigeria Scholarships, and Vietnam Scholarships.
Bangor International Scholarships: These scholarships are available for international students pursuing undergraduate or postgraduate studies. They are based on academic merit and can significantly contribute towards tuition fees.
Sport Scholarships: Bangor University offers scholarships for talented athletes who excel in sports. These scholarships provide financial support, training opportunities, and access to sports facilities.
Alumni Scholarships: Bangor University offers scholarships exclusively for its alumni who wish to pursue further studies at the university. These scholarships aim to encourage ongoing education and support the university's graduates.
Graduates of Bangor University's BSc (Hons) Data Science and Visualisation program are well-equipped with the skills and knowledge required to pursue diverse career paths in the rapidly growing field of data science and visualisation.
Data Analyst: Graduates can work as data analysts, responsible for collecting, processing, and analyzing large datasets to extract meaningful insights and trends. Data analysts use statistical techniques, data mining algorithms, and visualization tools to present findings and support decision-making processes in various industries such as finance, healthcare, marketing, and government.
Data Scientist: Those with advanced analytical skills can pursue careers as data scientists, leveraging machine learning algorithms, predictive modeling techniques, and advanced statistical methods to solve complex business problems and generate actionable insights from data. Data scientists work on cross-functional teams to develop data-driven solutions and drive innovation in areas such as artificial intelligence, predictive analytics, and personalized recommendations.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, focusing on gathering and analyzing business data to provide insights and recommendations for improving operational efficiency, identifying market trends, and optimizing business strategies. Business intelligence analysts design dashboards, reports, and data visualizations to communicate key performance indicators and support decision-making at all levels of an organization.
Data Engineer: Those with strong programming and database management skills can pursue careers as data engineers, responsible for designing, building, and maintaining data pipelines, data warehouses, and ETL (extract, transform, load) processes. Data engineers work closely with data scientists and analysts to ensure data quality, integrity, and availability for analysis and reporting purposes.
Machine Learning Engineer: Graduates interested in artificial intelligence and machine learning can work as machine learning engineers, designing and implementing machine learning algorithms and models to solve specific business problems and automate decision-making processes. Machine learning engineers develop and deploy algorithms for tasks such as image recognition, natural language processing, and predictive analytics.
Data Visualization Specialist: Those with a flair for design and communication can work as data visualization specialists, focusing on creating interactive and visually engaging data visualizations to communicate insights and trends effectively to stakeholders. Data visualization specialists use tools such as Tableau, Power BI, and D3.js to design dashboards, infographics, and interactive charts for presentations and reports.
Statistical Analyst: Graduates with strong statistical skills can work as statistical analysts, conducting data analysis and hypothesis testing to support research studies, clinical trials, and policy decisions in fields such as healthcare, education, and social sciences. Statistical analysts use statistical software packages such as R or SAS to analyze data and interpret results for academic or industry research projects.
Research Scientist: Those interested in scientific research can work as research scientists, conducting data-driven research projects in academic institutions, government agencies, or private research organizations. Research scientists use data analysis and visualization techniques to explore scientific hypotheses, discover patterns, and generate new knowledge in fields such as biology, environmental science, and social sciences.
Financial Analyst: Graduates can work as financial analysts, analyzing financial data, market trends, and investment opportunities to provide recommendations for investment strategies, portfolio management, and risk assessment. Financial analysts use data analysis techniques to evaluate financial performance, forecast future trends, and support decision-making processes in banking, investment firms, or corporate finance departments.
Consultant: Those with strong analytical and communication skills can work as data science consultants, providing advisory services to businesses, organizations, or government agencies on data-driven strategies, technology implementations, and process improvements. Data science consultants help clients identify opportunities for leveraging data assets, develop analytics solutions, and drive business transformation through data-driven insights and recommendations.
