MSc Accounting and Finance
The MSc Accounting and Finance program at the University of Greenwich is designed to pr...
BSc Hons Statistics and Data Analytics
Greenwich Campus
INTAKE: September
Program Overview
The BSc (Hons) Statistics and Data Analytics program at the University of Greenwich, UK, offers students a comprehensive education in statistical methods, data analysis techniques, and their applications across various industries and sectors. This undergraduate degree program equips students with the knowledge and skills necessary to analyze large datasets, extract meaningful insights, and make data-driven decisions in today's data-driven world.
Curriculum: The curriculum of the BSc (Hons) Statistics and Data Analytics program covers a wide range of topics essential for understanding statistical principles and data analysis techniques. Courses typically include modules on probability theory, statistical inference, regression analysis, data visualization, machine learning, and big data analytics. The program also incorporates practical components, such as statistical software training, case studies, and projects, to provide students with hands-on experience in analyzing real-world datasets.
Research Focus: The University of Greenwich emphasizes a strong research focus within the BSc (Hons) Statistics and Data Analytics program. Faculty members are actively engaged in research projects exploring various aspects of statistics, data analysis, and data science. Students have the opportunity to participate in research initiatives, allowing them to gain practical research skills and contribute to advancing knowledge in the field through independent research projects and dissertation work.
Industry Engagement: The BSc (Hons) Statistics and Data Analytics program prioritizes industry engagement to ensure that students are well-prepared for the demands of the professional world. Through partnerships with industry leaders, government agencies, and research institutions, students have the opportunity to gain practical experience through internships, placements, and collaborative projects. These industry connections enable students to develop professional skills, build networks, and enhance their employability upon graduation.
Global Perspective: In an increasingly interconnected world, understanding global trends, patterns, and challenges in data analysis is essential for making informed decisions and solving complex problems. The BSc (Hons) Statistics and Data Analytics program at the University of Greenwich incorporates a global perspective into its curriculum. Students explore topics such as international data standards, cross-cultural data analysis, and global data privacy regulations. Additionally, the program may offer opportunities for students to study abroad or engage in international research projects to gain exposure to diverse cultural and data analytics contexts.
Location
Greenwich Campus
Score
IELTS 6
Tuition Fee
£ 16150
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 87, with at least 17 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 76 with no individual score below 59.
- 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.
The University of Greenwich offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize academic excellence, support talented students, and provide financial assistance to those who need it.
Vice-Chancellor's Scholarship: This scholarship is available to high-achieving undergraduate and postgraduate students who demonstrate academic excellence. It provides a tuition fee discount of up to £5,000.
International Scholarship: The International Scholarship is aimed at international students applying for undergraduate or postgraduate programs at the University of Greenwich. It offers a tuition fee discount of up to £3,000.
Greenwich Scholarship Programme: The Greenwich Scholarship Programme is open to UK and EU undergraduate students from low-income backgrounds. It offers financial support in the form of bursaries and scholarships, with values ranging from £500 to £2,000 per year.
Sports Scholarships: The university provides Sports Scholarships to talented student-athletes who excel in their chosen sport. These scholarships offer a combination of financial support, access to training facilities, coaching, and other support services.
External Scholarships:The University of Greenwich provides information and support to students who wish to apply for external scholarships, grants, and funding opportunities offered by external organizations and foundations.
Graduates of the BSc (Hons) Statistics and Data Analytics program at the University of Greenwich are well-prepared for a variety of career opportunities in the rapidly expanding field of data analytics, statistics, and data science. With a solid foundation in statistical methods, data analysis techniques, and practical experience gained through projects and internships, graduates can pursue diverse roles aimed at extracting insights from data and making informed decisions across various industries and sectors.
Data Analyst: Data analysts are responsible for collecting, processing, and analyzing large datasets to identify trends, patterns, and insights that can inform business decisions. Graduates can pursue careers as data analysts, where they use statistical software and programming languages to clean data, perform descriptive and inferential analysis, and visualize findings through reports and dashboards.
Data Scientist: Data scientists apply advanced statistical and machine learning techniques to analyze complex datasets and extract actionable insights. Graduates can pursue careers as data scientists, where they develop predictive models, conduct data mining, and derive insights that drive strategic decision-making and innovation within organizations. They may also work on projects such as recommendation systems, predictive analytics, and sentiment analysis.
Business Intelligence Analyst: Business intelligence analysts help organizations leverage data to improve performance and competitiveness. Graduates can pursue careers as business intelligence analysts, where they gather requirements from stakeholders, design and develop data models, and create interactive dashboards and reports to visualize key performance indicators and inform strategic planning and decision-making.
Statistical Consultant: Statistical consultants provide expertise and guidance on statistical analysis and research design to organizations and research projects. Graduates can pursue careers as statistical consultants, where they collaborate with clients to formulate research questions, design studies, analyze data, and interpret results. They may work in fields such as healthcare, finance, marketing, or social sciences.
Market Research Analyst: Market research analysts collect and analyze data on consumer preferences, market trends, and competitive landscapes to inform marketing strategies and product development decisions. Graduates can pursue careers as market research analysts, where they design surveys, conduct focus groups, and analyze data to provide insights into consumer behavior, market segmentation, and product positioning.
Quantitative Analyst: Quantitative analysts, also known as quants, use mathematical and statistical models to analyze financial markets and investment strategies. Graduates with a strong background in statistics and data analytics can pursue careers as quantitative analysts, where they develop and back-test trading algorithms, assess risk, and optimize portfolio performance for financial institutions and investment firms.
