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, is designed to provide students with a comprehensive understanding of statistical methods, data analysis techniques, and their applications in various fields. This undergraduate degree equips students with the skills and knowledge necessary to analyze, interpret, and visualize data effectively, making informed decisions and solving complex problems 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 statistical analysis and data interpretation. Courses may include statistical theory, probability theory, regression analysis, time series analysis, data mining, machine learning, and data visualization. Students engage in hands-on projects, data analysis exercises, and statistical modeling tasks to apply theoretical concepts to real-world data sets and develop practical data analysis skills.
Research Focus: The University of Greenwich emphasizes research-led teaching in statistics and data analytics, with faculty members conducting research projects addressing various aspects of statistical modeling, data science, and computational statistics. Research initiatives may focus on topics such as predictive modeling, data-driven decision-making, statistical computing, or applied statistics in specific domains such as healthcare, finance, or environmental science. Students in the BSc Hons Statistics and Data Analytics program may have opportunities to participate in research projects, collaborate with faculty members, and contribute to advancements in statistical methodology and data analytics techniques.
Industry Engagement: The university maintains strong connections with industry partners, government agencies, and research institutions to ensure that the BSc Hons Statistics and Data Analytics program remains closely aligned with industry needs and standards. Students benefit from guest lectures, industry workshops, and networking events featuring professionals from leading data analytics firms, research organizations, and government agencies. Additionally, the program may offer internship opportunities, industry placements, or collaborative projects with industry partners, providing students with valuable industry experience and exposure to real-world data analytics practices.
Global Perspective: The University of Greenwich promotes a global perspective in its approach to statistics and data analytics education, recognizing the international nature of data-driven decision-making and the importance of cross-cultural collaboration in statistical research and analysis. The BSc Hons Statistics and Data Analytics program incorporates discussions on global data trends, ethical considerations in data analysis, and cross-cultural applications of statistical methods. Students may have opportunities to engage in international collaborations, participate in study abroad programs, or work on global data analysis projects to gain insights into global data challenges and perspectives.
Location
Greenwich Campus
Score
IELTS 6.5
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, UK, are well-equipped to pursue various career opportunities in the rapidly growing field of statistics, data analysis, and decision science.
Data Analyst: Graduates can work as data analysts, responsible for collecting, cleaning, and analyzing large datasets to extract meaningful insights and patterns. They utilize statistical techniques, data visualization tools, and programming languages to uncover trends and support data-driven decision-making in organizations across different industries.
Statistician: Graduates may pursue careers as statisticians, specializing in designing surveys, experiments, and observational studies to collect and analyze data for research purposes or to inform policy decisions. They apply statistical methods, hypothesis testing, and regression analysis to interpret data and draw conclusions from experimental or observational studies.
Data Scientist: Graduates with advanced analytical skills can work as data scientists, combining statistical analysis, machine learning algorithms, and programming expertise to solve complex business problems and generate actionable insights from data. They develop predictive models, conduct data mining, and optimize algorithms to drive business growth and innovation.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, focusing on transforming raw data into meaningful information to support strategic decision-making in organizations. They design and develop dashboards, reports, and data visualizations that provide stakeholders with timely and relevant insights into business performance and trends.
Quantitative Analyst (Quant): Graduates interested in finance can work as quantitative analysts, applying statistical and mathematical models to analyze financial markets, assess risk, and develop trading strategies. They utilize quantitative techniques, financial modeling, and programming languages to analyze market data and make informed investment decisions.
Market Research Analyst: Graduates may pursue careers as market research analysts, responsible for gathering and analyzing data on consumer preferences, market trends, and competitor behavior to inform marketing strategies and product development decisions. They conduct surveys, focus groups, and data analysis to identify market opportunities and evaluate marketing campaigns.
Health Data Analyst: Graduates with an interest in healthcare can work as health data analysts, analyzing medical records, clinical data, and healthcare outcomes to identify patterns, trends, and insights that inform healthcare policy and practice. They collaborate with healthcare professionals, researchers, and policymakers to improve patient outcomes and healthcare delivery.
Operations Research Analyst: Graduates can work as operations research analysts, applying mathematical modeling, optimization techniques, and statistical analysis to solve complex operational problems in industries such as logistics, transportation, and manufacturing. They develop models, algorithms, and simulations to improve efficiency and decision-making in organizational operations.
Environmental Data Analyst: Graduates interested in environmental science can work as environmental data analysts, analyzing environmental data sets, conducting spatial analysis, and modeling environmental processes to support environmental monitoring, conservation, and policy-making efforts. They assess environmental risks, identify trends, and evaluate the impact of human activities on the environment.
Consultant: Graduates with strong analytical and communication skills can work as consultants, providing advisory services, technical expertise, and data-driven solutions to businesses, government agencies, or nonprofit organizations. They assess client needs, develop customized solutions, and deliver actionable insights to address specific challenges and achieve organizational objectives.
