BSc (Hons) Data and Analytical Science

Peterborough

 

INTAKE: September

Program Overview

Anglia Ruskin University offers a comprehensive BSc (Hons) Data and Analytical Science program aimed at providing students with a strong foundation in data analysis, statistical methods, and analytical techniques. This undergraduate degree equips students with the necessary skills to thrive in the rapidly evolving field of data science.

Curriculum: The curriculum of the BSc (Hons) Data and Analytical Science program is designed to cover a wide range of topics essential for understanding and working with data effectively. Courses typically include modules on data mining, data visualization, machine learning, statistical analysis, and programming languages such as Python and R. Students also have the opportunity to engage in practical projects and internships to apply their knowledge in real-world scenarios.

Research Focus: Anglia Ruskin University emphasizes a research-driven approach in its Data and Analytical Science program. Faculty members are actively involved in cutting-edge research projects, covering areas such as predictive analytics, big data analytics, artificial intelligence, and data-driven decision-making. Students benefit from exposure to the latest advancements in the field and have opportunities to participate in research initiatives alongside faculty members.

Industry Engagement: The university maintains strong ties with industry partners, ensuring that the BSc (Hons) Data and Analytical Science program remains relevant and aligned with industry needs. Through collaborations with leading companies and organizations, students gain access to internships, work placements, and guest lectures from industry professionals. These connections provide valuable networking opportunities and enhance students' employability upon graduation.

Global Perspective: Anglia Ruskin University promotes a global perspective within its Data and Analytical Science program, recognizing the increasingly interconnected nature of the field. Students are encouraged to explore global trends and challenges in data science, as well as to consider the ethical implications of data analysis on a global scale. The university also fosters diversity and inclusivity, welcoming students from diverse cultural backgrounds and facilitating international exchange programs to broaden students' horizons.

Pollster Education

Location

Peterborough

Pollster Education

Score

IELTS 6

Pollster Education

Tuition Fee

£ 15000

Undergraduate Entry Requirements

Academic Qualifications: International students applying for undergraduate programs are typically required to have a minimum academic qualification of 55% or above in their previous studies. The specific entry requirements may vary depending on the program applied to.

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 88, with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 19 in Writing.
  • PTE Academic: A minimum overall score of 62 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.

Anglia Ruskin University in the UK offers various scholarships and financial aid opportunities to international students to support their academic journey. These scholarships are designed to recognize and reward exceptional academic achievements and provide financial assistance to deserving students. 

Vice Chancellor's International Excellence Scholarships: These scholarships are awarded to international students who demonstrate outstanding academic performance and potential. The scholarships are available for both undergraduate and postgraduate programs. Successful candidates receive a tuition fee discount, which varies based on the level of study and the applicant's academic qualifications.

International Merit Scholarships: Anglia Ruskin University offers merit-based scholarships to international students who have achieved exceptional academic results in their previous studies. These scholarships are available for both undergraduate and postgraduate programs. The scholarship amount is determined based on the applicant's academic qualifications and may cover a percentage of the tuition fees.

Country-Specific Scholarships: Anglia Ruskin University also provides scholarships specifically tailored to students from certain countries. These scholarships aim to promote cultural diversity and academic excellence. The eligibility criteria, scholarship amounts, and application procedures vary depending on the country of origin.

External Scholarships and Funding: In addition to the university-specific scholarships, international students at Anglia Ruskin University can explore external funding options available through government scholarships, foundations, and organizations in their home countries. The university's scholarship office provides guidance and support in identifying and applying for these external scholarships.

It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary each year.

Anglia Ruskin University's BSc (Hons) Data and Analytical Science program opens up a plethora of career opportunities for graduates in the dynamic and rapidly growing field of data science. Equipped with a strong foundation in data analysis and analytical techniques, graduates are well-positioned to pursue various roles across industries that rely on data-driven decision-making.

Data Analyst: One of the most common career paths for graduates of the BSc (Hons) Data and Analytical Science program is that of a data analyst. Data analysts are responsible for collecting, processing, and analyzing data to extract valuable insights that inform business strategies and decision-making processes. They work with large datasets, employing statistical methods and data visualization techniques to identify trends, patterns, and correlations.

Data Scientist: Data scientists play a crucial role in extracting actionable insights from complex and unstructured data. They utilize advanced analytical techniques, machine learning algorithms, and programming skills to solve complex problems and develop predictive models. Graduates of the Data and Analytical Science program possess the necessary skills to excel in data science roles, leveraging their expertise to drive innovation and business growth.

Business Intelligence Analyst: Business intelligence analysts focus on transforming data into actionable intelligence to support strategic decision-making within organizations. They gather and analyze data from various sources, including internal databases and external market data, to identify opportunities for optimization and improvement. With a strong background in data analysis and interpretation, graduates of Anglia Ruskin University's program are well-suited for roles in business intelligence.

Data Engineer: Data engineers are responsible for designing, building, and maintaining the infrastructure and systems necessary for data collection, storage, and processing. They work closely with data scientists and analysts to ensure the reliability, scalability, and efficiency of data pipelines and platforms. Graduates with a BSc (Hons) in Data and Analytical Science possess the technical skills and knowledge to excel in data engineering roles, contributing to the development of robust data architectures.

Risk Analyst: Risk analysts assess and mitigate potential risks within organizations by analyzing data related to financial transactions, market trends, and regulatory compliance. They employ statistical modeling techniques and predictive analytics to identify and quantify risks, helping organizations make informed decisions to manage and mitigate potential threats. Graduates with a background in data analysis and quantitative methods are well-suited for roles in risk analysis across various industries.


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