Statistics and Computing

Ethics in Statistics and Computing at the University of Greenwich provides students with a comprehensive understanding of the fundamental ethical principles underpinning data collection, analysis, and computing practices. This programme is designed to equip students with the critical skills needed to navigate the complex moral issues that arise in the fields of statistics and computing, ensuring they can make responsible decisions in their professional careers. Throughout the course, students will explore topics such as data privacy, confidentiality, responsible data management, and the societal impacts of technological advancements. The curriculum emphasizes the importance of integrity, transparency, and accountability in handling data and developing computational solutions, fostering a mindset of ethical awareness and social responsibility. Students will engage with real-world case studies and current debates addressing issues like data security, algorithmic bias, and the ethical implications of artificial intelligence. The programme combines theoretical knowledge with practical applications, enabling students to implement ethical standards in their work effectively. With a focus on interdisciplinary learning, the programme also encompasses principles from computer science, statistics, law, and social sciences to provide a well-rounded perspective on ethical considerations. Students will develop critical thinking and problem-solving skills necessary to evaluate ethical dilemmas and develop ethically sound solutions. The programme prepares graduates for careers in data analysis, software development, research, and consultancy, where ethical decision-making is paramount. Upon completing this programme, students will be equipped to contribute responsibly to the rapidly evolving fields of data science and computing, promoting trust and integrity in their professional practices. The university’s exceptional teaching facilities and expert faculty ensure a supportive learning environment dedicated to fostering academic excellence and ethical awareness. This programme is ideal for individuals passionate about data and technology who wish to make a positive impact on society by applying ethical principles in their work.

Detailed Course Facts

• GBP 9000 Year (EEA)
• GBP 10350 Year (Non-EEA)

• English

Course Content

Year 1

• Computer Programming (30 credits)
• Systems Building; (30 credits)
• Communication Systems (15 credits)
• Computer Systems Architectures (15 credits)
• Logical Foundations (15 credits)
• Analytical Methods for Computing (15 credits)

Year 2

• Systems Development Project (30 credits)
• Professionalism in the IT Industry (15 credits)
• Network Implementation (15 credits)
• Introduction to Smart Systems (15 credits)
• Network Security (15 credits)
• Operating Systems (15 credits)
• Computer Forensics 2 (15 credits)

Optional Sandwich Year (Work Placement)

Final Year

• Individual Project on a topic chosen by the student (60 credits)
• Computer Forensics 3 (30 credits)
• 30 credits of options from: Enterprise Server Management and Security (15 credits); Network Technology (15 credits); Network Design and Implementation (15 credits); Penetration Testing (15 credits); Service Oriented Web Applications (15 credits); Smart Systems Development (15 credits); Web Application Development (15 credits); Computing Education and Communication (30 credits)

English Language Requirements

IELTS band : 6

To study at this university, you have to speak English. We advice you to

Requirements

Applicants should have:

260 UCAS points

FROM subjects studied at A-level or equivalent qualifications

PLUS GCSEs in English and mathematics at grade C or above, or equivalent qualifications such as key skills level 2.

Work Experience

No work experience is required.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

Related Scholarships*

• Academic Excellence Scholarship

  "The Academic Excellence Scholarship can provide up to a 50 % reduction in tuition per semester. These scholarships will be renewed if the student maintains superior academic performance during each semester of their 3-year Bachelor programme. The scholarship will be directly applied to the student’s tuition fees."

• Access Bursary

  Bursary for UK students all subjects where the variable tuition fee rate is payable.

• Alumni Bursary

  Alumni Bursary for UK Undergraduate students

* The scholarships shown on this page are suggestions first and foremost. They could be offered by other organisations than University of Greenwich.

The BSc in Statistics and Computing at the University of Greenwich offers students a comprehensive education in statistical methods, data analysis, computer programming, and information technology. Designed to equip graduates with the essential skills required in today’s data-driven world, the programme balances theoretical foundations with practical applications. Students gain proficiency in statistical software packages, programming languages such as Python and R, and various data management tools. The curriculum includes modules on data collection, data analysis, predictive modelling, machine learning, and database systems, providing a well-rounded understanding of both statistical techniques and computing concepts.

Throughout the course, students engage in project work, often collaborating with industry partners or working on real-world data sets, which enhances their problem-solving and analytical skills. The programme is structured to support progression into careers in data science, analytics, research, and related fields across multiple industries including finance, healthcare, government, and private enterprise. Additionally, the university emphasizes employability, offering opportunities for placements, internships, and networking with professionals in the sector. The program benefits from state-of-the-art laboratories and computing facilities, enabling students to develop hands-on experience with current technology and software tools. Graduates of the programme are well-equipped to pursue further postgraduate study or to enter a competitive job market with strong technical and analytical capabilities. The University of Greenwich is committed to providing an inclusive learning environment, with dedicated support services for students throughout their studies.