Course Description

Course Overview

The BSc (Hons) Data Science (Including Foundation Year) is designed for students who aspire to enter the rapidly evolving field of Data Science but may not meet the standard entry requirements for the three-year degree. This programme provides a strong foundation in key disciplines such as Data Engineering, Analytics, Programming, Artificial Intelligence, and Data Visualisation.

During the foundation year, students will gain essential academic, problem-solving, and technical skills in mathematics, computing, and programming. Upon successful completion, students progress to study advanced modules that explore data programming, data analytics, and other technical areas relevant to the field.

As the demand for skilled data professionals increases globally, this course provides the necessary knowledge and competencies to excel in a data-driven environment.

What You Will Learn

  • Core programming and computational problem-solving skills

  • Foundations in mathematics, computing, and data systems

  • Advanced knowledge of data analysis, engineering, and visualisation

  • Understanding of artificial intelligence and machine learning principles

  • Cyber security fundamentals and their role in data protection

  • Research, critical thinking, and professional development skills

  • Real-world applications of data science through projects and case studies

Why study this course?

  • Provides an excellent starting point for those without traditional qualifications in data science or computing

  • Builds strong technical foundations before progressing to advanced modules

  • Offers flexibility through daytime, evening, and weekend study timetables

  • Uses blended learning, combining online and on-campus teaching

  • Includes a Career Development Learning module that integrates practical experience with industry engagement

  • Prepares students for a wide range of data-related career opportunities in multiple industries

Entry requirements

Academic Route

Minimum Age: 18 years

Applicants must provide evidence of their highest academic qualification, which may include:

  • Level 3 Qualifications (A Levels, NVQ Level 3, Diploma, Certificate, or Access to Higher Education Diploma)
  • International Baccalaureate
  • High School Level Qualifications
  • Level 2 Qualifications or equivalent (for example, GCSEs, NVQ Level 2, Diploma, or Certificate)

Work Route

Minimum Age: 21 years

Applicants who do not meet formal academic entry criteria may apply through the Work Route. This route recognises relevant professional experience in the field, or related industries as an alternative pathway into higher education. Some exceptions may apply for applicants with professional experience in other fields. This entry route ensures that motivated and experienced candidates can progress academically and professionally.

English Language Proficiency

If English is not the first language, applicants must complete an approved free English language test that assesses reading, writing, speaking, and listening skills. Equivalent qualifications may also be accepted.

Interview

All applicants are required to attend an interview with a member of the admissions team as part of the selection process.

Assessments

Student progress will be measured through a variety of assessments designed to showcase both technical and analytical skills, including:

  • Coursework and written assignments

  • In-class tests and quizzes

  • Multiple-choice assessments

  • Unseen examinations

  • Solution modelling, including data models, program code, and written reports

Modules

  • Cyber Security Fundamentals

  • Introduction to Robotics and Internet of Things

  • Mathematics

  • Programming

  • Data Analysis

  • Financial Mathematics

  • Fundamentals of Computing

  • Introduction to Information Systems

  • Logic and Mathematical Techniques

  • Programming

  • Databases

  • Professional and Ethical Issues

  • Smart Data Discovery

  • Statistical Methods and Modelling Markets

  • Artificial Intelligence and Machine Learning

  • Career Development Learning

  • Data and Web Development

  • Project

Study & Career Progression

This course provides a strong foundation for entering a range of data-focused professions. Graduates will possess technical and analytical skills applicable across various industries, including technology, finance, healthcare, and business intelligence.

Potential career paths include:

  • Data Scientist

  • Data Analyst

  • Data Engineer

  • Associate Data Analyst

  • Data Science Operational Officer

  • IT Data Consultant

Graduates may also progress to postgraduate study or research in areas such as Computer Science, Artificial Intelligence, or Data Analytics.

Student Fee's & Finance

This course is available to United Kingdom residents who have access to public funds and are eligible for Student Loans Company funding to help cover tuition and living costs.

Funding options include:

  • Tuition Fee Loan: Covers the full cost of the course and is paid directly to the university.
  • Maintenance Loan: Helps cover day-to-day living expenses and is paid directly into the student’s account.
  • Additional Support: Eligible students may apply for Childcare Grants, Disabled Students’ Allowance, or university bursaries that do not require repayment.

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