To enrol in the BSc (Hons) Computer Science (Data Science) programme, applicants must meet the following requirements:

UCAS Tariff Points

• A minimum of 120 UCAS Tariff points.

Accepted Qualifications:

• A Levels: Passes in two distinct subjects at GCE Advanced Level.
• Mixed Awards: A pass in one subject at GCE Advanced Level plus:
  • Passes in two distinct subjects at GCE Advanced Subsidiary Level, or
  • A Vocational A-Level Single Award, or
  • Two Vocational A-Level Part Awards.
• Vocational A-Level Double Awards.
• T Level qualifications.
• BTEC National Certificate or Diploma.
• Scottish Certificate of Education:
  • Passes in five subjects, including at least three at Higher grade, or
  • Passes in four subjects at Higher or New Higher grade.
• International Baccalaureate: Full Diploma.
• Irish Leaving Certificate: Passes in four subjects at Grade C or above at the Higher Level.

GCSE Requirements:
For certain courses, applicants may need to achieve a minimum GCSE Grade C/4 or equivalent in specific subjects.

Interview:
All applicants must pass an Academic Interview as part of the selection process.

The BSc (Hons) Computer Science (Data Science) programme employs an engaging teaching approach, combining theoretical knowledge with practical application. Learning is delivered through lectures, seminars, workshops, and hands-on projects that encourage innovation and critical thinking. Students will work on real-world data challenges, collaborate in team-based projects, and gain experience with industry-standard tools and technologies. Assessment is conducted through coursework, group assignments, and individual projects, fostering a deep understanding of data science concepts and practices.

Graduates of the BSc (Hons) Computer Science (Data Science) programme are well-prepared for various roles in the tech and data sectors. Here are ten career opportunities with descriptions:

1. Data Scientist
   Analyse complex data sets to uncover patterns, trends, and insights that drive strategic decision-making.

2. Machine Learning Engineer
   Develop and deploy machine learning algorithms and models to create intelligent systems.

3. Data Analyst
   Interpret data to generate reports and actionable insights for businesses.

4. Business Intelligence Analyst
   Provide data-driven recommendations to enhance organisational performance.

5. Database Administrator
   Manage and optimise databases to ensure efficient data storage and retrieval.

6. Big Data Engineer
   Build and maintain infrastructure for processing and analysing large-scale data.

7. AI Developer
   Design and implement artificial intelligence systems for various applications.

8. Cloud Data Engineer
   Leverage cloud platforms to develop and manage scalable data solutions.

9. Software Engineer (Data-focused)
   Create software applications that integrate data processing and analysis features.

10. Data Visualisation Specialist
    Develop engaging visual representations of data to communicate findings effectively.

Applicants must provide the following documents:

1. CV – A detailed CV with 3+ years of work experience (if no qualifications).
2. Passport or BRP – Valid identification document.
3. Proof of Address – Utility bill, bank statement, or equivalent.
4. Qualifications – Certificates and transcripts of academic achievements.
5. EU Settlement Status (Share Code) – Required for EU applicants.
6. Personal Statement – A document of 300+ words detailing motivations, goals, and suitability for the course.
7. Work Reference Letter – Professional reference (if required by the university).
8. Share Code – For non-UK citizens to verify immigration status.

Student Finance England (SFE) offers invaluable financial support to eligible students. This may cover tuition fees, maintenance loans for living costs, and additional support for students with children or adult dependants. To be eligible:

1. Eligibility Criteria for Student Finance England (SFE):
   - Must be a UK national or have a settled status.
   - Should be ordinarily resident in England.
   - Chosen university and course must be recognised by SFE.
   - Previous study and age may affect eligibility.
   - Must be in the UK for a minimum of 3 years to access the fund.

2. Eligible Categories:
   - UK & EU nationals (including pre-settled status under the EU Settlement Scheme).
   - Refugees and their family members.
   - Individuals with humanitarian protection status and their family members.
   - Migrant workers or frontier workers from the EU.
   - Stateless persons and their family members.
   - Holders of UK visas under the Ukraine Family Scheme.

3. Age Requirements:
   - No upper age limit for Tuition Fee Loans or grants.
   - Limited funding for Maintenance Loans available for individuals aged 60 or over under specific conditions:
     - Must be 60 or over on the first day of the first academic year of the course.
     - Studying full-time.
     - Course started on or after 1 August 2016.

4. Funding Amount:
   - The amount of funding depends on household income.
   - Maintenance Loans for individuals aged 60 or over may have limited availability based on specific criteria.

5. Additional Information:
   - Criteria and regulations can be subject to change.
   - Always verify specific criteria and regulations directly with SFE or consult their official website for the latest information.

For comprehensive and up-to-date details, it is advisable to reach out directly to Student Finance England or visit their official website.