Computer Science (Data Science), BSc Hons

3 Years On Campus Bachelors Program

University of Greenwich

Program Overview

The BSc (Hons) Computer Science (Data Science) at the University of Greenwich equips students with the skills to become professionals in data-driven computing. It is ideal for those interested in combining core computer science knowledge with data analysis, machine learning, and visualization techniques.

Curriculum Structure:

Year 1:
Students build a strong foundation in computer science principles, focusing on programming, algorithms, and data structures. Key modules include Introduction to Programming, Mathematics for Computing, and Computer Systems, giving students the analytical skills to approach computational problems.

Year 2:
This year introduces more specialized data science concepts, with modules like Statistical Techniques with R, Information Visualisation, and Database Systems. Students develop practical skills in analyzing and visualizing data, applying statistical methods, and designing database solutions.

Year 3:
In the final year, students focus on advanced topics such as Big Data and Machine Learning, alongside a Final Year Project. They gain experience in developing complex systems, applying machine learning algorithms, and producing independent research to solve real-world data challenges.

Focus Areas: Machine learning, data analysis, visualization, algorithm design, database management.
Learning Outcomes: Ability to develop software solutions, analyze large datasets, design algorithms, and adapt skills for evolving technology trends.
Professional Alignment (Accreditation): Accredited by BCS, The Chartered Institute for IT, fulfilling partial requirements for Chartered IT Professional and Chartered Engineer registration.
Reputation (Employability Rankings): Gold in the Teaching Excellence Framework 2023, reflecting outstanding student experience and career outcomes.

Experiential Learning (Research, Projects, Internships etc.)

The BSc (Hons) Computer Science (Data Science) program at the University of Greenwich is designed to equip you with both theoretical knowledge and practical skills essential for a career in data science. The curriculum emphasizes hands-on experience, ensuring that you are well-prepared to tackle real-world challenges in data analysis and machine learning.

Throughout the program, you'll engage in various practical learning opportunities, including:

  • Statistical Techniques with R: Develop proficiency in statistical analysis using R, a key tool in data science.

  • Information Visualisation: Learn to present complex data in an accessible and insightful manner.

  • Big Data and Machine Learning: Gain expertise in handling large datasets and applying machine learning algorithms.

These modules are supported by state-of-the-art facilities and resources:

  • Modern Computer Labs: Access to high-performance computing environments equipped with the latest software and tools.

  • Experienced Faculty: Learn from a team of experts in the field, providing guidance and mentorship.

  • Collaborative Projects: Engage in group assignments that simulate real-world data science problems.

  • Industry Links: Benefit from the university's connections with industry partners, offering insights and potential internship opportunities.

By combining rigorous academic training with practical experience, the program ensures that you are well-prepared for a successful career in data science.

Progression & Future Opportunities

Graduates from the Computer Science (Data Science) BSc (Hons) at the University of Greenwich are well-prepared to enter dynamic roles in technology and data-driven industries. Many go on to work as Data Analysts, Software Developers, or Business Intelligence Specialists:

  • University Careers & Employability Services: The Greenwich Careers and Employability Service offers personalized career guidance, CV workshops, mock interviews, and industry networking events to help students secure their first roles.

  • Employment Stats & Salary Figures: Graduates enjoy strong employability, with over 90% securing relevant positions within six months. Entry-level salaries for data science roles typically start around £25,000–£35,000, with scope for rapid growth.

  • University–Industry Partnerships: The program is informed by collaborations with tech companies and data-driven enterprises, providing real-world projects and opportunities for internships.

  • Accreditation Value: This degree is accredited by professional bodies, ensuring recognition in both the UK and internationally and enhancing long-term career prospects.

  • Graduation Outcomes: Alumni find opportunities in government agencies, consultancies, financial institutions, and tech firms, leveraging strong analytical, programming, and data modelling skills.

Further Academic Progression:
After completing the BSc, students can choose to advance their studies with a master’s degree in Data Science, Artificial Intelligence, Cybersecurity, or related fields. There are also options for professional certifications in cloud computing, machine learning, and advanced analytics, helping graduates further specialize and increase career opportunities.

Program Key Stats

£17,500
£ 29
Sept Intake : 14th Jan


71 %
No
Yes

Eligibility Criteria

BBB
N/A
-
65

N/A
N/A
6.0
72

Additional Information & Requirements

Career Options

  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • AI Specialist
  • Data Engineer
  • Statistician
  • Big Data Developer
  • Quantitative Analyst
  • Research Analyst
  • Database Administrator
  • Software Developer  

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