Data Science (Extended Degree) BSc (Hons)

4 Years On Campus Bachelors Program

Northumbria University

Program Overview

The BSc (Hons) Computing with Data Science and Big Data Technology at Northumbria University London equips students with the skills to tackle complex data challenges and develop innovative data-driven solutions. It suits those interested in computing, data analysis, and big data technologies, preparing them for technical, management, and leadership roles in the field.

Curriculum Structure:

Year 1: Students build a strong foundation in computing and programming, learning core skills in Python, SQL, and R while exploring principles of data analytics and software development. This year emphasizes practical coding, problem-solving, and understanding data structures essential for advanced studies.

Year 2: The focus shifts to advanced data handling and machine learning, covering distributed machine learning models, cloud computing platforms (Google Cloud, Microsoft Azure, AWS), and business intelligence applications. Students deepen their analytical skills and gain hands-on experience in deploying scalable data solutions.

Year 3: The final year emphasizes independent projects and applied research, integrating knowledge from previous years. Students engage in capstone projects, implement big data solutions, and critically evaluate technologies to recommend improvements, preparing them for professional practice or further study.

Focus Areas: Big Data Analytics, Machine Learning, Cloud Computing, Programming with Python/SQL/R, Data-Driven Solutions

Learning Outcomes: Graduates will be able to design, implement, and evaluate data science applications, deploy distributed machine learning models, analyze complex datasets, and provide actionable insights for business and technology contexts.

Professional Alignment (Accreditation): Meets the educational requirements of BCS, The Chartered Institute for IT for professional membership.

Reputation (Employability Rankings): Northumbria University London is recognised for strong employability outcomes and industry-aligned computing programs, equipping graduates with skills highly valued by employers.

Experiential Learning (Research, Projects, Internships etc.)

Absolutely! Embarking on the BSc (Hons) Data Science (Extended Degree) at Northumbria University isn’t just about learning theories—it’s about diving into experiences that connect your classroom learning with real-world applications. This extended degree gives you an extra year to strengthen your foundation, so when you move into specialized data science topics, you’ll feel confident and prepared. Throughout the program, you’ll gain hands-on experience through interactive modules, group projects, and access to advanced facilities—all designed to boost your skills and employability.

Here’s a closer look at the program’s experiential learning opportunities:

Experiential Learning Opportunities

Group Projects: Work together with your peers on assignments such as the Group Project in Contemporary Issues in Computing and Digital Technologies. You’ll tackle real-world case studies, sharpening your teamwork, problem-solving, and analytical skills.

Internship Module: Optional internships let you step into a professional environment and apply what you’ve learned in practice. These experiences are a great way to gain industry insight and strengthen your CV.

Hands-On Workshops: Modules like AI Fundamentals and Data Analytics include guided workshops where you’ll practice programming, data analysis, and artificial intelligence, building practical skills that employers value.

Access to Advanced Software and Tools: You’ll get hands-on experience with industry-standard software and tools, giving you a head start in meeting the technical demands of the data science field.

Collaborative Learning Environment: Participate in interactive seminars and group activities that foster collaboration and help you develop strong communication skills—essential for any data science professional.

Research-Led Teaching: Your learning will be informed by the latest research in computing and data science, ensuring you’re always up to date with current developments.

These experiential learning opportunities are designed to prepare you with the practical skills, confidence, and knowledge needed to thrive in the fast-paced world of data science.

Progression & Future Opportunities

Graduates of the Data Science (Extended Degree) BSc (Hons) from Northumbria University are well-equipped to embark on rewarding careers in the dynamic field of data science. The extended degree program includes a foundation year that provides a comprehensive introduction to computing and information science, ensuring that students build a solid base before advancing to specialized topics. This preparatory year is particularly beneficial for those who may not meet the standard entry requirements for an undergraduate degree.

Graduate Outcomes:
Upon completion, you can pursue roles such as:

  • Data Analyst

  • Machine Learning Engineer

  • AI Researcher

  • Business Intelligence Developer

Support and Opportunities at Northumbria University:

  • Employability Services: The university offers tailored career advice, CV workshops, and interview preparation to enhance your job readiness.

  • Industry Partnerships: Northumbria has established collaborations with leading tech companies, providing students with opportunities for placements and real-world experience.

  • Accreditation: The program is designed to meet industry standards, ensuring that your qualification holds long-term value in the job market.

  • Employment Statistics: While specific figures are not provided, the university's strong industry connections and comprehensive support services contribute to high employability rates among graduates.

Further Academic Progression:

After completing this program, you have the option to advance your studies by pursuing a Master's degree in Data Science or related fields. Northumbria University offers postgraduate programs that build upon the knowledge and skills gained during your undergraduate studies, allowing you to specialize further and enhance your career prospects.

If you have any more questions or need further information, feel free to ask!

Program Key Stats

£20,950
£ 29
Sept Intake : 14th Jan


No
Yes

Eligibility Criteria

BBC
N/A
31
65

N/A
N/A
6.0
N/A

Additional Information & Requirements

Career Options

  • Data Analyst
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence Developer
  • AI Specialist
  • Data Engineer
  • Statistician
  • Big Data Analyst
  • Predictive Analyst
  • Operations Analyst
  • Research Analyst
  • Quantitative Analyst
  • Database Administrator
  • Risk Analyst
  • Marketing Analyst

Book Free Session with Our Admission Experts

Admission Experts