Data Science (Study Abroad) BSc Hons

Lancaster University's Data Science (Study Abroad) BSc Hons programme equips students with hands-on experience in data science techniques and tools. From day one, you engage with real-world datasets and industry-standard software, enhancing your practical skills and preparing you for a competitive job market. The programme emphasizes collaborative work, problem-solving, and independent research, supported by state-of-the-art facilities and expert faculty guidance.

Students benefit from a mix of laboratory work, group projects, and opportunities to study abroad, allowing them to apply theoretical knowledge in diverse contexts and develop a global perspective. Lancaster University provides extensive resources, including specialized computing labs, access to leading data analysis software, and the University's library and Data Science Institute, to support experiential learning:

• Hands-on experience with industry-standard software such as Python, R, SQL, and MATLAB

• Collaborative group projects simulating real-world data challenges

• Dedicated computer laboratories equipped for advanced data analytics

• Access to the Lancaster University Library and digital research resources

• Opportunities for research and mentorship through the Data Science Institute

• Optional study abroad year to gain international exposure and practical experience

• Field trips and workshops connecting students with industry practitioners

• Opportunities for internships and work placements to develop professional skills

• Independent projects and dissertation work to hone problem-solving and analytical abilities

This practical, immersive approach ensures students leave Lancaster with not only a deep understanding of data science but also the confidence to apply their skills in professional settings.

Graduates of the Data Science (Study Abroad) BSc Hons programme at Lancaster University are well-prepared to build successful careers across a variety of sectors. With a solid foundation in computer science and statistics, combined with valuable international experience, students are equipped for roles such as Data Analyst, Machine Learning Engineer, Business Intelligence Developer, and Data Scientist.

Key Highlights

University Services Supporting Employability:
Lancaster University offers tailored foundation pathways through its partnership with INTO Lancaster University, helping students strengthen their subject knowledge and English language skills, ensuring they start their degree fully prepared.

Top-Quality Teaching and Resources:
The School of Computing and Communications and the School of Mathematical Sciences provide modern facilities and excellent teaching, giving students access to the latest technology and cutting-edge knowledge.

Employment Statistics and Salary Figures:
Graduates from the School of Computing and Communications report a median salary of around £34,000 just 15 months after finishing their degree, according to recent graduate surveys.

University–Industry Partnerships:
Lancaster University works closely with major companies including IBM, Google, BBC, and BAE, giving students opportunities to collaborate with industry leaders and gain real-world experience.

Accreditation and Professional Recognition:
The programme is working towards meeting the emerging standards for Data Science accreditation, as defined by professional bodies like the British Computer Society and the Royal Statistical Society, enhancing the degree’s long-term value.

Graduation Outcomes:
The degree equips students with a thorough understanding of computer science and mathematical methods, preparing them for a wide range of data science careers.

Further Academic Progression

Pursue a Master’s Degree:
Students can continue their studies with postgraduate programmes in data science, artificial intelligence, or related fields, building on the strong foundation gained during their undergraduate degree.

Engage in Research:
Those interested in research can join research groups at Lancaster University or other institutions, focusing on areas like machine learning, big data analytics, or computational statistics.

Professional Development:
Graduates can also pursue professional certifications or training programmes to specialize in particular tools or technologies, further enhancing their skills and employability.

The international experience gained during the study abroad year provides a unique perspective that can be especially valuable in global job markets.