MSci (Hons) Data Science

At the University of York, the MSci Data Science program emphasizes hands-on, experiential learning, ensuring students graduate with practical, industry-ready skills. From the first year, students engage in real-world data analysis, coding, and machine learning projects, applying mathematical and computational theories to tangible problems. The university’s state-of-the-art facilities, including dedicated software labs and access to advanced digital tools, allow students to experiment, collaborate, and innovate in a professional-like environment. Group projects, research-focused modules, and a final-year capstone project further develop teamwork, problem-solving, and analytical capabilities.

Students gain practical experience through a variety of opportunities, including:

• Fully equipped software labs designed for individual and group work, supporting coding, data analysis, and machine learning tasks.

• Use of industry-relevant software and digital tools integrated into coursework.

• Group projects and collaborative assignments that simulate real-world data science challenges.

• A focused research project in the final year to develop professional problem-solving and analytical skills.

• Optional placement year in industry to gain firsthand professional experience and enhance employability.

• Access to the university library and specialized resources for data science research.

• Exposure to multidisciplinary teams and real-world datasets to build communication and project management skills.

• Integration of computational thinking, mathematical foundations, and engineering skills to address complex data problems.

This experiential approach ensures that students not only learn the theory behind data science but also how to apply it effectively in diverse professional contexts.

Graduates of the MSci (Hons) Data Science program at the University of York are well-prepared for impactful roles in a variety of sectors. The program equips students with a strong foundation in data analysis, machine learning, and computational techniques, enabling them to pursue careers such as:

• Data Analyst

• Data Scientist

• Machine Learning Engineer

• Quantitative Researcher

The University's commitment to student success is evident through various support services and opportunities:

• Dedicated Placements Team: Assists students in preparing for and securing placements, enhancing practical experience.

• BCS Accreditation: Many courses are accredited by the British Computer Society, ensuring industry-recognized qualifications.

• Scholarships and Funding: Opportunities available to support students financially during their studies.

• State-of-the-Art Facilities: Access to four software and two hardware laboratories, an Accessibility and Usability Lab, and a Games Research Lab, fostering a conducive learning environment.

While specific employment statistics and salary figures are not detailed, the program's comprehensive curriculum and industry connections position graduates for competitive roles in the data science field.

The MSci (Hons) Data Science program holds long-term accreditation value, recognized by professional bodies, ensuring that graduates meet industry standards and are well-prepared for the evolving data landscape.

Further Academic Progression:

Upon completion of the MSci (Hons) Data Science program, graduates have the opportunity to further their studies through various postgraduate courses offered by the University of York. Options include:

• MSc Data Science: Delve deeper into specialized areas of data science, building upon undergraduate knowledge.

• MSc Artificial Intelligence: Explore advanced concepts in AI, complementing the data science foundation.

• MSc Cyber Security: Gain expertise in securing data and systems, a critical area in the digital age.

These postgraduate programs provide avenues for specialization and advanced research, further enhancing career prospects in the dynamic field of data science.