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5 Years On Campus Bachelors Program
University of YorkThe MSci (Hons) Data Science (with a year in industry) at the University of York offers an intensive five-year journey into data science, blending academic rigor with practical industry experience. Designed for those aiming to become leaders in data analytics, the program equips students with the skills to analyze, interpret, and manage complex data sets, preparing them for impactful roles across various sectors.
Curriculum Structure:
Year 1: Students establish a strong foundation in mathematics and computing, with modules such as "Mathematical Methods for Data Science" and "Introduction to Programming." These courses emphasize problem-solving and analytical thinking, ensuring readiness for more advanced topics.
Year 2: The focus shifts to data analysis and statistical methods, with modules like "Data Structures and Algorithms" and "Statistical Modelling." Students delve into machine learning techniques and data visualization, enhancing their ability to extract insights from data.
Year 3: This year includes a placement in industry, allowing students to apply their skills in a real-world setting. The "Data Science in Practice" module bridges academic learning with industry challenges, fostering professional growth and networking opportunities.
Year 4: Students return to campus to deepen their expertise in areas such as "Advanced Machine Learning" and "Big Data Technologies." Emphasis is placed on research methodologies and preparing for the final-year project.
Year 5: The program culminates in a substantial research project, where students tackle complex data science problems, demonstrating their ability to conduct independent research and contribute to the field.
Focus Areas: Data analysis, machine learning, statistical modelling, big data technologies, industry application.
Learning Outcomes: Proficiency in programming, statistical analysis, data visualization, machine learning, and research methodologies.
Professional Alignment: The program is designed to meet industry standards, with a year in industry providing practical experience that enhances employability.
Reputation: The University of York is renowned for its strong emphasis on research and teaching excellence, consistently ranking among the top institutions in the UK.
At the University of York, the MSci (Hons) Data Science with a Year in Industry program is designed to give you hands-on experience with the tools and techniques that shape the data-driven world. From the very start, you'll engage with practical coding, data analysis, and machine learning, developing the skills needed to tackle real-world challenges. The program integrates computational thinking, mathematical foundations, and engineering skills, ensuring that every student can confidently work with data in professional environments. You'll have access to advanced software labs and collaborative spaces to bring your projects to life.
Opportunities for experiential learning include:
Fully equipped software labs designed for both individual and group work, supporting coding, data analysis, and machine learning projects.
Access to modern software tools used in industry-standard data science practices.
Group projects that simulate real-world data challenges, fostering teamwork and problem-solving.
A year-long industrial placement, allowing you to apply your skills in a professional setting and gain valuable work experience.
Focused research projects in data science to develop practical problem-solving abilities in commercial and industrial contexts.
Library and departmental resources that support advanced study and research in computer science and mathematics.
Engagement with interdisciplinary teams to understand societal impacts of data-driven decisions.
This program ensures you graduate not just with theoretical knowledge, but with concrete, market-ready skills developed through immersive, practical experiences.
Graduates of the MSci (Hons) Data Science (with a year in industry) at the University of York leave with a strong, versatile skill set in mathematics, computing, and data analysis, making them highly sought after by employers. Typical roles include Data Scientist, Machine Learning Engineer, and Data Analyst:
University services for employment: The York Careers Service offers one-on-one guidance, skills workshops, CV and interview preparation, and access to graduate recruitment fairs.
Employment stats & salary figures: York computer science graduates have an excellent employment rate, with many securing roles within six months of graduation; starting salaries for data science positions typically range from £28,000–£35,000.
University–industry partnerships: Students benefit from connections with companies during the year in industry, providing real-world experience and networking opportunities with leading tech and analytics firms.
Long-term accreditation value: The course aligns with professional standards in data science and computing, enhancing career recognition and credibility.
Graduation outcomes: Graduates are equipped to make immediate contributions in commercial, industrial, and research settings, with the ability to analyze complex data and deliver actionable insights.
Further Academic Progression: Students may choose to continue their studies with a Master’s or PhD in Data Science, Artificial Intelligence, or related fields, deepening their expertise and opening doors to advanced research or leadership positions in the tech and analytics sectors.
A levels: A*AA including Mathematics. If you are studying towards a fourth A level, we will make an alternative offer of AAAA including Mathematics.IB: 37 points overall, including grade 6 in Higher Level Mathematics (either Analysis and Approaches or Applications and Interpretations).IELTS: 6.5, with a minimum of 6.0 in each componentTOEFL: 87 overall, with a minimum of 21 in each componentFor Indian applicants: India Standard XII (CBSE and CISCE boards): Minimum 75% to 85% overall score - overall score accepted from best four subjects.India Standard XII (other state boards): Minimum 75% to 85% overall score - overall score accepted from best five subjects.For US applicants: A level equivalent; College Board Advanced Placement tests (APs)555; Dual Enrolment/College-level class credit from Grade 11 or 12; A+, A, A- in International Baccalaureate Higher Level Subjects; Grade 11 or 12 Honors classes; A+, A, A- in Grade 11 or 12 AP class; ACT Composite 28; SAT 1350 (min 700 Maths, 650 ERW)Data ScientistMachine Learning EngineerData AnalystBusiness Intelligence AnalystAI SpecialistData EngineerQuantitative AnalystStatisticianResearch ScientistBig Data ConsultantSoftware EngineerOperations Analyst
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