| Program start date | Application deadline |
| 2024-09-01 | - |
Program Overview
The BSc (Hons) Data Science program at the University of York equips students with a comprehensive foundation in computer science, mathematics, and engineering for a successful career in data science. Through a combination of core modules, option modules, and a year in industry, students develop critical thinking, analytical skills, and the ability to make actionable conclusions from data analysis. Graduates are well-prepared for careers as data scientists, data analysts, software engineers, and other data-related roles.
Program Outline
Degree Overview:
Program Overview:
The BSc (Hons) Data Science (with a year in industry) program aims to equip students with the skills and knowledge to become multi-skilled, highly competent graduates who can contribute to their career field and understand the implications of their work. The program combines computer science, mathematics, and engineering to provide a well-rounded foundation for success in data science.
Objectives:
- Provide students with a strong foundation in the principles and practices of data science.
- Develop critical thinking and analytical skills for analyzing and mining data.
- Teach students how to make actionable conclusions from data analysis.
- Enable students to participate effectively in multidisciplinary teams.
- Prepare students for successful careers in data science.
Description:
The program focuses on three core areas:
- Computer science: This includes coding, machine learning, and other essential computational tools.
- Mathematics: Students will learn probability, statistics, calculus, and other relevant mathematical concepts.
- Engineering: This includes software engineering, systems analysis, and other relevant engineering skills. Students will complete modules covering topics such as software development, probability and statistics, data analysis, machine learning, artificial intelligence, and data visualization. They will also have the opportunity to complete a research project in the field of data science.
Outline:
Year 1:
- Core modules:
- Software 1: Foundations of Programming for Computer Science
- Introduction to Probability and Statistics
- Foundations and Calculus
- Software 2: Object Oriented Data Structures and Algorithms
- DATA: Introduction to Data Science
- Multivariable Calculus and Matrices
- Academic integrity module: This module covers essential skills for independent study and academic integrity.
Year 2:
- Core modules:
- Systems and Devices 2: Operating Systems, Security, and Networking
- Engineering 1: Software and Systems Engineering
- Probability and Markov Chains
- Intelligent Systems: Machine Learning and Optimisation
- Linear Algebra
- Statistical Inference and Linear Models
Year 3:
- Year in industry: Students will spend this year working in a relevant industry placement. They will be supported by the University's Industrial Placements Team in finding a placement and developing their professional skills.
Year 4:
- Core modules:
- Computer Science project or Mathematics project
- Option modules:
- Students will choose four option modules from a wide range of topics related to data science, mathematics, and computer science.
Assessment:
Assessment in the program uses various methods, including:
- Written exams: These will assess students' understanding of key concepts and theories.
- Coursework assignments: These will allow students to apply their knowledge to real-world problems and develop their practical skills.
- Presentations: Students will present their findings from their research project or other coursework assignments.
- Project work: Students will complete an independent research project in their chosen area of data science.
Teaching:
The program is taught by a team of experienced and research-active academics. The teaching methods include:
- Lectures: These provide students with an overview of key concepts and theories.
- Seminars: These allow students to discuss course material in more detail and ask questions.
- Workshops: These provide students with hands-on experience using data analysis tools and techniques.
- лабораторные работы: These provide students with an opportunity to practice their programming skills.
- One-on-one supervision: Students will meet regularly with their supervisor to discuss their progress and receive feedback.
Careers:
Graduates of the program are well-prepared for careers in a variety of fields, including:
- Data scientist: This role involves collecting, analyzing, and interpreting data to solve business problems.
- Data analyst: This role involves analyzing data to identify trends and patterns.
- Software engineer: This role involves designing and developing software applications.
- Machine learning engineer: This role involves developing and implementing machine learning algorithms.
- Data visualization specialist: This role involves creating visual representations of data. The program also prepares students for further study in data science or related fields.
Other:
- The program is accredited by the British Computer Society (BCS).
- Students have access to a dedicated data science lab with state-of-the-art equipment.
- The University of York has a strong reputation for research in data science.
- The program is taught in English.
Tuition Fees and Payment Information:
UK (home) fees: £9,250 per year International and EU fees: £28,800 per year UK (home) or international fees? The level of fee that you will be asked to pay depends on whether you're classed as a UK (home) or international student. Check your fee status. Fees for subsequent years UK (home) fees may increase within the government fee cap in subsequent academic years. We will notify you of any increase as soon as we can. International fees are subject to increase in subsequent years in line with the prevailing Consumer Price Index (CPI) inflation rate (up to a maximum of 10%). More information For more information about tuition fees, any reduced fees for study abroad and work placement years, scholarships, tuition fee loans, maintenance loans and living costs see undergraduate fees and funding. Additional costs There are unlikely to be any mandatory additional costs associated with the course, although you may want to set aside £200 for optional photocopying and personal stationery over the duration of the course.
