BSc (Hons) Computer Science with Artificial Intelligence

Program Overview

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The BSc in Computer Science with Artificial Intelligence at the University of York equips graduates to become leaders in AI, combining computational thinking with engineering skills for practical problem-solving. The program emphasizes both theory and practice, preparing students for careers in the growing field of AI and producing graduates with skills attractive to employers.

Program Outline

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Degree Overview:

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Objectives:

• Equip graduates to become leaders in the field of Artificial Intelligence (AI).
• Help graduates understand the societal implications of their work.
• Combine computational thinking with engineering skills for practical problem-solving.
• Produce multi-skilled graduates competent in both software and AI.

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Description:

The BSc in Computer Science with Artificial Intelligence program at the University of York

• Prepares students for careers in the growing field of AI.
• Provides a solid foundation in computer science and specialized knowledge in AI.
• Emphasizes both theory and practice through real-world problem-solving.
• Produces graduates with skills attractive to employers, enabling immediate impact in the workforce.

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Accreditation:

Most courses are accredited by the BCS (the Chartered Institute for IT). Accreditation for this specific course will be sought upon the first cohort's graduation in 2026.

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Outline:

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Year 1:

• Focuses on building a solid foundation in computer science.
• Core modules include:
• Software 1: Foundations of Programming for Computer Science
• Theory 1: Mathematical Foundations of Computer Science
• Human-Computer Interaction
• Software 2: Objected Oriented Data Structures and Algorithms
• Systems and Devices 1: Introduction to Computer Architectures
• Theory 2: Formal Languages and Automata
• Academic integrity module is also required.

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Year 2:

• Builds upon the foundation from Year 1.
• Students explore various areas of computer science and begin specializing in AI.
• Core modules include:
• Data: Introduction to Data Science
• Systems and Devices 2: Operating Systems, Security, and Networking
• Theory 3: Computability, Complexity and Logic
• Intelligent Systems: Machine Learning and Optimisation
• Engineering 1: Systems and Software Engineering
• Systems and Devices 3: Advanced Computer Systems

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Year 3:

• Deep dive into specialized areas of interest, focusing on AI.
• Core modules include:
• Capstone Project in Artificial Intelligence
• Probabilistic and Deep Learning
• AI Problem Solving with Search and Logic
• Robotics and Autonomy
• Option modules allow for further specialization:
• Research Methods in Computer Science
• Player Experience in Digital Games
• Software Engineering for Adaptive and Autonomous Systems
• Cloud-based Computing
• Assurance and Proof
• Model-driven Engineering
• High-performance Parallel and Distributed Systems
• Legal Practice, Technology, and Computer Science
• Elective modules allow for additional flexibility.

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Learning Outcomes:

• Apply computational thinking to complex problems.
• Adapt to new technologies and advancements.
• Design and build computer-based systems for user needs.
• Engineer solutions with computation as a significant component.
• Contribute effectively in multidisciplinary teams.
• Operate as responsible computer science professionals.

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Assessment:

• Variety of assessment techniques used:
• Report writing
• Presentations
• Live demos
• Timed programming assessments
• Closed exams
• Feedback provided on all assessments.
• Departmental Examinations Team available for assessment queries.

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Teaching:

• Small group teaching.
• Active researchers and experts as instructors.
• Regular supervision meetings with personal supervisor.
• Problem classes for applying knowledge.
• Individual project supervision.
• Modern and self-contained building with dedicated facilities.
• 24/7 access to labs.
• Extensive range of software and hardware laboratories.

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Careers:

• Opportunities in various sectors:
• Software and electronics industries
• Financial Services
• Further Studies (e.g., PhD)
• Diverse industries leveraging computer science expertise
• Examples of previous graduates' employers:
• Amazon
• BAE Systems
• Morgan Stanley
• G Research
• Thales
• Civil Service
• M&G Investments
• Ubisoft
• Rapita Systems
• Sky
• BT
• Raspberry Pi
• IBM
• JP Morgan
• Hut Group
• Automaton Games

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Other:

• Athena SWAN Bronze Award for commitment to gender equality.
• Excellent reputation in the field based on departmental research performance.
• Strong emphasis on student support and guidance.
• Gold-standard education recognized by the Office for Students.

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Please note:

• This program starts in September 2024.
• The information provided above is based on the context given and may be subject to change.
It is recommended to consult the official university website for the most up-to-date information.

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Tuition Fees and Payment Information:

UK (home) fees: £9,250 per year International and EU fees: £28,800 per year