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Artificial Intelligence and Computer Science BSc

The University of Newcastle offers an incredibly comprehensive and well-structured program for their Artificial Intelligence and Computer Science BSc degree! Not only do they provide a strong theoretical foundation, but they also emphasize practical application and real-world problem-solving. This balance can truly prepare students for a successful career in both industry and research.

 

Course Overview

Here are a few key highlights from the program:

  • Strong Theoretical and Practical Foundation: Courses cover essential topics in computer science and AI, ensuring a solid understanding of both fields.
  • AI-related Team Projects: Engaging in projects that combine state-of-the-art AI algorithms with software engineering practices.
  • Specialization Options: Flexibility in the third year to specialize in either Computer Science or Artificial Intelligence, based on your interests.
  • Skill Development for Career Readiness: Learning Java, participating in group work, and developing key skills essential for industry or research careers.

 

Why study Artificial Intelligence and Computer Science BSc at Newcastle?

 

Studying Artificial Intelligence and Computer Science BSc at Newcastle offers numerous advantages:

  1. State-of-the-Art Facilities: The university provides access to cutting-edge labs, including those for Medical Imaging, Intelligent Robotics, Human-Computer Interaction (HCI), and security. Computer Science students also benefit from dedicated teaching labs and a reference library specifically tailored to their field.
  2. AI Expertise: As a leading centre for AI teaching and research in Europe, Newcastle is home to acclaimed research groups, providing students with exposure to the latest advancements in AI.
  3. Industry Opportunities: The course offers a Year in Industry option, allowing you to gain hands-on experience and skills that will prepare you for a successful career after graduation.
  4. Supportive Environment: The department fosters a friendly and sociable atmosphere, with strong relationships between staff and students, enhancing your learning experience.
  5. Tailored Learning: In your third year, you can choose from flexible modules that allow you to focus on areas of particular interest or strength, making the program more personalized to your career aspirations.

In Year 1 of your AI and Computer Science degree, you will be introduced to key concepts and skills that lay the foundation for advanced studies in artificial intelligence and related fields. Here's a breakdown of what you will learn and experience:

Artificial Intelligence (AI) Topics:

  • Theories of Mind: You'll study how human cognition and thought processes can be modeled and understood through AI. This includes exploring how AI systems can simulate understanding and decision-making.
  • Techniques for Generating Intelligent Behavior: You'll delve into methods for creating intelligent agents, focusing on areas like game playing, problem-solving, and decision-making.
  • Human Language and Logic: This includes understanding natural language processing (NLP), semantics, and logic systems, enabling machines to understand and interact using human language.
  • Expert Systems: You’ll explore expert systems, with a focus on applications like medical diagnosis, learning how AI can assist in decision-making in specialized fields.
  • Experimentation with Techniques: You will implement AI techniques as computer programs, experimenting with various methods such as search algorithms, neural networks, or logic-based reasoning.

Computer Science Fundamentals:

  • Algorithms: Learn how algorithms are designed, analyzed, and applied to solve problems in computing, forming the basis for efficient AI solutions.
  • Software Engineering: Gain foundational knowledge in the software development life cycle, tools, and best practices for building scalable, maintainable, and reliable systems.
  • Mathematics for Computing: Mathematics will be a core part of your learning, especially in areas relevant to AI such as probability, linear algebra, calculus, and discrete mathematics.
  • Programming in Java: You will learn Java, a popular programming language used extensively in industry. This will include object-oriented programming, data structures, and how to develop software solutions effectively.

Robotics and Group Work:

  • Robot Programming: Explore the intersection of robotics and AI, where you'll learn to program robots and understand the underlying principles of intelligent robotics.
  • Group Work: In robotics and other modules, you’ll work collaboratively on projects, developing teamwork and communication skills, which are crucial for the workplace.

Applicants should normally have one of the following:

  • As & A Levels,
  • A Level 4 diploma or Year 1 Bachelor Degree or any equivalent overseas qualification
  • Or an academic or professional qualification at degree equivalent level

If English is not your first language, you will also need to demonstrate your English Language proficiency. For example, you should have IELTS 7.5 overall with a minimum of 6.5 in all components.


USA, UK & EU students, 2024/25 (per year)

 

USD 8,500

International students starting 2024/25 (per year)

 

USD13,100


Learning and Assessment

You’ll show your progress through a combination of written essays, problem-solving assignments and presentations.

All students take our core modules, but please note that the availability of optional modules is subject to demand.


Our courses are carefully designed to equip you with the essential knowledge, academic skills, and transferable skills needed to build a successful career in either industry or research.

Our Computer Science graduates are employed in graduate-level roles or pursuing further study within six months of graduation.

 


Course Features

  • Credit 120
  • Course CODE U6532
  • Duration 3 YEARS
  • Fee USD 20,000
  • Department Information Technology
  • Study Mode DISTANCE LEARNING/ AFFILIATE CAMPUS

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