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Artificial Intelligence

Artificial Intelligence

Anglia Ruskin University

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Location

United Kingdom

Qualification

Under Graduate(UG)

Fees

£17,500

Duration

3 years

Next intake

Spring

Entry score

112 UCAS Tariff points from a minimum of 2 A Levels (or equivalent), including a pass in Mathematics at grade E or above. 3 GCSEs at grade C, or grade 4, or above, including English and Maths. If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.0 (Academic level- with no individual score being lower than 5.5) or equivalent English Language qualification, as recognised by Anglia Ruskin University.

Overview: Dive into the world of Artificial Intelligence (AI) and explore how intelligent systems are transforming our lives. This course equips you with the skills to develop AI technologies, understand machine learning, and apply AI solutions to real-world problems.

Key Features:

  1. Comprehensive Curriculum 📚 – Study core areas including machine learning, neural networks, natural language processing, and robotics.
  2. Hands-On Projects 🛠️ – Work on practical projects and real-world problems to apply what you’ve learned and build a strong portfolio.
  3. Expert Faculty 👨‍🏫 – Learn from experienced professionals and researchers who are at the forefront of AI innovation.
  4. Cutting-Edge Tools 💻 – Gain experience with the latest AI tools, software, and technologies used in the industry.
  5. Research Opportunities 🔬 – Engage in groundbreaking research and contribute to advancements in AI.
  6. Industry Connections 🌐 – Benefit from collaborations with leading AI companies and organizations, providing networking and career opportunities.
  7. Flexible Learning 📅 – Enjoy options for full-time or part-time study to fit your schedule and learning preferences.

Career Prospects: Graduates are well-prepared for roles such as AI Engineer, Machine Learning Specialist, Data Scientist, and more, in various sectors including tech, healthcare, finance, and beyond.

Why Choose This Course? If you’re passionate about technology and eager to shape the future with AI, this course offers the knowledge, skills, and opportunities to help you succeed in this dynamic field. 🌟🔍

  1. Understanding AI Concepts 📚 – Gain a solid grasp of key AI principles, including machine learning, deep learning, natural language processing, and computer vision.
  2. Algorithm Development 💻 – Develop and implement algorithms for various AI applications, from simple data analysis to complex problem-solving tasks.
  3. Data Handling 📊 – Learn how to preprocess, analyze, and interpret large datasets to extract meaningful insights and make data-driven decisions.
  4. Model Training and Evaluation 🧠 – Train AI models using diverse datasets, and evaluate their performance using metrics and validation techniques.
  5. Ethics and Bias Management ⚖️ – Understand ethical considerations in AI development, including fairness, transparency, and the mitigation of biases in AI systems.
  6. Problem-Solving Skills 🛠️ – Apply AI techniques to solve real-world problems, developing solutions that are practical and effective.
  7. Programming Proficiency 💡 – Gain proficiency in programming languages and tools commonly used in AI, such as Python, TensorFlow, and PyTorch.
  8. Project Management 📅 – Manage AI projects from conception through implementation, including planning, resource allocation, and progress tracking.
  9. Collaboration and Communication 🗣️ – Work effectively in teams, communicate complex AI concepts clearly, and present findings to both technical and non-technical audiences.
  10. Innovation and Research 🚀 – Stay abreast of the latest advancements in AI, contributing to ongoing research and innovation in the field.

Master these outcomes, and you’ll be well-prepared to excel in the dynamic and rapidly evolving world of artificial intelligence! 🌐✨

  • Cutting-Edge Curriculum 📚: Dive into a state-of-the-art AI program with the latest technologies and methodologies.
  • Expert Faculty 👩‍🏫: Learn from experienced professionals and researchers who are leaders in the field.
  • Hands-On Experience 🛠️: Gain practical skills through projects, labs, and real-world applications.
  • Innovative Research Opportunities 🔬: Get involved in groundbreaking AI research and contribute to exciting discoveries.
  • Industry Connections 🌐: Benefit from strong links with tech companies and gain valuable industry insights.
  • Supportive Learning Environment 🏫: Enjoy a friendly and collaborative atmosphere with plenty of resources and support.
  • Career Prospects 🚀: Enhance your employability with a degree from a university known for its high-quality education and strong industry ties.

Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.

Accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.

Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as an Incorporated Engineer and partly meeting the academic requirement for registration as a Chartered Engineer.

Designed to fill a skills gap and meet a growing need for talented graduates, our BSc (Hons) Artificial Intelligence degree is supported by the Intel AI Academy.

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