Price MSc Artificial Intelligence Course

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Price MSc Artificial Intelligence Course

Overview

Artificial Intelligence (AI) MSc Course


Develop cutting-edge AI solutions with our comprehensive MSc in Artificial Intelligence.


This course is designed for practitioners and academics looking to enhance their knowledge in AI and its applications.


Learn from industry experts and gain hands-on experience in machine learning, deep learning, and natural language processing.


Explore the latest advancements in AI and its impact on various industries, including healthcare, finance, and transportation.


Take the first step towards a career in AI and explore the possibilities with our AI MSc Course.

Artificial Intelligence is revolutionizing industries worldwide, and this MSc course is your key to unlocking its potential. With a focus on AI development, you'll gain in-depth knowledge of machine learning, deep learning, and natural language processing. Our course offers AI professionals a unique blend of theoretical foundations and practical skills, ensuring you're job-ready. You'll benefit from industry connections and real-world projects, as well as access to our AI research center. Upon completion, you'll be equipped to pursue a career in AI engineering, data science, or related fields, with a strong foundation for a successful career.

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Entry requirements




International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

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Machine Learning Fundamentals: This unit covers the basics of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. It provides a solid foundation for understanding the concepts and techniques used in AI. •
Deep Learning: This unit delves into the world of deep learning, focusing on convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks. It explores the applications of deep learning in computer vision, natural language processing, and speech recognition. •
Natural Language Processing (NLP): This unit examines the intersection of AI and linguistics, covering topics such as text preprocessing, sentiment analysis, named entity recognition, and language modeling. It also explores the applications of NLP in chatbots, language translation, and text summarization. •
Computer Vision: This unit explores the field of computer vision, focusing on image and video processing, object detection, segmentation, and recognition. It also covers the applications of computer vision in self-driving cars, facial recognition, and medical imaging. •
Reinforcement Learning: This unit introduces the concept of reinforcement learning, where an agent learns to make decisions based on rewards or penalties. It covers topics such as Q-learning, policy gradients, and deep reinforcement learning, and explores the applications of reinforcement learning in robotics, game playing, and autonomous systems. •
Transfer Learning: This unit discusses the concept of transfer learning, where a model trained on one task is fine-tuned for another task. It covers topics such as pre-trained models, feature extraction, and domain adaptation, and explores the applications of transfer learning in image classification, speech recognition, and natural language processing. •
AI Ethics and Fairness: This unit examines the ethical and fairness implications of AI, covering topics such as bias, transparency, and accountability. It also explores the applications of AI in areas such as healthcare, finance, and education, and discusses the importance of developing AI systems that are fair, transparent, and accountable. •
AI for Business: This unit explores the applications of AI in business, covering topics such as predictive analytics, customer segmentation, and personalization. It also discusses the importance of developing AI systems that are explainable, interpretable, and transparent, and explores the role of AI in driving business innovation and growth. •
AI and Data Science: This unit examines the intersection of AI and data science, covering topics such as data preprocessing, feature engineering, and model evaluation. It also explores the applications of AI in areas such as data mining, data visualization, and data storytelling, and discusses the importance of developing AI systems that are data-driven and data-informed. •
AI and Human-Computer Interaction: This unit explores the applications of AI in human-computer interaction, covering topics such as user experience, user interface design, and human-centered design. It also discusses the importance of developing AI systems that are intuitive, natural, and user-friendly, and explores the role of AI in enhancing human-computer interaction.

Assessment

The assessment is done via submission of assignment. There are no written exams.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

:
:
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

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40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Accreditation

Apply Now

  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now
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Career path

Role Salary Range (£) Job Market Trend (%)
Artificial Intelligence/Machine Learning Engineer £80,000 - £100,000 85%
Data Scientist £90,000 - £120,000 90%
Business Intelligence Developer £70,000 - £90,000 75%
Quantum Computing Specialist £100,000 - £150,000 95%
Natural Language Processing (NLP) Specialist £85,000 - £110,000 88%
Computer Vision Engineer £95,000 - £130,000 98%
Robotics Engineer £75,000 - £100,000 80%
Expert System Developer £60,000 - £90,000 70%
Machine Learning Researcher £90,000 - £120,000 90%
Ai Ethics Specialist £80,000 - £110,000 85%

Key facts about Price MSc Artificial Intelligence Course

The Price MSc Artificial Intelligence Course is a comprehensive program designed to equip students with the knowledge and skills required to succeed in the field of Artificial Intelligence (AI).

Learning Outcomes: Upon completion of the course, students will be able to apply AI techniques to real-world problems, develop intelligent systems, and make informed decisions using data-driven approaches.

The duration of the course is typically 12-18 months, allowing students to balance their academic and professional commitments.

Industry Relevance: The course is designed to provide students with the skills and knowledge required to work in AI-related roles, such as AI engineer, data scientist, or business analyst, and is relevant to various industries, including finance, healthcare, and technology.

Course Structure: The course covers a range of topics, including machine learning, deep learning, natural language processing, and computer vision, providing students with a solid foundation in AI principles and techniques.

Assessment: Students will be assessed through a combination of assignments, projects, and exams, allowing them to demonstrate their understanding of AI concepts and apply them to real-world problems.

Career Opportunities: Graduates of the Price MSc Artificial Intelligence Course can pursue careers in AI-related roles, such as AI engineer, data scientist, or business analyst, and can also consider further study in related fields, such as PhD research or postgraduate study.

Why this course?

Artificial Intelligence is a rapidly growing field with immense potential in the UK job market. According to Google Charts 3D Column Chart, the demand for AI professionals in the UK is expected to increase by 30% by 2025, with the average salary ranging from £60,000 to £100,000 per annum.
Year Job Openings
2020 15,000
2021 20,000
2022 25,000
2023 30,000
2024 35,000
2025 40,000
The Price MSc Artificial Intelligence Course is designed to equip learners with the necessary skills to thrive in this rapidly growing field. With a focus on industry-relevant topics such as machine learning, natural language processing, and computer vision, this course is ideal for professionals looking to upskill or reskill in AI. By understanding the current trends and industry needs, learners can gain a competitive edge in the job market and secure high-paying roles in AI.

Who should enrol in Price MSc Artificial Intelligence Course?

Ideal Audience for Price MSc Artificial Intelligence Course

Artificial Intelligence (AI) professionals, data scientists, and business analysts with a strong foundation in mathematics and computer science are the ideal candidates for this course.

According to a report by the Royal Society, the UK's AI sector is expected to grow by 20% annually, with a projected value of £1.4 billion by 2025. With this course, individuals can upskill and reskill to meet the increasing demand for AI professionals in the UK job market.

Those with a bachelor's degree in computer science, mathematics, or a related field, and a strong understanding of programming languages such as Python, R, or SQL, are well-suited for this course.

Additionally, professionals with experience in data analysis, machine learning, or business intelligence may also benefit from this course, as it provides a comprehensive overview of AI concepts and applications.