Undergraduate Credit Prescribing for Practice (V150)

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Undergraduate Credit Prescribing for Practice (V150)

Overview

The Undergraduate Credit Prescribing for Practice (V150) course is designed to provide students with the knowledge, skills, and experience needed to prescribe safely, appropriately, and cost-effectively.

Entry Requirements

• Either a Level 1 Registered Nurse or Midwife with at least one year post-registration experience in the field of practice.
• Supported by an NHS Trust or equivalent employer.
• The minimum academic entry requirement is 120 Level 4 credits and 120 Level 5 credits.

Funding

• Self-funding: If you don’t want to take out a loan to pay your fees or if you aren’t eligible to receive a loan, you might want to take advantage of the University’s scheme to pay by instalments: see How to pay.
• Your employer, embassy or organisation can pay for your Tuition fees: If your employer, embassy or organisation agrees to pay all or part of your tuition fees; the University will refer to them as your sponsor and will invoice them for the appropriate amount.
• Financial Hardship: Students can apply to the Dennis Turner Opportunity Fund for help with course related costs however this cannot be used for fees or to cover general living costs.
• Bursaries and Scholarships: In addition the University also offers a range of Bursaries and Scholarships packages.

Modules

• Prescribing for Practice (V150)
  • Module: 6NH032
  • Credits: 20
  • Period: 1
  • Type: Core

Additional Information

• Everything you need to know about this course!

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• Undergraduate Credit Prescribing for Practice (V150) - University of Wolverhampton

Apply for Prescribing for Practice (V150)

• Undergraduate Credit Part-time 17 weeks

Course Options

• Location: University: City Campus
• Study mode: Part-time
• Duration: 17 weeks
• Start date: 6 January 2025
• CLOSED

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Program Outline

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Degree Overview:

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Overview:

The MSc Computer Science with Artificial Intelligence is a 100% online, part-time postgraduate program designed for graduates and mid-career professionals who want to develop specialized AI skills within a broad computer science foundation. This program provides students with the knowledge and practical skills needed to excel in the fast-growing field of AI, preparing them for real-world careers in this exciting area.

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Objectives:

• Equip students with a broad knowledge of computer science, covering both the skills, engineering, and science aspects of the discipline.
• Develop essential problem-solving skills and the ability to apply them effectively through coding and other relevant approaches.
• Foster expertise in artificial intelligence and computational problem-solving techniques.
• Introduce students to the principles of software development, while strengthening their software engineering skills.
• Offer opportunities to gain additional skills in programming, software engineering, data analytics and cyber security.
• Enable students to effectively plan and implement machine learning algorithms.

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Program Description:

This program combines a strong foundation in computer science with a specialization in artificial intelligence. The curriculum is designed to provide a comprehensive understanding of AI concepts, techniques, and applications, alongside the theoretical and practical knowledge of computer science. The program consists of 12 core modules and 3 elective modules, allowing students to personalize their learning and tailor their skillset to their specific interests and career goals. The modules cover topics such as programming, algorithms, web technologies, object-oriented programming, databases, big data analytics, artificial intelligence, cloud computing, machine learning, and more. The program is delivered online, allowing students to learn at their own pace and convenience, and is suitable for busy professionals who need to balance their studies with work and other commitments. The flexible start dates allow students to begin their studies whenever they are ready.

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Other Information:

• Program Duration: 24 months
• Delivery Mode: 100% Online
• Start Dates: Flexible (3 times per year)
• Total Credits: 180
• Tuition Fees: £650 per 15-credit module
• Assessment: Coursework (assignments, projects) and examinations
• Accreditation: University of London

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Outline:

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Content:

The program covers a wide range of topics, including:

• Programming and Algorithms
• Web Technologies
• Object Oriented Programming
• Databases
• Big Data Analytics and Visualisation
• Artificial Intelligence
• Cloud Computing
• Machine Learning
• Individual Project
• And elective modules such as:
• Human Computer Interaction
• Software Engineering
• Computer Systems and Networks
• Cyber Security

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Structure:

The program is structured as follows:

• 12 core modules (15 credits each)
• 3 elective modules (15 credits each)
• Individual project (30 credits)

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Course Schedule:

The program is offered on a flexible schedule, with three intakes per year. Students can choose to start their studies in January, May, or September.

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Individual Modules:

• Programming and Algorithms: This module introduces students to the fundamentals of programming and algorithm design.
• Web Technologies: Students learn about the theoretical and practical aspects of web technologies, including web development and a wide range of underlying technologies.
• Object Oriented Programming: This module builds on the programming skills developed in the previous module and introduces the concept of object-orientation in programming.
• Databases: Students gain a comprehensive understanding of database concepts, including the design, development, and implementation of relational and non-relational databases.
• Big Data Analytics and Visualisation: This module covers the key concepts of big data analytics and visualization techniques, enabling students to analyze and interpret data effectively.
• Artificial Intelligence: Students explore the principles and applications of artificial intelligence, including knowledge representation, search, and machine learning.
• Cloud Computing: This module introduces the concepts of cloud computing, including cloud architectures, technologies, and application development.
• Machine Learning: Students gain a deeper understanding of machine learning principles, algorithms, and applications.
• Individual Project: This project allows students to apply their acquired knowledge and skills to a topic of their choice, culminating in a substantial independent research or development project.
• Elective Modules: Students choose three elective modules from the available options to personalize their learning and specialize in areas of interest.

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Assessment:

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Assessment Methods:

• Coursework assignments
• Projects
• Examinations

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Assessment Criteria:

• Knowledge and understanding of the subject matter
• Problem-solving and analytical skills
• Communication and presentation skills
• Project management and research skills

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Teaching:

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Teaching Methods:

• Online lectures
• Tutorials
• Online discussions
• Self-directed learning
• Individual support from tutors

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Faculty:

The program is taught by experienced academics and industry professionals with expertise in computer science and artificial intelligence.

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Unique Approaches:

• The program utilizes a blended learning approach, combining online lectures with practical assignments and projects.
• Students benefit from personalized support from dedicated tutors throughout their studies.
• The program emphasizes industry relevance, ensuring that the curriculum and teaching methods are aligned with current industry needs and trends.

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Careers:

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Potential Career Paths:

• Data Analyst
• Data Engineer
• Machine Learning Engineer
• Robotics Engineer
• Deep Learning Engineer
• And many other roles in the growing field of AI.

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Career Opportunities:

Graduates of this program are well-equipped to pursue a variety of careers in the field of artificial intelligence. The program provides students with the skills and knowledge needed to work in various industries, including:

• Technology companies
• Financial services
• Healthcare
• Manufacturing
• Government agencies
• Research organizations

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Career Outcomes:

Graduates of this program have a high employment rate in the field of artificial intelligence. Alumni have gone on to work for leading companies such as Google, Amazon, Microsoft, and Facebook.

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Other:

• The program is designed for graduates and mid-career professionals who want to upskill into a digital career in artificial intelligence.
• The program is delivered online, allowing students to learn at their own pace and convenience.
• The flexible start dates and part-time structure make this program ideal for busy professionals who need to balance their studies with work and other commitments.
• The program is offered at an affordable price, with a pay-as-you-go payment option available.

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Conclusion:

The MSc Computer Science with Artificial Intelligence program at City, University of London is a comprehensive and flexible program that provides students with the knowledge and skills needed to succeed in the exciting field of artificial intelligence. This program is an excellent choice for graduates and mid-career professionals who want to develop their careers in this rapidly growing area.