L O A D I N G
artificial intelligence

Artificial Intelligence

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.

Overview

Artificial Intelligence solutions become an inseparable part of our lives, driving demand on the job market for AI specialists. Gartner included AI in its top strategic technology trends for 2021; according to Forbes, 84% of global business organisations believe that AI will give them a competitive advantage.

Artificial Intelligence Technology programme is focused on developing your abilities as a digital leader, capable of identifying and implementing technical solutions to deliver future improvements to your organisation.

Key Facts

  • Develop in-demand skills to work in a range of roles in the IT industry
  • Train and deploy distributed machine learning modules using cloud-based platforms such as Google Cloud or AWS
  • Upon completion of your programme, you will be eligible for the QA Professional Pathways programmes which will enable you to further develop your skills with one of the UK's largest providers of IT and project management training

What will I study?

To accelerate your learning, you will be exposed to theories and principles relating to the design, development and testing of software using AI. Students will learn programming with R and how to conceptualise software requirements into software architectural patterns.

You will become familiar with the issues underlying the problem of corruption, which is the abuse of trusted power for private gain. Reducing the risk of corruption strengthens a company's reputation, builds the respect of employees and raises credibility with key stakeholders. Finally, you will learn how the adoption of collaboration tools can enhance the international project experience. The programme is designed to teach you how to successfully deliver projects in an international environment.

Students will get insight into IoT peripherals, IoT data analytics and an overall grasp of how to incorporate local machine learning (ML) using Python Programming.

How will I be taught and accessed?

  • Teaching is delivered through a mix of lectures and seminars, totalling around 10-13 hours per week
  • You're expected to engage in independent study, around 30-32 hours per week
  • Assessment is 100% coursework including critical report writing, practical exercises and research project work
  • Taught by experienced lecturers and academics who use their industry experience to demonstrate how theories translate into real-life situations
  • Technology-enhanced learning is embedded throughout the course to guide your preparation for seminars and independent research
  • Benefit from weekly academic support sessions designed to build your ability and confidence as an academic learner
  • You will be assigned a guidance tutor at induction who you will meet with regularly during your studies

Career and further study

This programme has been designed to ensure that graduates will be equipped with in-demand skills to work in a range of roles in the IT industry. Graduates can also progress to academic or research-orientated careers.

Upon successfully completing your course, you may undertake further professional development and training through Professional Pathways programmes. These are offered to our graduates for free, from our partner, QA.

This module provides an introduction to the basic aspects of writing computer programs in the C++ language. The module covers three areas: input/output through console and files, storage of data in computer memory through primitive variables, arrays, pointers and vectors and algorithm design strategies and implementation of algorithms.

This module covers the fundamentals of how to design the structure of data within a relational database, how to interact with data within the database, and how to protect the data within the database. Topics include: the relational model, top down modelling of business requirements, ER model, keys, relationships, traps, normalisation, SQL mapping schema to implementation via DDL, querying data using DML, integrity, transactions, access control and security.

This module aims to provide you with in-depth knowledge and a critical understanding of AI-based algorithms and solutions. You will learn programming with R or a similar language and learn how to conceptualise software requirements into software architectural patterns and develop software using AI.

You will gain an understanding of various artificial intelligence algorithms, including statistical learning and machine learning models for data analysis. There will be a variety of use cases for implementing algorithms, visual perception and techniques and methods for different scenarios.

In addition to technical skills (e.g. statistical programming), you will also develop non-technical skills, including data-driven decision-making, critical thinking and communication skills. You will develop hands-on experience with tools and techniques illustrating principles that can be used in a wide range of areas outside of artificial intelligence.

In this module, you will develop new knowledge and skills in Software Engineering, apply them, and critically analyse the implementation and recommend potential future improvements. Such knowledge and skills are particularly beneficial for a career in roles where you are required to architect, develop and deliver complex software systems from agreed specifications by employing industry-standard conventions and tools.

The module aims to provide you with a critical review of the theory and practice of machine learning on the cloud platform. You will critically analyse the capabilities of machine learning and apply its methods and techniques to discover patterns for trends analysis.

Python is a general-purpose, versatile, and powerful programming language. It's a great first language because it's concise and easy to read. Whatever you want to do, Python can do it. From web development to machine learning to data science, Python is the language for you.

How to find out more

Enquire now to find out more information about the course, studying with us, the application process, and to ask any other questions you may have.

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Course Information

  • Level of study:

    Post-graduate

  • 2021/22 Tuition fee:

    UK/Home Fee: £7,350

    International Fee: £16,000

  • Entry requirements:

    Minimum of GCSE or Equivalent.

  • Mode of study:

    Full-time classroom

  • Duration:

    1 year

  • Assessment methods:

    Coursework

  • Scholarship or bursaries:

    Available

  • Payment plan:

    Available

  • Starts:

    January, May, September

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