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    Key Facts

    Program Level

    Master by Course Work

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    Main Site

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesSeptember-2024
    Apply to this program

    Go to the official application for the university

    Duration 2 year(s)
    Tuition Fee
    GBP 15,000  / year
    Next Intake September-2024

    Applied Artificial Intelligence

    About

    MSc Applied Artificial Intelligence

    See what it's like to study MSc Artificial Intelligence and if you're eligible for a £10k scholarship

    You gain technical and critical thinking skills in applying knowledge of AI to real-world problems, and learn fundamentals of software for digital innovation, applied machine learning, big data and business intelligence, deep learning and applications. You explore professional, ethical, security and social implications of future AI technologies, and gain a range of transferable skills to progress into industry.

    Progressing from almost any first degree discipline, you gain leading-edge skills, solid programming experience, research expertise and optional industry experience to enter this field and rapidly expanding job market. You work closely with our AI and Machine Learning research groups, and have the opportunity to undertake an internship. You can choose from three routes:

    • One year full-time – a great option to gain a traditional MSc qualification.
    • Two years full-time (including Advanced Practice) – enhances the qualification by adding a vocational or research-based internship to the one-year programme. This is a great way to gain work experience and give your CV a competitive edge. A research internship provides the opportunity to develop analytical, team-working, research and academic skills by working alongside a research team in an academic setting. We guarantee a research internship, but cannot guarantee a vocational internship. We provide practical support and advice on how to find and secure vocational internship positions.

    You may be eligible for a £10,000 scholarship from the Office for Students. Scholarships are specifically directed at students in one or more of the following groups: female, black, disabled, POLAR quintiles 1 and 2, refugees, children from military families, veterans and partners of military personnel. Scholarship applications for September 2022 entry now closed. More about this scholarship

    Artificial intelligence (AI) enables a digital computer or computer-controlled robot to learn, reason, discover meaning and perform tasks commonly associated with intelligent beings. AI applications include gaming, medical diagnosis, computer search engines, and voice or handwriting recognition.

    Core modules

    Artificial Intelligence Ethics and Applications

    You gain a deep insight into the business applications of artificial intelligence (AI) and data science (DA). You explore a range of AI and DS applications such as chatbots, virtual assistants, medical diagnosis, biometric recognition, personalisation, fraud detection and autonomous machines, and analyse both the risks and opportunities of applying AI and DS techniques in these areas.

    Artificial Intelligence Foundations

    You gain the foundational knowledge to study a wide range of AI applications and solutions, and are introduced to logic-based knowledge representation, reasoning, problem solving and algorithms, planning and AI applications.

    Big Data and Business Intelligence

    You develop your ability to design and implement database, big data and analytics applications to meet business needs. A case study is used to follow the system development lifecycle. You develop a plausible application from inception to implementation for a real-world scenario.

    You investigate the issues and technologies associated with implementing and supporting large scale databases and the services that are needed to maintain and access a repository of data. Investigations are undertaken in a number of areas including big data, data warehouses, integrating legacy data, data management and approaches that support the modelling and visualisation of data for a range of use views.

    Computing Masters Project

    You research and investigate a major, in-depth, topic drawn from commercial, industrial or research-based problem areas. The output from your project could be a major deliverable in the form of a software package, digital tool, design, or research findings. You also undertake critical evaluation of the deliverable, including obtaining third party evaluation where appropriate. Alternatively, you may undertake a research study and report findings in the style of a scholarly article.

    Deep Learning

    Deep learning is a subset of machine learning that uses artificial neural networks models with many layers to solve problems in computer vision, speech recognition, natural language process and language translation. The main advantage of deep learning is the ability to learn representations from raw data such as images or text without the need to hand engineer features that represent the input for the model and deliver very high accuracy. Deep learning is now the main technology behind many breakthroughs in object and voice recognition, Google Deep Mind AlphaGo, Siri (Apple), Alexa (Amazon) and Face recognition (Facebook). This module covers various deep learning methods and their practical applications.

    Machine Learning

    Machine learning is a subfield of computer science concerned with computational techniques rather than performing explicit programmed instructions. You build a model from a task based on observations in order to make predictions about unseen data. Such techniques are useful when the desired output is known but an algorithm is unknown, or when a system needs to adapt to unforeseen circumstances.

    You explore statistics and probability theory as the fundamental task is to make inferences from data samples. The contribution from other areas of computer science is also essential for efficient task representation, learning algorithms, and inferences procedures. You gain exposure to a breadth of tasks and techniques in machine learning.

    Assessment is an in course assessment (100%).

    Software for Digital Innovation

    You gain an introduction to the Python programming language and its application to solving problems in digital innovation. This involves the principles of programming, the syntax and structure of Python, its relevant libraries and modules, and how it is incorporated in existing software tools. You form a solid foundation of producing software solutions to real-world problems.

     

    Advanced practice (2 year full-time MSc only)

    Internship

    The internship options are:

    Vocational: spend one semester working full-time in industry or on placement in the University. We have close links with a range of national and international companies who could offer you the chance to develop your knowledge and professional skills in the workplace through an internship. Although we cannot guarantee internships, we will provide you with practical support and advice on how to find and secure your own internship position. A vocational internship is a great way to gain work experience and give your CV a competitive edge.

    Research: develop your research and academic skills by undertaking a research internship within the University. Experience working as part of a research team in an academic setting. Ideal for those who are interested in a career in research or academia.


     

    Modules offered may vary.

     

    You learn concepts and methods through lectures, labs and tutorials using case studies and examples. Lectures include presentations from industry guest speakers. Critical reflection is key to successful problem solving and essential to the creative process. You develop reflective practice at an advanced level, then test and assess solutions against criteria through research.

    Expect blended delivery of learning material, with a mix of face-to-face and online learning.

    How you are assessed

    You are assessed on your subject-specific knowledge, cognitive and intellectual skills and transferable skills applicable to the workplace. The assessments include assignments, tests, case studies, presentations, research proposal and literature review, and a dissertation. The assessments may include individual or group essays or reports. The assessment criteria, where appropriate, includes assessment of presentation skills and report writing.

    Disciplines

    Computing & Cyber Security

    Requirements

    Entry Requirements

    A bachelor degree with a minimum of 65%, 2.5/4.0 or good

    Career

    Examples of specific jobs held by AI professionals include:

    – software analysts and developers
    – computer scientists and computer engineers
    – algorithm specialists
    – research scientists and engineering consultants
    – mechanical engineers and maintenance technicians
    – manufacturing and electrical engineers
    – surgical technicians working with robotic tools
    – medical health professionals working with artificial limbs, prosthetics, hearing aids and vision restoration devices.

    Companies hiring AI professionals include Amazon, Google, Microsoft, Facebook, Huawei, Adobe, Oculus VR, GE and BAE Systems. According to itjobswatch.co.uk, the median salary in the UK for AI professionals is £65k but the top 10% can earn upwards of £100k.

    We prepare you for a career in industry. In addition to your taught classes, we create opportunities for you to meet and network with our industry partners through events such as our ExpoSeries, which showcases student work to industry. ExpoTees is the pinnacle of the ExpoSeries with over 100 businesses from across the UK coming to the campus to meet our exceptional students, with a view to recruitment.

    Students on the two-year full-time route complete a 60 credit Advanced Practice module.

    Fee Information

    Tuition Fee

    GBP 15,000  / year

    How to Apply

    Applying Online - Information Required to Complete Your Application

    Personal Details

    - Full Name, including title
    - Sex
    - Date of Birth
    - E-mail Address
    - Telephone Number
    - Home and Correspondence addresses, including postcode
    - Alternative email Addresses
    - Country of Permanent Residence or Local Authority
    - Country of Birth
    - Nationality
    - Ethnicity - this data will not be accessible to those making the application decision
    - Type of applicant - choose from UK/EU or Overseas
    - Who is entering the application - choose from Applicant, University Staff/Overseas Office or Other Third Party
    - Disability
    - Whether your parents/guardians have Higher Education qualifications
    - Details of any previous study or application to this University

    Payment of Fees

    - Who is paying your fees
    - Name and address of your Fee Payer
    - Details of any previous funding body and previous course

    Overseas Applicants Only

    - Date of entry to UK/EU
    - Passport Number (if you need a visa)
    - Previous UK study, including details of any previous visas, overstays in the UK and visa refusals

    University Staff and Office/Agent Applications Only

    - School/Office Code
    - Agent Code
    - Agent Name
    - Agent Company
    - Reference Number

    Qualifications

    Qualifications Held (maximum of 6)
    (For certain courses e.g. Summer University courses & other short courses, this information is not requested)

    - Year and month awarded
    - Qualification type, level and subject
    - Grade
    - Awarding Establishment e.g. College/University Name

    Qualifications Pending (maximum of 6)
    (For certain courses e.g. Summer University courses & other short courses, this information is not requested)

    - Year and month of exam
    - Qualification type, level and subject
    - Date grade expected
    - Awarding Establishment e.g. College/University Name

    Highest qualification

    Portfolio Details

    Foreign Language Courses Only

    - Qualifications and experience in chosen language
    - where more than one occurence of a courses runs in paralell, indicate which group you wish to join

    Professional Qualifications

    - Professional/Statutory Body and Registration PIN
    - Other course specific professional details as required

    School of Health & Social Care courses only

    - NHS PIN
    - NHS Trust / Practice details
    - National Insurance Number
    - Assignment/Employee Number
    - Line manager name and email address
    - Full or part time
    - Pay band
    - Profession, Staff Group and Job Role
    - Other course specific details as required

    Social Work Practice Education courses only

    - Social Work Registration Number

    Erasmus Applications

    Details of the Exchange Co-ordinator at Your Home Institution
    - Name
    - Position
    - Email Address

    Higher and Degree Apprenticeships

    - Unique Learner Number
    - National Insurance Number
    - *Employer Code
    - *Employer Postcode (This is your normal place of work which may be different from the company's main postcode)
    - *Number of employees at this postcode
    - Highest level qualifications in English language and mathematics

    *Your employer should be able to supply this information

    Last Two Education Establishments Attended
    (For certain courses e.g. Summer University courses & other short courses, this information is not requested)

    - Name and address
    - Dates from and to
    - Full or Part time
    - Level of study

    English Language Ability
    (For certain courses e.g. Summer University courses & other short courses, this information is not requested)

    Whether English is your first language

    If not

    - IELTS - score, date of exam and Test Report Form Number
    - Other test - name, score and date of exam

    Work Experience (maximum of 2)
    (For certain courses e.g. Summer University courses & other short courses, a reduced set of employment information is requested)

    - Employers name
    - Job title
    - Dates from and to
    - Full or Part time
    - Main responsibilities

    Summer & Winter University Courses Only

    - Whether you are enrolled or due to enrol on a college or university course
    - If so, where and which course
    - Whether you are thinking of starting a Higher Education course
    - If so, area of interest/study
    - Reason for applying to Summer/Winter University

    Referee
    (For certain courses e.g. Summer University courses & other short courses, this information is not requested)

    - Name
    - Address
    - Other contact details

    Note : some course will require two referees, e.g. PHD courses

    Personal Statement
    (For certain courses e.g. Summer University courses & other short courses, this information is not requested)

    Can be uploaded as a document or entered as text

    It is suggested that your statement is prepared electronically in advance of starting the application

    Enrolment

    Some short courses may ask you to provide enrolment information as part of the application. This will require extra details but also means you will not be asked to complete the full on-line registration process at a later date.

    This data will not be accessible to those making the application decision

    - Type of Term-time Accomodation
    - Next of Kin Name
    - Next of Kin Telephone Number
    - Next of Kin Relationship
    - Religious Beliefs
    - Criminal Conviction Declaration

    Documents currently available for upload
    (For certain courses e.g. Summer University courses & other short courses, this option is not available)

    - Reference
    - Personal Statement
    - CV
    - Results
    - Proof of English Language Qualifications, e.g. IELTS or TOEFL certificate
    - Passport
    - Previous Visas
    - Previous Visa Refusals

    For Research courses, the following additional uploads are mandatory

    - Research Proposal
    - Research Training Document
    - Research Personal Statement
    - Research Sponsorship/funding letter

    Teesside University

    Applied Artificial Intelligence

    Teesside University

    [object Object]

    United Kingdom,

    Middlesbrough

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