GBP 12,150 / Per course
Applied Artificial Intelligence (Online)
Teesside UniversityMiddlesbrough, United Kingdom
Sep 1, 2027
Fully Online
1 years
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Program Details
- Degree
- Masters
- Major
- Artificial Intelligence | Data Science
- Area of study
- Information and Communication Technologies
- Timing
- Full time
- Course Language
- English
Intakes
Program Overview
Applied Artificial Intelligence (Online) MSc
Overview
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.
Course Details
Core Modules
- Artificial Intelligence Ethics and Applications
- Gain a deep insight into the business applications of artificial intelligence (AI) and data science (DA).
- Explore a range of AI and DS applications such as chatbots, virtual assistants, medical diagnosis, biometric recognition, personalisation, fraud detection and autonomous machines.
- Artificial Intelligence Foundations
- Gain the foundational knowledge to study a wide range of AI applications and solutions.
- Introduced to logic-based knowledge representation, reasoning, problem solving and algorithms, planning and AI applications.
- Big Data and Business Intelligence
- Develop your ability to design and implement database, big data and analytics applications to meet business needs.
- 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.
- Computing Masters Project
- Undertake a major, in-depth, individual study in an aspect of your course.
- Normally computing master’s projects are drawn from commercial, industrial or research-based problem areas.
- 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.
- Machine Learning
- Machine learning is a subfield of computer science concerned with computational techniques rather than performing explicit programmed instructions.
- Build a model from a task based on observations in order to make predictions about unseen data.
- Software for Digital Innovation
- Gain an introduction to the Python programming language and its application to solving problems in digital innovation.
How You Learn
- Your learning is supported through our online learning environment, where our experienced staff can provide advice and guidance.
- Opportunities to network with staff and other students enable you to work collaboratively, developing your technical skills and knowledge in a professional and supportive space.
- Learn through keynote lectures and tutorials using case studies and examples.
- Critical reflection is key to successful problem solving and essential to the creative process.
How You Are Assessed
- You are assessed informally throughout the programme to help you prepare for your formal course assessments.
- You are assessed on your subject specific knowledge, cognitive and intellectual skills and transferable skills applicable to the workplace.
Entry Requirements
- A UK bachelor’s honours degree (2.2 minimum) or equivalent overseas qualification in any subject.
- International students will also require IELTS 6.0 or equivalent.
Employability
Career Opportunities
- 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.
Learning Platform
Our Virtual Learning Environment (VLE) is the Platform You Use to Access Your Online Course
- Teesside University online learning courses are delivered through the Brightspace Learning Environment.
- You can use it on your smartphone, tablet and computer.
- And you can use it anytime, so that you can plan your learning to fit your own schedule.
- It's easy to use and navigate.
- Modules are set out by topics and themes.
- You can use the progress bar to understand where you are in your modules, and appreciate your achievements.
- We support you to become familiar with your VLE, helping you to start learning quickly.
- You get feedback, help and guidance from tutors throughout your course through the VLE, and you can ask questions at any time.
- Our tutors use a live activity feed to keep you updated about your course.
- You can create a student profile, collaborate with other students and take part in online discussion forums.
Full-time
- Entry Fee for All Applicants: £12,150
- Length: 1 year
- Attendance: 100% online
- Start Date: September
- Semester Dates: [Insert semester dates]
Part-time
- Entry Fee for All Applicants: £930 for each 20 credits
- Total Fee: £8,370
- Length: 2 years
- Attendance: 100% online
- Start Date: September
- Semester Dates: [Insert semester dates]
About University
Teesside University
Overview:
Teesside University is a public university located in Middlesbrough, Tees Valley, England. It is known for its strong focus on student experience, research, and business partnerships. The university has invested heavily in its campus, offering modern facilities and a vibrant learning environment.
Services Offered:
Teesside University provides a wide range of services to its students, including:
Undergraduate and postgraduate study:
Offering a diverse selection of programs across various disciplines.Short courses and CPD:
Providing opportunities for professional development and upskilling.Online learning:
Delivering flexible and accessible learning options.International student support:
Providing dedicated services for international students.Career services:
Offering guidance and support for career planning and job searching.Student support services:
Providing academic, personal, and financial support to students.Library and IT facilities:
Offering access to extensive resources and technology.Accommodation services:
Providing on-campus and off-campus accommodation options.Sports and recreational facilities:
Offering a variety of sports and leisure activities.Student Life and Campus Experience:
Teesside University prides itself on its close-knit and supportive community. Students can expect a vibrant campus life with:
Social events and activities:
Offering opportunities to connect with fellow students and engage in extracurricular activities.Student societies and clubs:
Providing platforms for students to pursue their interests and develop their skills.Campus facilities:
Including a modern library, sports facilities, and a variety of dining options.A welcoming and inclusive environment:
Fostering a sense of belonging and diversity.Key Reasons to Study There:
Affordable excellence:
Offering a high-quality education at a competitive price.Gold rating in the Teaching Excellence Framework (TEF):
Recognized for its outstanding teaching and student experience.World-leading research:
Conducting impactful research across various fields.Strong industry partnerships:
Providing opportunities for students to gain practical experience and develop valuable connections.Vibrant and supportive community:
Offering a welcoming and inclusive environment for students to thrive.Academic Programs:
Teesside University offers a wide range of academic programs across six schools: