Program Overview

Computer Science and Artificial Intelligence (Online) MSc

Overview

This conversion master’s course allows you to enter the field of computer science, with insights into programming and applications to meet business needs.

Course Details

Core Modules

• Agile Development
  • You gain experience of application development utilising an agile development approach.
  • You also take responsibility for determining project aims, objectives, roles, tasks, deliverables, schedules and documentation.
• 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.
• 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.
• Computing Masters Project
  • You 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.
  • The project involves you in researching and investigating aspects of your area of study and then producing a major deliverable, for example software package or tool, design, web-site and research findings.
  • You also critically evaluate your major deliverable, including obtaining third party evaluation where appropriate.
• 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.
• 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.
• User Experience Modelling
  • You gain the underpinning knowledge and skills you need for user experience modelling and design.
  • Study the theoretical foundations of human-computer interaction (HCI), interaction design, product design, and participatory design and development.
  • Apply user experience modelling approaches to the design of software applications and services.

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.
• You 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, which supports your formal 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 addition, international students will require IELTS 6.0 or equivalent.

Employability

Career Opportunities

• A master's degree in computer science offers career opportunities in software development, data science, cybersecurity, artificial intelligence, and IT management.
• Graduates can work in tech companies, financial institutions, healthcare, government agencies, and start-ups, focusing on software engineering, system architecture, data analysis, and network security.
• The demand for advanced computing skills ensures strong job prospects and potential for career growth in a variety of innovative and high-impact fields.

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.
• Here are some of the benefits:
  • 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

Fee for All Applicants

• £10,800
• £1,200 for each 20 credits

Length and Attendance

• 16 months (January start, including summer break), 1 year (September start)
• 100% online

Start Date and Semester Dates

• January or September

Part-time

Fee for All Applicants

• £930 for each 20 credits
• £8,370 in total

Length and Attendance

• 2 years
• 100% online

Start Date and Semester Dates

• January or September