Computer Science and Artificial Intelligence (Online)

Program Overview

Computer Science and Artificial Intelligence (Online) PgDip

Overview

This conversion postgraduate diploma 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.
  • By learning agile principles and applying a specific agile approach (eg SCRUM) in a live simulation of the methodology, the module will help you to prepare for contemporary practice in industry, developing both knowledge and skills in the application of agile principles.
• 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.
  • 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.
• 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.
• 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 degree (2.2 minimum) or equivalent overseas qualification.
• In addition, international students will require IELTS 6.0 or equivalent.

Employability

Career Opportunities

• There are increasing career opportunities for data science specialists in sectors such as the defence industry, financial industry, telecommunications and health sector.

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.

Fees

Full-time

• Fee for all applicants: £7,200
• £1,200 for each 20 credits
• Length: 1 year (January start, including summer break), 9 months (September start)
• Attendance: 100% online
• Start date: January or September

Part-time

• Fee for all applicants: £930 for each 20 credits
• £5,580 in total
• Length: 2 years
• Attendance: 100% online
• Start date: January or September

Choose Teesside

• Teesside University ranked in the top 50 for online learning in the Uswitch Online Learning Index 2022.
• Teesside University was named University of the Year at the Edufuturists Awards 2022.
• Ranked in the top 350 list of global universities aged 50 years or under.
• Over 1,000 students enrolled on our open learning courses
• High-quality, stand-alone, open learning education for over 30 years