Computer Science and Artificial Intelligence MSc 12 months Postgraduate Programme By Teesside University |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

17,000 GBPTuition Fee/year

Starting Month

Jan, May, SepStarting Month

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Master's

Study Mode

On Campus

This course is ideal for those looking to take the next step in their academic and professional careers.

Artificial intelligence (AI) and advanced computing are rapidly transforming the global landscape, creating new opportunities for innovation across every industry. Gain the technical expertise and analytical mindset required to design, develop and implement intelligent systems that solve real-world challenges.

Designed with Future Facing Learning in mind, you master the principles of machine learning, big data, business intelligence and agile development. Explore the ethical and social implications of AI while acquiring a robust suite of practical and professional skills.

Gain the ability to:

  • apply advanced knowledge of AI foundations and computer science concepts
  • design and implement machine learning models to make predictions from complex data
  • utilise industry-standard tools for design and deployment of solutions
  • analyse and transform datasets to drive informed decisions
  • execute agile development methodologies to manage projects effectively
  • understand the professional, ethical and legal responsibilities, while providing the technical skills needed for immediate impact in your field.


Apply your learning to a real-world or research-led problem through a master’s project. This core component allows you to demonstrate expertise by tackling complex challenges in a focused academic or industrial context.

You also have the opportunity to gain Microsoft, Adobe and Amazon Web Services (AWS) certifications.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Master's

Study Mode

On Campus

This course is ideal for those looking to take the next step in their academic and professional careers.

Artificial intelligence (AI) and advanced computing are rapidly transforming the global landscape, creating new opportunities for innovation across every industry. Gain the technical expertise and analytical mindset required to design, develop and implement intelligent systems that solve real-world challenges.

Designed with Future Facing Learning in mind, you master the principles of machine learning, big data, business intelligence and agile development. Explore the ethical and social implications of AI while acquiring a robust suite of practical and professional skills.

Gain the ability to:

  • apply advanced knowledge of AI foundations and computer science concepts
  • design and implement machine learning models to make predictions from complex data
  • utilise industry-standard tools for design and deployment of solutions
  • analyse and transform datasets to drive informed decisions
  • execute agile development methodologies to manage projects effectively
  • understand the professional, ethical and legal responsibilities, while providing the technical skills needed for immediate impact in your field.


Apply your learning to a real-world or research-led problem through a master’s project. This core component allows you to demonstrate expertise by tackling complex challenges in a focused academic or industrial context.

You also have the opportunity to gain Microsoft, Adobe and Amazon Web Services (AWS) certifications.

Admission Requirements

6+
2.7+

1 Year
Jan
May

Tuition fees

Domestic
8,365 GBP
International
17,000 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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