Artificial Intelligence and Machine Learning at University of Portsmouth - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Overview Deploy machine learning techniques and grapple with the ethics of artificial intelligence on this Master’s degree. You’ll learn about the capabilities of AI frameworks,the growth of technological innovations in the field, and their application to real-world problems in engineering, healthcare, agriculture and beyond. If you're interested in entering a new career in artificial intelligence and machine learning, you'll be able to build on your existing skills and studies through this conversion MSc course. It's designed to help you retrain, learn new skills or return to work after a career break. You can enter this course with basic or advanced computing skills, relevant industry experience, or a degree that shows your numerate background (such as Mathematics, Business Information Systems, Psychology or Applied Geography). Whatever your background, you can use this programme to convert your learning in computing, or in a relevant non-STEM subject, into an AI and machine learning qualification. You’ll develop your interest in interactions between humans and algorithms, using data and logic to predict behaviour, solve problems and contribute to further applications of artificial intelligence in the world. You’ll graduate with an understanding of how machine learning underpins modern life, its technical and ethical foundations, and practical experience in using relevant tools to apply AI methods in any industry you enter. The University of Portsmouth is ranked 5th of the modern universities for research quality in computer science and informatics - Research Excellence Framework (REF) 2021 Course highlights

  • Deepen your technical knowhow with consideration of the ethical and political issues around why AI is used, and its social outcomes
  • Analyse large data sets with machine learning, and discover how to formulate solutions to contemporary business that bring people and algorithms together
  • Use professional software (including Tableau, R, and Python), and complement your degree with access to Microsoft certification
  • Study with research-active academic tutors, and take up opportunities to assist in ongoing research
  • Undertake an artificial intelligence research project that works toward solving the current needs of society, or of our business partners, as part of your degree
  • Develop skills for careers across the modern business landscape, from cyber security and robotics to finance, politics and social media analysis
  • Tailor your study to reflect your interests and your level of programming expertise, based on your choice of option module and accessing extra-curricular opportunities.
Careers this Master’s prepares you for As a successful graduate of this course, you'll have developed practical skills in data analysis, programming and problem solving. You’ll have demonstrable experience with industry-standard software, and a network of industry connections made up of your graduating class and lecturers. If you choose to work with one of our business partners in your final project, you'll also have made professional contacts in the sector while making your analytical insights. You’ll also have an understanding of the opportunities that AI and machine learning methods offer to any modern career, and a grounding in research and innovation methods that help you seize – or create – new opportunities throughout your career.

Modules

Core modules

  • Ai Foundations in Practice (15 credits)
  • Big Data and Machine Learning Applications (30 credits)
  • Explainable Ai (15 credits)
  • Intelligent Data and Text Analytics (30 credits)
  • Masters Project (60 credits)
  • Programming for Data Analytics and Ai (15 credits)
Optional modules
  • Business Intelligence (15 credits)
  • Cyber Security for Information Systems (15 credits)
  • Data Visualisation and Exploratory Analytics (15 credits)
- Statistical Machine Learning (15 credits)


Entry requirements

A second-class honours degree in a relevant subject, or equivalent professional experience and/or qualifications.


English language requirements

TestGradeAdditional details
Cambridge English AdvancedCambridge English: Advanced (CAE) taken after January 2015. An overall score of 169 with no component score less than 162.
IELTS (Academic)6English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.
Cambridge English ProficiencyCambridge English: Proficiency (CPE) taken after January 2015. An overall score of 169 with no component score less than 162.
PTE Academic54An overall score of 54 with a minimum of 51 in each skill.
TOEFL (iBT)7979 with a minimum of 18 in Reading, 17 in Listening, 20 in Speaking and 17 in Writing.

Fees and funding

Tuition fees

EU £10400 Year 1
England £10400 Year 1
Northern Ireland £10400 Year 1
Scotland £10400 Year 1
Wales £10400 Year 1
Channel Islands £10400 Year 1
Republic of Ireland £10400 Year 1
International £19200 Year 1

Additional fee information

Students who are resident in EU countries: please note that the net fee is inclusive of the Transition Scholarship Fees are accurate at the time of publishing and are subject to change at any time without notice. Fees may also go up in later years, in line with inflation.
Artificial Intelligence and Machine Learning at University of Portsmouth - UCAS