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.
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)
- Business Intelligence (15 credits)
- Cyber Security for Information Systems (15 credits)
- Data Visualisation and Exploratory Analytics (15 credits)
Entry requirements
A second-class honours degree in a relevant subject, or equivalent professional experience and/or qualifications.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5. |
| Cambridge English Advanced | Cambridge English: Advanced (CAE) (taken after January 2015). An overall score of 169 with no component score less than 162. | |
| Cambridge English Proficiency | Cambridge English: Proficiency (CPE) (taken after January 2015). An overall score of 169 with no component score less than 162. | |
| PTE Academic | 62 | An overall score of 62 with a minimum of 59 in each skill. |
| TOEFL (iBT) | 79 | 79 with a minimum of 18 in Reading, 17 in Listening, 20 in Speaking and 17 in Writing. |
| Trinity ISE | Pass | Trinity College Integrated Skills in English (ISE) Level III with a Pass in all 4 components. |
Fees and funding
Tuition fees
| EU | £10900 | Year 1 |
| England | £10900 | Year 1 |
| Northern Ireland | £10900 | Year 1 |
| Scotland | £10900 | Year 1 |
| Wales | £10900 | Year 1 |
| Channel Islands | £10900 | Year 1 |
| Republic of Ireland | £10900 | Year 1 |
| International | £19200 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
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.
Provider information
University of Portsmouth
University House
Winston Churchill Avenue
Portsmouth
PO1 2UP