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Ulster University: Artificial Intelligence (with or without Applied Research)
| Institution | Ulster University |
|---|---|
| Department | School of Computing |
| Web | http://www.ulster.ac.uk |
| admissions@ulster.ac.uk | |
| Telephone | 02895367890 |
| Study type | Taught |
Master of Science - MSc (PG)
Summary
This is a specialist programme with the core aim to prepare students with skills in AI that are in high demand nationally and internationally. AI has applications in almost every industry sector including health, financial technology, advanced manufacturing, media, energy, civic society and public policy.
The course provides knowledge and skills in deep learning, data mining, machine learning, big data, automatic computing, robotics, knowledge engineering and data analytics in the context of AI with the use of the state-of-the-art tools.
Course content is informed by our internationally leading research and industry partnerships including our jointly established £28.6 million BT Ireland Innovation Centre. You will benefit from a multi-million pound infrastructure of a wide-reaching and mobile computing environment.
Graduates can progress into a wide variety of careers, across industrial settings and application domains or embark upon PhD research studies.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants must: (a) have gained (i) a second class lower division honours degree or better, in the subject areas of computing, engineering or cognate area from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or (ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification; and the qualification must be in the subject areas of computing, engineering or related discipline and (b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent). In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme. English Language Requirements Ulster recognises a number of other English language tests and comparable IELTS equivalent scores. |
| Location | Belfast York Street Belfast BT15 1ED |
Summary
This is a specialist programme with the core aim to prepare students with skills in AI that are in high demand nationally and internationally. AI has applications in almost every industry sector including health, financial technology, advanced manufacturing, media, energy, civic society and public policy.
The course provides knowledge and skills in deep learning, data mining, machine learning, big data, automatic computing, robotics, knowledge engineering and data analytics in the context of AI with the use of the state-of-the-art tools.
Course content is informed by our internationally leading research and industry partnerships including our jointly established £28.6 million BT Ireland Innovation Centre. You will benefit from a multi-million pound infrastructure of a wide-reaching and mobile computing environment.
Graduates can progress into a wide variety of careers, across industrial settings and application domains or embark upon PhD research studies.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants must: (a) have gained (i) a second class lower division honours degree or better, in the subject areas of computing, engineering or cognate area from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or (ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification; and the qualification must be in the subject areas of computing, engineering or related discipline and (b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent). In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme. English Language Requirements Ulster recognises a number of other English language tests and comparable IELTS equivalent scores. |
| Location | Belfast York Street Belfast BT15 1ED |
Summary
This is a specialist programme with the core aim to prepare students with skills in AI that are in high demand nationally and internationally. AI has applications in almost every industry sector including health, financial technology, advanced manufacturing, media, energy, civic society and public policy.
The course provides knowledge and skills in deep learning, data mining, machine learning, big data, automatic computing, robotics, knowledge engineering and data analytics in the context of AI with the use of the state-of-the-art tools.
Course content is informed by our internationally leading research and industry partnerships including our jointly established £28.6 million BT Ireland Innovation Centre. You will benefit from a multi-million pound infrastructure of a wide-reaching and mobile computing environment.
Graduates can progress into a wide variety of careers, across industrial settings and application domains or embark upon PhD research studies.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants must: (a) have gained (i) a second class lower division honours degree or better, in the subject areas of computing, engineering or cognate area from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or (ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification; and the qualification must be in the subject areas of computing, engineering or related discipline and (b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent). In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme. English Language Requirements Ulster recognises a number of other English language tests and comparable IELTS equivalent scores. |
| Location | Belfast York Street Belfast BT15 1ED |
Summary
This is a specialist programme with the core aim to prepare students with skills in AI that are in high demand nationally and internationally. AI has applications in almost every industry sector including health, financial technology, advanced manufacturing, media, energy, civic society and public policy.
The course provides knowledge and skills in deep learning, data mining, machine learning, big data, automatic computing, robotics, knowledge engineering and data analytics in the context of AI with the use of the state-of-the-art tools.
Course content is informed by our internationally leading research and industry partnerships including our jointly established £28.6 million BT Ireland Innovation Centre. You will benefit from a multi-million pound infrastructure of a wide-reaching and mobile computing environment.
Graduates can progress into a wide variety of careers, across industrial settings and application domains or embark upon PhD research studies.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants must: (a) have gained (i) a second class lower division honours degree or better, in the subject areas of computing, engineering or cognate area from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or (ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification; and the qualification must be in the subject areas of computing, engineering or related discipline and (b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent). In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme. English Language Requirements Ulster recognises a number of other English language tests and comparable IELTS equivalent scores. |
| Location | Belfast York Street Belfast BT15 1ED |
Summary
The new MSc Artificial Intelligence is an intensive one-year specialist programme that has the core aim of preparing students with skills in AI that are in high demand nationally and internationally. The course will enable you to embark on, or further enhance your professional career in the area of AI by providing you with knowledge and skills in areas of Deep learning, Data Mining, Machine Learning, Big Data, Automatic Computing, Robotics, Knowledge Engineering and Data Analytics in the context of AI as well as the experience using the state-of-the-art tools.
The delivery of the course is supported by multi-million pound infrastructure of a large-scale pervasive and mobile computing environment, a suite of contemporary sensing technologies and rapid prototyping facilities. The course content has been informed by internationally leading research being conducted in the School and by our strong industry partnerships, most notably with BT through the jointly established £28.6 million BT Ireland Innovation Centre.
This course has been developed in response to evidence of demand from industry and business for up-skilling of staff in the area of AI and addresses a clear gap in the marketplace for postgraduate study. The new MSc in Artificial Intelligence will strive to address the growing demands in the sector by training computing professionals to follow a career in the AI industry. The course also provides a platform to embark on further research studies.
IMPORTANT: A number of courses will be transitioning to the Belfast Campus. The new campus is on schedule to open its doors and welcome students from September 2021. With the impact of COVID-19 prevailing into 2021, the University is working closely with contractors to mitigate any impact of the pandemic on the opening date.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants must: (a) have gained (i) a second class lower division honours degree or better, in the subject areas of computing, engineering or cognate area from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or (ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification; and the qualification must be in the subject areas of computing, engineering or related discipline and (b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent). In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme. English Language Requirements Ulster recognises a number of other English language tests and comparable IELTS equivalent scores. |
| Location | Belfast York Street Belfast BT15 1ED |
Summary
The new MSc Artificial Intelligence is an intensive one-year specialist programme that has the core aim of preparing students with skills in AI that are in high demand nationally and internationally. The course will enable you to embark on, or further enhance your professional career in the area of AI by providing you with knowledge and skills in areas of Deep learning, Data Mining, Machine Learning, Big Data, Automatic Computing, Robotics, Knowledge Engineering and Data Analytics in the context of AI as well as the experience using the state-of-the-art tools.
The delivery of the course is supported by multi-million pound infrastructure of a large-scale pervasive and mobile computing environment, a suite of contemporary sensing technologies and rapid prototyping facilities. The course content has been informed by internationally leading research being conducted in the School and by our strong industry partnerships, most notably with BT through the jointly established £28.6 million BT Ireland Innovation Centre.
This course has been developed in response to evidence of demand from industry and business for up-skilling of staff in the area of AI and addresses a clear gap in the marketplace for postgraduate study. The new MSc in Artificial Intelligence will strive to address the growing demands in the sector by training computing professionals to follow a career in the AI industry. The course also provides a platform to embark on further research studies.
IMPORTANT: A number of courses will be transitioning to the Belfast Campus. The new campus is on schedule to open its doors and welcome students from September 2021. With the impact of COVID-19 prevailing into 2021, the University is working closely with contractors to mitigate any impact of the pandemic on the opening date.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Applicants must: (a) have gained (i) a second class lower division honours degree or better, in the subject areas of computing, engineering or cognate area from a university of the United Kingdom or the Republic of Ireland, or from a recognised national awarding body, or from an institution of another country which has been recognised as being of an equivalent standard; or (ii) an equivalent standard (normally 50%) in a Graduate Diploma, Graduate Certificate, Postgraduate Certificate or Postgraduate Diploma or an approved alternative qualification; and the qualification must be in the subject areas of computing, engineering or related discipline and (b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent). In exceptional circumstances, as an alternative to (a) (i) or (a) (ii) and/or (b), where an individual has substantial and significant experiential learning, a portfolio of written evidence demonstrating the meeting of graduate qualities (including subject-specific outcomes, as determined by the Course Committee) may be considered as an alternative entrance route. Evidence used to demonstrate graduate qualities may not be used for exemption against modules within the programme. English Language Requirements Ulster recognises a number of other English language tests and comparable IELTS equivalent scores. |
| Location | Belfast York Street Belfast BT15 1ED |
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