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The MSc award consists of six compulsory taught modules (totaling 120 credits), in addition to a substantial piece of independent Masters Project (60 credits). As part of the programme, students will be required to use various programming languages, including Python and R. Data Science and Machine Learning This module provides an overview of Data Science process/pipeline. It provides systematic understanding of mathematical and statistical knowledge for explorable data analysis (EDA) and to understand the foundations of supervised and unsupervised machine learning algorithms, and with the practical programming skills to apply them to real world datasets. The module discusses the constraints that needs to be considered when designing, implementing, evaluating and visualising solutions to real-world complex problems. Cyber Security Cyber security, which has an impact on national security, infrastructure, and the global economy, is one of today's most pressing issues. Due to the enormous digital threat, cyber security knowledge is among the most in-demand globally. This course examines recent advancements in cyber security theory and practice. To enable critical cyber security decision-making, the students will develop the fundamental and advanced aspects of cyber security in terms of theory, practice, policy, and security standards. They will also learn about the threats to current and emerging systems and networks and how to effectively counter them in accordance with information security management standards. The students will learn about the social, legal, and ethical issues surrounding cyber security. Big data and Infrastructure Within this module a variety of database and data storage paradigms will be explored, ranging from more traditional relational systems to NoSql and object stores, time series databases, semantic store and graph stores. Consideration will be given to big data and the problem with storing and querying high volumes of highly variable data which is stored and processed at a high speed. The cloud computing paradigm will also be introduced and how to avail of its power and resources. The core concepts of distributed computing will be examined in the context of a data lake. Students will be taught, practically and theoretically, about the components of Data lakes, workflows, functional programming concepts, use of MapReduce, Spark, Pig, and Hive. IoT Networks and Protocols The Internet of Things (IoT) describes the interconnectivity of uniquely identifiable devices embedded in the environment through internet protocols and infrastructure. The module will evaluate and critically appraise IoT networking concepts, models, standards, protocols and practical skills. It will address Sustainability Development Goals, inform on the evolving IoT use cases, and appraise related issues such as the impact of IoT on a citizen’s privacy. Pervasive Computing The focus of this module is to provide an opportunity for students to gain an in-depth understanding of pervasive computing and to apply this understanding to a range of application domains through developing specific solutions for selected application case studies. The module surveys emerging hardware and software components associated with Pervasive Computing Systems, examining the technical and societal issues concerned with a pervasive infrastructure, wireless networks, protocols and emergent algorithms. In doing so a number of examples of innovative systems and applications are reviewed. The module includes a strong practical element where students will be asked to develop services providing support for wearable and smart home context-aware solutions. Embedded Systems and Sensors An embedded system is an electronic or computer system which performs dedicated control and data access functions in electronics-based systems and applications. Embedded systems play crucial role in modern communications, automotive systems, consumer electronics and medical devices and will provide the foundation for the next generation of inclusive and sustainable, smart and connected Internet-of-Things (IoT) solutions. This module covers the most important aspects of the embedded systems and will provide a successful student with theoretical and practical knowledge on the feasibility, reliability, and security of electronic systems, especially those important for existing and future IoT applications.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc award consists of six compulsory taught modules (totaling 120 credits), in addition to a substantial piece of independent Masters Project (60 credits). As part of the programme, students will be required to use various programming languages, including Python and R. Data Science and Machine Learning This module provides an overview of Data Science process/pipeline. It provides systematic understanding of mathematical and statistical knowledge for explorable data analysis (EDA) and to understand the foundations of supervised and unsupervised machine learning algorithms, and with the practical programming skills to apply them to real world datasets. The module discusses the constraints that needs to be considered when designing, implementing, evaluating and visualising solutions to real-world complex problems. Cyber Security Cyber security, which has an impact on national security, infrastructure, and the global economy, is one of today's most pressing issues. Due to the enormous digital threat, cyber security knowledge is among the most in-demand globally. This course examines recent advancements in cyber security theory and practice. To enable critical cyber security decision-making, the students will develop the fundamental and advanced aspects of cyber security in terms of theory, practice, policy, and security standards. They will also learn about the threats to current and emerging systems and networks and how to effectively counter them in accordance with information security management standards. The students will learn about the social, legal, and ethical issues surrounding cyber security. Big data and Infrastructure Within this module a variety of database and data storage paradigms will be explored, ranging from more traditional relational systems to NoSql and object stores, time series databases, semantic store and graph stores. Consideration will be given to big data and the problem with storing and querying high volumes of highly variable data which is stored and processed at a high speed. The cloud computing paradigm will also be introduced and how to avail of its power and resources. The core concepts of distributed computing will be examined in the context of a data lake. Students will be taught, practically and theoretically, about the components of Data lakes, workflows, functional programming concepts, use of MapReduce, Spark, Pig, and Hive. IoT Networks and Protocols The Internet of Things (IoT) describes the interconnectivity of uniquely identifiable devices embedded in the environment through internet protocols and infrastructure. The module will evaluate and critically appraise IoT networking concepts, models, standards, protocols and practical skills. It will address Sustainability Development Goals, inform on the evolving IoT use cases, and appraise related issues such as the impact of IoT on a citizen’s privacy. Pervasive Computing The focus of this module is to provide an opportunity for students to gain an in-depth understanding of pervasive computing and to apply this understanding to a range of application domains through developing specific solutions for selected application case studies. The module surveys emerging hardware and software components associated with Pervasive Computing Systems, examining the technical and societal issues concerned with a pervasive infrastructure, wireless networks, protocols and emergent algorithms. In doing so a number of examples of innovative systems and applications are reviewed. The module includes a strong practical element where students will be asked to develop services providing support for wearable and smart home context-aware solutions. Embedded Systems and Sensors An embedded system is an electronic or computer system which performs dedicated control and data access functions in electronics-based systems and applications. Embedded systems play crucial role in modern communications, automotive systems, consumer electronics and medical devices and will provide the foundation for the next generation of inclusive and sustainable, smart and connected Internet-of-Things (IoT) solutions. This module covers the most important aspects of the embedded systems and will provide a successful student with theoretical and practical knowledge on the feasibility, reliability, and security of electronic systems, especially those important for existing and future IoT applications.
Admission Requirements
We recognise a range of qualifications for admission to our courses. In addition to the specific entry conditions for this course you must also meet the University’s General Entrance Requirements. Entry Requirements Applicants must: (a) have gained (i) a second class honours degree or better, in the subject areas of Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics or closely related discipline, 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 excluding Conversion courses; and the qualification must be in the subject areas of Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics or closely related discipline. and (b) provide evidence of competence in written and spoken English (GCSE grade C or equivalent). For applicants whose first language is not English the minimum English language requirement is an Academic IELTS 6.0 with no band score less than 5.5, Trinity ISE: Pass at level III or equivalent English language tests comparable to IELTS equivalent score. 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 English language requirements for international applicants The minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5. Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes. Ulster recognises a number of other English language tests and comparable IELTS equivalent scores. English language requirements Your country Exemptions and transferability The entry requirements facilitate accreditation of prior learning.
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Internet of Things MSc
Belfast, Belfast, United Kingdom
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Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Admission Requirements
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:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
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Biomedical Engineering MEng (Hons)
Biomedical Engineering PgDip, MSc
Biomedical Engineering PgDip, MSc
Civil and Infrastructure Engineering - Degree Apprenticeship PgDip, MSc
Civil and Infrastructure Engineering - Degree Apprenticeship PgDip, MSc
Civil and Infrastructure Engineering PgDip, MSc
Civil and Infrastructure Engineering PgDip, MSc
Computer Science - Degree Apprenticeship MSc
Computer Science - Degree Apprenticeship MSc
Computer Science MSc
Computer Science MSc
Computing Science (Conversion) MSc
Computing Science (Conversion) MSc
Computing Science (Conversion) with Data Science MSc
Computing Science (Conversion) with Data Science MSc
Data Science MSc
Data Science MSc
Electronic Engineering MEng (Hons)
Electronic Engineering MEng (Hons)
Energy Storage Applied Research MSc
Energy Storage Applied Research MSc
Energy Storage MSc
Energy Storage MSc
Engineering Management MEng (Hons)
Engineering Management MEng (Hons)
Ethical and Responsible Artificial Intelligence MSc
Ethical and Responsible Artificial Intelligence MSc
Fire Safety Engineering PgDip, MSc
Fire Safety Engineering PgDip, MSc
Internet of Things MSc
Internet of Things MSc
Manufacturing Management PgDip, MSc
Manufacturing Management PgDip, MSc
Mechanical Engineering (Applied Research) MSc
Mechanical Engineering (Applied Research) MSc
Mechanical Engineering MEng (Hons)
Mechanical Engineering MEng (Hons)
Mechanical Engineering MSc
Mechanical Engineering MSc
Mechatronic Engineering MEng (Hons)
Mechatronic Engineering MEng (Hons)
Professional Software Development (Data Science) MSc
Professional Software Development (Data Science) MSc
Professional Software Development MSc
Professional Software Development MSc
Renewable Energy and Energy Management PgDip, MSc
Renewable Energy and Energy Management PgDip, MSc
Smart Manufacturing Systems MSc
Smart Manufacturing Systems MSc
Software Engineering MEng (Hons)
Software Engineering MEng (Hons)
Life Sciences and Medicine (6)
Advanced Pharmacy Practice MSc
Advanced Pharmacy Practice MSc
Advanced Practice MSc
Advanced Practice MSc
Applied Behaviour Analysis MSc
Applied Behaviour Analysis MSc
Applied Psychology (Mental Health and Psychological Therapies) MSc
Applied Psychology (Mental Health and Psychological Therapies) MSc
Biomedical Science MSc
Biomedical Science MSc
Biotechnology Research MSc
Biotechnology Research MSc
Dietetics MSc
Dietetics MSc
Health Psychology MSc
Health Psychology MSc
Health and Wellbeing PgDip, MSc
Health and Wellbeing PgDip, MSc
Human Nutrition MSc
Human Nutrition MSc
Leadership in Health and Social Care PgDip, MSc
Leadership in Health and Social Care PgDip, MSc
Optometry MOptom
Optometry MOptom
Personalised Medicine MSc
Personalised Medicine MSc
Pharmaceutical Bioscience MSci (Hons)
Pharmaceutical Bioscience MSci (Hons)
Pharmaceutical Sciences MSc
Pharmaceutical Sciences MSc
Pharmacy MPharm (Hons)
Pharmacy MPharm (Hons)
Psychology MSc
Psychology MSc
Veterinary Public Health (Food Regulatory Affairs) PgDip, MSc
Veterinary Public Health (Food Regulatory Affairs) PgDip, MSc
Natural Sciences (6)
Advanced Composites and Polymers PgDip, MSc
Advanced Composites and Polymers PgDip, MSc
Environmental Management PgDip, MSc
Environmental Management PgDip, MSc
Environmental Management with Geographic Information Systems PgDip, MSc
Environmental Management with Geographic Information Systems PgDip, MSc
Environmental Toxicology and Pollution Monitoring PgDip, MSc
Environmental Toxicology and Pollution Monitoring PgDip, MSc
Food and Nutrition MSc
Food and Nutrition MSc
Geographic Information Systems PgDip, MSc
Geographic Information Systems PgDip, MSc
Remote Sensing and Geographic Information Systems PgDip, MSc
Remote Sensing and Geographic Information Systems PgDip, MSc
Sustainable Management MSc
Sustainable Management MSc
Social Sciences and Management (6)
Access to Justice LLM
Access to Justice LLM
Communication and Public Relations PgDip, MSc
Communication and Public Relations PgDip, MSc
Community Youth Work PgDip, MSc
Community Youth Work PgDip, MSc
Criminology and Criminal Justice MSc
Criminology and Criminal Justice MSc
Education with Specialisms MEd
Education with Specialisms MEd
Film and TV Production MA
Film and TV Production MA
Gender and Human Rights LLM
Gender and Human Rights LLM
Global Sustainable Tourism MSc
Global Sustainable Tourism MSc
Golf Management MSc
Golf Management MSc
Human Resource Management MSc
Human Resource Management MSc
Human Rights LLM
Human Rights LLM
Human Rights Law and Transitional Justice LLM
Human Rights Law and Transitional Justice LLM
International Commercial Law and ADR LLM
International Commercial Law and ADR LLM
International Tourism and Hospitality Management MSc
International Tourism and Hospitality Management MSc
Journalism MA
Journalism MA
Law LLM
Law LLM
Legal Innovation and Technology Law LLM, MSc
Legal Innovation and Technology Law LLM, MSc
Library and Information Management PgDip, MSc
Library and Information Management PgDip, MSc
Peace and Conflict Studies MSc
Peace and Conflict Studies MSc
Photography (MFA) MFA
Photography (MFA) MFA
Photography (MFA) eLearning MFA
Photography (MFA) eLearning MFA
Public Administration MPA
Public Administration MPA
Real Estate MSc
Real Estate MSc
Social Policy MSc
Social Policy MSc
Sport and Exercise Medicine PgDip, MSc
Sport and Exercise Medicine PgDip, MSc
Sport and Exercise Nutrition PgDip, MSc
Sport and Exercise Nutrition PgDip, MSc
Sport and Exercise Psychology MSc
Sport and Exercise Psychology MSc
Sports Coaching and Performance MSc
Sports Coaching and Performance MSc
Strength and Conditioning MSc
Strength and Conditioning MSc
Executive MBA (2)
Executive MBA (Master of Business Administration) MBA
Executive MBA (Master of Business Administration) MBA
Full-Time MBA (2)
MBA (Master of Business Administration) MBA
MBA (Master of Business Administration) MBA