Ulster University - MSc Internet of Things

Ulster University

MSc Internet of Things

The MSc Internet of Things is a one-year specialist programme that prepares students for an industrial career in computing science, engineering, and data analytics. The course covers Sensor Technology, Networks, Security, Pervasive Computing, Big Data, and Data Mining in the IoT domain. The course is supported by a multi-million-pound infrastructure, contemporary sensing technologies, and rapid prototyping facilities. The course is informed by international research conducted by the School of Computing and the School of Engineering, and by strong industry partnerships, such as the BT Ireland Innovation Centre. The skills trained are in high demand in key sectors like Smart Cities, Industrial IoT, Connected Health, and Smart Homes. The course is accredited by BCS, The Chartered Institute for IT, for Partial CITP (Chartered IT Professional) and Partial CEng (Chartered Engineer). The School of Computing at Ulster University holds the Athena Swan Bronze Award since 2016 and is committed to promoting gender equality in Higher Education.

Entry Requirements

Applicants must:

(a) have gained

(i) a second-class honors degree or better, in the subject areas of Computer Science, Software Engineering, Electronic Engineering, Electrical Engineering, Mathematics, Physics or a closely related discipline, from a university of the United Kingdom or the Republic of Ireland, or from a recognized national awarding body, or from an institution of another country which has been recognized 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 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 programe.

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.

Career Prospects

The Internet of Things has become one of the most discussed technology trends of recent years, mainly due to the expected impact that it will have and, as a result, how it will change the way people live, work, and travel. As the expectations of how IoT will redefine an organization’s operations grow, so too are the expectations to have knowledgeable and skilled staff in the areas of computing, engineering, and data science in addition to having an appreciation for business processes and market potential. Taking all of this into consideration, graduates from the course will be well placed to progress into a wide variety of careers, across a range of industrial settings within the sector across the key verticals of Smart Cities, Industrial IoT, Connected Health, and Smart Homes. We have active Industry engagement and links with vibrant technology sector in Northern Ireland. Graduates from the course also have the opportunity to embark on further research at the Ph.D. level.

Course Details

The MSc award comprises six compulsory taught modules, totaling 120 credits, and a substantial independent Masters Project (60 credits). The first module covers Data Science and Machine Learning, providing an overview of the Data Science process and understanding of mathematical and statistical knowledge for explorable data analysis. The second module explores cyber security, focusing on recent advancements in theory, practice, policy, and security standards. The third module explores big data and infrastructure, exploring various database and data storage paradigms, including traditional relational systems, NoSql, object stores, time series databases, semantic stores, and graph stores. The fourth module evaluates and critically appraises IoT networking concepts, models, standards, protocols, and practical skills. The fifth module focuses on pervasive computing, focusing on developing specific solutions for selected application case studies. The final module covers embedded systems and sensors, covering the feasibility, reliability, and security of electronic systems, especially for existing and future IoT applications. The course is typically 15 hours per week, including lectures, tutorials, and practicals in computer labs.

Modules

Data Science and Machine Learning
Cyber Security
Big Data and Infrastructure
IoT Networks and Protocols
Pervasive Computing
Embedded Systems and Sensors

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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