Internet of Things PgCert

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The MSc Internet of Things program at Ulster University equips students with advanced knowledge and skills in IoT, preparing them for specialized careers in smart cities, industrial IoT, connected health, and smart homes. The program features a combination of lectures, tutorials, seminars, and practical sessions, and is supported by multi-million pound infrastructure and industry partnerships. Graduates are well-prepared for careers as IoT engineers, data scientists, security analysts, software developers, and researchers.

مخطط البرنامج

Degree Overview:

MSc Internet of Things

#Program Objectives:

• Equip students with advanced knowledge and skills in the field of Internet of Things (IoT).
• Prepare graduates for specialized careers in various industry sectors, including:
• Smart Cities
• Industrial IoT
• Connected Health
• Smart Homes
• Provide a foundation for further research studies in related fields.
• #Program Description:
• One-year intensive program comprised of 180 credits.
• Delivered through a combination of lectures, directed tutorials, seminars, and practical sessions.
• Content includes:
• Sensor technology
• Networks
• Security
• Pervasive Computing
• Big Data
• Data Mining in IoT domain
• #Program Features:
• Accredited (initial) by BCS, The Chartered Institute for IT, for Partial CITP (Chartered IT Professional) and Partial CEng (Chartered Engineer).
• Supported by multi-million pound infrastructure, including:
• Large-scale pervasive and mobile computing environment
• Suite of contemporary sensing technologies
• Rapid prototyping facilities
• Informed by internationally leading research conducted by the School of Computing and the School of Engineering.
• Strong industry partnerships, including with BT through the jointly established £28.6 million BT Ireland Innovation Centre.

Outline:

Program Content:

• The program covers the following areas:
• Sensor technology
• Networks
• Security
• Pervasive Computing
• Big Data
• Data Mining in IoT domain

Program Structure:

• The program is comprised of 180 credits, with modules organized semester-wise.
• Each semester typically involves 5-10 timetabled hours per week, including:
• Lectures
• Tutorials
• Practicals in computer labs
• Modules are designed to provide both theoretical and practical knowledge.

Course Schedule:

• The course schedule is typically released close to the start date and may be subject to minor modifications.
• The program can be completed on a full-time or part-time basis.

Individual Modules:

#1.

Data Science and Machine Learning

• Provides an overview of the Data Science process/pipeline.
• Focuses on:
• Mathematical and statistical knowledge for Exploratory Data Analysis (EDA)
• Foundations of supervised and unsupervised machine learning algorithms
• Practical programming skills for applying algorithms to real-world datasets
• Discusses constraints related to:
• Designing
• Implementing
• Evaluating
• Visualizing solutions for complex real-world problems
• #2.
• IoT Networks and Protocols
• Explores the interconnectivity of uniquely identifiable devices in the environment using internet protocols and infrastructure.
• Provides an in-depth analysis of:
• IoT networking concepts
• Models
• Standards
• Protocols
• Addresses Sustainability Development Goals and informs on evolving IoT use cases.
• Examines related issues, including the impact of IoT on citizens' privacy.
• #3.
• Pervasive Computing
• Focuses on providing students with an in-depth understanding of pervasive computing.
• Applies this understanding to develop solutions for specific application case studies across various application domains.
• Surveys emerging hardware and software components associated with Pervasive Computing Systems.
• Examines technical and societal issues related to:
• A pervasive infrastructure
• Wireless networks
• Protocols
• Emergent algorithms
• Reviews various innovative systems and applications.
• Includes a strong practical element, where students develop services supporting wearable and smart home context-aware solutions.

Assessment:

Assessment Methods:

• 100% coursework based assessment.
• May include:
• Assignments
• Projects
• Presentations
• Practical assessments

Assessment Criteria:

• Each module has specific learning outcomes, which are assessed through the chosen assessment methods.
• Assessment criteria are designed to measure students' achievement of the learning outcomes.

Teaching:

Teaching Methods:

• Lectures
• Directed tutorials
• Seminars
• Practical sessions

Faculty:

• The program is taught by academic staff with qualifications in higher education.
• The majority of staff holds postgraduate certificates in Higher Education Practice.
• Many are accredited fellows of the Higher Education Academy (HEA).
• Staff includes:
• Professors
• Readers
• Senior Lecturers
• Lecturers
• Some modules may involve:
• Visiting lecturers
• PhD researchers

Unique Approaches:

• The program utilizes multi-million pound infrastructure for practical training.
• Draws upon research expertise of the School of Computing and the School of Engineering.
• Industry partnerships provide practical insights and career opportunities.

Careers:

Career Options:

• Graduates are prepared for careers in various industry sectors related to IoT, including:
• Smart Cities
• Industrial IoT
• Connected Health
• Smart Homes
• Potential roles include:
• IoT Engineer
• Data Scientist
• Security Analyst
• Software Developer
• Researcher

Career Opportunities:

• The program, along with relevant experience, can open doors to diverse opportunities in the rapidly growing field of IoT.

Other:

Attendance:

Start Date:

• September 2024

Program Duration:

• MSc program takes one year to complete (full-time).
• Part-time option also available.

The price of your overall programme will be determined by the number of credit points that you initiate in the relevant academic year. For modules commenced in the academic year 2024/25, the following fees apply: Fees Credit Points NI/ROI/GB Cost International Cost Credit Points 5 NI/ROI/GB Cost £194.45 International Cost £474.70 Credit Points 10 NI/ROI/GB Cost £388.90 International Cost £949.40 Credit Points 15 NI/ROI/GB Cost £583.35 International Cost £1,424.10 Credit Points 20 NI/ROI/GB Cost £777.80 International Cost £1,898.80 Credit Points 30 NI/ROI/GB Cost £1,166.70 International Cost £2,848.20 Credit Points 60 NI/ROI/GB Cost £2,333.40 International Cost £5,696.40 Credit Points 120 NI/ROI/GB Cost £4,666.80 International Cost £11,392.80 Credit Points 180 NI/ROI/GB Cost £7000.20 International Cost £17,089.20 NB: A standard full-time PGCert is equivalent to 60 credit points per year. A standard full-time PGDip is equivalent to 120 credit points per year. More information can be found in the Visas and Immigration section.