MSc/PgDip Internet of Things with Data Science
| Program start date | Application deadline |
| 2025-01-01 | - |
| 2025-09-01 | - |
Program Overview
Internet of Things with Data Science
Overview
The Internet of Things with Data Science postgraduate degree is designed to enhance your existing computer science knowledge or gain new skills to secure a role in the fastest-growing employment field in the digital economy. This course provides specialist IoT and data science knowledge to apply in various sectors, including healthcare, commerce, professional services, and the built environment.
Course Details
Attendance
- Full-time
- Part-time
Course Duration
- One year (full-time)
- Two and a half years (part-time)
Next Enrolment
- September 2025
Introduction
Make discoveries in data and explore the value Internet of Things (IoT) can bring to businesses and organisations. With our Internet of Things with Data Science postgraduate degree, you can enhance your existing computer science knowledge, or gain new skills that can help you secure a role in a fastest-growing employment field in the digital economy.
Course Accreditations
- Accredited by BCS, The Chartered Institute for IT
Course Team
- Course leader: Professor Mo Saraee
Modules
Machine Learning and Data Mining
- Explore the full data mining lifecycle, from data pre-processing and exploratory data analysis to the application and evaluation of supervised and unsupervised machine learning algorithms.
Principles and Design of IoT Systems
- Develop an advanced understanding, and context of IoT, the skills, challenges, System Design and methodologies the term implies.
Security and Privacy in IoT
- Learn about security vulnerabilities and challenges, including attack surfaces (networking, social engineering) and modern issues (IoT, Cloud).
MSc Project
- Carry out high-level coordinated academic and practical work on researching a suitable problem and developing, evaluating and critically assessing a robust, scalable and usable solution.
Optional Modules
- Advanced Databases
- Big Data Tools and Techniques (AI)
Teaching and Assessment
Teaching
- Learning is delivered using a range of methods, including lectures, seminars, laboratory practicals, and project work.
Assessment
- Course projects and assignments apply your learning in authentic problem-solving settings.
- The final 60-credit project is an opportunity to demonstrate your ability to carry out research in the area of IoT and data science.
Employment and Stats
Employment
- Employment prospects for graduates of the MSc Internet of Things with Data Science are strong, given current and growing levels of demand in fields across health, finance, energy and transport, neuroscience companies and central government.
Typical Roles
- IoT Product Manager
- Supply Chain Transformation Manager
- IoT Data Analyst
- Big Data Engineer
- Business Transformation Manager
Requirements
Applicant Profile
- This course is ideal for mathematics, computing or science graduates, and experienced professionals, eager to build skills in the growing IoT field.
English Language Requirements
- All of our courses are taught and assessed in English. If English is not your first language, you must meet our minimum English language entry requirements. An IELTS score of 6.0 (no element below 5.5) is proof of this, and we also accept a range of equivalent qualifications.
International Applications
- Please check international intakes for the latest information and application dates.
Standard Entry Requirements
- Undergraduate degree: The minimum requirement is a second class division honours degree or equivalent in any discipline, with previous demonstrable mathematical aptitude e.g. (A-level or BTEC Mathematics).
Alternative Entry Requirements
- Accreditation of Prior Learning (APL)
Fees
Type of Study
- Full-time home: £10,350 per year (2025/26)
- Full-time international: £19,100 per year (2025/26)
- Part-time: Calculated on a pro rata basis
Additional Costs
- Having your own laptop (16GB of RAM and an Ethernet port) is not essential, but it will give you more flexibility in where and how you engage with the software you will need to use during your studies (software is provided as part of the course).
- You should consider further costs which may include books, stationery, printing, binding and general subsistence on trips and visits.
International Student Scholarships
- If you are a high-achieving international student, you may be eligible for one of our scholarships. Learn more about our latest international scholarships.
Program Outline
MSc Internet of Things with Data Science
Degree Overview:
This postgraduate degree program aims to equip you with advanced knowledge and skills in Internet of Things (IoT) and data science. It is designed for individuals seeking to enhance their existing qualifications for a career transition into the IoT application field or to take their data science skills to the next level for leading IoT projects. You will gain an understanding of the full data mining lifecycle, from data pre-processing and analysis to the application and evaluation of machine learning algorithms. You will also learn about principles and design of IoT systems, security and privacy challenges, and develop high-level academic and practical work in developing and evaluating a robust, scalable, and usable IoT solution.
Outline:
You will experience all stages, from specification to demonstrating a working prototype. You will examine trade-offs between security and availability, and between privacy and audit. You will also use Apache Spark for large-scale data processing and apply data analysis, visualization, and machine learning techniques.
Assessment:
Assessment methods include practical projects, coursework assignments, and a final project. The final project is an opportunity to demonstrate your ability to carry out research in the area of IoT and data science. You will have flexibility in choosing the area of your project to match your future career interests.
Structure:
- Full-time students complete taught modules in each of the first two trimesters and complete the final project in the third trimester.
- Part-time students complete taught modules in two years.
Teaching:
Learning is delivered through a combination of lectures, seminars, laboratory practicals, and project work. Seminars enable you to discuss and develop your understanding of topics in smaller groups. You will use industry-standard software and have access to computing suites and facilities.
Careers:
Graduates of this program will be well-prepared for careers in various fields, including health, finance, energy, transport, neuroscience companies, and central government. Typical roles include IoT Product Manager, Supply Chain Transformation Manager, IoT Data Analyst, Big Data Engineer, and Business Transformation Manager.
Other:
- The program provides opportunities to work with industry partners on real-world projects.
- The curriculum is regularly reviewed with industry partners to ensure the knowledge and skill set remain relevant to professional needs.
- Full-time home 2024/25 £9,990.00per year
- Full-time international 2024/25 £17,550.00per year
- Part-time 2024/25 £1,665 per 30 credits
- Full-time home 2025/26 £10,350.00per year
- Full-time international 2025/26 £19,100.00 per year
Entry Requirements:
Undergraduate Degree:
- The minimum requirement is a second class division honours degree or equivalent in any discipline, with previous demonstrable mathematical aptitude (e.g., A-level or BTEC Mathematics).
Alternative Entry Requirements:
- Accreditation of Prior Learning (APL):
- The university welcomes applications from students who may not have formal/traditional entry criteria but possess relevant experience or the ability to pursue the course successfully.
- The APL process can help such individuals leverage their work and life experience for entry onto the course or gain exemptions from specific course modules.
- Two forms of APL exist:
- Accreditation of Prior Certificated Learning (APCL)
- Accreditation of Prior Experiential Learning (APEL)
Language Proficiency Requirements:
- All courses are taught and assessed in English.
- Applicants whose first language is not English must meet the minimum English language entry requirements.
- An IELTS score of 6.0 (no element below 5.5) is proof of this, and the university also accepts a range of equivalent qualifications.
- The university offers scholarships worth £10,000 for eligible students applying for the MSc Data Science or MSc Internet of Things with Data Science programs.
- These scholarships are designed to increase diversity in the UK AI and data science sector.
- Scholarships are available to home fee students belonging to one of nine underrepresented groups identified by the OfS, with priorities given to women, Black students, students registered disabled, and those from low socioeconomic backgrounds.
- International students with high academic achievements may be eligible for international scholarships.
