MSc/PgDip Internet of Things with Data Science
| Program start date | Application deadline |
| 2024-09-01 | - |
| 2024-01-01 | - |
Program Overview
The MSc Internet of Things with Data Science program at the University of Salford equips students with advanced knowledge and skills in IoT and data science. It covers the full data mining lifecycle, principles and design of IoT systems, and security and privacy challenges. Graduates are prepared for careers in various fields, including health, finance, and energy, in roles such as IoT Product Manager and IoT Data Analyst.
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
University of Salford: A Summary
Overview:
The University of Salford is a public university located in Salford, Greater Manchester, England. It is known for its strong focus on practical learning and its close ties to industry. The university offers a wide range of undergraduate and postgraduate programs across various disciplines.
Student Life and Campus Experience:
The university provides a vibrant campus experience with a range of facilities and activities for students. These include:
Accommodation:
The university offers a variety of accommodation options, including on-campus residences and private apartments.Sports Centre:
Students can stay active and healthy by joining the university's sports centre, which offers a wide range of activities.Clubs and Societies:
Students can join a variety of clubs and societies to meet new people and pursue their interests.Library:
The university library provides students with access to a wide range of resources, including books, journals, and online databases.Cafe and Dining:
The campus has several cafes and dining options for students to enjoy.Key Reasons to Study There:
Practical Learning:
The university emphasizes practical learning, with many programs incorporating hands-on experience and industry placements.Industry Connections:
The university has strong ties to industry, providing students with opportunities for internships, placements, and networking.Location:
The university is located in Salford, a vibrant city with easy access to Manchester city centre.Modern Facilities:
The university has invested in modern facilities, including a state-of-the-art sports centre and a new library.Other:
The university offers a variety of student support services, including academic advising, career counseling, and mental health support. It also has a strong commitment to research, with a focus on areas such as energy, healthcare, and technology.
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.
