| Program start date | Application deadline |
| 2024-09-01 | - |
| 2025-01-01 | - |
| 2025-09-01 | - |
Program Overview
The MSc/PgDip Artificial Intelligence program equips students with advanced knowledge and skills in AI, including Deep Learning and Natural Language Processing. It provides practical experience in AI application development and connects students to emerging trends in various industries. The program features research-active tutors, specialist labs, and industry collaborations, preparing graduates for high-demand roles in AI development, machine learning, and data science.
Program Outline
Degree Overview:
Overview:
The MSc/PgDip Artificial Intelligence postgraduate degree equips you with in-demand knowledge and skills in AI, preparing you for the digital transformation currently underway. It addresses the growing demand for skilled professionals who can oversee the integration, governance, and monitoring of AI in various industries. This program provides advanced knowledge grounded in research in Machine Learning and Deep Learning, connecting you to emerging trends in healthcare, commerce, transport, professional services, and the built environment.
Objectives:
- Develop advanced knowledge and skills in AI, including Deep Learning and Natural Language Processing.
- Gain practical experience with AI application development using tools like Tensorflow and Keras.
- Learn from research-active tutors and technicians in specialist labs, computer workstations, and online tools.
Outline:
Course Content:
- Data Mining: Explores techniques for extracting knowledge from massive datasets.
- Big Data Analytics: Analyzes Big Data using cloud computing, distributed data processing frameworks, and NoSQL databases.
- Deep Learning: Covers fundamental principles of deep learning, including convolutional neural networks, recurrent neural networks, and transformers.
- Natural Language Processing: Develops skills in tokenization, stemming, segmentation, and maximum entropy models, along with text classification and neural network architectures.
- Machine Learning and Data Mining: Explores data pre-processing, exploratory data analysis, supervised and unsupervised machine learning algorithms, with practical experience using Python and Microsoft Azure Machine Learning.
- Dissertation Project: Integrates learning from the course modules to research, develop, and critically assess an AI solution.
Structure:
- Full-time: Taught modules in the first two trimesters; dissertation project in the third trimester.
- Part-time: Taught modules in years one and two; dissertation project in year three.
Modules:
- Big Data Tools and Techniques (AI)
- Deep Learning
- Natural Language Processing
- Machine Learning and Data Mining
- MSc Project
Assessment:
- Formal assessments: Group activities, practical mini-projects, independent research.
- Feedback: Provided on all coursework and upon request for exams.
- Final Project: Opportunity to demonstrate research ability, application development, and utilization of relevant AI toolkits.
Teaching:
- Tutorial and seminar groups.
- High-quality teaching materials and software.
- Web-based learning support packages.
- Supervised work in computer laboratories.
- Access to a 24-hour campus library, online resources, and dedicated learning zones.
Careers:
- High demand for AI skills in diverse industries.
- Potential roles: AI engineer, business intelligence developer, data analyst, machine learning engineer.
- Research opportunities in knowledge discovery, semantic web, software engineering, big data, data mining, cyber security, information visualization, and virtual environments.
- 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 for the MSc/PgDip Artificial Intelligence course is a second-class (2:2) division honors degree or equivalent in a computer science or related science, technology, engineering, or mathematics subject. This degree must have included programming content. This course is also for industry professionals who hold or aspire to secure roles in senior management, digital transformation, marketing, or information management.
Alternative Entry Requirements
Accreditation of Prior Learning (APL):
- Applications are welcome from students who don't meet the formal entry requirements but have relevant experience or the ability to succeed in the program.
- Through the APL process, your work and life experiences can be taken into account for entry or exemptions.
- Two forms of APL exist: Accreditation of Prior Certificated Learning (APCL) and Accreditation of Prior Experiential Learning (APEL).
Language Proficiency Requirements:
All courses at the University of Salford are delivered and assessed in English. Applicants whose first language isn't English need to demonstrate their proficiency by achieving an IELTS score of 6.0 (no element below 5.5). Other equivalent qualifications are also accepted.
