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Sheffield Hallam University: Data Science and Artificial Intelligence
| Institution | Sheffield Hallam University |
|---|---|
| Department | Sheffield Hallam University |
| Web | http://www.shu.ac.uk |
| Telephone | (+44) 0114 225 5533 |
| Study type | Taught |
MSc
Summary
Please check the Sheffield Hallam University website for the latest information.
Course summary
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Develop critical data science and AI skills for global sectors and businesses.
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Gain hands-on experience with real world data, technologies and industry projects
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Enhance your employability in the rapidly growing data science and AI landscape.
-
Learn essential principles, methodologies and frameworks for hybrid professionals.
-
Gain practical experience through project-based learning.
This course expands your programming knowledge with technical concepts across key areas of data science and AI. You’ll gain practical experience by creating learning models for data, while applying AI methods such as machine learning and neural networks. You’ll also learn from data, ethics and privacy issues related to deploying AI technologies to data.
For full details of course modules, assessments, and teaching methods, please visit the course page on our website: https://www.shu.ac.uk/courses/Computing/MSc-Data-Science-and-Artificial-Intelligence/Full-time/
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Undergraduate degree as 2:2 or above with evidence of some programming experience (work experience or degree). If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent. |
| Location | City Campus Howard Street Sheffield S1 1WB |
Summary
Please check the Sheffield Hallam University website for the latest information.
Course summary
-
Develop critical data science and AI skills for global sectors and businesses.
-
Gain hands-on experience with real world data, technologies and industry projects
-
Enhance your employability in the rapidly growing data science and AI landscape.
-
Learn essential principles, methodologies and frameworks for hybrid professionals.
-
Gain practical experience through project-based learning.
This course expands your programming knowledge with technical concepts across key areas of data science and AI. You’ll gain practical experience by creating learning models for data, while applying AI methods such as machine learning and neural networks. You’ll also learn from data, ethics and privacy issues related to deploying AI technologies to data.
For full details of course modules, assessments, and teaching methods, please visit the course page on our website: https://www.shu.ac.uk/courses/Computing/MSc-Data-Science-and-Artificial-Intelligence/Full-time/
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Undergraduate degree as 2:2 or above with evidence of some programming experience (work experience or degree). If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent. |
| Location | City Campus Howard Street Sheffield S1 1WB |
Summary
Please check the Sheffield Hallam University website for the latest information.
Course summary
-
Develop Data Science and Artificial Intelligence (AI) skills critical to sectors and businesses across the world
-
Gain hands-on experience with real world data, technologies and industry projects
-
Enhance employability readiness in rapidly growing Data Science and AI landscape across sectors
You will learn principles of Data Science and AI methodologies and frameworks that are critical to hybrid professionals. You will gain practical experience through project- based learning in creation of learning models for data and application of AI methods including machine learning and neural networks to learn from data along with ethics and privacy issues related to data when deploying AI technologies.
How you learn
The course builds upon your foundational programming knowledge by introducing technical concepts across keys areas of data science and artificial intelligence. This includes programming for data analytics, data manipulation and visualisation, machine learning foundations, neural networks, and their application to make decisions based on data.
The ethics, security, privacy, and AI-bias in data, is considered in the course alongside the fundamental data analytics and AI technologies and approaches to foster a responsible approach to their use and applications.
To support this, there is a range of ways in which we help students with their learning and ongoing formative feedback:
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lectures
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tutorials and seminars
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regular feedback
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laboratory sessions
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real-world problem and practical activity-based sessions and assessment
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group and individual project work
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academic advisors
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supervisor support & guidance
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acting as mentors for new students
Applied learning Work Experience
This course has a work experience route that offers a placement in industry of up to 12 months. For further information, please see MSc Data Science and Artificial Intelligence (Work Experience)
Live Projects
The course maintains strong links with the data analytics and AI industry, ensuring that the curriculum content remains relevant and aligned with industry requirements. Industry partners and collaborations across local and national research centres include Sheffield Hallam’s Advance Wellbeing Research Centre, Sheffield Robotics, Advanced Manufacturing Research Centre, AstraZeneca, and the British Machine Vision Association. Collaborations with domain experts provides students with exposure to cutting-edge technologies and real-world applications.
This collaboration facilitates live projects, where students work on real-world challenges in data science and application of AI to data analysis. These projects encourage technical and professional skills including creativity, critical thinking, collaboration, communication and leadership that are essential for industry employment. The aim is to mirror the complexity of scenarios encountered in the professional realm.
Networking opportunities
Networking events will also be used to connect students with industrial professionals. Building these connections enhances students' understanding of the AI landscape, opening doors to mentorship, internships, and potential employment opportunities. Students will have opportunities to interact with our MSc Big Data Analytics students and MSc Artificial Intelligence students, as well as benefit from attending our AI Festival, which brings together different cohorts for an enriching day filled with presentations, networking opportunities, and celebrations of completed projects. The events also include themed competitions, allowing them to showcase their skills and knowledge in AI, thereby promoting innovation and development in this rapidly evolving field.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Undergraduate degree as 2:2 or above with evidence of some programming experience (work experience or degree). If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent. This course is not open to international students who require a Tier 4 (General) student visa to study in the UK. If you are an international applicant but do not require a Tier 4 (General) student visa, email our Admissions Team to find out whether you’re eligible to apply. |
| Location | City Campus Howard Street Sheffield S1 1WB |
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