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Data Science and Artificial Intelligence (work experience) at Sheffield Hallam University - UCAS

Course options

2025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Open days

12Mar
Sheffield Hallam University - postgraduate open day
Postgraduate

Course 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:
  • lectures
  • tutorials and seminars
  • regular feedback
  • laboratory sessions
  • real-world problem and practical activity-based sessions and assessment
  • group and individual project work
  • academic advisors
  • supervisor support & guidance
  • 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. 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.

Modules

Important notice: The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described. Following any changes, updated module information will be published on our website. Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances. Modules studied may differ depending on when you start your course. You will be able to complete a placement year as part of this course. See the modules table below for further information. Year 1 Compulsory modules Modules Advanced Artificial Intelligence Projects In Data Science Foundations Of Data Science For Machine Learning Introduction To Programming For Big Data Postgraduate Work Experience Applied Professional Diploma Research Skills For Computing Final year Compulsory modules Modules Artificial Intelligence Seminar Series Computing Research Project

Assessment method

Coursework Practical

How to apply

International applicants

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.

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.

English language requirements

TestGradeAdditional details
IELTS (Academic)6If 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.

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.

Please click the following link to find out more about English language requirements for this course

https://www.shu.ac.uk/courses/Computing/MSc-Data-Science-and-Artificial-Intelligence-Work-Experience/Full-time/2025#entry-requirements

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Our postgraduate fees vary depending on course, level and mode of study. Each postgraduate course page tells you how much the tuition fees are, and what additional costs you might have to budget for during your studies. Please refer to our website for up-to-date information on costs and fees for both full-time and part-time postgraduate study options.

Sponsorship information

Scholarships, discounts and bursaries may be available to students who study this course.

Data Science and Artificial Intelligence (work experience) at Sheffield Hallam University - UCAS