
Data Science and Applied Artificial Intelligence PgDip (Distance Learning)
Start Dates
7 September 2026, 18 January 2027, 10 May 2027
Duration
2 years part-time
Overview
Why choose Huddersfield for this course?
- Develop in-demand skills across three key areas: data science, artificial intelligence and applied computing.
- No prior computer science background required; you'll be supported in developing skills from beginner level.
- Taught 100% online, part-time allowing you to study while working.
Accreditation and Professional Links
Recognised connections to give you an extra edge when you graduate. Read More
Our 100% online Postgraduate Diploma (PgDip) in Data Science and Applied Artificial Intelligence is a conversion course designed for those who want to move into one of the fastest-growing areas of computing, but have no prior knowledge or experience in data science or AI. It offers a clear and supportive route into the field, building your knowledge from core concepts through to advanced, applied techniques.
Designed to meet the growing demand for professionals who can work confidently across data science, AI, and applied computing, the course explores statistical analysis, machine learning, data mining, big data technologies, and data visualisation. You’ll learn how to design intelligent models and generate meaningful data-driven insights that support real-word decision making.
Alongside programming experience in Python, SAS and MATLAB, you will develop the ability to critically evaluate emerging technologies, understanding where they add value and where their limitations lie in practical contexts.
By the end of the course, you’ll be prepared for roles in data analytics, AI development, and intelligent system design across a wide range of sectors.
Learn more about Distance Learning at Huddersfield.
Career opportunities after the course *
Data Scientist
Data Engineer
Data Analyst
Machine Learning Engineer
Software Engineer
*Lightcast
Entry Requirements
Entry requirements for this course are normally:
- A BSc, BEng or BA Honours degree (2:2 or above) or equivalent professional qualification in any subject.
- Other appropriate professional qualifications and/or experience will be considered on an individual basis.
If your first language is not English, you will need to meet the minimum requirements of an English Language qualification. The minimum for IELTS is 6.0 with a minimum score of 6.0 in writing and a minimum of 5.5 in any single component or Duolingo English certificate, score 105 or above. Read more about the University’s entry requirements for students outside of the UK on our International Entry Requirements page.
Course Details
Teaching and Assessment
Discover what to expect from your tutor contact time, assessment methods, and feedback process.
Technology and System Requirements
As a Distance Learning student, you must provide and have access to certain IT equipment and facilities to access your Virtual Learning Environment (VLE) and to fully participate on your course.
Your Career
Graduates of Data Analytics MSc can progress into a range of data-focused and technical roles across sectors including technology, finance, healthcare, retail and government. Many pursue careers as Data Scientists, Data Analysts or Business Analysts, using data-driven insights to support decision-making and strategy. Opportunities also include roles such as Data Engineer or Software Engineer, building and maintaining the systems that enable effective data processing and analysis. These skills are increasingly in demand as organisations look to harness data to drive innovation and performance.
Source: Lightcast data extracted from the Graduate Career Explorer
98% Percentage of our postgraduate students go on to work and/or further study within fifteen months of graduating.
* HESA Graduate Outcomes 2022/23, UK domiciled.
£38,500 Average salary of our postgraduate students fifteen months after graduating.
* HESA Graduate Outcomes 2022/23, mean salary, UK domiciled, full-time UK employment as main activity.
The course content more than met my expectations. I learnt a lot and my job as a Data Analyst Intern went hand in hand with what I was studying.Read More
- Michelle Joynson
Data Analytics MSc Graduate
Fees and Finance
This information is for Home and International students applying to study at the University of Huddersfield in the academic year 2026/27.
Modules credits can range from 15 to 60, dependent on the content of the module. Read more about total credits required for a range of degrees, to allow you to calculate the potential total cost.
Please note that tuition fees for subsequent years may rise in line with inflation (RPI-X) and/or Government policy and/or to ensure our distance learning fees are competitive.
Tuition fees will cover the cost of your study at the University. Read more about what is and is not covered by Tuition Fees including compliance for Goods and Services Tax for International Students studying an online course.
For detailed information please visit www.hud.ac.uk/distance-learning/fees-and-finance/
This information is for Home and International students applying to study at the University of Huddersfield in the academic year 2026/27.
Modules credits can range from 15 to 60, dependent on the content of the module. Read more about total credits required for a range of degrees, to allow you to calculate the potential total cost.
Please note that tuition fees for subsequent years may rise in line with inflation (RPI-X) and/or Government policy and/or to ensure our distance learning fees are competitive.
Tuition fees will cover the cost of your study at the University. Read more about what is and is not covered by Tuition Fees including compliance for Goods and Services Tax for International Students studying an online course.
For detailed information please visit www.hud.ac.uk/distance-learning/fees-and-finance/
Funding options
Explore ways to fund your course with exclusive discounts and government loans (subject to eligibility criteria)
Read moreIf you have any questions about Fees and Finance, please email the Student Finance Team.
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