University of Huddersfield Online
Master of Science (MSc) Data Science and Applied Artificial Intelligence MSc (Distance Learning)
Huddersfield, United Kingdom
MSc
DURATION
3 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Jan 2027
TUITION FEES
GBP 9,900
STUDY FORMAT
Distance Learning
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Key Summary
About: This distance learning MSc converts graduates from any background into data science and applied AI. It covers statistics, predictive analytics, data mining, machine learning, computer vision, NLP, large language models, big data systems and interactive visualization, with practical Python, SAS and MATLAB experience. You complete an Individual Project. It supports SAS certification and will be submitted for BCS accreditation, expected end 2027. It's taught fully online with multiple start dates and designed part-time while working.
Career Outcomes: Roles: Data Scientist, Data Engineer, Data Analyst, Machine Learning Engineer, Software Engineer in tech, finance, healthcare, retail and government. 98% work/study; £38,500.
This distance-learning MSc offers a conversion route into data science and applied AI for students from any undergraduate background. The curriculum develops fundamental skills (statistics, predictive analytics, data mining) and advanced capabilities (machine learning, computer vision, NLP, large language models, big data systems, and interactive visualisation) with practical programming experience (Python, SAS, MATLAB). A substantial Individual Project allows in-depth exploration of a data/AI challenge. The course supports progression towards SAS certification and will be submitted for accreditation by the British Computer Society (BCS) with accreditation expected by the end of 2027. Taught fully online with multiple annual start dates, it is designed to be studied part-time while working.
The programme is delivered as a set of core modules covering data visualisation, applied AI, machine learning, advanced data mining, applied statistics and predictive analytics, big data and advanced databases, and an Individual Project that integrates and applies learning. Modules are practical and applied, using industry tools; credits per module can range from 15 to 60. The course supports SAS certification and uses case studies and projects to develop employability skills.
Graduates can progress into roles such as Data Scientist, Data Engineer, Data Analyst, Machine Learning Engineer and Software Engineer across sectors including technology, finance, healthcare, retail and government. Source: Lightcast. HESA Graduate Outcomes 2022/23 (UK domiciled) report that 98% of postgraduate students go on to work and/or further study within 15 months of graduating, with an average (mean) salary of £38,500 for full-time UK employment.