PgDip Data Science at University of Salford

Programme overview

Postgraduate conversion course in data science and artificial intelligence, accredited by BCS, The Chartered Institute for IT. It builds analytical knowledge and applied programming skills in machine learning, deep learning and big data for graduates and professionals from a range of disciplines. Taught at the Peel Park campus.

Faculty: School of Science, Engineering and Environment | Intake: January and September (2027 entry) | Study mode: full-time, part-time | Location: Salford, England, United Kingdom

What you will study

The 120-credit PgDip comprises four taught modules: Advanced Databases, Big Data Tools and Techniques, Machine Learning and Data Mining, and Applied Statistics and Data Visualisation. Students attend an intensive one-week pre-course session reviewing basic statistics and database concepts and introducing Python or R.

Career pathways

Roles include data scientist, statistician, data engineer, data analyst and machine learning engineer. Graduates have moved into roles at organisations such as the NHS and Channel 4.

Official programme page

Application information

Entry requirements

Minimum second class honours degree (or equivalent) in any discipline, with demonstrable mathematical aptitude, for example A-level or BTEC Mathematics. Ideal for mathematics, computing or science graduates and experienced professionals. Applicants without formal entry criteria may apply through Accreditation of Prior Learning (APCL/APEL) or the Salford Alternative Entry Scheme. International applicants: IELTS 6.0 overall with no element below 5.5 (equivalent qualifications accepted). Applicants attend an intensive one-week session before teaching begins.

Intake: January 2027; September 2027

Duration: Full-time: One year; Part-time: 28 months

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