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The MSc Data Analytics at the University of Portsmouth is a 12-month (or 16 month if you join in January), full-time postgraduate program designed to develop technical expertise in data mining, machine learning, cloud-based systems, and business intelligence.
Accredited by the British Computer Society (BCS), it partially fulfils the educational requirements for CITP and CEng.
The course offers flexible start dates in September and January and is suitable for UK, EU, and international students, including those without a traditional computing background but with relevant experience. Emphasis is placed on practical application through real-world data, industry collaboration, and hands-on use of tools like Python, Hadoop, Spark, and Tableau.
Teaching Methods: Lectures, workshops, seminars, and lab sessions (8–12 hours/week), complemented by 20 hours of independent study
Assessment Methods: Primarily coursework-based, including practical projects, reports, and presentations; some modules may include written exams
Ranking:
Course overview
Core Modules:
Data Management
Intelligent Data and Text Analysis
Programming for Data Analytics and AI
Big Data and Machine Learning Applications
Data Visualisation and Exploratory Analytics
Master Project
Optional Modules:
Business Intelligence
Corpus Linguistics
Cyber Security for Information Systems
Explainable AI
Statistical ML
Industry Projects: Final-year research projects can be delivered in collaboration with companies such as IBM, Specsavers, and Fresh Relevance
Real-World Tools & Data: Students work with Hadoop, Spark, Python, Tableau, KNIME, PostgreSQL, and apply analytics to live university research data in areas like health informatics, cosmology, and robotics
Hands-On Skill Development: Database building, machine learning modelling, statistical inference, and dashboard creation using live datasets
Flexible Project Options: Projects tailored to student interests or workplace-relevant data
Professional Support: Academic advising and Maths Café support enhance technical and analytical capability
High demand for analytics professionals with cloud and big data skills
Employability-focused curriculum develops core skills in AI, business intelligence, and statistical analysis
Career support through the Careers and Employability Centre includes CV/interview help, recruitment events, and start-up guidance for 5 years after graduation
Pathway to PhD for those interested in research
Demonstrable experience using industry-standard software gives graduates a competitive edge across sectors including finance, government, healthcare, and technology
Entry Requirements: A second-class honours degree in a relevant subject, or equivalent professional experience and/or qualifications.IELTS: Overall 6.0 with no component score below 5.5TOEFL: 91 with a minimum of 20 in Reading, 19 in Listening, 21 in Speaking, and 20 in WritingThis course is accredited by the British Computer Society (The Chartered Institute for IT)Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Senior Data ScientistData ArchitectData OfficerInformation StrategistAnalytics ConsultantBusiness Intelligence AnalystPhD Researcher
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University of Portsmouth
