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Help Transform Data into Insights

100% online

8 months (part-time)

60 credits

4 starts per year

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Turn complex data into meaningful insights

The online AI and Data Analytics Postgraduate Certificate programme is designed to equip you with the skills needed to turn complex data into meaningful insights through focused, practical learning. This 8-month, flexible online programme introduces you to core concepts in programming, data analytics, and AI, with an emphasis on applied coursework and real-world datasets. You’ll gain hands-on experience in areas such as data-driven decision-making, machine learning foundations, and data visualisation, while building the confidence to work with modern tools and techniques.

Certificate benefits

Curriculum combining data analytics with modern AI and ML
Hands-on learning that prioritises projects over exams
Real-world data from industry-relevant datasets
Career-ready advanced portfolio of projects

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Develop AI and data skills you can use from day one

4 courses

60 total credits

The online Marketing PGCert curriculum helps develop practical experience in collecting, cleaning, analysing, and interpreting data, while also learning how to communicate insights effectively to both technical and non-technical audiences.

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Core Artificial Intelligence and Data Analytics PGCert modules

Research methods 15 Credits

Focusing on the design and evaluation of empirical research, this module introduces students to the methodologies and analytical approaches used to investigate questions in artificial intelligence, data analytics, and technology-driven environments. Students will explore the scientific method, research design, ethical considerations, and critical academic practice, while developing the ability to formulate research questions, collect and analyse evidence, and evaluate findings. Particular attention is given to both hypothesis-driven research and exploratory data analysis, enabling students to select appropriate methods and justify methodological choices in a range of applied contexts. The module prepares students to undertake independent research and communicate evidence-based findings to academic and professional audiences.

Programming and algorithms 15 Credits

Focusing on the principles of programming and algorithmic problem-solving, this module develops students’ ability to design, implement, and evaluate computational solutions. Students will learn how data structures, control flow mechanisms, functions, and object-oriented programming techniques can be used to address complex problems, including search, sorting, and data processing tasks. The module also introduces the theoretical foundations of algorithm design and analysis, enabling students to assess the efficiency and scalability of different approaches. Through the application of software engineering principles, students will develop robust, maintainable, and effective code suitable for real-world computing environments.

Data programming 15 Credits

Developing practical programming skills for language and data analysis, this module introduces students to the tools and techniques required to acquire, process, and explore data using Python. Students will learn how to collect, clean, validate, and manipulate datasets through structured and reproducible workflows, applying programming concepts to real analytical challenges. The module emphasises the use of data structures, libraries, and visualisation techniques to support exploratory analysis and evidence-based reasoning. Through hands-on engagement with data, students will develop the technical competence and critical awareness required to conduct responsible data analysis and prepare for advanced study in machine learning, natural language processing, and computational linguistics.

Artificial intelligence 15 Credits

Examining the latest developments in artificial intelligence, this module explores how modern AI systems are designed, trained, and applied to address complex real-world challenges. Students will investigate contemporary approaches including machine learning, deep learning, generative AI, and intelligent agents, evaluating their capabilities, limitations, and practical applications across a range of domains. The module combines technical understanding with critical reflection, encouraging students to assess the ethical, societal, and organisational implications of AI technologies while developing evidence-based solutions to real-world problems.

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Career outlook

Graduates of the Postgraduate Certificate in AI and Data Analytics can help prepare foundational skills needed for careers across technology, finance, healthcare, government, business, and other data-driven sectors, with opportunities in data analytics, data science, machine learning, AI consulting, and research.

Explore potential career paths

Consultant Artificial Intelligence £66,358 per year¹

Data Analyst £65,828 per year²

Value of a Postgraduate Certificate (PGCert)

A Postgraduate Certificate (PGCert) offers a flexible way to develop specialist knowledge without committing to a full master’s degree. Complete targeted Level 7 study in a shorter timeframe while balancing work and personal commitments.

Study focused, industry-relevant modules
Complete in less time
Lower overall tuition cost
Apply learning in the workplace
Progress to a PGDip or master’s later

Programme outcomes

By the end of the Postgraduate Certificate in AI and Data Analytics, you will be able to:

Gain a foundational understanding of core concepts and terminology in artificial intelligence and data analytics
Use AI, machine learning, and data analytics techniques to explore and interpret real-world datasets
Work with structured datasets to uncover insights and support data-driven decision-making
Utilise programming languages, tools, and frameworks to build intelligent, data-driven solutions
Identify fundamental ethical, privacy, and bias issues that can arise when using data and AI technologies
Assess different approaches to AI and data challenges and select the most effective solutions
Learn to communicate technical results in clear, accessible language suitable for non-technical audiences
Assist in planning and reporting small-scale data analytics tasks within a broader project or professional context

Entry criteria

Application Deadline 05/02/27

Start Date 01/03/27

Tailored for graduates and professionals seeking to develop specialised skills in AI and Data Analytics without committing to a full master’s degree. While we seek applicants with a bachelor’s degree, we do consider those with relevant work experience. For typical entry to this programme, you will have:

Online application	Apply Now
Degree	A BSc Degree at level 2:2 in a quantitative subject and at least 2 years of relevant professional experience Or No degree and at least 5+ years of relevant work experience (on a case-by-case basis)
Language criteria	If English is not your first language, you’ll usually need an IELTS overall score of 6.5 (with no band below 6.0). In some cases, this may be waived based on prior study, supporting access for a global cohort.

Admissions

Tuition and funding

£4,800 Total cost

60 Total credits

The estimated total cost of this programme is £4,800 GBP for the full PGCert. You can pay in full or instalments of £1,200 for each module. All costs are listed to help you make an informed decision.

Programme fees are reviewed annually and are subject to change each academic year. The fees listed above are for the academic year 2026-27.

Fees and funding

We are excited to be offering discounts. Review our tuition and funding pages for more information.

Funding options

Meet your faculty

Our expert faculty offer extensive knowledge and diverse perspectives, bringing industry insights and real-world expertise directly into the classroom to enhance your learning experience.

Academics with advanced qualifications and specialised expertise
Real-world experience integrated into coursework and discussion
A learning environment that blends academic rigour with structured support
Smaller study groups that enable individual attention and feedback
Ongoing mentorship and support at each stage of your studies at Goldsmiths

Dr Basel Barakat, Programme Convenor, AI and Data Analytics

Dr Basel Barakat

Dr Barakat is a lecturer in Computing at Goldsmiths, specialising in AI, machine learning, IoT systems and real-time communication networks. He holds a PhD in real-time communication systems and works in applied research on sustainable energy, ethical AI, and healthcare forecasting. His recent projects include AI-powered carbon-intensity prediction for electric-vehicle charging and an NHS-funded machine-learning initiative to enhance the prescription process. Dr Barakat has published extensively, and he teaches across AI and data science modules while supervising postgraduate research.

Dr Devakunchari Ramalingam, Programme Convenor, AI and Data Analytics

Dr Devakunchari Ramalingam

Dr Devakunchari is an academic and researcher in AI and data analytics whose work focuses on big data analytics for online social networks. She has extensive experience with leading big data platforms, including Apache Hadoop and Apache Spark, and works with tools such as Apache Flume, Hive, Pig, and NoSQL databases like HBase and MongoDB. Her expertise spans data mining, cloud databases, machine learning, and social network analysis, and she brings this practical, research-led perspective directly into her teaching.

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Sources

ERI Economic Research Institute (2026). Consultant Artificial Intelligence in the United Kingdom (2026). [online] SalaryExpert. Available at: https://www.salaryexpert.com/salary/job/consultant-artificial-intelligence/united-kingdom [Accessed 6 July 2026].
ERI Economic Research Institute (2026). Data Analyst in the United Kingdom (2026). [online] SalaryExpert. Available at: https://www.salaryexpert.com/salary/job/data-analyst/united-kingdom [Accessed 6 July 2026].

Artificial Intelligence and Data Analytics PGCert (Online)